RUN: /usr/share/launchpad-buildd/slavebin/slave-prep Forking launchpad-buildd slave process... Kernel version: Linux bos02-arm64-036 4.4.0-109-generic #132-Ubuntu SMP Tue Jan 9 20:00:40 UTC 2018 aarch64 Buildd toolchain package versions: launchpad-buildd_157 python-lpbuildd_157 sbuild_0.67.0-2ubuntu7.1 bzr-builder_0.7.3+bzr174~ppa13~ubuntu14.10.1 bzr_2.7.0-2ubuntu3.1 git-build-recipe_0.3.4~git201611291343.dcee459~ubuntu16.04.1 git_1:2.7.4-0ubuntu1.3 dpkg-dev_1.18.4ubuntu1.3 python-debian_0.1.27ubuntu2. Syncing the system clock with the buildd NTP service... 20 Jan 08:48:30 ntpdate[1834]: adjust time server 10.211.37.1 offset 0.016220 sec RUN: /usr/share/launchpad-buildd/slavebin/in-target unpack-chroot --backend=chroot --series=bionic --arch=arm64 PACKAGEBUILD-14218464 /home/buildd/filecache-default/78cf3583c71e53d2c7312b9d7596a64d82c6adad Creating target for build PACKAGEBUILD-14218464 RUN: /usr/share/launchpad-buildd/slavebin/in-target mount-chroot --backend=chroot --series=bionic --arch=arm64 PACKAGEBUILD-14218464 Starting target for build PACKAGEBUILD-14218464 RUN: /usr/share/launchpad-buildd/slavebin/in-target override-sources-list --backend=chroot --series=bionic --arch=arm64 PACKAGEBUILD-14218464 'deb http://ftpmaster.internal/ubuntu bionic main universe' 'deb http://ftpmaster.internal/ubuntu bionic-security main universe' 'deb http://ftpmaster.internal/ubuntu bionic-updates main universe' 'deb http://ftpmaster.internal/ubuntu bionic-proposed main universe' Overriding sources.list in build-PACKAGEBUILD-14218464 RUN: /usr/share/launchpad-buildd/slavebin/in-target update-debian-chroot --backend=chroot --series=bionic --arch=arm64 PACKAGEBUILD-14218464 Updating target for build PACKAGEBUILD-14218464 Get:1 http://ftpmaster.internal/ubuntu bionic InRelease [235 kB] Get:2 http://ftpmaster.internal/ubuntu bionic-security InRelease [65.4 kB] Get:3 http://ftpmaster.internal/ubuntu bionic-updates InRelease [65.4 kB] Get:4 http://ftpmaster.internal/ubuntu bionic-proposed InRelease [235 kB] Get:5 http://ftpmaster.internal/ubuntu bionic/main arm64 Packages [972 kB] Get:6 http://ftpmaster.internal/ubuntu bionic/main Translation-en [517 kB] Get:7 http://ftpmaster.internal/ubuntu bionic/universe arm64 Packages [8173 kB] Get:8 http://ftpmaster.internal/ubuntu bionic/universe Translation-en [4941 kB] Get:9 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 Packages [144 kB] Get:10 http://ftpmaster.internal/ubuntu bionic-proposed/main Translation-en [84.4 kB] Get:11 http://ftpmaster.internal/ubuntu bionic-proposed/universe arm64 Packages [323 kB] Get:12 http://ftpmaster.internal/ubuntu bionic-proposed/universe Translation-en [362 kB] Fetched 16.1 MB in 8s (1801 kB/s) Reading package lists... Reading package lists... Building dependency tree... Reading state information... Calculating upgrade... The following packages were automatically installed and are no longer required: gnupg-agent libcurl3-gnutls libgssapi-krb5-2 libidn2-0 libk5crypto3 libkeyutils1 libkrb5-3 libkrb5support0 libnghttp2-14 libpsl5 librtmp1 libunistring0 Use 'sudo apt autoremove' to remove them. The following NEW packages will be installed: dirmngr gnupg-l10n gnupg-utils gpg gpg-agent gpg-wks-client gpg-wks-server gpgconf gpgsm liblsan0 libnghttp2-14 libtsan0 The following packages will be upgraded: adduser apt apt-transport-https base-files base-passwd binutils binutils-aarch64-linux-gnu binutils-common bsdutils build-essential coreutils cpp-7 dash debconf debianutils dpkg dpkg-dev e2fslibs e2fsprogs fakeroot fdisk findutils g++-7 gcc-7 gcc-7-base gnupg gnupg-agent gpgv init init-system-helpers libapparmor1 libapt-pkg5.0 libasan4 libasn1-8-heimdal libassuan0 libatomic1 libbinutils libblkid1 libc-bin libc-dev-bin libc6 libc6-dev libcap-ng0 libcap2 libcc1-0 libcomerr2 libcryptsetup4 libcurl3-gnutls libdpkg-perl libfakeroot libfdisk1 libffi6 libgcc-7-dev libgcc1 libgcrypt20 libgmp10 libgomp1 libgpg-error0 libgssapi-krb5-2 libgssapi3-heimdal libhcrypto4-heimdal libheimbase1-heimdal libheimntlm0-heimdal libhogweed4 libhx509-5-heimdal libidn11 libidn2-0 libip4tc0 libitm1 libk5crypto3 libkeyutils1 libkrb5-26-heimdal libkrb5-3 libkrb5support0 liblockfile-bin liblockfile1 libmount1 libncurses5 libncursesw5 libnettle6 libnpth0 libp11-kit0 libpcre3 libperl5.26 libpng16-16 libprocps6 libpsl5 libroken18-heimdal libseccomp2 libselinux1 libsemanage-common libsemanage1 libsmartcols1 libsqlite3-0 libss2 libssl1.0.0 libstdc++-7-dev libstdc++6 libsystemd0 libtasn1-6 libtinfo5 libubsan0 libudev1 libuuid1 libwind0-heimdal linux-libc-dev lsb-base mount multiarch-support ncurses-base ncurses-bin openssl optipng perl perl-base perl-modules-5.26 pinentry-curses procps sensible-utils systemd systemd-sysv sysvinit-utils tzdata util-linux 124 upgraded, 12 newly installed, 0 to remove and 0 not upgraded. Need to get 55.5 MB of archives. After this operation, 8450 kB of additional disk space will be used. Get:1 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 perl-modules-5.26 all 5.26.1-4 [2761 kB] Get:2 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libperl5.26 arm64 5.26.1-4 [3311 kB] Get:3 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 perl arm64 5.26.1-4 [201 kB] Get:4 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 perl-base arm64 5.26.1-4 [1235 kB] Get:5 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libc6-dev arm64 2.26-0ubuntu3 [2011 kB] Get:6 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libc-dev-bin arm64 2.26-0ubuntu3 [59.1 kB] Get:7 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 linux-libc-dev arm64 4.13.0-30.33 [932 kB] Get:8 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libitm1 arm64 7.2.0-19ubuntu1 [25.5 kB] Get:9 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 gcc-7-base arm64 7.2.0-19ubuntu1 [19.3 kB] Get:10 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libgcc1 arm64 1:7.2.0-19ubuntu1 [33.5 kB] Get:11 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libgomp1 arm64 7.2.0-19ubuntu1 [62.0 kB] Get:12 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libatomic1 arm64 7.2.0-19ubuntu1 [6632 B] Get:13 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libasan4 arm64 7.2.0-19ubuntu1 [335 kB] Get:14 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 liblsan0 arm64 7.2.0-19ubuntu1 [123 kB] Get:15 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libtsan0 arm64 7.2.0-19ubuntu1 [265 kB] Get:16 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libubsan0 arm64 7.2.0-19ubuntu1 [117 kB] Get:17 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 cpp-7 arm64 7.2.0-19ubuntu1 [5317 kB] Get:18 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libcc1-0 arm64 7.2.0-19ubuntu1 [35.4 kB] Get:19 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 g++-7 arm64 7.2.0-19ubuntu1 [6127 kB] Get:20 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 gcc-7 arm64 7.2.0-19ubuntu1 [5969 kB] Get:21 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libgcc-7-dev arm64 7.2.0-19ubuntu1 [835 kB] Get:22 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libstdc++-7-dev arm64 7.2.0-19ubuntu1 [1457 kB] Get:23 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libstdc++6 arm64 7.2.0-19ubuntu1 [377 kB] Get:24 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libgmp10 arm64 2:6.1.2+dfsg-1.2 [204 kB] Get:25 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libbinutils arm64 2.29.1-13ubuntu1 [427 kB] Get:26 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 binutils arm64 2.29.1-13ubuntu1 [3384 B] Get:27 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 binutils-common arm64 2.29.1-13ubuntu1 [190 kB] Get:28 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 binutils-aarch64-linux-gnu arm64 2.29.1-13ubuntu1 [2155 kB] Get:29 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libc6 arm64 2.26-0ubuntu3 [2235 kB] Get:30 http://ftpmaster.internal/ubuntu bionic/main arm64 init-system-helpers all 1.51 [37.3 kB] Get:31 http://ftpmaster.internal/ubuntu bionic/main arm64 base-files arm64 10ubuntu1 [55.9 kB] Get:32 http://ftpmaster.internal/ubuntu bionic/main arm64 bsdutils arm64 1:2.30.2-0.1ubuntu1 [54.6 kB] Get:33 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 coreutils arm64 8.28-1ubuntu1 [1076 kB] Get:34 http://ftpmaster.internal/ubuntu bionic/main arm64 debianutils arm64 4.8.4 [84.7 kB] Get:35 http://ftpmaster.internal/ubuntu bionic/main arm64 dpkg arm64 1.19.0.4ubuntu1 [1100 kB] Get:36 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 dash arm64 0.5.8-2.5ubuntu1 [102 kB] Get:37 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 e2fslibs arm64 1.43.8-2 [138 kB] Get:38 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 e2fsprogs arm64 1.43.8-2 [455 kB] Get:39 http://ftpmaster.internal/ubuntu bionic/main arm64 findutils arm64 4.6.0+git+20170828-2 [278 kB] Get:40 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libncurses5 arm64 6.0+20171125-1ubuntu1 [77.0 kB] Get:41 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libtinfo5 arm64 6.0+20171125-1ubuntu1 [71.4 kB] Get:42 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libncursesw5 arm64 6.0+20171125-1ubuntu1 [96.4 kB] Get:43 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 ncurses-bin arm64 6.0+20171125-1ubuntu1 [153 kB] Get:44 http://ftpmaster.internal/ubuntu bionic/main arm64 libuuid1 arm64 2.30.2-0.1ubuntu1 [14.1 kB] Get:45 http://ftpmaster.internal/ubuntu bionic/main arm64 libblkid1 arm64 2.30.2-0.1ubuntu1 [100 kB] Get:46 http://ftpmaster.internal/ubuntu bionic/main arm64 libsmartcols1 arm64 2.30.2-0.1ubuntu1 [67.0 kB] Get:47 http://ftpmaster.internal/ubuntu bionic/main arm64 libfdisk1 arm64 2.30.2-0.1ubuntu1 [132 kB] Get:48 http://ftpmaster.internal/ubuntu bionic/main arm64 libpcre3 arm64 2:8.39-8 [203 kB] Get:49 http://ftpmaster.internal/ubuntu bionic/main arm64 libselinux1 arm64 2.7-2 [57.4 kB] Get:50 http://ftpmaster.internal/ubuntu bionic/main arm64 libmount1 arm64 2.30.2-0.1ubuntu1 [111 kB] Get:51 http://ftpmaster.internal/ubuntu bionic/main arm64 fdisk arm64 2.30.2-0.1ubuntu1 [93.9 kB] Get:52 http://ftpmaster.internal/ubuntu bionic/main arm64 util-linux arm64 2.30.2-0.1ubuntu1 [796 kB] Get:53 http://ftpmaster.internal/ubuntu bionic/main arm64 base-passwd arm64 3.5.44 [45.6 kB] Get:54 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libc-bin arm64 2.26-0ubuntu3 [469 kB] Get:55 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 ncurses-base all 6.0+20171125-1ubuntu1 [17.3 kB] Get:56 http://ftpmaster.internal/ubuntu bionic/main arm64 sysvinit-utils arm64 2.88dsf-59.10ubuntu1 [17.7 kB] Get:57 http://ftpmaster.internal/ubuntu bionic/main arm64 libudev1 arm64 235-3ubuntu3 [46.3 kB] Get:58 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libapt-pkg5.0 arm64 1.6~alpha7 [756 kB] Get:59 http://ftpmaster.internal/ubuntu bionic/main arm64 debconf all 1.5.65 [124 kB] Get:60 http://ftpmaster.internal/ubuntu bionic/main arm64 adduser all 3.116ubuntu1 [163 kB] Get:61 http://ftpmaster.internal/ubuntu bionic/main arm64 libgpg-error0 arm64 1.27-5 [32.8 kB] Get:62 http://ftpmaster.internal/ubuntu bionic/main arm64 libgcrypt20 arm64 1.8.1-4 [325 kB] Get:63 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 gpgv arm64 2.2.4-1ubuntu1 [165 kB] Get:64 http://ftpmaster.internal/ubuntu bionic/main arm64 libseccomp2 arm64 2.3.1-2.1ubuntu3 [33.9 kB] Get:65 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 apt arm64 1.6~alpha7 [1119 kB] Get:66 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libapparmor1 arm64 2.11.0-2ubuntu19 [26.0 kB] Get:67 http://ftpmaster.internal/ubuntu bionic/main arm64 libcap2 arm64 1:2.25-1.2 [12.2 kB] Get:68 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libcryptsetup4 arm64 2:1.7.5-1ubuntu1 [65.1 kB] Get:69 http://ftpmaster.internal/ubuntu bionic/main arm64 libidn11 arm64 1.33-2.1 [43.0 kB] Get:70 http://ftpmaster.internal/ubuntu bionic/main arm64 libip4tc0 arm64 1.6.1-2ubuntu2 [18.3 kB] Get:71 http://ftpmaster.internal/ubuntu bionic/main arm64 mount arm64 2.30.2-0.1ubuntu1 [102 kB] Get:72 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libprocps6 arm64 2:3.3.12-3ubuntu1 [28.2 kB] Get:73 http://ftpmaster.internal/ubuntu bionic/main arm64 lsb-base all 9.20170808ubuntu1 [12.5 kB] Get:74 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 procps arm64 2:3.3.12-3ubuntu1 [207 kB] Get:75 http://ftpmaster.internal/ubuntu bionic/main arm64 systemd arm64 235-3ubuntu3 [2487 kB] Get:76 http://ftpmaster.internal/ubuntu bionic/main arm64 libsystemd0 arm64 235-3ubuntu3 [165 kB] Get:77 http://ftpmaster.internal/ubuntu bionic/main arm64 init arm64 1.51 [5864 B] Get:78 http://ftpmaster.internal/ubuntu bionic/main arm64 systemd-sysv arm64 235-3ubuntu3 [13.1 kB] Get:79 http://ftpmaster.internal/ubuntu bionic/main arm64 libcap-ng0 arm64 0.7.7-3.1 [10.0 kB] Get:80 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libcomerr2 arm64 1.43.8-2 [10.7 kB] Get:81 http://ftpmaster.internal/ubuntu bionic/main arm64 libsemanage-common all 2.7-2 [6916 B] Get:82 http://ftpmaster.internal/ubuntu bionic/main arm64 libsemanage1 arm64 2.7-2 [70.1 kB] Get:83 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libss2 arm64 1.43.8-2 [9888 B] Get:84 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libffi6 arm64 3.2.1-8 [17.0 kB] Get:85 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libnettle6 arm64 3.4-1 [114 kB] Get:86 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libhogweed4 arm64 3.4-1 [130 kB] Get:87 http://ftpmaster.internal/ubuntu bionic/main arm64 libp11-kit0 arm64 0.23.9-2 [138 kB] Get:88 http://ftpmaster.internal/ubuntu bionic/main arm64 libtasn1-6 arm64 4.12-3 [32.1 kB] Get:89 http://ftpmaster.internal/ubuntu bionic/main arm64 sensible-utils all 0.0.11 [14.8 kB] Get:90 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 gnupg-l10n all 2.2.4-1ubuntu1 [48.6 kB] Get:91 http://ftpmaster.internal/ubuntu bionic/main arm64 libassuan0 arm64 2.5.1-1 [28.8 kB] Get:92 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 gnupg arm64 2.2.4-1ubuntu1 [249 kB] Get:93 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 gnupg-agent all 2.2.4-1ubuntu1 [4544 B] Get:94 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 gpgconf arm64 2.2.4-1ubuntu1 [106 kB] Get:95 http://ftpmaster.internal/ubuntu bionic/main arm64 pinentry-curses arm64 1.0.0-3 [31.3 kB] Get:96 http://ftpmaster.internal/ubuntu bionic/main arm64 libnpth0 arm64 1.5-3 [6844 B] Get:97 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 gpg-agent arm64 2.2.4-1ubuntu1 [190 kB] Get:98 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 gnupg-utils arm64 2.2.4-1ubuntu1 [107 kB] Get:99 http://ftpmaster.internal/ubuntu bionic/main arm64 libsqlite3-0 arm64 3.21.0-1 [422 kB] Get:100 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 gpg arm64 2.2.4-1ubuntu1 [401 kB] Get:101 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 gpg-wks-client arm64 2.2.4-1ubuntu1 [76.6 kB] Get:102 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 gpg-wks-server arm64 2.2.4-1ubuntu1 [71.4 kB] Get:103 http://ftpmaster.internal/ubuntu bionic-proposed/universe arm64 gpgsm arm64 2.2.4-1ubuntu1 [182 kB] Get:104 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 dirmngr arm64 2.2.4-1ubuntu1 [275 kB] Get:105 http://ftpmaster.internal/ubuntu bionic/main arm64 libroken18-heimdal arm64 7.5.0+dfsg-1 [35.4 kB] Get:106 http://ftpmaster.internal/ubuntu bionic/main arm64 libasn1-8-heimdal arm64 7.5.0+dfsg-1 [130 kB] Get:107 http://ftpmaster.internal/ubuntu bionic/main arm64 libheimbase1-heimdal arm64 7.5.0+dfsg-1 [24.9 kB] Get:108 http://ftpmaster.internal/ubuntu bionic/main arm64 libhcrypto4-heimdal arm64 7.5.0+dfsg-1 [76.4 kB] Get:109 http://ftpmaster.internal/ubuntu bionic/main arm64 libwind0-heimdal arm64 7.5.0+dfsg-1 [47.0 kB] Get:110 http://ftpmaster.internal/ubuntu bionic/main arm64 libhx509-5-heimdal arm64 7.5.0+dfsg-1 [88.5 kB] Get:111 http://ftpmaster.internal/ubuntu bionic/main arm64 libkrb5-26-heimdal arm64 7.5.0+dfsg-1 [170 kB] Get:112 http://ftpmaster.internal/ubuntu bionic/main arm64 libheimntlm0-heimdal arm64 7.5.0+dfsg-1 [13.3 kB] Get:113 http://ftpmaster.internal/ubuntu bionic/main arm64 libgssapi3-heimdal arm64 7.5.0+dfsg-1 [79.1 kB] Get:114 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libssl1.0.0 arm64 1.0.2n-1ubuntu1 [721 kB] Get:115 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 multiarch-support arm64 2.26-0ubuntu3 [6916 B] Get:116 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 openssl arm64 1.0.2n-1ubuntu1 [469 kB] Get:117 http://ftpmaster.internal/ubuntu bionic/main arm64 tzdata all 2017c-1 [188 kB] Get:118 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libgssapi-krb5-2 arm64 1.15.2-2 [101 kB] Get:119 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libkrb5-3 arm64 1.15.2-2 [240 kB] Get:120 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libkrb5support0 arm64 1.15.2-2 [28.5 kB] Get:121 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libk5crypto3 arm64 1.15.2-2 [79.7 kB] Get:122 http://ftpmaster.internal/ubuntu bionic/main arm64 libkeyutils1 arm64 1.5.9-9.2ubuntu1 [8708 B] Get:123 http://ftpmaster.internal/ubuntu bionic/main arm64 libidn2-0 arm64 2.0.4-1 [89.1 kB] Get:124 http://ftpmaster.internal/ubuntu bionic/main arm64 libpng16-16 arm64 1.6.34-1 [161 kB] Get:125 http://ftpmaster.internal/ubuntu bionic-proposed/universe arm64 apt-transport-https all 1.6~alpha7 [1692 B] Get:126 http://ftpmaster.internal/ubuntu bionic/main arm64 dpkg-dev all 1.19.0.4ubuntu1 [607 kB] Get:127 http://ftpmaster.internal/ubuntu bionic/main arm64 libdpkg-perl all 1.19.0.4ubuntu1 [211 kB] Get:128 http://ftpmaster.internal/ubuntu bionic/main arm64 build-essential arm64 12.4ubuntu1 [4754 B] Get:129 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libfakeroot arm64 1.22-2ubuntu1 [21.8 kB] Get:130 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 fakeroot arm64 1.22-2ubuntu1 [59.9 kB] Get:131 http://ftpmaster.internal/ubuntu bionic/main arm64 libnghttp2-14 arm64 1.29.0-1 [68.7 kB] Get:132 http://ftpmaster.internal/ubuntu bionic/main arm64 libpsl5 arm64 0.19.1-4 [40.3 kB] Get:133 http://ftpmaster.internal/ubuntu bionic/main arm64 libcurl3-gnutls arm64 7.57.0-1ubuntu1 [177 kB] Get:134 http://ftpmaster.internal/ubuntu bionic/main arm64 liblockfile-bin arm64 1.14-1.1 [11.1 kB] Get:135 http://ftpmaster.internal/ubuntu bionic/main arm64 liblockfile1 arm64 1.14-1.1 [6192 B] Get:136 http://ftpmaster.internal/ubuntu bionic/main arm64 optipng arm64 0.7.6-1.1 [78.1 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 55.5 MB in 6s (8202 kB/s) (Reading database ... 12563 files and directories currently installed.) 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Setting up libpng16-16:arm64 (1.6.34-1) ... Setting up libpsl5:arm64 (0.19.1-4) ... Setting up multiarch-support (2.26-0ubuntu3) ... Setting up tzdata (2017c-1) ... Current default time zone: 'Etc/UTC' Local time is now: Sat Jan 20 08:50:55 UTC 2018. Universal Time is now: Sat Jan 20 08:50:55 UTC 2018. Run 'dpkg-reconfigure tzdata' if you wish to change it. Setting up systemd-sysv (235-3ubuntu3) ... Setting up libubsan0:arm64 (7.2.0-19ubuntu1) ... Setting up libtsan0:arm64 (7.2.0-19ubuntu1) ... Setting up liblockfile1:arm64 (1.14-1.1) ... Setting up linux-libc-dev:arm64 (4.13.0-30.33) ... Setting up libroken18-heimdal:arm64 (7.5.0+dfsg-1) ... Setting up perl-modules-5.26 (5.26.1-4) ... Setting up libkrb5support0:arm64 (1.15.2-2) ... Setting up optipng (0.7.6-1.1) ... Setting up cpp-7 (7.2.0-19ubuntu1) ... Setting up gnupg-l10n (2.2.4-1ubuntu1) ... Setting up liblsan0:arm64 (7.2.0-19ubuntu1) ... Setting up binutils-common:arm64 (2.29.1-13ubuntu1) ... Setting up sensible-utils (0.0.11) ... Processing triggers for libc-bin (2.26-0ubuntu3) ... Setting up libperl5.26:arm64 (5.26.1-4) ... Setting up libheimbase1-heimdal:arm64 (7.5.0+dfsg-1) ... Setting up libfakeroot:arm64 (1.22-2ubuntu1) ... Setting up libsqlite3-0:arm64 (3.21.0-1) ... Setting up libc-dev-bin (2.26-0ubuntu3) ... Setting up libkeyutils1:arm64 (1.5.9-9.2ubuntu1) ... Setting up libc6-dev:arm64 (2.26-0ubuntu3) ... Setting up libassuan0:arm64 (2.5.1-1) ... Setting up libitm1:arm64 (7.2.0-19ubuntu1) ... Setting up libk5crypto3:arm64 (1.15.2-2) ... Setting up libwind0-heimdal:arm64 (7.5.0+dfsg-1) ... Setting up libbinutils:arm64 (2.29.1-13ubuntu1) ... Setting up init (1.51) ... Setting up libasn1-8-heimdal:arm64 (7.5.0+dfsg-1) ... Setting up gpgconf (2.2.4-1ubuntu1) ... Setting up libhcrypto4-heimdal:arm64 (7.5.0+dfsg-1) ... Setting up fakeroot (1.22-2ubuntu1) ... Setting up libhx509-5-heimdal:arm64 (7.5.0+dfsg-1) ... Setting up libgcc-7-dev:arm64 (7.2.0-19ubuntu1) ... Setting up libstdc++-7-dev:arm64 (7.2.0-19ubuntu1) ... Setting up perl (5.26.1-4) ... Setting up binutils-aarch64-linux-gnu (2.29.1-13ubuntu1) ... Setting up gpgsm (2.2.4-1ubuntu1) ... Setting up openssl (1.0.2n-1ubuntu1) ... Setting up gnupg-utils (2.2.4-1ubuntu1) ... Setting up pinentry-curses (1.0.0-3) ... Setting up libkrb5-3:arm64 (1.15.2-2) ... Setting up binutils (2.29.1-13ubuntu1) ... Setting up libkrb5-26-heimdal:arm64 (7.5.0+dfsg-1) ... Setting up dirmngr (2.2.4-1ubuntu1) ... Setting up libheimntlm0-heimdal:arm64 (7.5.0+dfsg-1) ... Setting up gpg (2.2.4-1ubuntu1) ... Setting up gcc-7 (7.2.0-19ubuntu1) ... Setting up g++-7 (7.2.0-19ubuntu1) ... Setting up libdpkg-perl (1.19.0.4ubuntu1) ... Setting up gpg-agent (2.2.4-1ubuntu1) ... Installing new version of config file /etc/X11/Xsession.d/90gpg-agent ... Setting up gpg-wks-server (2.2.4-1ubuntu1) ... Setting up gpg-wks-client (2.2.4-1ubuntu1) ... Setting up libgssapi-krb5-2:arm64 (1.15.2-2) ... Setting up dpkg-dev (1.19.0.4ubuntu1) ... Setting up gnupg-agent (2.2.4-1ubuntu1) ... Setting up libgssapi3-heimdal:arm64 (7.5.0+dfsg-1) ... Setting up build-essential (12.4ubuntu1) ... Setting up libcurl3-gnutls:arm64 (7.57.0-1ubuntu1) ... Setting up gnupg (2.2.4-1ubuntu1) ... Processing triggers for libc-bin (2.26-0ubuntu3) ... RUN: /usr/share/launchpad-buildd/slavebin/sbuild-package PACKAGEBUILD-14218464 arm64 bionic-proposed -c chroot:build-PACKAGEBUILD-14218464 --arch=arm64 --dist=bionic-proposed --nolog scikit-learn_0.19.1-3.dsc Initiating build PACKAGEBUILD-14218464 with 4 jobs across 4 processor cores. Kernel reported to sbuild: 4.4.0-109-generic #132-Ubuntu SMP Tue Jan 9 20:00:40 UTC 2018 aarch64 sbuild (Debian sbuild) 0.67.0 (26 Dec 2015) on bos02-arm64-036.buildd +==============================================================================+ | scikit-learn 0.19.1-3 (arm64) 20 Jan 2018 08:51 | +==============================================================================+ Package: scikit-learn Version: 0.19.1-3 Source Version: 0.19.1-3 Distribution: bionic-proposed Machine Architecture: arm64 Host Architecture: arm64 Build Architecture: arm64 I: NOTICE: Log filtering will replace 'build/scikit-learn-IIUd9a/scikit-learn-0.19.1' with '<>' I: NOTICE: Log filtering will replace 'build/scikit-learn-IIUd9a' with '<>' I: NOTICE: Log filtering will replace 'home/buildd/build-PACKAGEBUILD-14218464/chroot-autobuild' with '<>' +------------------------------------------------------------------------------+ | Fetch source files | +------------------------------------------------------------------------------+ Local sources ------------- scikit-learn_0.19.1-3.dsc exists in .; copying to chroot Check architectures ------------------- Check dependencies ------------------ Merged Build-Depends: build-essential, fakeroot Filtered Build-Depends: build-essential, fakeroot dpkg-deb: building package 'sbuild-build-depends-core-dummy' in '/<>/resolver-LObTnt/apt_archive/sbuild-build-depends-core-dummy.deb'. Ign:1 copy:/<>/resolver-LObTnt/apt_archive ./ InRelease Get:2 copy:/<>/resolver-LObTnt/apt_archive ./ Release [2119 B] Ign:3 copy:/<>/resolver-LObTnt/apt_archive ./ Release.gpg Get:4 copy:/<>/resolver-LObTnt/apt_archive ./ Sources [214 B] Get:5 copy:/<>/resolver-LObTnt/apt_archive ./ Packages [524 B] Fetched 2857 B in 0s (24.2 kB/s) Reading package lists... Reading package lists... +------------------------------------------------------------------------------+ | Install core build dependencies (apt-based resolver) | +------------------------------------------------------------------------------+ Installing build dependencies Reading package lists... Building dependency tree... Reading state information... The following packages were automatically installed and are no longer required: gnupg-agent libcurl3-gnutls libgssapi-krb5-2 libidn2-0 libk5crypto3 libkeyutils1 libkrb5-3 libkrb5support0 libnghttp2-14 libpsl5 librtmp1 libunistring0 Use 'apt autoremove' to remove them. The following NEW packages will be installed: sbuild-build-depends-core-dummy 0 upgraded, 1 newly installed, 0 to remove and 0 not upgraded. Need to get 856 B of archives. After this operation, 0 B of additional disk space will be used. Get:1 copy:/<>/resolver-LObTnt/apt_archive ./ sbuild-build-depends-core-dummy 0.invalid.0 [856 B] debconf: delaying package configuration, since apt-utils is not installed Fetched 856 B in 0s (15.8 kB/s) Selecting previously unselected package sbuild-build-depends-core-dummy. (Reading database ... 12724 files and directories currently installed.) Preparing to unpack .../sbuild-build-depends-core-dummy_0.invalid.0_arm64.deb ... Unpacking sbuild-build-depends-core-dummy (0.invalid.0) ... Setting up sbuild-build-depends-core-dummy (0.invalid.0) ... Merged Build-Depends: debhelper (>= 9), dh-autoreconf, python-all-dev (>= 2.6.6-3~), dh-python, cython (>= 0.12~), python-setuptools, python-numpy (>= 1:1.8.2~), python-scipy, python-nose, python-pytest, python-matplotlib, python-joblib (>= 0.9.2), python3-all-dev, cython3, python3-setuptools, python3-numpy, python3-scipy, python3-nose, python3-pytest, python3-matplotlib, python3-joblib (>= 0.9.2), libsvm-dev (>= 2.84.0), libatlas3-base Filtered Build-Depends: debhelper (>= 9), dh-autoreconf, python-all-dev (>= 2.6.6-3~), dh-python, cython (>= 0.12~), python-setuptools, python-numpy (>= 1:1.8.2~), python-scipy, python-nose, python-pytest, python-matplotlib, python-joblib (>= 0.9.2), python3-all-dev, cython3, python3-setuptools, python3-numpy, python3-scipy, python3-nose, python3-pytest, python3-matplotlib, python3-joblib (>= 0.9.2), libsvm-dev (>= 2.84.0), libatlas3-base dpkg-deb: building package 'sbuild-build-depends-scikit-learn-dummy' in '/<>/resolver-GbxWcY/apt_archive/sbuild-build-depends-scikit-learn-dummy.deb'. Ign:1 copy:/<>/resolver-GbxWcY/apt_archive ./ InRelease Get:2 copy:/<>/resolver-GbxWcY/apt_archive ./ Release [2119 B] Ign:3 copy:/<>/resolver-GbxWcY/apt_archive ./ Release.gpg Get:4 copy:/<>/resolver-GbxWcY/apt_archive ./ Sources [361 B] Get:5 copy:/<>/resolver-GbxWcY/apt_archive ./ Packages [683 B] Fetched 3163 B in 0s (22.6 kB/s) Reading package lists... Reading package lists... +------------------------------------------------------------------------------+ | Install scikit-learn build dependencies (apt-based resolver) | +------------------------------------------------------------------------------+ Installing build dependencies Reading package lists... Building dependency tree... Reading state information... The following packages were automatically installed and are no longer required: gnupg-agent libcurl3-gnutls libidn2-0 libnghttp2-14 libpsl5 librtmp1 Use 'apt autoremove' to remove them. The following additional packages will be installed: adwaita-icon-theme autoconf automake autopoint autotools-dev bsdmainutils cython cython3 debhelper dh-autoreconf dh-python dh-strip-nondeterminism file fontconfig fontconfig-config fonts-lyx gettext gettext-base groff-base gtk-update-icon-cache hicolor-icon-theme humanity-icon-theme intltool-debian libarchive-zip-perl libatk1.0-0 libatk1.0-data libatlas3-base libavahi-client3 libavahi-common-data libavahi-common3 libblas3 libbsd0 libcairo2 libcroco3 libcups2 libdatrie1 libdbus-1-3 libexpat1 libexpat1-dev libfile-stripnondeterminism-perl libfontconfig1 libfreetype6 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgfortran4 libglib2.0-0 libgraphite2-3 libgtk2.0-0 libgtk2.0-common libharfbuzz0b libicu-le-hb0 libicu60 libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery libjs-jquery-ui liblapack3 libmagic-mgc libmagic1 libmpdec2 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libpipeline1 libpixman-1-0 libpython-all-dev libpython-dev libpython-stdlib libpython2.7 libpython2.7-dev libpython2.7-minimal libpython2.7-stdlib libpython3-all-dev libpython3-dev libpython3-stdlib libpython3.6 libpython3.6-dev libpython3.6-minimal libpython3.6-stdlib librsvg2-2 librsvg2-common libsigsegv2 libsvm-dev libsvm3 libthai-data libthai0 libtiff5 libtimedate-perl libtool libx11-6 libx11-data libxau6 libxcb-render0 libxcb-shm0 libxcb1 libxcomposite1 libxcursor1 libxdamage1 libxdmcp6 libxext6 libxfixes3 libxi6 libxinerama1 libxml2 libxrandr2 libxrender1 m4 man-db mime-support po-debconf python python-all python-all-dev python-cycler python-dateutil python-decorator python-dev python-functools32 python-joblib python-matplotlib python-matplotlib-data python-minimal python-nose python-numpy python-pkg-resources python-py python-pyparsing python-pytest python-scipy python-setuptools python-six python-subprocess32 python-tz python2.7 python2.7-dev python2.7-minimal python3 python3-all python3-all-dev python3-cycler python3-dateutil python3-decorator python3-dev python3-distutils python3-joblib python3-lib2to3 python3-matplotlib python3-minimal python3-nose python3-numpy python3-pkg-resources python3-py python3-pyparsing python3-pytest python3-scipy python3-setuptools python3-six python3-tz python3.6 python3.6-dev python3.6-minimal shared-mime-info ttf-bitstream-vera ubuntu-mono ucf Suggested packages: autoconf-archive gnu-standards autoconf-doc wamerican | wordlist whois vacation cython-doc dh-make dwz gettext-doc libasprintf-dev libgettextpo-dev groff cups-common gvfs libjs-jquery-ui-docs librsvg2-bin libtool-doc gfortran | fortran95-compiler gcj-jdk m4-doc less www-browser apparmor libmail-box-perl python-doc python-tk python-cycler-doc dvipng ffmpeg gir1.2-gtk-3.0 ghostscript inkscape ipython python-cairocffi python-configobj python-excelerator python-gobject python-gtk2 python-matplotlib-doc python-qt4 python-sip python-tornado python-traits python-wxgtk3.0 texlive-extra-utils texlive-latex-extra ttf-staypuft python-coverage python-nose-doc gfortran python-numpy-dbg python-numpy-doc subversion python-pytest-xdist python-pyparsing-doc python-mock python-scipy-doc python-setuptools-doc python2.7-doc binfmt-support python3-doc python3-tk python3-venv ipython3 python3-cairocffi python3-gi python3-gi-cairo python3-gobject python3-pyqt4 python3-sip python3-tornado python3-numpy-dbg python3.6-venv python3.6-doc Recommended packages: curl | wget | lynx dbus libarchive-cpio-perl libgdk-pixbuf2.0-bin libglib2.0-data xdg-user-dirs libgail-common libgtk2.0-bin javascript-common libltdl-dev libmail-sendmail-perl python-simplejson python-glade2 python-imaging python-tk python3-simplejson python3-pil python3-tk The following packages will be REMOVED: pkg-create-dbgsym* The following NEW packages will be installed: adwaita-icon-theme autoconf automake autopoint autotools-dev bsdmainutils cython cython3 debhelper dh-autoreconf dh-python dh-strip-nondeterminism file fontconfig fontconfig-config fonts-lyx gettext gettext-base groff-base gtk-update-icon-cache hicolor-icon-theme humanity-icon-theme intltool-debian libarchive-zip-perl libatk1.0-0 libatk1.0-data libatlas3-base libavahi-client3 libavahi-common-data libavahi-common3 libblas3 libbsd0 libcairo2 libcroco3 libcups2 libdatrie1 libdbus-1-3 libexpat1 libexpat1-dev libfile-stripnondeterminism-perl libfontconfig1 libfreetype6 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgfortran4 libglib2.0-0 libgraphite2-3 libgtk2.0-0 libgtk2.0-common libharfbuzz0b libicu-le-hb0 libicu60 libjbig0 libjpeg-turbo8 libjpeg8 libjs-jquery libjs-jquery-ui liblapack3 libmagic-mgc libmagic1 libmpdec2 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libpipeline1 libpixman-1-0 libpython-all-dev libpython-dev libpython-stdlib libpython2.7 libpython2.7-dev libpython2.7-minimal libpython2.7-stdlib libpython3-all-dev libpython3-dev libpython3-stdlib libpython3.6 libpython3.6-dev libpython3.6-minimal libpython3.6-stdlib librsvg2-2 librsvg2-common libsigsegv2 libsvm-dev libsvm3 libthai-data libthai0 libtiff5 libtimedate-perl libtool libx11-6 libx11-data libxau6 libxcb-render0 libxcb-shm0 libxcb1 libxcomposite1 libxcursor1 libxdamage1 libxdmcp6 libxext6 libxfixes3 libxi6 libxinerama1 libxml2 libxrandr2 libxrender1 m4 man-db mime-support po-debconf python python-all python-all-dev python-cycler python-dateutil python-decorator python-dev python-functools32 python-joblib python-matplotlib python-matplotlib-data python-minimal python-nose python-numpy python-pkg-resources python-py python-pyparsing python-pytest python-scipy python-setuptools python-six python-subprocess32 python-tz python2.7 python2.7-dev python2.7-minimal python3 python3-all python3-all-dev python3-cycler python3-dateutil python3-decorator python3-dev python3-distutils python3-joblib python3-lib2to3 python3-matplotlib python3-minimal python3-nose python3-numpy python3-pkg-resources python3-py python3-pyparsing python3-pytest python3-scipy python3-setuptools python3-six python3-tz python3.6 python3.6-dev python3.6-minimal sbuild-build-depends-scikit-learn-dummy shared-mime-info ttf-bitstream-vera ubuntu-mono ucf 0 upgraded, 167 newly installed, 1 to remove and 0 not upgraded. Need to get 105 MB of archives. After this operation, 389 MB of additional disk space will be used. Get:1 copy:/<>/resolver-GbxWcY/apt_archive ./ sbuild-build-depends-scikit-learn-dummy 0.invalid.0 [1008 B] Get:2 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libpython3.6-minimal arm64 3.6.4-3 [524 kB] Get:3 http://ftpmaster.internal/ubuntu bionic/main arm64 libexpat1 arm64 2.2.5-3 [69.2 kB] Get:4 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 python3.6-minimal arm64 3.6.4-3 [1287 kB] Get:5 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 python3-minimal arm64 3.6.4-1 [23.7 kB] Get:6 http://ftpmaster.internal/ubuntu bionic/main arm64 mime-support all 3.60ubuntu1 [30.1 kB] Get:7 http://ftpmaster.internal/ubuntu bionic/main arm64 libmpdec2 arm64 2.4.2-1 [74.3 kB] Get:8 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libpython3.6-stdlib arm64 3.6.4-3 [1598 kB] Get:9 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 python3-lib2to3 all 3.6.4-2 [76.6 kB] Get:10 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 python3-distutils all 3.6.4-2 [144 kB] Get:11 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 python3.6 arm64 3.6.4-3 [181 kB] Get:12 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libpython3-stdlib arm64 3.6.4-1 [7184 B] Get:13 http://ftpmaster.internal/ubuntu bionic/main arm64 dh-python all 2.20170125 [83.7 kB] Get:14 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 python3 arm64 3.6.4-1 [8768 B] Get:15 http://ftpmaster.internal/ubuntu bionic/main arm64 libxau6 arm64 1:1.0.8-1 [7590 B] Get:16 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libbsd0 arm64 0.8.7-1 [36.4 kB] Get:17 http://ftpmaster.internal/ubuntu bionic/main arm64 libxdmcp6 arm64 1:1.1.2-3 [9694 B] Get:18 http://ftpmaster.internal/ubuntu bionic/main arm64 libxcb1 arm64 1.12-1ubuntu1 [37.0 kB] Get:19 http://ftpmaster.internal/ubuntu bionic/main arm64 libx11-data all 2:1.6.4-3 [114 kB] Get:20 http://ftpmaster.internal/ubuntu bionic/main arm64 libx11-6 arm64 2:1.6.4-3 [515 kB] Get:21 http://ftpmaster.internal/ubuntu bionic/main arm64 libxext6 arm64 2:1.3.3-1 [25.4 kB] Get:22 http://ftpmaster.internal/ubuntu bionic/main arm64 groff-base arm64 1.22.3-9 [1129 kB] Get:23 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 bsdmainutils arm64 11.1.2ubuntu1 [175 kB] Get:24 http://ftpmaster.internal/ubuntu bionic/main arm64 libpipeline1 arm64 1.5.0-1 [22.0 kB] Get:25 http://ftpmaster.internal/ubuntu bionic/main arm64 man-db arm64 2.7.6.1-4 [873 kB] Get:26 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libfreetype6 arm64 2.8.1-0.1ubuntu2 [289 kB] Get:27 http://ftpmaster.internal/ubuntu bionic/main arm64 ucf all 3.0036 [52.9 kB] Get:28 http://ftpmaster.internal/ubuntu bionic/universe arm64 ttf-bitstream-vera all 1.10-8 [352 kB] Get:29 http://ftpmaster.internal/ubuntu bionic/main arm64 fontconfig-config all 2.12.6-0ubuntu1 [55.5 kB] Get:30 http://ftpmaster.internal/ubuntu bionic/main arm64 libfontconfig1 arm64 2.12.6-0ubuntu1 [125 kB] Get:31 http://ftpmaster.internal/ubuntu bionic/main arm64 fontconfig arm64 2.12.6-0ubuntu1 [167 kB] Get:32 http://ftpmaster.internal/ubuntu bionic/main arm64 libjpeg-turbo8 arm64 1.5.2-0ubuntu5 [91.1 kB] Get:33 http://ftpmaster.internal/ubuntu bionic/main arm64 libxinerama1 arm64 2:1.1.3-1 [7438 B] Get:34 http://ftpmaster.internal/ubuntu bionic/main arm64 libpython2.7-minimal arm64 2.7.14-4 [337 kB] Get:35 http://ftpmaster.internal/ubuntu bionic/main arm64 python2.7-minimal arm64 2.7.14-4 [1139 kB] Get:36 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 python-minimal arm64 2.7.14-4 [28.0 kB] Get:37 http://ftpmaster.internal/ubuntu bionic/main arm64 libpython2.7-stdlib arm64 2.7.14-4 [1851 kB] Get:38 http://ftpmaster.internal/ubuntu bionic/main arm64 python2.7 arm64 2.7.14-4 [233 kB] Get:39 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libpython-stdlib arm64 2.7.14-4 [7540 B] Get:40 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 python arm64 2.7.14-4 [140 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http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libxml2 arm64 2.9.4+dfsg1-6.1ubuntu1 [547 kB] Get:52 http://ftpmaster.internal/ubuntu bionic/main arm64 shared-mime-info arm64 1.9-2 [423 kB] Get:53 http://ftpmaster.internal/ubuntu bionic/main arm64 gettext-base arm64 0.19.8.1-4ubuntu2 [46.4 kB] Get:54 http://ftpmaster.internal/ubuntu bionic/main arm64 hicolor-icon-theme all 0.17-1 [10.3 kB] Get:55 http://ftpmaster.internal/ubuntu bionic/main arm64 libjpeg8 arm64 8c-2ubuntu8 [2198 B] Get:56 http://ftpmaster.internal/ubuntu bionic/main arm64 libtiff5 arm64 4.0.9-3 [129 kB] Get:57 http://ftpmaster.internal/ubuntu bionic/main arm64 libgdk-pixbuf2.0-common all 2.36.11-1 [4260 B] Get:58 http://ftpmaster.internal/ubuntu bionic/main arm64 libgdk-pixbuf2.0-0 arm64 2.36.11-1 [142 kB] Get:59 http://ftpmaster.internal/ubuntu bionic/main arm64 gtk-update-icon-cache arm64 3.22.26-2ubuntu1 [26.6 kB] Get:60 http://ftpmaster.internal/ubuntu bionic/main arm64 libpixman-1-0 arm64 0.34.0-2 [115 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http://ftpmaster.internal/ubuntu bionic/main arm64 automake all 1:1.15.1-3ubuntu1 [509 kB] Get:82 http://ftpmaster.internal/ubuntu bionic/main arm64 autopoint all 0.19.8.1-4ubuntu2 [412 kB] Get:83 http://ftpmaster.internal/ubuntu bionic/universe arm64 cython arm64 0.26.1-0.4 [1590 kB] Get:84 http://ftpmaster.internal/ubuntu bionic/universe arm64 cython3 arm64 0.26.1-0.4 [1621 kB] Get:85 http://ftpmaster.internal/ubuntu bionic/main arm64 libtool all 2.4.6-2 [194 kB] Get:86 http://ftpmaster.internal/ubuntu bionic/main arm64 dh-autoreconf all 15 [15.8 kB] Get:87 http://ftpmaster.internal/ubuntu bionic/main arm64 libarchive-zip-perl all 1.60-1 [83.9 kB] Get:88 http://ftpmaster.internal/ubuntu bionic/main arm64 libfile-stripnondeterminism-perl all 0.040-1 [13.9 kB] Get:89 http://ftpmaster.internal/ubuntu bionic/main arm64 libtimedate-perl all 2.3000-2 [37.5 kB] Get:90 http://ftpmaster.internal/ubuntu bionic/main arm64 dh-strip-nondeterminism all 0.040-1 [5196 B] Get:91 http://ftpmaster.internal/ubuntu bionic/main arm64 gettext arm64 0.19.8.1-4ubuntu2 [1027 kB] Get:92 http://ftpmaster.internal/ubuntu bionic/main arm64 intltool-debian all 0.35.0+20060710.4 [24.9 kB] Get:93 http://ftpmaster.internal/ubuntu bionic/main arm64 po-debconf all 1.0.20 [232 kB] Get:94 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 debhelper all 11.1.2ubuntu1 [900 kB] Get:95 http://ftpmaster.internal/ubuntu bionic/universe arm64 fonts-lyx all 2.2.3-2 [155 kB] Get:96 http://ftpmaster.internal/ubuntu bionic/main arm64 libatk1.0-data all 2.26.1-2 [3008 B] Get:97 http://ftpmaster.internal/ubuntu bionic/main arm64 libatk1.0-0 arm64 2.26.1-2 [37.3 kB] Get:98 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libgfortran4 arm64 7.2.0-19ubuntu1 [248 kB] Get:99 http://ftpmaster.internal/ubuntu bionic/universe arm64 libatlas3-base arm64 3.10.3-5 [2097 kB] Get:100 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 libavahi-common-data arm64 0.7-3ubuntu2 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arm64 python3.6-dev arm64 3.6.4-3 [524 kB] Get:150 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 python3-dev arm64 3.6.4-1 [1276 B] Get:151 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 python3-all-dev arm64 3.6.4-1 [1092 B] Get:152 http://ftpmaster.internal/ubuntu bionic/main arm64 python3-six all 1.11.0-1 [11.2 kB] Get:153 http://ftpmaster.internal/ubuntu bionic/universe arm64 python3-cycler all 0.10.0-1 [7622 B] Get:154 http://ftpmaster.internal/ubuntu bionic/main arm64 python3-dateutil all 2.6.1-1 [52.3 kB] Get:155 http://ftpmaster.internal/ubuntu bionic/universe arm64 python3-decorator all 4.1.2-1 [9364 B] Get:156 http://ftpmaster.internal/ubuntu bionic/universe arm64 python3-joblib all 0.11-1 [109 kB] Get:157 http://ftpmaster.internal/ubuntu bionic/main arm64 python3-pyparsing all 2.1.10+dfsg1-1 [51.8 kB] Get:158 http://ftpmaster.internal/ubuntu bionic/main arm64 python3-tz all 2017.2-2 [25.1 kB] Get:159 http://ftpmaster.internal/ubuntu bionic/main arm64 python3-numpy arm64 1:1.13.3-2ubuntu1 [1734 kB] Get:160 http://ftpmaster.internal/ubuntu bionic/universe arm64 python3-matplotlib arm64 2.0.0+dfsg1-2ubuntu3 [1444 kB] Get:161 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 python3-pkg-resources all 38.2.4-2 [99.1 kB] Get:162 http://ftpmaster.internal/ubuntu bionic/universe arm64 python3-nose all 1.3.7-3 [115 kB] Get:163 http://ftpmaster.internal/ubuntu bionic/universe arm64 python3-py all 1.4.34-3 [63.5 kB] Get:164 http://ftpmaster.internal/ubuntu bionic/universe arm64 python3-pytest all 3.2.1-2 [143 kB] Get:165 http://ftpmaster.internal/ubuntu bionic-proposed/main arm64 python3-setuptools all 38.2.4-2 [186 kB] Get:166 http://ftpmaster.internal/ubuntu bionic/universe arm64 python-scipy arm64 0.19.1-1ubuntu1 [8656 kB] Get:167 http://ftpmaster.internal/ubuntu bionic/universe arm64 python3-scipy arm64 0.19.1-1ubuntu1 [8635 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 105 MB in 10s 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Unpacking python3-setuptools (38.2.4-2) ... Selecting previously unselected package python-scipy. Preparing to unpack .../126-python-scipy_0.19.1-1ubuntu1_arm64.deb ... Unpacking python-scipy (0.19.1-1ubuntu1) ... Selecting previously unselected package python3-scipy. Preparing to unpack .../127-python3-scipy_0.19.1-1ubuntu1_arm64.deb ... Unpacking python3-scipy (0.19.1-1ubuntu1) ... Selecting previously unselected package sbuild-build-depends-scikit-learn-dummy. Preparing to unpack .../128-sbuild-build-depends-scikit-learn-dummy_0.invalid.0_arm64.deb ... Unpacking sbuild-build-depends-scikit-learn-dummy (0.invalid.0) ... Setting up libjs-jquery (3.2.1-1) ... Setting up libgtk2.0-common (2.24.31-4ubuntu1) ... Setting up libarchive-zip-perl (1.60-1) ... Setting up mime-support (3.60ubuntu1) ... Setting up libgfortran4:arm64 (7.2.0-19ubuntu1) ... Setting up libtimedate-perl (2.3000-2) ... Setting up libjbig0:arm64 (2.1-3.1) ... Setting up libsigsegv2:arm64 (2.11-1) ... Setting up groff-base (1.22.3-9) ... Setting up libglib2.0-0:arm64 (2.54.1-1ubuntu1) ... No schema files found: doing nothing. Setting up libgdk-pixbuf2.0-common (2.36.11-1) ... Setting up libdatrie1:arm64 (0.2.10-6) ... Setting up gettext-base (0.19.8.1-4ubuntu2) ... Setting up libjpeg-turbo8:arm64 (1.5.2-0ubuntu5) ... Setting up libpipeline1:arm64 (1.5.0-1) ... Setting up libsvm3 (3.21+ds-1.1) ... Setting up m4 (1.4.18-1) ... Setting up libbsd0:arm64 (0.8.7-1) ... Setting up ucf (3.0036) ... Setting up libfreetype6:arm64 (2.8.1-0.1ubuntu2) ... Setting up libmagic-mgc (1:5.32-1) ... Setting up libmagic1:arm64 (1:5.32-1) ... Setting up libgraphite2-3:arm64 (1.3.10-8) ... Setting up libatk1.0-data (2.26.1-2) ... Setting up libpixman-1-0:arm64 (0.34.0-2) ... Setting up libblas3:arm64 (3.7.1-4ubuntu1) ... update-alternatives: using /usr/lib/aarch64-linux-gnu/blas/libblas.so.3 to provide /usr/lib/aarch64-linux-gnu/libblas.so.3 (libblas.so.3-aarch64-linux-gnu) in auto mode Processing triggers for libc-bin (2.26-0ubuntu3) ... Setting up autotools-dev (20171216.1) ... Setting up libatk1.0-0:arm64 (2.26.1-2) ... Setting up libjs-jquery-ui (1.12.1+dfsg-5) ... Setting up libexpat1-dev:arm64 (2.2.5-3) ... Setting up ttf-bitstream-vera (1.10-8) ... Setting up libthai-data (0.1.27-1) ... Setting up libxdmcp6:arm64 (1:1.1.2-3) ... Setting up bsdmainutils (11.1.2ubuntu1) ... update-alternatives: using /usr/bin/bsd-write to provide /usr/bin/write (write) in auto mode update-alternatives: using /usr/bin/bsd-from to provide /usr/bin/from (from) in auto mode Setting up hicolor-icon-theme (0.17-1) ... Setting up libx11-data (2:1.6.4-3) ... Setting up libpython2.7-stdlib:arm64 (2.7.14-4) ... Setting up libxau6:arm64 (1:1.0.8-1) ... Setting up autopoint (0.19.8.1-4ubuntu2) ... Setting up libmpdec2:arm64 (2.4.2-1) ... Setting up libdbus-1-3:arm64 (1.12.2-1ubuntu1) ... Setting up libavahi-common-data:arm64 (0.7-3ubuntu2) ... Setting up fonts-lyx (2.2.3-2) ... Setting up libsvm-dev (3.21+ds-1.1) ... Setting up libfile-stripnondeterminism-perl (0.040-1) ... Setting up libjpeg8:arm64 (8c-2ubuntu8) ... Setting up libpython3.6-stdlib:arm64 (3.6.4-3) ... Setting up libatlas3-base:arm64 (3.10.3-5) ... update-alternatives: using /usr/lib/aarch64-linux-gnu/atlas/libblas.so.3 to provide /usr/lib/aarch64-linux-gnu/libblas.so.3 (libblas.so.3-aarch64-linux-gnu) in auto mode update-alternatives: using /usr/lib/aarch64-linux-gnu/atlas/liblapack.so.3 to provide /usr/lib/aarch64-linux-gnu/liblapack.so.3 (liblapack.so.3-aarch64-linux-gnu) in auto mode Setting up fontconfig-config (2.12.6-0ubuntu1) ... Setting up python-matplotlib-data (2.0.0+dfsg1-2ubuntu3) ... Setting up liblapack3:arm64 (3.7.1-4ubuntu1) ... Setting up python2.7 (2.7.14-4) ... Setting up libharfbuzz0b:arm64 (1.7.2-1) ... Setting up libtiff5:arm64 (4.0.9-3) ... Setting up autoconf (2.69-11) ... Setting up libthai0:arm64 (0.1.27-1) ... Setting up file (1:5.32-1) ... Setting up libpython-stdlib:arm64 (2.7.14-4) ... Setting up libpython2.7:arm64 (2.7.14-4) ... Setting up automake (1:1.15.1-3ubuntu1) ... update-alternatives: using /usr/bin/automake-1.15 to provide /usr/bin/automake (automake) in auto mode Setting up man-db (2.7.6.1-4) ... Not building database; man-db/auto-update is not 'true'. Setting up libpython2.7-dev:arm64 (2.7.14-4) ... Setting up libavahi-common3:arm64 (0.7-3ubuntu2) ... Setting up python2.7-dev (2.7.14-4) ... Setting up libxcb1:arm64 (1.12-1ubuntu1) ... Setting up python (2.7.14-4) ... Setting up libpython3.6:arm64 (3.6.4-3) ... Setting up python-pyparsing (2.1.10+dfsg1-1) ... Setting up libtool (2.4.6-2) ... Setting up libpython3-stdlib:arm64 (3.6.4-1) ... Setting up libpython-dev:arm64 (2.7.14-4) ... Setting up libfontconfig1:arm64 (2.12.6-0ubuntu1) ... Setting up python-functools32 (3.2.3.2-3) ... Setting up libxcb-render0:arm64 (1.12-1ubuntu1) ... Setting up python-dev (2.7.14-4) ... Setting up python-joblib (0.11-1) ... Setting up python-tz (2017.2-2) ... Setting up libx11-6:arm64 (2:1.6.4-3) ... Setting up libpython-all-dev:arm64 (2.7.14-4) ... Setting up python-pkg-resources (38.2.4-2) ... Setting up libpython3.6-dev:arm64 (3.6.4-3) ... Setting up python-numpy (1:1.13.3-2ubuntu1) ... Setting up cython (0.26.1-0.4) ... Setting up python-six (1.11.0-1) ... Setting up libxcomposite1:arm64 (1:0.4.4-2) ... Setting up libxcb-shm0:arm64 (1.12-1ubuntu1) ... Setting up libxrender1:arm64 (1:0.9.10-1) ... Setting up libavahi-client3:arm64 (0.7-3ubuntu2) ... Setting up python-decorator (4.1.2-1) ... Setting up python-subprocess32 (3.2.7-2) ... Setting up python-nose (1.3.7-3) ... Setting up python-all (2.7.14-4) ... Setting up fontconfig (2.12.6-0ubuntu1) ... Regenerating fonts cache... done. Setting up libcups2:arm64 (2.2.6-4) ... Setting up libpython3-dev:arm64 (3.6.4-1) ... Setting up python-setuptools (38.2.4-2) ... Setting up libxdamage1:arm64 (1:1.1.4-3) ... Setting up libxext6:arm64 (2:1.3.3-1) ... Setting up libxfixes3:arm64 (1:5.0.3-1) ... Setting up python-scipy (0.19.1-1ubuntu1) ... Setting up python-py (1.4.34-3) ... Setting up python-pytest (3.2.1-2) ... Setting up python-cycler (0.10.0-1) ... Setting up python-dateutil (2.6.1-1) ... Setting up libxcursor1:arm64 (1:1.1.15-1) ... Setting up python-all-dev (2.7.14-4) ... Setting up libpython3-all-dev:arm64 (3.6.4-1) ... Setting up libpango-1.0-0:arm64 (1.40.14-1) ... Setting up libxrandr2:arm64 (2:1.5.1-1) ... Setting up libxi6:arm64 (2:1.7.9-1) ... Setting up libcairo2:arm64 (1.15.8-3) ... Setting up libxinerama1:arm64 (2:1.1.3-1) ... Setting up libpangoft2-1.0-0:arm64 (1.40.14-1) ... Setting up libpangocairo-1.0-0:arm64 (1.40.14-1) ... Setting up dh-autoreconf (15) ... Setting up python3 (3.6.4-1) ... Setting up libicu-le-hb0:arm64 (1.0.3+git161113-4) ... Setting up python3-six (1.11.0-1) ... Setting up python3-pyparsing (2.1.10+dfsg1-1) ... Setting up python3-cycler (0.10.0-1) ... Setting up python3-pkg-resources (38.2.4-2) ... Setting up dh-strip-nondeterminism (0.040-1) ... Setting up python3-nose (1.3.7-3) ... Setting up cython3 (0.26.1-0.4) ... Setting up python3-lib2to3 (3.6.4-2) ... Setting up dh-python (2.20170125) ... Setting up python3-decorator (4.1.2-1) ... Setting up python3-tz (2017.2-2) ... Setting up python3-distutils (3.6.4-2) ... Setting up python3-joblib (0.11-1) ... Setting up python3-dateutil (2.6.1-1) ... Setting up libicu60:arm64 (60.2-1ubuntu1) ... Setting up python3.6 (3.6.4-3) ... Setting up python3-py (1.4.34-3) ... Setting up python3-numpy (1:1.13.3-2ubuntu1) ... Setting up python3-pytest (3.2.1-2) ... Setting up libxml2:arm64 (2.9.4+dfsg1-6.1ubuntu1) ... Setting up libcroco3:arm64 (0.6.12-2) ... Setting up python3-all (3.6.4-1) ... Setting up shared-mime-info (1.9-2) ... Setting up python3-setuptools (38.2.4-2) ... Setting up python3.6-dev (3.6.4-3) ... Setting up python3-matplotlib (2.0.0+dfsg1-2ubuntu3) ... Setting up python3-scipy (0.19.1-1ubuntu1) ... Setting up gettext (0.19.8.1-4ubuntu2) ... Setting up libgdk-pixbuf2.0-0:arm64 (2.36.11-1) ... Setting up python3-dev (3.6.4-1) ... Setting up intltool-debian (0.35.0+20060710.4) ... Setting up gtk-update-icon-cache (3.22.26-2ubuntu1) ... Setting up librsvg2-2:arm64 (2.40.20-2) ... Setting up po-debconf (1.0.20) ... Setting up python3-all-dev (3.6.4-1) ... Setting up librsvg2-common:arm64 (2.40.20-2) ... Setting up adwaita-icon-theme (3.26.1-1ubuntu1) ... update-alternatives: using /usr/share/icons/Adwaita/cursor.theme to provide /usr/share/icons/default/index.theme (x-cursor-theme) in auto mode Setting up debhelper (11.1.2ubuntu1) ... Setting up libgtk2.0-0:arm64 (2.24.31-4ubuntu1) ... Setting up python-matplotlib (2.0.0+dfsg1-2ubuntu3) ... Setting up humanity-icon-theme (0.6.14) ... Setting up sbuild-build-depends-scikit-learn-dummy (0.invalid.0) ... Setting up ubuntu-mono (16.10+18.04.20171224.1-0ubuntu1) ... (Reading database ... 35898 files and directories currently installed.) Purging configuration files for pkg-create-dbgsym (0.73) ... Processing triggers for libgdk-pixbuf2.0-0:arm64 (2.36.11-1) ... Processing triggers for libc-bin (2.26-0ubuntu3) ... +------------------------------------------------------------------------------+ | Build environment | +------------------------------------------------------------------------------+ Kernel: Linux 4.4.0-109-generic arm64 (aarch64) Toolchain package versions: binutils_2.29.1-13ubuntu1 dpkg-dev_1.19.0.4ubuntu1 g++-7_7.2.0-19ubuntu1 gcc-7_7.2.0-19ubuntu1 libc6-dev_2.26-0ubuntu3 libstdc++-7-dev_7.2.0-19ubuntu1 libstdc++6_7.2.0-19ubuntu1 linux-libc-dev_4.13.0-30.33 Package versions: adduser_3.116ubuntu1 advancecomp_2.0-1 adwaita-icon-theme_3.26.1-1ubuntu1 apt_1.6~alpha7 apt-transport-https_1.6~alpha7 autoconf_2.69-11 automake_1:1.15.1-3ubuntu1 autopoint_0.19.8.1-4ubuntu2 autotools-dev_20171216.1 base-files_10ubuntu1 base-passwd_3.5.44 bash_4.4-5ubuntu1 binutils_2.29.1-13ubuntu1 binutils-aarch64-linux-gnu_2.29.1-13ubuntu1 binutils-common_2.29.1-13ubuntu1 bsdmainutils_11.1.2ubuntu1 bsdutils_1:2.30.2-0.1ubuntu1 build-essential_12.4ubuntu1 bzip2_1.0.6-8.1 ca-certificates_20170717 coreutils_8.28-1ubuntu1 cpp_4:7.2.0-1ubuntu1 cpp-7_7.2.0-19ubuntu1 cython_0.26.1-0.4 cython3_0.26.1-0.4 dash_0.5.8-2.5ubuntu1 debconf_1.5.65 debhelper_11.1.2ubuntu1 debianutils_4.8.4 dh-autoreconf_15 dh-python_2.20170125 dh-strip-nondeterminism_0.040-1 diffutils_1:3.6-1 dirmngr_2.2.4-1ubuntu1 dmsetup_2:1.02.137-2ubuntu3 dpkg_1.19.0.4ubuntu1 dpkg-dev_1.19.0.4ubuntu1 e2fslibs_1.43.8-2 e2fsprogs_1.43.8-2 fakeroot_1.22-2ubuntu1 fdisk_2.30.2-0.1ubuntu1 file_1:5.32-1 findutils_4.6.0+git+20170828-2 fontconfig_2.12.6-0ubuntu1 fontconfig-config_2.12.6-0ubuntu1 fonts-lyx_2.2.3-2 g++_4:7.2.0-1ubuntu1 g++-7_7.2.0-19ubuntu1 gcc_4:7.2.0-1ubuntu1 gcc-7_7.2.0-19ubuntu1 gcc-7-base_7.2.0-19ubuntu1 gettext_0.19.8.1-4ubuntu2 gettext-base_0.19.8.1-4ubuntu2 gnupg_2.2.4-1ubuntu1 gnupg-agent_2.2.4-1ubuntu1 gnupg-l10n_2.2.4-1ubuntu1 gnupg-utils_2.2.4-1ubuntu1 gpg_2.2.4-1ubuntu1 gpg-agent_2.2.4-1ubuntu1 gpg-wks-client_2.2.4-1ubuntu1 gpg-wks-server_2.2.4-1ubuntu1 gpgconf_2.2.4-1ubuntu1 gpgsm_2.2.4-1ubuntu1 gpgv_2.2.4-1ubuntu1 grep_3.1-2 groff-base_1.22.3-9 gtk-update-icon-cache_3.22.26-2ubuntu1 gzip_1.6-5ubuntu1 hicolor-icon-theme_0.17-1 hostname_3.18 humanity-icon-theme_0.6.14 init_1.51 init-system-helpers_1.51 initscripts_2.88dsf-59.3ubuntu2 insserv_1.14.0-5ubuntu3 intltool-debian_0.35.0+20060710.4 libacl1_2.2.52-3build1 libapparmor1_2.11.0-2ubuntu19 libapt-pkg5.0_1.6~alpha7 libarchive-zip-perl_1.60-1 libasan4_7.2.0-19ubuntu1 libasn1-8-heimdal_7.5.0+dfsg-1 libassuan0_2.5.1-1 libatk1.0-0_2.26.1-2 libatk1.0-data_2.26.1-2 libatlas3-base_3.10.3-5 libatomic1_7.2.0-19ubuntu1 libattr1_1:2.4.47-2build1 libaudit-common_1:2.7.7-1ubuntu2 libaudit1_1:2.7.7-1ubuntu2 libavahi-client3_0.7-3ubuntu2 libavahi-common-data_0.7-3ubuntu2 libavahi-common3_0.7-3ubuntu2 libbinutils_2.29.1-13ubuntu1 libblas3_3.7.1-4ubuntu1 libblkid1_2.30.2-0.1ubuntu1 libbsd0_0.8.7-1 libbz2-1.0_1.0.6-8.1 libc-bin_2.26-0ubuntu3 libc-dev-bin_2.26-0ubuntu3 libc6_2.26-0ubuntu3 libc6-dev_2.26-0ubuntu3 libcairo2_1.15.8-3 libcap-ng0_0.7.7-3.1 libcap2_1:2.25-1.2 libcc1-0_7.2.0-19ubuntu1 libcomerr2_1.43.8-2 libcroco3_0.6.12-2 libcryptsetup4_2:1.7.5-1ubuntu1 libcups2_2.2.6-4 libcurl3-gnutls_7.57.0-1ubuntu1 libdatrie1_0.2.10-6 libdb5.3_5.3.28-13.1 libdbus-1-3_1.12.2-1ubuntu1 libdebconfclient0_0.213ubuntu1 libdevmapper1.02.1_2:1.02.137-2ubuntu3 libdpkg-perl_1.19.0.4ubuntu1 libexpat1_2.2.5-3 libexpat1-dev_2.2.5-3 libfakeroot_1.22-2ubuntu1 libfdisk1_2.30.2-0.1ubuntu1 libffi6_3.2.1-8 libfile-stripnondeterminism-perl_0.040-1 libfontconfig1_2.12.6-0ubuntu1 libfreetype6_2.8.1-0.1ubuntu2 libgcc-7-dev_7.2.0-19ubuntu1 libgcc1_1:7.2.0-19ubuntu1 libgcrypt20_1.8.1-4 libgdbm3_1.8.3-14 libgdk-pixbuf2.0-0_2.36.11-1 libgdk-pixbuf2.0-common_2.36.11-1 libgfortran4_7.2.0-19ubuntu1 libglib2.0-0_2.54.1-1ubuntu1 libgmp10_2:6.1.2+dfsg-1.2 libgnutls30_3.5.8-6ubuntu3 libgomp1_7.2.0-19ubuntu1 libgpg-error0_1.27-5 libgraphite2-3_1.3.10-8 libgssapi-krb5-2_1.15.2-2 libgssapi3-heimdal_7.5.0+dfsg-1 libgtk2.0-0_2.24.31-4ubuntu1 libgtk2.0-common_2.24.31-4ubuntu1 libharfbuzz0b_1.7.2-1 libhcrypto4-heimdal_7.5.0+dfsg-1 libheimbase1-heimdal_7.5.0+dfsg-1 libheimntlm0-heimdal_7.5.0+dfsg-1 libhogweed4_3.4-1 libhx509-5-heimdal_7.5.0+dfsg-1 libicu-le-hb0_1.0.3+git161113-4 libicu60_60.2-1ubuntu1 libidn11_1.33-2.1 libidn2-0_2.0.4-1 libip4tc0_1.6.1-2ubuntu2 libisl15_0.18-1 libitm1_7.2.0-19ubuntu1 libjbig0_2.1-3.1 libjpeg-turbo8_1.5.2-0ubuntu5 libjpeg8_8c-2ubuntu8 libjs-jquery_3.2.1-1 libjs-jquery-ui_1.12.1+dfsg-5 libk5crypto3_1.15.2-2 libkeyutils1_1.5.9-9.2ubuntu1 libkmod2_24-1ubuntu2 libkrb5-26-heimdal_7.5.0+dfsg-1 libkrb5-3_1.15.2-2 libkrb5support0_1.15.2-2 libksba8_1.3.5-2 liblapack3_3.7.1-4ubuntu1 libldap-2.4-2_2.4.45+dfsg-1ubuntu1 libldap-common_2.4.45+dfsg-1ubuntu1 liblockfile-bin_1.14-1.1 liblockfile1_1.14-1.1 liblsan0_7.2.0-19ubuntu1 liblz4-1_0.0~r131-2ubuntu2 liblzma5_5.2.2-1.3 libmagic-mgc_1:5.32-1 libmagic1_1:5.32-1 libmount1_2.30.2-0.1ubuntu1 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librsvg2-common_2.40.20-2 librtmp1_2.4+20151223.gitfa8646d.1-1 libsasl2-2_2.1.27~101-g0780600+dfsg-3ubuntu1 libsasl2-modules-db_2.1.27~101-g0780600+dfsg-3ubuntu1 libseccomp2_2.3.1-2.1ubuntu3 libselinux1_2.7-2 libsemanage-common_2.7-2 libsemanage1_2.7-2 libsepol1_2.7-1 libsigsegv2_2.11-1 libslang2_2.3.1-5ubuntu1 libsmartcols1_2.30.2-0.1ubuntu1 libsqlite3-0_3.21.0-1 libss2_1.43.8-2 libssl1.0.0_1.0.2n-1ubuntu1 libstdc++-7-dev_7.2.0-19ubuntu1 libstdc++6_7.2.0-19ubuntu1 libsvm-dev_3.21+ds-1.1 libsvm3_3.21+ds-1.1 libsystemd0_235-3ubuntu3 libtasn1-6_4.12-3 libthai-data_0.1.27-1 libthai0_0.1.27-1 libtiff5_4.0.9-3 libtimedate-perl_2.3000-2 libtinfo5_6.0+20171125-1ubuntu1 libtool_2.4.6-2 libtsan0_7.2.0-19ubuntu1 libubsan0_7.2.0-19ubuntu1 libudev1_235-3ubuntu3 libunistring0_0.9.3-5.2ubuntu1 libusb-0.1-4_2:0.1.12-31 libustr-1.0-1_1.0.4-6 libuuid1_2.30.2-0.1ubuntu1 libwind0-heimdal_7.5.0+dfsg-1 libx11-6_2:1.6.4-3 libx11-data_2:1.6.4-3 libxau6_1:1.0.8-1 libxcb-render0_1.12-1ubuntu1 libxcb-shm0_1.12-1ubuntu1 libxcb1_1.12-1ubuntu1 libxcomposite1_1:0.4.4-2 libxcursor1_1:1.1.15-1 libxdamage1_1:1.1.4-3 libxdmcp6_1:1.1.2-3 libxext6_2:1.3.3-1 libxfixes3_1:5.0.3-1 libxi6_2:1.7.9-1 libxinerama1_2:1.1.3-1 libxml2_2.9.4+dfsg1-6.1ubuntu1 libxrandr2_2:1.5.1-1 libxrender1_1:0.9.10-1 linux-libc-dev_4.13.0-30.33 lockfile-progs_0.1.17build1 login_1:4.2-3.2ubuntu4 lsb-base_9.20170808ubuntu1 m4_1.4.18-1 make_4.1-9.1 man-db_2.7.6.1-4 mawk_1.3.3-17ubuntu2 mime-support_3.60ubuntu1 mount_2.30.2-0.1ubuntu1 multiarch-support_2.26-0ubuntu3 ncurses-base_6.0+20171125-1ubuntu1 ncurses-bin_6.0+20171125-1ubuntu1 openssl_1.0.2n-1ubuntu1 optipng_0.7.6-1.1 passwd_1:4.2-3.2ubuntu4 patch_2.7.5-1build1 perl_5.26.1-4 perl-base_5.26.1-4 perl-modules-5.26_5.26.1-4 pinentry-curses_1.0.0-3 pkgbinarymangler_131 po-debconf_1.0.20 policyrcd-script-zg2_0.1-3 procps_2:3.3.12-3ubuntu1 python_2.7.14-4 python-all_2.7.14-4 python-all-dev_2.7.14-4 python-cycler_0.10.0-1 python-dateutil_2.6.1-1 python-decorator_4.1.2-1 python-dev_2.7.14-4 python-functools32_3.2.3.2-3 python-joblib_0.11-1 python-matplotlib_2.0.0+dfsg1-2ubuntu3 python-matplotlib-data_2.0.0+dfsg1-2ubuntu3 python-minimal_2.7.14-4 python-nose_1.3.7-3 python-numpy_1:1.13.3-2ubuntu1 python-pkg-resources_38.2.4-2 python-py_1.4.34-3 python-pyparsing_2.1.10+dfsg1-1 python-pytest_3.2.1-2 python-scipy_0.19.1-1ubuntu1 python-setuptools_38.2.4-2 python-six_1.11.0-1 python-subprocess32_3.2.7-2 python-tz_2017.2-2 python2.7_2.7.14-4 python2.7-dev_2.7.14-4 python2.7-minimal_2.7.14-4 python3_3.6.4-1 python3-all_3.6.4-1 python3-all-dev_3.6.4-1 python3-cycler_0.10.0-1 python3-dateutil_2.6.1-1 python3-decorator_4.1.2-1 python3-dev_3.6.4-1 python3-distutils_3.6.4-2 python3-joblib_0.11-1 python3-lib2to3_3.6.4-2 python3-matplotlib_2.0.0+dfsg1-2ubuntu3 python3-minimal_3.6.4-1 python3-nose_1.3.7-3 python3-numpy_1:1.13.3-2ubuntu1 python3-pkg-resources_38.2.4-2 python3-py_1.4.34-3 python3-pyparsing_2.1.10+dfsg1-1 python3-pytest_3.2.1-2 python3-scipy_0.19.1-1ubuntu1 python3-setuptools_38.2.4-2 python3-six_1.11.0-1 python3-tz_2017.2-2 python3.6_3.6.4-3 python3.6-dev_3.6.4-3 python3.6-minimal_3.6.4-3 readline-common_7.0-0ubuntu2 sbuild-build-depends-core-dummy_0.invalid.0 sbuild-build-depends-scikit-learn-dummy_0.invalid.0 sed_4.4-1 sensible-utils_0.0.11 shared-mime-info_1.9-2 systemd_235-3ubuntu3 systemd-sysv_235-3ubuntu3 sysv-rc_2.88dsf-59.3ubuntu2 sysvinit-utils_2.88dsf-59.10ubuntu1 tar_1.29b-2 ttf-bitstream-vera_1.10-8 tzdata_2017c-1 ubuntu-keyring_2016.10.27 ubuntu-mono_16.10+18.04.20171224.1-0ubuntu1 ucf_3.0036 util-linux_2.30.2-0.1ubuntu1 xz-utils_5.2.2-1.3 zlib1g_1:1.2.11.dfsg-0ubuntu2 +------------------------------------------------------------------------------+ | Build | +------------------------------------------------------------------------------+ Unpack source ------------- gpgv: Signature made Thu Jan 4 20:00:05 2018 UTC gpgv: using RSA key C5B905F0E8D9FD9668FF366FA2DE235062DA33FA gpgv: Can't check signature: No public key dpkg-source: warning: failed to verify signature on ./scikit-learn_0.19.1-3.dsc dpkg-source: info: extracting scikit-learn in scikit-learn-0.19.1 dpkg-source: info: unpacking scikit-learn_0.19.1.orig.tar.gz dpkg-source: info: unpacking scikit-learn_0.19.1-3.debian.tar.xz dpkg-source: info: applying changeset_6c99d797d7c71d216503612a242bffb8d006582d.diff dpkg-source: info: applying deb_precisionloss dpkg-source: info: applying deb_no_joblib_compat dpkg-source: info: applying deb_no_tinyclues_external_image dpkg-source: info: applying deb_no_online_jquery dpkg-source: info: applying up_workaround_buggy_pil dpkg-source: info: applying deb_skip_some_tests_on_arm dpkg-source: info: applying deb_use_system_joblib dpkg-source: info: applying deb_no_google_analytics dpkg-source: info: applying deb_git_revision_cmd dpkg-source: info: applying deb_no_plot_gallery dpkg-source: info: applying deb_optional_linkcode dpkg-source: info: applying deb_nopaypal Check disc space ---------------- Sufficient free space for build User Environment ---------------- APT_CONFIG=/var/lib/sbuild/apt.conf DEB_BUILD_OPTIONS=parallel=4 HOME=/sbuild-nonexistent LANG=C.UTF-8 LC_ALL=C.UTF-8 LOGNAME=buildd PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games SCHROOT_ALIAS_NAME=build-PACKAGEBUILD-14218464 SCHROOT_CHROOT_NAME=build-PACKAGEBUILD-14218464 SCHROOT_COMMAND=env SCHROOT_GID=2501 SCHROOT_GROUP=buildd SCHROOT_SESSION_ID=build-PACKAGEBUILD-14218464 SCHROOT_UID=2001 SCHROOT_USER=buildd SHELL=/bin/sh TERM=unknown USER=buildd V=1 dpkg-buildpackage ----------------- dpkg-buildpackage: info: source package scikit-learn dpkg-buildpackage: info: source version 0.19.1-3 dpkg-buildpackage: info: source distribution unstable dpkg-source --before-build scikit-learn-0.19.1 dpkg-buildpackage: info: host architecture arm64 fakeroot debian/rules clean Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! : # Explicit build system to avoid use of all-in-1 Makefile dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh clean --buildsystem=python_distutils --with python2,python3,autoreconf dh_auto_clean -O--buildsystem=python_distutils python setup.py clean -a Partial import of sklearn during the build process. running clean 'build/lib.linux-aarch64-2.7' does not exist -- can't clean it 'build/bdist.linux-aarch64' does not exist -- can't clean it 'build/scripts-2.7' does not exist -- can't clean it Will remove generated .c files find . -name \*.pyc -exec rm {} \+ debian/rules override_dh_clean make[1]: Entering directory '/<>' Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! rm -rf build doc/_build doc/auto_examples *-stamp *.egg-info sklearn/datasets/__config__.py dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh_clean make[1]: Leaving directory '/<>' debian/rules build-arch Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! : # Explicit build system to avoid use of all-in-1 Makefile dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh build-arch --buildsystem=python_distutils --with python2,python3,autoreconf dh_update_autotools_config -a -O--buildsystem=python_distutils debian/rules override_dh_autoreconf make[1]: Entering directory '/<>' Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh_autoreconf debian/rules -- clean_generated dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! make[2]: Entering directory '/<>' Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! find sklearn/ -regex '.*\.c\(\|pp\)' | xargs grep -l -e 'Generated by Cython' | xargs -r rm -f dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! make[2]: Leaving directory '/<>' make[1]: Leaving directory '/<>' debian/rules override_dh_auto_configure make[1]: Entering directory '/<>' Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! echo "2" | grep -q '^3' && PY=3 || PY= ; \ CYTHONVER=$(dpkg -l cython$PY 2>/dev/null | awk '/^ii/{print $3;}' || echo 0); \ dpkg --compare-versions "$CYTHONVER" lt "0.24" && { \ echo "I: Using pre-Cython-ed files for Python 2"; \ touch PKG-INFO; \ cd debian/cythonized-files$PY/ ; \ find . -regex '.*\.c\(\|pp\)' | while read f; do cp $f ../../$f; done; } || : dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! echo "3" | grep -q '^3' && PY=3 || PY= ; \ CYTHONVER=$(dpkg -l cython$PY 2>/dev/null | awk '/^ii/{print $3;}' || echo 0); \ dpkg --compare-versions "$CYTHONVER" lt "0.24" && { \ echo "I: Using pre-Cython-ed files for Python 3"; \ touch PKG-INFO; \ cd debian/cythonized-files$PY/ ; \ find . -regex '.*\.c\(\|pp\)' | while read f; do cp $f ../../$f; done; } || : dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh_auto_configure dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! make[1]: Leaving directory '/<>' dh_auto_build -a -O--buildsystem=python_distutils python setup.py build --force Partial import of sklearn during the build process. blas_opt_info: blas_mkl_info: libraries mkl_rt not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE blis_info: libraries blis not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE openblas_info: libraries openblas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE atlas_3_10_blas_threads_info: Setting PTATLAS=ATLAS libraries tatlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu/atlas', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE atlas_3_10_blas_info: libraries satlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu/atlas', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE atlas_blas_threads_info: Setting PTATLAS=ATLAS libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu/atlas', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE atlas_blas_info: libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu/atlas', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE /usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:572: UserWarning: Atlas (http://math-atlas.sourceforge.net/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [atlas]) or by setting the ATLAS environment variable. self.calc_info() blas_info: libraries blas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE /usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:572: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. self.calc_info() blas_src_info: NOT AVAILABLE /usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:572: UserWarning: Blas (http://www.netlib.org/blas/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [blas_src]) or by setting the BLAS_SRC environment variable. self.calc_info() NOT AVAILABLE sklearn/setup.py:72: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. warnings.warn(BlasNotFoundError.__doc__) sklearn/manifold/_barnes_hut_tsne.pyx: cannot find cimported module 'sklearn.neighbors' Warning: Extension name 'sklearn.metrics/cluster.expected_mutual_info_fast' does not match fully qualified name 'sklearn.metrics.cluster.expected_mutual_info_fast' of 'sklearn/metrics/cluster/expected_mutual_info_fast.pyx' Compiling sklearn/__check_build/_check_build.pyx because it changed. Compiling sklearn/cluster/_dbscan_inner.pyx because it changed. Compiling sklearn/cluster/_hierarchical.pyx because it changed. Compiling sklearn/cluster/_k_means_elkan.pyx because it changed. Compiling sklearn/cluster/_k_means.pyx because it changed. Compiling sklearn/datasets/_svmlight_format.pyx because it changed. Compiling sklearn/decomposition/_online_lda.pyx because it changed. Compiling sklearn/decomposition/cdnmf_fast.pyx because it changed. Compiling sklearn/ensemble/_gradient_boosting.pyx because it changed. Compiling sklearn/feature_extraction/_hashing.pyx because it changed. Compiling sklearn/manifold/_utils.pyx because it changed. Compiling sklearn/manifold/_barnes_hut_tsne.pyx because it changed. Compiling sklearn/metrics/pairwise_fast.pyx because it changed. Compiling sklearn/metrics/cluster/expected_mutual_info_fast.pyx because it changed. Compiling sklearn/neighbors/ball_tree.pyx because it changed. Compiling sklearn/neighbors/kd_tree.pyx because it changed. Compiling sklearn/neighbors/dist_metrics.pyx because it changed. Compiling sklearn/neighbors/typedefs.pyx because it changed. Compiling sklearn/neighbors/quad_tree.pyx because it changed. Compiling sklearn/tree/_tree.pyx because it changed. Compiling sklearn/tree/_splitter.pyx because it changed. Compiling sklearn/tree/_criterion.pyx because it changed. Compiling sklearn/tree/_utils.pyx because it changed. Compiling sklearn/svm/libsvm.pyx because it changed. Compiling sklearn/svm/liblinear.pyx because it changed. Compiling sklearn/svm/libsvm_sparse.pyx because it changed. Compiling sklearn/_isotonic.pyx because it changed. Compiling sklearn/linear_model/cd_fast.pyx because it changed. Compiling sklearn/linear_model/sgd_fast.pyx because it changed. Compiling sklearn/linear_model/sag_fast.pyx because it changed. Compiling sklearn/utils/sparsefuncs_fast.pyx because it changed. Compiling sklearn/utils/arrayfuncs.pyx because it changed. Compiling sklearn/utils/murmurhash.pyx because it changed. Compiling sklearn/utils/lgamma.pyx because it changed. Compiling sklearn/utils/graph_shortest_path.pyx because it changed. Compiling sklearn/utils/fast_dict.pyx because it changed. Compiling sklearn/utils/seq_dataset.pyx because it changed. Compiling sklearn/utils/weight_vector.pyx because it changed. Compiling sklearn/utils/_random.pyx because it changed. Compiling sklearn/utils/_logistic_sigmoid.pyx because it changed. [ 1/40] Cythonizing sklearn/__check_build/_check_build.pyx [ 2/40] Cythonizing sklearn/_isotonic.pyx [ 3/40] Cythonizing sklearn/cluster/_dbscan_inner.pyx [ 4/40] Cythonizing sklearn/cluster/_hierarchical.pyx [ 5/40] Cythonizing sklearn/cluster/_k_means.pyx [ 6/40] Cythonizing sklearn/cluster/_k_means_elkan.pyx [ 7/40] Cythonizing sklearn/datasets/_svmlight_format.pyx [ 8/40] Cythonizing sklearn/decomposition/_online_lda.pyx [ 9/40] Cythonizing sklearn/decomposition/cdnmf_fast.pyx [10/40] Cythonizing sklearn/ensemble/_gradient_boosting.pyx [11/40] Cythonizing sklearn/feature_extraction/_hashing.pyx [12/40] Cythonizing sklearn/linear_model/cd_fast.pyx [13/40] Cythonizing sklearn/linear_model/sag_fast.pyx [14/40] Cythonizing sklearn/linear_model/sgd_fast.pyx [15/40] Cythonizing sklearn/manifold/_barnes_hut_tsne.pyx [16/40] Cythonizing sklearn/manifold/_utils.pyx [17/40] Cythonizing sklearn/metrics/cluster/expected_mutual_info_fast.pyx [18/40] Cythonizing sklearn/metrics/pairwise_fast.pyx [19/40] Cythonizing sklearn/neighbors/ball_tree.pyx [20/40] Cythonizing sklearn/neighbors/dist_metrics.pyx [21/40] Cythonizing sklearn/neighbors/kd_tree.pyx [22/40] Cythonizing sklearn/neighbors/quad_tree.pyx [23/40] Cythonizing sklearn/neighbors/typedefs.pyx [24/40] Cythonizing sklearn/svm/liblinear.pyx [25/40] Cythonizing sklearn/svm/libsvm.pyx [26/40] Cythonizing sklearn/svm/libsvm_sparse.pyx [27/40] Cythonizing sklearn/tree/_criterion.pyx [28/40] Cythonizing sklearn/tree/_splitter.pyx [29/40] Cythonizing sklearn/tree/_tree.pyx [30/40] Cythonizing sklearn/tree/_utils.pyx [31/40] Cythonizing sklearn/utils/_logistic_sigmoid.pyx [32/40] Cythonizing sklearn/utils/_random.pyx [33/40] Cythonizing sklearn/utils/arrayfuncs.pyx [34/40] Cythonizing sklearn/utils/fast_dict.pyx [35/40] Cythonizing sklearn/utils/graph_shortest_path.pyx [36/40] Cythonizing sklearn/utils/lgamma.pyx [37/40] Cythonizing sklearn/utils/murmurhash.pyx [38/40] Cythonizing sklearn/utils/seq_dataset.pyx [39/40] Cythonizing sklearn/utils/sparsefuncs_fast.pyx [40/40] Cythonizing sklearn/utils/weight_vector.pyx running build running config_cc unifing config_cc, config, build_clib, build_ext, build commands --compiler options running config_fc unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options running build_src build_src building library "libsvm-skl" sources building library "cblas" sources building extension "sklearn.__check_build._check_build" sources building extension "sklearn.cluster._dbscan_inner" sources building extension "sklearn.cluster._hierarchical" sources building extension "sklearn.cluster._k_means_elkan" sources building extension "sklearn.cluster._k_means" sources building extension "sklearn.datasets._svmlight_format" sources building extension "sklearn.decomposition._online_lda" sources building extension "sklearn.decomposition.cdnmf_fast" sources building extension "sklearn.ensemble._gradient_boosting" sources building extension "sklearn.feature_extraction._hashing" sources building extension "sklearn.manifold._utils" sources building extension "sklearn.manifold._barnes_hut_tsne" sources building extension "sklearn.metrics.pairwise_fast" sources building extension "sklearn.metrics/cluster.expected_mutual_info_fast" sources building extension "sklearn.neighbors.ball_tree" sources building extension "sklearn.neighbors.kd_tree" sources building extension "sklearn.neighbors.dist_metrics" sources building extension "sklearn.neighbors.typedefs" sources building extension "sklearn.neighbors.quad_tree" sources building extension "sklearn.tree._tree" sources building extension "sklearn.tree._splitter" sources building extension "sklearn.tree._criterion" sources building extension "sklearn.tree._utils" sources building extension "sklearn.svm.libsvm" sources building extension "sklearn.svm.liblinear" sources building extension "sklearn.svm.libsvm_sparse" sources building extension "sklearn._isotonic" sources building extension "sklearn.linear_model.cd_fast" sources building extension "sklearn.linear_model.sgd_fast" sources building extension "sklearn.linear_model.sag_fast" sources building extension "sklearn.utils.sparsefuncs_fast" sources building extension "sklearn.utils.arrayfuncs" sources building extension "sklearn.utils.murmurhash" sources building extension "sklearn.utils.lgamma" sources building extension "sklearn.utils.graph_shortest_path" sources building extension "sklearn.utils.fast_dict" sources building extension "sklearn.utils.seq_dataset" sources building extension "sklearn.utils.weight_vector" sources building extension "sklearn.utils._random" sources building extension "sklearn.utils._logistic_sigmoid" sources building data_files sources build_src: building npy-pkg config files running build_py creating build creating build/lib.linux-aarch64-2.7 creating build/lib.linux-aarch64-2.7/sklearn copying sklearn/isotonic.py -> build/lib.linux-aarch64-2.7/sklearn copying sklearn/__init__.py -> build/lib.linux-aarch64-2.7/sklearn copying sklearn/pipeline.py -> build/lib.linux-aarch64-2.7/sklearn copying sklearn/random_projection.py -> build/lib.linux-aarch64-2.7/sklearn copying sklearn/cross_validation.py -> build/lib.linux-aarch64-2.7/sklearn copying sklearn/base.py -> build/lib.linux-aarch64-2.7/sklearn copying sklearn/multioutput.py -> build/lib.linux-aarch64-2.7/sklearn copying sklearn/calibration.py -> build/lib.linux-aarch64-2.7/sklearn copying sklearn/naive_bayes.py -> build/lib.linux-aarch64-2.7/sklearn copying sklearn/learning_curve.py -> build/lib.linux-aarch64-2.7/sklearn copying sklearn/kernel_ridge.py -> build/lib.linux-aarch64-2.7/sklearn copying sklearn/dummy.py -> build/lib.linux-aarch64-2.7/sklearn copying sklearn/discriminant_analysis.py -> build/lib.linux-aarch64-2.7/sklearn copying sklearn/grid_search.py -> build/lib.linux-aarch64-2.7/sklearn copying sklearn/kernel_approximation.py -> build/lib.linux-aarch64-2.7/sklearn copying sklearn/setup.py -> build/lib.linux-aarch64-2.7/sklearn copying sklearn/multiclass.py -> build/lib.linux-aarch64-2.7/sklearn copying sklearn/exceptions.py -> build/lib.linux-aarch64-2.7/sklearn creating build/lib.linux-aarch64-2.7/sklearn/__check_build copying sklearn/__check_build/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/__check_build copying sklearn/__check_build/setup.py -> build/lib.linux-aarch64-2.7/sklearn/__check_build creating build/lib.linux-aarch64-2.7/sklearn/_build_utils copying sklearn/_build_utils/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/_build_utils creating build/lib.linux-aarch64-2.7/sklearn/covariance copying sklearn/covariance/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/covariance copying sklearn/covariance/robust_covariance.py -> build/lib.linux-aarch64-2.7/sklearn/covariance copying sklearn/covariance/shrunk_covariance_.py -> build/lib.linux-aarch64-2.7/sklearn/covariance copying sklearn/covariance/outlier_detection.py -> build/lib.linux-aarch64-2.7/sklearn/covariance copying sklearn/covariance/empirical_covariance_.py -> build/lib.linux-aarch64-2.7/sklearn/covariance copying sklearn/covariance/graph_lasso_.py -> build/lib.linux-aarch64-2.7/sklearn/covariance creating build/lib.linux-aarch64-2.7/sklearn/covariance/tests copying sklearn/covariance/tests/test_graph_lasso.py -> build/lib.linux-aarch64-2.7/sklearn/covariance/tests copying sklearn/covariance/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/covariance/tests copying sklearn/covariance/tests/test_robust_covariance.py -> build/lib.linux-aarch64-2.7/sklearn/covariance/tests copying sklearn/covariance/tests/test_covariance.py -> build/lib.linux-aarch64-2.7/sklearn/covariance/tests creating build/lib.linux-aarch64-2.7/sklearn/cross_decomposition copying sklearn/cross_decomposition/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/cross_decomposition copying sklearn/cross_decomposition/pls_.py -> build/lib.linux-aarch64-2.7/sklearn/cross_decomposition copying sklearn/cross_decomposition/cca_.py -> build/lib.linux-aarch64-2.7/sklearn/cross_decomposition creating build/lib.linux-aarch64-2.7/sklearn/cross_decomposition/tests copying sklearn/cross_decomposition/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/cross_decomposition/tests copying sklearn/cross_decomposition/tests/test_pls.py -> build/lib.linux-aarch64-2.7/sklearn/cross_decomposition/tests creating build/lib.linux-aarch64-2.7/sklearn/feature_selection copying sklearn/feature_selection/univariate_selection.py -> build/lib.linux-aarch64-2.7/sklearn/feature_selection copying sklearn/feature_selection/mutual_info_.py -> build/lib.linux-aarch64-2.7/sklearn/feature_selection copying sklearn/feature_selection/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/feature_selection copying sklearn/feature_selection/variance_threshold.py -> build/lib.linux-aarch64-2.7/sklearn/feature_selection copying sklearn/feature_selection/from_model.py -> build/lib.linux-aarch64-2.7/sklearn/feature_selection copying sklearn/feature_selection/base.py -> build/lib.linux-aarch64-2.7/sklearn/feature_selection copying sklearn/feature_selection/rfe.py -> build/lib.linux-aarch64-2.7/sklearn/feature_selection creating build/lib.linux-aarch64-2.7/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_rfe.py -> build/lib.linux-aarch64-2.7/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_feature_select.py -> build/lib.linux-aarch64-2.7/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_chi2.py -> build/lib.linux-aarch64-2.7/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_from_model.py -> build/lib.linux-aarch64-2.7/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_base.py -> build/lib.linux-aarch64-2.7/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_variance_threshold.py -> build/lib.linux-aarch64-2.7/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_mutual_info.py -> build/lib.linux-aarch64-2.7/sklearn/feature_selection/tests creating build/lib.linux-aarch64-2.7/sklearn/gaussian_process copying sklearn/gaussian_process/kernels.py -> build/lib.linux-aarch64-2.7/sklearn/gaussian_process copying sklearn/gaussian_process/correlation_models.py -> build/lib.linux-aarch64-2.7/sklearn/gaussian_process copying sklearn/gaussian_process/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/gaussian_process copying sklearn/gaussian_process/regression_models.py -> build/lib.linux-aarch64-2.7/sklearn/gaussian_process copying sklearn/gaussian_process/gaussian_process.py -> build/lib.linux-aarch64-2.7/sklearn/gaussian_process copying sklearn/gaussian_process/gpc.py -> build/lib.linux-aarch64-2.7/sklearn/gaussian_process copying sklearn/gaussian_process/gpr.py -> build/lib.linux-aarch64-2.7/sklearn/gaussian_process creating build/lib.linux-aarch64-2.7/sklearn/gaussian_process/tests copying sklearn/gaussian_process/tests/test_gpr.py -> build/lib.linux-aarch64-2.7/sklearn/gaussian_process/tests copying sklearn/gaussian_process/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/gaussian_process/tests copying sklearn/gaussian_process/tests/test_gaussian_process.py -> build/lib.linux-aarch64-2.7/sklearn/gaussian_process/tests copying sklearn/gaussian_process/tests/test_gpc.py -> build/lib.linux-aarch64-2.7/sklearn/gaussian_process/tests copying sklearn/gaussian_process/tests/test_kernels.py -> build/lib.linux-aarch64-2.7/sklearn/gaussian_process/tests creating build/lib.linux-aarch64-2.7/sklearn/mixture copying sklearn/mixture/dpgmm.py -> build/lib.linux-aarch64-2.7/sklearn/mixture copying sklearn/mixture/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/mixture copying sklearn/mixture/base.py -> build/lib.linux-aarch64-2.7/sklearn/mixture copying sklearn/mixture/gmm.py -> build/lib.linux-aarch64-2.7/sklearn/mixture copying sklearn/mixture/bayesian_mixture.py -> build/lib.linux-aarch64-2.7/sklearn/mixture copying sklearn/mixture/gaussian_mixture.py -> build/lib.linux-aarch64-2.7/sklearn/mixture creating build/lib.linux-aarch64-2.7/sklearn/mixture/tests copying sklearn/mixture/tests/test_gmm.py -> build/lib.linux-aarch64-2.7/sklearn/mixture/tests copying sklearn/mixture/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/mixture/tests copying sklearn/mixture/tests/test_dpgmm.py -> build/lib.linux-aarch64-2.7/sklearn/mixture/tests copying sklearn/mixture/tests/test_gaussian_mixture.py -> build/lib.linux-aarch64-2.7/sklearn/mixture/tests copying sklearn/mixture/tests/test_bayesian_mixture.py -> build/lib.linux-aarch64-2.7/sklearn/mixture/tests creating build/lib.linux-aarch64-2.7/sklearn/model_selection copying sklearn/model_selection/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/model_selection copying sklearn/model_selection/_split.py -> build/lib.linux-aarch64-2.7/sklearn/model_selection copying sklearn/model_selection/_validation.py -> build/lib.linux-aarch64-2.7/sklearn/model_selection copying sklearn/model_selection/_search.py -> build/lib.linux-aarch64-2.7/sklearn/model_selection creating build/lib.linux-aarch64-2.7/sklearn/model_selection/tests copying sklearn/model_selection/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/model_selection/tests copying sklearn/model_selection/tests/common.py -> build/lib.linux-aarch64-2.7/sklearn/model_selection/tests copying sklearn/model_selection/tests/test_search.py -> build/lib.linux-aarch64-2.7/sklearn/model_selection/tests copying sklearn/model_selection/tests/test_validation.py -> build/lib.linux-aarch64-2.7/sklearn/model_selection/tests copying sklearn/model_selection/tests/test_split.py -> build/lib.linux-aarch64-2.7/sklearn/model_selection/tests creating build/lib.linux-aarch64-2.7/sklearn/neural_network copying sklearn/neural_network/multilayer_perceptron.py -> build/lib.linux-aarch64-2.7/sklearn/neural_network copying sklearn/neural_network/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/neural_network copying sklearn/neural_network/_base.py -> build/lib.linux-aarch64-2.7/sklearn/neural_network copying sklearn/neural_network/_stochastic_optimizers.py -> build/lib.linux-aarch64-2.7/sklearn/neural_network copying sklearn/neural_network/rbm.py -> build/lib.linux-aarch64-2.7/sklearn/neural_network creating build/lib.linux-aarch64-2.7/sklearn/neural_network/tests copying sklearn/neural_network/tests/test_rbm.py -> build/lib.linux-aarch64-2.7/sklearn/neural_network/tests copying sklearn/neural_network/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/neural_network/tests copying sklearn/neural_network/tests/test_stochastic_optimizers.py -> build/lib.linux-aarch64-2.7/sklearn/neural_network/tests copying sklearn/neural_network/tests/test_mlp.py -> build/lib.linux-aarch64-2.7/sklearn/neural_network/tests creating build/lib.linux-aarch64-2.7/sklearn/preprocessing copying sklearn/preprocessing/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/preprocessing copying sklearn/preprocessing/label.py -> build/lib.linux-aarch64-2.7/sklearn/preprocessing copying sklearn/preprocessing/_function_transformer.py -> build/lib.linux-aarch64-2.7/sklearn/preprocessing copying sklearn/preprocessing/imputation.py -> build/lib.linux-aarch64-2.7/sklearn/preprocessing copying sklearn/preprocessing/data.py -> build/lib.linux-aarch64-2.7/sklearn/preprocessing creating build/lib.linux-aarch64-2.7/sklearn/preprocessing/tests copying sklearn/preprocessing/tests/test_function_transformer.py -> build/lib.linux-aarch64-2.7/sklearn/preprocessing/tests copying sklearn/preprocessing/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/preprocessing/tests copying sklearn/preprocessing/tests/test_imputation.py -> build/lib.linux-aarch64-2.7/sklearn/preprocessing/tests copying sklearn/preprocessing/tests/test_label.py -> build/lib.linux-aarch64-2.7/sklearn/preprocessing/tests copying sklearn/preprocessing/tests/test_data.py -> build/lib.linux-aarch64-2.7/sklearn/preprocessing/tests creating build/lib.linux-aarch64-2.7/sklearn/semi_supervised copying sklearn/semi_supervised/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/semi_supervised copying sklearn/semi_supervised/label_propagation.py -> build/lib.linux-aarch64-2.7/sklearn/semi_supervised creating build/lib.linux-aarch64-2.7/sklearn/semi_supervised/tests copying sklearn/semi_supervised/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/semi_supervised/tests copying sklearn/semi_supervised/tests/test_label_propagation.py -> build/lib.linux-aarch64-2.7/sklearn/semi_supervised/tests creating build/lib.linux-aarch64-2.7/sklearn/cluster copying sklearn/cluster/dbscan_.py -> build/lib.linux-aarch64-2.7/sklearn/cluster copying sklearn/cluster/birch.py -> build/lib.linux-aarch64-2.7/sklearn/cluster copying sklearn/cluster/mean_shift_.py -> build/lib.linux-aarch64-2.7/sklearn/cluster copying sklearn/cluster/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/cluster copying sklearn/cluster/_feature_agglomeration.py -> build/lib.linux-aarch64-2.7/sklearn/cluster copying sklearn/cluster/hierarchical.py -> build/lib.linux-aarch64-2.7/sklearn/cluster copying sklearn/cluster/spectral.py -> build/lib.linux-aarch64-2.7/sklearn/cluster copying sklearn/cluster/k_means_.py -> build/lib.linux-aarch64-2.7/sklearn/cluster copying sklearn/cluster/setup.py -> build/lib.linux-aarch64-2.7/sklearn/cluster copying sklearn/cluster/bicluster.py -> build/lib.linux-aarch64-2.7/sklearn/cluster copying sklearn/cluster/affinity_propagation_.py -> build/lib.linux-aarch64-2.7/sklearn/cluster creating build/lib.linux-aarch64-2.7/sklearn/cluster/tests copying sklearn/cluster/tests/test_dbscan.py -> build/lib.linux-aarch64-2.7/sklearn/cluster/tests copying sklearn/cluster/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/cluster/tests copying sklearn/cluster/tests/common.py -> build/lib.linux-aarch64-2.7/sklearn/cluster/tests copying sklearn/cluster/tests/test_bicluster.py -> build/lib.linux-aarch64-2.7/sklearn/cluster/tests copying sklearn/cluster/tests/test_spectral.py -> build/lib.linux-aarch64-2.7/sklearn/cluster/tests copying sklearn/cluster/tests/test_k_means.py -> build/lib.linux-aarch64-2.7/sklearn/cluster/tests copying sklearn/cluster/tests/test_mean_shift.py -> build/lib.linux-aarch64-2.7/sklearn/cluster/tests copying sklearn/cluster/tests/test_affinity_propagation.py -> build/lib.linux-aarch64-2.7/sklearn/cluster/tests copying sklearn/cluster/tests/test_birch.py -> build/lib.linux-aarch64-2.7/sklearn/cluster/tests copying sklearn/cluster/tests/test_hierarchical.py -> build/lib.linux-aarch64-2.7/sklearn/cluster/tests creating build/lib.linux-aarch64-2.7/sklearn/datasets copying sklearn/datasets/svmlight_format.py -> build/lib.linux-aarch64-2.7/sklearn/datasets copying sklearn/datasets/olivetti_faces.py -> build/lib.linux-aarch64-2.7/sklearn/datasets copying sklearn/datasets/lfw.py -> build/lib.linux-aarch64-2.7/sklearn/datasets copying sklearn/datasets/kddcup99.py -> build/lib.linux-aarch64-2.7/sklearn/datasets copying sklearn/datasets/mlcomp.py -> build/lib.linux-aarch64-2.7/sklearn/datasets copying sklearn/datasets/california_housing.py -> build/lib.linux-aarch64-2.7/sklearn/datasets copying sklearn/datasets/species_distributions.py -> build/lib.linux-aarch64-2.7/sklearn/datasets copying sklearn/datasets/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/datasets copying sklearn/datasets/base.py -> build/lib.linux-aarch64-2.7/sklearn/datasets copying sklearn/datasets/twenty_newsgroups.py -> build/lib.linux-aarch64-2.7/sklearn/datasets copying sklearn/datasets/covtype.py -> build/lib.linux-aarch64-2.7/sklearn/datasets copying sklearn/datasets/rcv1.py -> build/lib.linux-aarch64-2.7/sklearn/datasets copying sklearn/datasets/mldata.py -> build/lib.linux-aarch64-2.7/sklearn/datasets copying sklearn/datasets/samples_generator.py -> build/lib.linux-aarch64-2.7/sklearn/datasets copying sklearn/datasets/setup.py -> build/lib.linux-aarch64-2.7/sklearn/datasets creating build/lib.linux-aarch64-2.7/sklearn/datasets/tests copying sklearn/datasets/tests/test_samples_generator.py -> build/lib.linux-aarch64-2.7/sklearn/datasets/tests copying sklearn/datasets/tests/test_lfw.py -> build/lib.linux-aarch64-2.7/sklearn/datasets/tests copying sklearn/datasets/tests/test_covtype.py -> build/lib.linux-aarch64-2.7/sklearn/datasets/tests copying sklearn/datasets/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/datasets/tests copying sklearn/datasets/tests/test_mldata.py -> build/lib.linux-aarch64-2.7/sklearn/datasets/tests copying sklearn/datasets/tests/test_svmlight_format.py -> build/lib.linux-aarch64-2.7/sklearn/datasets/tests copying sklearn/datasets/tests/test_base.py -> build/lib.linux-aarch64-2.7/sklearn/datasets/tests copying sklearn/datasets/tests/test_20news.py -> build/lib.linux-aarch64-2.7/sklearn/datasets/tests copying sklearn/datasets/tests/test_rcv1.py -> build/lib.linux-aarch64-2.7/sklearn/datasets/tests copying sklearn/datasets/tests/test_kddcup99.py -> build/lib.linux-aarch64-2.7/sklearn/datasets/tests creating build/lib.linux-aarch64-2.7/sklearn/decomposition copying sklearn/decomposition/pca.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition copying sklearn/decomposition/dict_learning.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition copying sklearn/decomposition/factor_analysis.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition copying sklearn/decomposition/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition copying sklearn/decomposition/truncated_svd.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition copying sklearn/decomposition/base.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition copying sklearn/decomposition/fastica_.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition copying sklearn/decomposition/sparse_pca.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition copying sklearn/decomposition/online_lda.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition copying sklearn/decomposition/incremental_pca.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition copying sklearn/decomposition/nmf.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition copying sklearn/decomposition/kernel_pca.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition copying sklearn/decomposition/setup.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition creating build/lib.linux-aarch64-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_fastica.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_kernel_pca.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_dict_learning.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_sparse_pca.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_truncated_svd.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_nmf.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_online_lda.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_pca.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_incremental_pca.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_factor_analysis.py -> build/lib.linux-aarch64-2.7/sklearn/decomposition/tests creating build/lib.linux-aarch64-2.7/sklearn/ensemble copying sklearn/ensemble/gradient_boosting.py -> build/lib.linux-aarch64-2.7/sklearn/ensemble copying sklearn/ensemble/iforest.py -> build/lib.linux-aarch64-2.7/sklearn/ensemble copying sklearn/ensemble/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/ensemble copying sklearn/ensemble/bagging.py -> build/lib.linux-aarch64-2.7/sklearn/ensemble copying sklearn/ensemble/base.py -> build/lib.linux-aarch64-2.7/sklearn/ensemble copying sklearn/ensemble/partial_dependence.py -> build/lib.linux-aarch64-2.7/sklearn/ensemble copying sklearn/ensemble/forest.py -> build/lib.linux-aarch64-2.7/sklearn/ensemble copying sklearn/ensemble/weight_boosting.py -> build/lib.linux-aarch64-2.7/sklearn/ensemble copying sklearn/ensemble/voting_classifier.py -> build/lib.linux-aarch64-2.7/sklearn/ensemble copying sklearn/ensemble/setup.py -> build/lib.linux-aarch64-2.7/sklearn/ensemble creating build/lib.linux-aarch64-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_forest.py -> build/lib.linux-aarch64-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_partial_dependence.py -> build/lib.linux-aarch64-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_iforest.py -> build/lib.linux-aarch64-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_bagging.py -> build/lib.linux-aarch64-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_weight_boosting.py -> build/lib.linux-aarch64-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_gradient_boosting.py -> build/lib.linux-aarch64-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> build/lib.linux-aarch64-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_voting_classifier.py -> build/lib.linux-aarch64-2.7/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_base.py -> build/lib.linux-aarch64-2.7/sklearn/ensemble/tests creating build/lib.linux-aarch64-2.7/sklearn/externals copying sklearn/externals/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/externals copying sklearn/externals/funcsigs.py -> build/lib.linux-aarch64-2.7/sklearn/externals copying sklearn/externals/test_externals_setup.py -> build/lib.linux-aarch64-2.7/sklearn/externals copying sklearn/externals/six.py -> build/lib.linux-aarch64-2.7/sklearn/externals copying sklearn/externals/setup.py -> build/lib.linux-aarch64-2.7/sklearn/externals creating build/lib.linux-aarch64-2.7/sklearn/externals/joblib copying sklearn/externals/joblib/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/externals/joblib creating build/lib.linux-aarch64-2.7/sklearn/feature_extraction copying sklearn/feature_extraction/hashing.py -> build/lib.linux-aarch64-2.7/sklearn/feature_extraction copying sklearn/feature_extraction/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/feature_extraction copying sklearn/feature_extraction/image.py -> build/lib.linux-aarch64-2.7/sklearn/feature_extraction copying sklearn/feature_extraction/dict_vectorizer.py -> build/lib.linux-aarch64-2.7/sklearn/feature_extraction copying sklearn/feature_extraction/stop_words.py -> build/lib.linux-aarch64-2.7/sklearn/feature_extraction copying sklearn/feature_extraction/setup.py -> build/lib.linux-aarch64-2.7/sklearn/feature_extraction copying sklearn/feature_extraction/text.py -> build/lib.linux-aarch64-2.7/sklearn/feature_extraction creating build/lib.linux-aarch64-2.7/sklearn/feature_extraction/tests copying sklearn/feature_extraction/tests/test_dict_vectorizer.py -> build/lib.linux-aarch64-2.7/sklearn/feature_extraction/tests copying sklearn/feature_extraction/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/feature_extraction/tests copying sklearn/feature_extraction/tests/test_text.py -> build/lib.linux-aarch64-2.7/sklearn/feature_extraction/tests copying sklearn/feature_extraction/tests/test_feature_hasher.py -> build/lib.linux-aarch64-2.7/sklearn/feature_extraction/tests copying sklearn/feature_extraction/tests/test_image.py -> build/lib.linux-aarch64-2.7/sklearn/feature_extraction/tests creating build/lib.linux-aarch64-2.7/sklearn/manifold copying sklearn/manifold/mds.py -> build/lib.linux-aarch64-2.7/sklearn/manifold copying sklearn/manifold/t_sne.py -> build/lib.linux-aarch64-2.7/sklearn/manifold copying sklearn/manifold/spectral_embedding_.py -> build/lib.linux-aarch64-2.7/sklearn/manifold copying sklearn/manifold/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/manifold copying sklearn/manifold/locally_linear.py -> build/lib.linux-aarch64-2.7/sklearn/manifold copying sklearn/manifold/isomap.py -> build/lib.linux-aarch64-2.7/sklearn/manifold copying sklearn/manifold/setup.py -> build/lib.linux-aarch64-2.7/sklearn/manifold creating build/lib.linux-aarch64-2.7/sklearn/manifold/tests copying sklearn/manifold/tests/test_mds.py -> build/lib.linux-aarch64-2.7/sklearn/manifold/tests copying sklearn/manifold/tests/test_spectral_embedding.py -> build/lib.linux-aarch64-2.7/sklearn/manifold/tests copying sklearn/manifold/tests/test_t_sne.py -> build/lib.linux-aarch64-2.7/sklearn/manifold/tests copying sklearn/manifold/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/manifold/tests copying sklearn/manifold/tests/test_isomap.py -> build/lib.linux-aarch64-2.7/sklearn/manifold/tests copying sklearn/manifold/tests/test_locally_linear.py -> build/lib.linux-aarch64-2.7/sklearn/manifold/tests creating build/lib.linux-aarch64-2.7/sklearn/metrics copying sklearn/metrics/classification.py -> build/lib.linux-aarch64-2.7/sklearn/metrics copying sklearn/metrics/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/metrics copying sklearn/metrics/base.py -> build/lib.linux-aarch64-2.7/sklearn/metrics copying sklearn/metrics/ranking.py -> build/lib.linux-aarch64-2.7/sklearn/metrics copying sklearn/metrics/regression.py -> build/lib.linux-aarch64-2.7/sklearn/metrics copying sklearn/metrics/pairwise.py -> build/lib.linux-aarch64-2.7/sklearn/metrics copying sklearn/metrics/scorer.py -> build/lib.linux-aarch64-2.7/sklearn/metrics copying sklearn/metrics/setup.py -> build/lib.linux-aarch64-2.7/sklearn/metrics creating build/lib.linux-aarch64-2.7/sklearn/metrics/tests copying sklearn/metrics/tests/test_pairwise.py -> build/lib.linux-aarch64-2.7/sklearn/metrics/tests copying sklearn/metrics/tests/test_regression.py -> build/lib.linux-aarch64-2.7/sklearn/metrics/tests copying sklearn/metrics/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/metrics/tests copying sklearn/metrics/tests/test_classification.py -> build/lib.linux-aarch64-2.7/sklearn/metrics/tests copying sklearn/metrics/tests/test_ranking.py -> build/lib.linux-aarch64-2.7/sklearn/metrics/tests copying sklearn/metrics/tests/test_score_objects.py -> build/lib.linux-aarch64-2.7/sklearn/metrics/tests copying sklearn/metrics/tests/test_common.py -> build/lib.linux-aarch64-2.7/sklearn/metrics/tests creating build/lib.linux-aarch64-2.7/sklearn/metrics/cluster copying sklearn/metrics/cluster/unsupervised.py -> build/lib.linux-aarch64-2.7/sklearn/metrics/cluster copying sklearn/metrics/cluster/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/metrics/cluster copying sklearn/metrics/cluster/supervised.py -> build/lib.linux-aarch64-2.7/sklearn/metrics/cluster copying sklearn/metrics/cluster/setup.py -> build/lib.linux-aarch64-2.7/sklearn/metrics/cluster copying sklearn/metrics/cluster/bicluster.py -> build/lib.linux-aarch64-2.7/sklearn/metrics/cluster creating build/lib.linux-aarch64-2.7/sklearn/metrics/cluster/tests copying sklearn/metrics/cluster/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/metrics/cluster/tests copying sklearn/metrics/cluster/tests/test_bicluster.py -> build/lib.linux-aarch64-2.7/sklearn/metrics/cluster/tests copying sklearn/metrics/cluster/tests/test_unsupervised.py -> build/lib.linux-aarch64-2.7/sklearn/metrics/cluster/tests copying sklearn/metrics/cluster/tests/test_supervised.py -> build/lib.linux-aarch64-2.7/sklearn/metrics/cluster/tests creating build/lib.linux-aarch64-2.7/sklearn/neighbors copying sklearn/neighbors/classification.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors copying sklearn/neighbors/unsupervised.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors copying sklearn/neighbors/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors copying sklearn/neighbors/approximate.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors copying sklearn/neighbors/base.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors copying sklearn/neighbors/nearest_centroid.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors copying sklearn/neighbors/graph.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors copying sklearn/neighbors/kde.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors copying sklearn/neighbors/regression.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors copying sklearn/neighbors/lof.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors copying sklearn/neighbors/setup.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors creating build/lib.linux-aarch64-2.7/sklearn/neighbors/tests copying sklearn/neighbors/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors/tests copying sklearn/neighbors/tests/test_neighbors.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors/tests copying sklearn/neighbors/tests/test_kde.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors/tests copying sklearn/neighbors/tests/test_kd_tree.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors/tests copying sklearn/neighbors/tests/test_nearest_centroid.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors/tests copying sklearn/neighbors/tests/test_dist_metrics.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors/tests copying sklearn/neighbors/tests/test_quad_tree.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors/tests copying sklearn/neighbors/tests/test_approximate.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors/tests copying sklearn/neighbors/tests/test_lof.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors/tests copying sklearn/neighbors/tests/test_ball_tree.py -> build/lib.linux-aarch64-2.7/sklearn/neighbors/tests creating build/lib.linux-aarch64-2.7/sklearn/tree copying sklearn/tree/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/tree copying sklearn/tree/export.py -> build/lib.linux-aarch64-2.7/sklearn/tree copying sklearn/tree/tree.py -> build/lib.linux-aarch64-2.7/sklearn/tree copying sklearn/tree/setup.py -> build/lib.linux-aarch64-2.7/sklearn/tree creating build/lib.linux-aarch64-2.7/sklearn/tree/tests copying sklearn/tree/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/tree/tests copying sklearn/tree/tests/test_tree.py -> build/lib.linux-aarch64-2.7/sklearn/tree/tests copying sklearn/tree/tests/test_export.py -> build/lib.linux-aarch64-2.7/sklearn/tree/tests creating build/lib.linux-aarch64-2.7/sklearn/svm copying sklearn/svm/classes.py -> build/lib.linux-aarch64-2.7/sklearn/svm copying sklearn/svm/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/svm copying sklearn/svm/base.py -> build/lib.linux-aarch64-2.7/sklearn/svm copying sklearn/svm/bounds.py -> build/lib.linux-aarch64-2.7/sklearn/svm copying sklearn/svm/setup.py -> build/lib.linux-aarch64-2.7/sklearn/svm creating build/lib.linux-aarch64-2.7/sklearn/svm/tests copying sklearn/svm/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/svm/tests copying sklearn/svm/tests/test_sparse.py -> build/lib.linux-aarch64-2.7/sklearn/svm/tests copying sklearn/svm/tests/test_bounds.py -> build/lib.linux-aarch64-2.7/sklearn/svm/tests copying sklearn/svm/tests/test_svm.py -> build/lib.linux-aarch64-2.7/sklearn/svm/tests creating build/lib.linux-aarch64-2.7/sklearn/linear_model copying sklearn/linear_model/sag.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model copying sklearn/linear_model/ridge.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model copying sklearn/linear_model/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model copying sklearn/linear_model/passive_aggressive.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model copying sklearn/linear_model/stochastic_gradient.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model copying sklearn/linear_model/logistic.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model copying sklearn/linear_model/base.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model copying sklearn/linear_model/randomized_l1.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model copying sklearn/linear_model/perceptron.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model copying sklearn/linear_model/bayes.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model copying sklearn/linear_model/omp.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model copying sklearn/linear_model/coordinate_descent.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model copying sklearn/linear_model/ransac.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model copying sklearn/linear_model/least_angle.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model copying sklearn/linear_model/theil_sen.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model copying sklearn/linear_model/huber.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model copying sklearn/linear_model/setup.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model creating build/lib.linux-aarch64-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_sag.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_coordinate_descent.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_omp.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_ridge.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_least_angle.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_ransac.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_bayes.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_theil_sen.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_perceptron.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_randomized_l1.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_sgd.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_base.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_logistic.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_huber.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_passive_aggressive.py -> build/lib.linux-aarch64-2.7/sklearn/linear_model/tests creating build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/deprecation.py -> build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/extmath.py -> build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/linear_assignment_.py -> build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/arpack.py -> build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/metaestimators.py -> build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/stats.py -> build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/sparsefuncs.py -> build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/testing.py -> build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/mocking.py -> build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/class_weight.py -> build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/graph.py -> build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/bench.py -> build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/optimize.py -> build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/validation.py -> build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/fixes.py -> build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/estimator_checks.py -> build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/setup.py -> build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/_scipy_sparse_lsqr_backport.py -> build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/multiclass.py -> build/lib.linux-aarch64-2.7/sklearn/utils copying sklearn/utils/random.py -> build/lib.linux-aarch64-2.7/sklearn/utils creating build/lib.linux-aarch64-2.7/sklearn/utils/sparsetools copying sklearn/utils/sparsetools/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/utils/sparsetools copying sklearn/utils/sparsetools/setup.py -> build/lib.linux-aarch64-2.7/sklearn/utils/sparsetools creating build/lib.linux-aarch64-2.7/sklearn/utils/sparsetools/tests copying sklearn/utils/sparsetools/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/utils/sparsetools/tests creating build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_murmurhash.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_linear_assignment.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_fast_dict.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_seq_dataset.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_estimator_checks.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_graph.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_class_weight.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_multiclass.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_metaestimators.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_optimize.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_sparsefuncs.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_shortest_path.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_bench.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_deprecation.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_extmath.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_validation.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_stats.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_random.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_utils.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_fixes.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests copying sklearn/utils/tests/test_testing.py -> build/lib.linux-aarch64-2.7/sklearn/utils/tests creating build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_multioutput.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_dummy.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_isotonic.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/__init__.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_grid_search.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_config.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_multiclass.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_metaestimators.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_kernel_approximation.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_kernel_ridge.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_calibration.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_docstring_parameters.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_naive_bayes.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_init.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_cross_validation.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_pipeline.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_common.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_check_build.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_learning_curve.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_discriminant_analysis.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_base.py -> build/lib.linux-aarch64-2.7/sklearn/tests copying sklearn/tests/test_random_projection.py -> build/lib.linux-aarch64-2.7/sklearn/tests running build_clib customize UnixCCompiler customize UnixCCompiler using build_clib building 'libsvm-skl' library compiling C++ sources C compiler: aarch64-linux-gnu-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-2.7 creating build/temp.linux-aarch64-2.7/sklearn creating build/temp.linux-aarch64-2.7/sklearn/svm creating build/temp.linux-aarch64-2.7/sklearn/svm/src creating build/temp.linux-aarch64-2.7/sklearn/svm/src/libsvm compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -c' aarch64-linux-gnu-g++: sklearn/svm/src/libsvm/libsvm_template.cpp aarch64-linux-gnu-gcc-ar: adding 1 object files to build/temp.linux-aarch64-2.7/liblibsvm-skl.a building 'cblas' library compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-2.7/sklearn/src creating build/temp.linux-aarch64-2.7/sklearn/src/cblas compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -c' aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_drotg.c In file included from sklearn/src/cblas/cblas_drotg.c:32:0: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_drefgemv.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_drot.c In file included from sklearn/src/cblas/cblas_drot.c:32:0: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_drefger.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_dnrm2.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_drefasum.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_drefgemvN.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_drefrotg.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_saxpy.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_scopy.c In file included from sklearn/src/cblas/atlas_level1.h:37:0, from sklearn/src/cblas/cblas_scopy.c:36: sklearn/src/cblas/cblas_scopy.c: In function ‘cblas_scopy’: sklearn/src/cblas/atlas_refalias1.h:12:24: warning: implicit declaration of function ‘ATL_srefcopy’; did you mean ‘ATL_sgecopy’? [-Wimplicit-function-declaration] #define ATL_scopy ATL_srefcopy ^ sklearn/src/cblas/cblas_scopy.c:46:24: note: in expansion of macro ‘ATL_scopy’ if (incY < 0) ATL_scopy(N, X, -incX, Y, -incY); ^~~~~~~~~ In file included from sklearn/src/cblas/cblas_scopy.c:32:0: At top level: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_srefgemvN.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_sscal.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_daxpy.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_srefger.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_sgemv.c sklearn/src/cblas/cblas_sgemv.c: In function ‘cblas_sgemv’: sklearn/src/cblas/cblas_sgemv.c:79:7: warning: implicit declaration of function ‘cblas_xerbla’; did you mean ‘cblas_zher2k’? [-Wimplicit-function-declaration] cblas_xerbla(info, "cblas_sgemv", ""); ^~~~~~~~~~~~ cblas_zher2k In file included from sklearn/src/cblas/cblas_sgemv.c:32:0: At top level: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_ddot.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_srot.c In file included from sklearn/src/cblas/cblas_srot.c:32:0: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_dcopy.c In file included from sklearn/src/cblas/atlas_level1.h:37:0, from sklearn/src/cblas/cblas_dcopy.c:36: sklearn/src/cblas/cblas_dcopy.c: In function ‘cblas_dcopy’: sklearn/src/cblas/atlas_refalias1.h:25:24: warning: implicit declaration of function ‘ATL_drefcopy’; did you mean ‘ATL_dgecopy’? [-Wimplicit-function-declaration] #define ATL_dcopy ATL_drefcopy ^ sklearn/src/cblas/cblas_dcopy.c:46:24: note: in expansion of macro ‘ATL_dcopy’ if (incY < 0) ATL_dcopy(N, X, -incX, Y, -incY); ^~~~~~~~~ In file included from sklearn/src/cblas/cblas_dcopy.c:32:0: At top level: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_dgemv.c sklearn/src/cblas/cblas_dgemv.c: In function ‘cblas_dgemv’: sklearn/src/cblas/cblas_dgemv.c:79:7: warning: implicit declaration of function ‘cblas_xerbla’; did you mean ‘cblas_zher2k’? [-Wimplicit-function-declaration] cblas_xerbla(info, "cblas_dgemv", ""); ^~~~~~~~~~~~ cblas_zher2k In file included from sklearn/src/cblas/cblas_dgemv.c:32:0: At top level: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_srefcopy.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_srefgemv.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_srefnrm2.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_srotg.c In file included from sklearn/src/cblas/cblas_srotg.c:32:0: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_sdot.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_xerbla.c sklearn/src/cblas/cblas_xerbla.c: In function ‘cblas_xerbla’: sklearn/src/cblas/cblas_xerbla.c:52:4: warning: implicit declaration of function ‘exit’ [-Wimplicit-function-declaration] exit(-1); ^~~~ sklearn/src/cblas/cblas_xerbla.c:52:4: warning: incompatible implicit declaration of built-in function ‘exit’ sklearn/src/cblas/cblas_xerbla.c:52:4: note: include ‘’ or provide a declaration of ‘exit’ aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_snrm2.c In file included from sklearn/src/cblas/cblas_snrm2.c:32:0: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_dsrefdot.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_drefcopy.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_dger.c sklearn/src/cblas/cblas_dger.c: In function ‘cblas_dger’: sklearn/src/cblas/cblas_dger.c:73:7: warning: implicit declaration of function ‘cblas_xerbla’; did you mean ‘cblas_zher2k’? [-Wimplicit-function-declaration] cblas_xerbla(info, "cblas_dger", ""); ^~~~~~~~~~~~ cblas_zher2k In file included from sklearn/src/cblas/cblas_dger.c:32:0: At top level: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_errprn.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_sasum.c In file included from sklearn/src/cblas/cblas_sasum.c:32:0: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_srefrotg.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_sger.c sklearn/src/cblas/cblas_sger.c: In function ‘cblas_sger’: sklearn/src/cblas/cblas_sger.c:73:7: warning: implicit declaration of function ‘cblas_xerbla’; did you mean ‘cblas_zher2k’? [-Wimplicit-function-declaration] cblas_xerbla(info, "cblas_sger", ""); ^~~~~~~~~~~~ cblas_zher2k In file included from sklearn/src/cblas/cblas_sger.c:32:0: At top level: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_drefgemvT.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_srefgemvT.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_dscal.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_srefrot.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_dasum.c In file included from sklearn/src/cblas/cblas_dasum.c:32:0: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_drefrot.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_srefasum.c aarch64-linux-gnu-gcc-ar: adding 40 object files to build/temp.linux-aarch64-2.7/libcblas.a running build_ext customize UnixCCompiler customize UnixCCompiler using build_ext customize UnixCCompiler customize UnixCCompiler using build_ext building 'sklearn.__check_build._check_build' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-2.7/sklearn/__check_build compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/__check_build/_check_build.c aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/__check_build/_check_build.o -Lbuild/temp.linux-aarch64-2.7 -o build/lib.linux-aarch64-2.7/sklearn/__check_build/_check_build.so building 'sklearn.cluster._dbscan_inner' extension compiling C++ sources C compiler: aarch64-linux-gnu-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-2.7/sklearn/cluster compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-g++: sklearn/cluster/_dbscan_inner.cpp In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_dbscan_inner.cpp:524: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/cluster/_dbscan_inner.o -Lbuild/temp.linux-aarch64-2.7 -o build/lib.linux-aarch64-2.7/sklearn/cluster/_dbscan_inner.so building 'sklearn.cluster._hierarchical' extension compiling C++ sources C compiler: aarch64-linux-gnu-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-g++: sklearn/cluster/_hierarchical.cpp In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_hierarchical.cpp:522: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/cluster/_hierarchical.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/cluster/_hierarchical.so building 'sklearn.cluster._k_means_elkan' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/cluster/_k_means_elkan.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_k_means_elkan.c:507: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/cluster/_k_means_elkan.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/cluster/_k_means_elkan.so building 'sklearn.cluster._k_means' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/cluster/_k_means.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_k_means.c:511: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ sklearn/cluster/_k_means.c: In function ‘__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array’: sklearn/cluster/_k_means.c:3858:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_sdot; ^ sklearn/cluster/_k_means.c: In function ‘__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array’: sklearn/cluster/_k_means.c:4606:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_ddot; ^ sklearn/cluster/_k_means.c: In function ‘__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr’: sklearn/cluster/_k_means.c:6155:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_sdot; ^ sklearn/cluster/_k_means.c: In function ‘__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr’: sklearn/cluster/_k_means.c:6960:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_ddot; ^ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/cluster/_k_means.o -Lbuild/temp.linux-aarch64-2.7 -lcblas -lm -o build/lib.linux-aarch64-2.7/sklearn/cluster/_k_means.so building 'sklearn.datasets._svmlight_format' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-2.7/sklearn/datasets compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/datasets/_svmlight_format.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/datasets/_svmlight_format.c:505: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/datasets/_svmlight_format.o -Lbuild/temp.linux-aarch64-2.7 -o build/lib.linux-aarch64-2.7/sklearn/datasets/_svmlight_format.so building 'sklearn.decomposition._online_lda' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-2.7/sklearn/decomposition compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/decomposition/_online_lda.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/decomposition/_online_lda.c:508: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/decomposition/_online_lda.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/decomposition/_online_lda.so building 'sklearn.decomposition.cdnmf_fast' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/decomposition/cdnmf_fast.c aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/decomposition/cdnmf_fast.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/decomposition/cdnmf_fast.so building 'sklearn.ensemble._gradient_boosting' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-2.7/sklearn/ensemble compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/ensemble/_gradient_boosting.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/ensemble/_gradient_boosting.c:504: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/ensemble/_gradient_boosting.o -Lbuild/temp.linux-aarch64-2.7 -o build/lib.linux-aarch64-2.7/sklearn/ensemble/_gradient_boosting.so building 'sklearn.feature_extraction._hashing' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-2.7/sklearn/feature_extraction compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/feature_extraction/_hashing.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/feature_extraction/_hashing.c:508: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/feature_extraction/_hashing.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/feature_extraction/_hashing.so building 'sklearn.manifold._utils' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-2.7/sklearn/manifold compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' extra options: '-O3' aarch64-linux-gnu-gcc: sklearn/manifold/_utils.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/manifold/_utils.c:512: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/manifold/_utils.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/manifold/_utils.so building 'sklearn.manifold._barnes_hut_tsne' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' extra options: '-O4' aarch64-linux-gnu-gcc: sklearn/manifold/_barnes_hut_tsne.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/manifold/_barnes_hut_tsne.c:512: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ sklearn/manifold/_barnes_hut_tsne.c: In function ‘__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_compute_gradient_negative’: sklearn/manifold/_barnes_hut_tsne.c:3230:9: warning: variable ‘__pyx_v_force’ set but not used [-Wunused-but-set-variable] float __pyx_v_force[3]; ^~~~~~~~~~~~~ sklearn/manifold/_barnes_hut_tsne.c:3229:9: warning: variable ‘__pyx_v_iQ’ set but not used [-Wunused-but-set-variable] float __pyx_v_iQ[1]; ^~~~~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/manifold/_barnes_hut_tsne.o -Lbuild/temp.linux-aarch64-2.7 -lcblas -o build/lib.linux-aarch64-2.7/sklearn/manifold/_barnes_hut_tsne.so building 'sklearn.metrics.pairwise_fast' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-2.7/sklearn/metrics compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/metrics/pairwise_fast.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/metrics/pairwise_fast.c:510: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/metrics/pairwise_fast.o -Lbuild/temp.linux-aarch64-2.7 -lcblas -lm -o build/lib.linux-aarch64-2.7/sklearn/metrics/pairwise_fast.so building 'sklearn.metrics/cluster.expected_mutual_info_fast' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-2.7/sklearn/metrics/cluster compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/metrics/cluster/expected_mutual_info_fast.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/metrics/cluster/expected_mutual_info_fast.c:508: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/metrics/cluster/expected_mutual_info_fast.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/metrics/cluster/expected_mutual_info_fast.so building 'sklearn.neighbors.ball_tree' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-2.7/sklearn/neighbors compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/neighbors/ball_tree.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/ball_tree.c:507: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/neighbors/ball_tree.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/neighbors/ball_tree.so building 'sklearn.neighbors.kd_tree' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/neighbors/kd_tree.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/kd_tree.c:507: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ sklearn/neighbors/kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__recursive_build’: sklearn/neighbors/kd_tree.c:22180:49: warning: ‘__pyx_v_j’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_j; ^~~~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/neighbors/kd_tree.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/neighbors/kd_tree.so building 'sklearn.neighbors.dist_metrics' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include/numpy -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/neighbors/dist_metrics.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/dist_metrics.c:508: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_dist’: sklearn/neighbors/dist_metrics.c:6879:85: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) __PYX_ERR(1, 464, __pyx_L1_error) ^ sklearn/neighbors/dist_metrics.c:6684:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_dist’: sklearn/neighbors/dist_metrics.c:7694:84: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) __PYX_ERR(1, 553, __pyx_L1_error) ^ sklearn/neighbors/dist_metrics.c:7615:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_dist’: sklearn/neighbors/dist_metrics.c:8400:85: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) __PYX_ERR(1, 612, __pyx_L1_error) ^ sklearn/neighbors/dist_metrics.c:8215:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_dist’: sklearn/neighbors/dist_metrics.c:9266:86: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) __PYX_ERR(1, 685, __pyx_L1_error) ^ sklearn/neighbors/dist_metrics.c:9026:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/neighbors/dist_metrics.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/neighbors/dist_metrics.so building 'sklearn.neighbors.typedefs' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/neighbors/typedefs.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/typedefs.c:507: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/neighbors/typedefs.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/neighbors/typedefs.so building 'sklearn.neighbors.quad_tree' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/neighbors/quad_tree.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/quad_tree.c:507: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ sklearn/neighbors/quad_tree.c:2722:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] static PyObject *__pyx_pf_7sklearn_9neighbors_9quad_tree_9_QuadTree_16test_summarize(); /* proto */ ^~~~~~ sklearn/neighbors/quad_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__get_cell_ndarray’: sklearn/neighbors/quad_tree.c:7009:36: warning: passing argument 1 of ‘(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, PyObject *))*(PyArray_API + 752)’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->cells), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 574, __pyx_L1_error) ^ sklearn/neighbors/quad_tree.c:7009:36: note: expected ‘PyTypeObject * {aka struct _typeobject *}’ but argument is of type ‘PyObject * {aka struct _object *}’ sklearn/neighbors/quad_tree.c: At top level: sklearn/neighbors/quad_tree.c:7434:18: warning: function declaration isn’t a prototype [-Wstrict-prototypes] static PyObject *__pyx_pf_7sklearn_9neighbors_9quad_tree_9_QuadTree_16test_summarize() { ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/neighbors/quad_tree.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/neighbors/quad_tree.so building 'sklearn.tree._tree' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-2.7/sklearn/tree compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' extra options: '-O3' aarch64-linux-gnu-gcc: sklearn/tree/_tree.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_tree.c:510: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ sklearn/tree/_tree.c: In function ‘__pyx_f_7sklearn_4tree_5_tree_4Tree__get_node_ndarray’: sklearn/tree/_tree.c:14839:36: warning: passing argument 1 of ‘(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, PyObject *))*(PyArray_API + 752)’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->nodes), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1123, __pyx_L1_error) ^ sklearn/tree/_tree.c:14839:36: note: expected ‘PyTypeObject * {aka struct _typeobject *}’ but argument is of type ‘PyObject * {aka struct _object *}’ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/tree/_tree.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/tree/_tree.so building 'sklearn.tree._splitter' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' extra options: '-O3' aarch64-linux-gnu-gcc: sklearn/tree/_splitter.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_splitter.c:510: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/tree/_splitter.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/tree/_splitter.so building 'sklearn.tree._criterion' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' extra options: '-O3' aarch64-linux-gnu-gcc: sklearn/tree/_criterion.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_criterion.c:510: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/tree/_criterion.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/tree/_criterion.so building 'sklearn.tree._utils' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' extra options: '-O3' aarch64-linux-gnu-gcc: sklearn/tree/_utils.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_utils.c:510: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ sklearn/tree/_utils.c: In function ‘__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_remove’: sklearn/tree/_utils.c:9131:4: warning: ‘__pyx_v_original_median’ may be used uninitialized in this function [-Wmaybe-uninitialized] ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median); ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/tree/_utils.c: In function ‘__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_pop’: sklearn/tree/_utils.c:9243:4: warning: ‘__pyx_v_original_median’ may be used uninitialized in this function [-Wmaybe-uninitialized] ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, (__pyx_v_data[0]), (__pyx_v_weight[0]), __pyx_v_original_median); ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/tree/_utils.c: In function ‘__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_push’: sklearn/tree/_utils.c:8775:4: warning: ‘__pyx_v_original_median’ may be used uninitialized in this function [-Wmaybe-uninitialized] ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_push(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median); ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/tree/_utils.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/tree/_utils.so building 'sklearn.svm.libsvm' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/svm/libsvm.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/svm/libsvm.c:512: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/svm/libsvm.o -Lbuild/temp.linux-aarch64-2.7 -llibsvm-skl -o build/lib.linux-aarch64-2.7/sklearn/svm/libsvm.so building 'sklearn.svm.liblinear' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/svm -I./sklearn/svm -Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/svm/liblinear.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/svm/liblinear.c:516: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ In file included from sklearn/svm/liblinear.c:519:0: sklearn/svm/src/liblinear/liblinear_helper.c: In function ‘set_problem’: sklearn/svm/src/liblinear/liblinear_helper.c:145:28: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] problem->sample_weight = sample_weight; ^ sklearn/svm/src/liblinear/liblinear_helper.c: In function ‘csr_set_problem’: sklearn/svm/src/liblinear/liblinear_helper.c:174:28: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] problem->sample_weight = sample_weight; ^ compiling C++ sources C compiler: aarch64-linux-gnu-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-2.7/sklearn/svm/src/liblinear compile options: '-Isklearn/svm -I./sklearn/svm -Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-g++: sklearn/svm/src/liblinear/linear.cpp sklearn/svm/src/liblinear/linear.cpp: In function ‘model* train(const problem*, const parameter*)’: sklearn/svm/src/liblinear/linear.cpp:2370:6: warning: unused variable ‘n_iter’ [-Wunused-variable] int n_iter; ^~~~~~ aarch64-linux-gnu-g++: sklearn/svm/src/liblinear/tron.cpp aarch64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/svm/liblinear.o build/temp.linux-aarch64-2.7/sklearn/svm/src/liblinear/linear.o build/temp.linux-aarch64-2.7/sklearn/svm/src/liblinear/tron.o -Lbuild/temp.linux-aarch64-2.7 -lcblas -lm -o build/lib.linux-aarch64-2.7/sklearn/svm/liblinear.so building 'sklearn.svm.libsvm_sparse' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/svm/libsvm_sparse.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/svm/libsvm_sparse.c:510: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/svm/libsvm_sparse.o -Lbuild/temp.linux-aarch64-2.7 -llibsvm-skl -o build/lib.linux-aarch64-2.7/sklearn/svm/libsvm_sparse.so building 'sklearn._isotonic' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/_isotonic.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/_isotonic.c:507: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/_isotonic.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/_isotonic.so building 'sklearn.linear_model.cd_fast' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-2.7/sklearn/linear_model compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/linear_model/cd_fast.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/cd_fast.c:511: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_8enet_coordinate_descent’: sklearn/linear_model/cd_fast.c:4983:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_sdot; ^ sklearn/linear_model/cd_fast.c:4992:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_axpy = cblas_saxpy; ^ sklearn/linear_model/cd_fast.c:5001:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_asum = cblas_sasum; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_10enet_coordinate_descent’: sklearn/linear_model/cd_fast.c:6429:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_ddot; ^ sklearn/linear_model/cd_fast.c:6438:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_axpy = cblas_daxpy; ^ sklearn/linear_model/cd_fast.c:6447:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_asum = cblas_dasum; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_14sparse_enet_coordinate_descent’: sklearn/linear_model/cd_fast.c:8746:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_sdot; ^ sklearn/linear_model/cd_fast.c:8755:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_asum = cblas_sasum; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_16sparse_enet_coordinate_descent’: sklearn/linear_model/cd_fast.c:10725:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_ddot; ^ sklearn/linear_model/cd_fast.c:10734:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_asum = cblas_dasum; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_20enet_coordinate_descent_gram’: sklearn/linear_model/cd_fast.c:13285:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_sdot; ^ sklearn/linear_model/cd_fast.c:13294:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_axpy = cblas_saxpy; ^ sklearn/linear_model/cd_fast.c:13303:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_asum = cblas_sasum; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_22enet_coordinate_descent_gram’: sklearn/linear_model/cd_fast.c:14813:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_ddot; ^ sklearn/linear_model/cd_fast.c:14822:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_axpy = cblas_daxpy; ^ sklearn/linear_model/cd_fast.c:14831:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_asum = cblas_dasum; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_26enet_coordinate_descent_multi_task’: sklearn/linear_model/cd_fast.c:17042:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_sdot; ^ sklearn/linear_model/cd_fast.c:17051:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_nrm2 = cblas_snrm2; ^ sklearn/linear_model/cd_fast.c:17060:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_asum = cblas_sasum; ^ sklearn/linear_model/cd_fast.c:17069:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_copy = cblas_scopy; ^ sklearn/linear_model/cd_fast.c:17087:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_ger = cblas_sger; ^ sklearn/linear_model/cd_fast.c:17096:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_gemv = cblas_sgemv; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_28enet_coordinate_descent_multi_task’: sklearn/linear_model/cd_fast.c:18769:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_ddot; ^ sklearn/linear_model/cd_fast.c:18778:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_nrm2 = cblas_dnrm2; ^ sklearn/linear_model/cd_fast.c:18787:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_asum = cblas_dasum; ^ sklearn/linear_model/cd_fast.c:18796:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_copy = cblas_dcopy; ^ sklearn/linear_model/cd_fast.c:18814:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_ger = cblas_dger; ^ sklearn/linear_model/cd_fast.c:18823:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_gemv = cblas_dgemv; ^ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/linear_model/cd_fast.o -Lbuild/temp.linux-aarch64-2.7 -lcblas -lm -o build/lib.linux-aarch64-2.7/sklearn/linear_model/cd_fast.so building 'sklearn.linear_model.sgd_fast' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/linear_model -Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/linear_model/sgd_fast.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/sgd_fast.c:513: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/linear_model/sgd_fast.o -Lbuild/temp.linux-aarch64-2.7 -lcblas -lm -o build/lib.linux-aarch64-2.7/sklearn/linear_model/sgd_fast.so building 'sklearn.linear_model.sag_fast' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/linear_model -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/linear_model/sag_fast.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/sag_fast.c:506: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/linear_model/sag_fast.o -Lbuild/temp.linux-aarch64-2.7 -o build/lib.linux-aarch64-2.7/sklearn/linear_model/sag_fast.so building 'sklearn.utils.sparsefuncs_fast' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-2.7/sklearn/utils compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/utils/sparsefuncs_fast.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/sparsefuncs_fast.c:502: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/utils/sparsefuncs_fast.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/utils/sparsefuncs_fast.so building 'sklearn.utils.arrayfuncs' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/utils -Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/utils/arrayfuncs.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/arrayfuncs.c:511: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/utils/arrayfuncs.o -Lbuild/temp.linux-aarch64-2.7 -lcblas -lm -o build/lib.linux-aarch64-2.7/sklearn/utils/arrayfuncs.so building 'sklearn.utils.murmurhash' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/utils -Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/utils/murmurhash.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/murmurhash.c:505: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ compiling C++ sources C compiler: aarch64-linux-gnu-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-2.7/sklearn/utils/src compile options: '-Isklearn/utils -Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-g++: sklearn/utils/src/MurmurHash3.cpp aarch64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/utils/murmurhash.o build/temp.linux-aarch64-2.7/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-aarch64-2.7 -o build/lib.linux-aarch64-2.7/sklearn/utils/murmurhash.so building 'sklearn.utils.lgamma' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/utils -Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/utils/src/gamma.c aarch64-linux-gnu-gcc: sklearn/utils/lgamma.c aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/utils/lgamma.o build/temp.linux-aarch64-2.7/sklearn/utils/src/gamma.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/utils/lgamma.so building 'sklearn.utils.graph_shortest_path' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/utils/graph_shortest_path.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/graph_shortest_path.c:504: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-aarch64-2.7 -o build/lib.linux-aarch64-2.7/sklearn/utils/graph_shortest_path.so building 'sklearn.utils.fast_dict' extension compiling C++ sources C compiler: aarch64-linux-gnu-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-g++: sklearn/utils/fast_dict.cpp In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/fast_dict.cpp:528: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ sklearn/utils/fast_dict.cpp: In function ‘PyObject* __pyx_pw_7sklearn_5utils_9fast_dict_1argmin(PyObject*, PyObject*)’: sklearn/utils/fast_dict.cpp:25115:47: warning: ‘__pyx_v_min_key’ may be used uninitialized in this function [-Wmaybe-uninitialized] return PyInt_FromLong((long) value); ^ sklearn/utils/fast_dict.cpp:4336:46: note: ‘__pyx_v_min_key’ was declared here __pyx_t_7sklearn_5utils_9fast_dict_ITYPE_t __pyx_v_min_key; ^~~~~~~~~~~~~~~ aarch64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/utils/fast_dict.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/utils/fast_dict.so building 'sklearn.utils.seq_dataset' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/utils/seq_dataset.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/seq_dataset.c:504: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/utils/seq_dataset.o -Lbuild/temp.linux-aarch64-2.7 -o build/lib.linux-aarch64-2.7/sklearn/utils/seq_dataset.so building 'sklearn.utils.weight_vector' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/utils/weight_vector.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/weight_vector.c:510: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/utils/weight_vector.o -Lbuild/temp.linux-aarch64-2.7 -lcblas -lm -o build/lib.linux-aarch64-2.7/sklearn/utils/weight_vector.so building 'sklearn.utils._random' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/utils/_random.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/_random.c:507: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/utils/_random.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/utils/_random.so building 'sklearn.utils._logistic_sigmoid' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c' aarch64-linux-gnu-gcc: sklearn/utils/_logistic_sigmoid.c In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/_logistic_sigmoid.c:508: /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-t6iTr2/python2.7-2.7.14=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-2.7/sklearn/utils/_logistic_sigmoid.o -Lbuild/temp.linux-aarch64-2.7 -lm -o build/lib.linux-aarch64-2.7/sklearn/utils/_logistic_sigmoid.so dh_auto_test -a -O--buildsystem=python_distutils fakeroot debian/rules binary-arch Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! : # Explicit build system to avoid use of all-in-1 Makefile dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh binary-arch --buildsystem=python_distutils --with python2,python3,autoreconf dh_testroot -a -O--buildsystem=python_distutils dh_prep -a -O--buildsystem=python_distutils debian/rules override_dh_auto_install make[1]: Entering directory '/<>' Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! echo "2.7" | grep -q '^3' && PY=3 || PY= ; \ CYTHONVER=$(dpkg -l cython$PY 2>/dev/null | awk '/^ii/{print $3;}' || echo 0); \ dpkg --compare-versions "$CYTHONVER" lt "0.24" && { \ echo "I: Using pre-Cython-ed files for Python 2.7"; \ touch PKG-INFO; \ cd debian/cythonized-files$PY/ ; \ find . -regex '.*\.c\(\|pp\)' | while read f; do cp $f ../../$f; done; } || : dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! python2.7 setup.py install --install-layout=deb --root=/<>/debian/tmp dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! Partial import of sklearn during the build process. blas_opt_info: blas_mkl_info: libraries mkl_rt not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE blis_info: libraries blis not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE openblas_info: libraries openblas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE atlas_3_10_blas_threads_info: Setting PTATLAS=ATLAS libraries tatlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu/atlas', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE atlas_3_10_blas_info: libraries satlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu/atlas', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE atlas_blas_threads_info: Setting PTATLAS=ATLAS libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu/atlas', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE atlas_blas_info: libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu/atlas', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE /usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:572: UserWarning: Atlas (http://math-atlas.sourceforge.net/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [atlas]) or by setting the ATLAS environment variable. self.calc_info() blas_info: libraries blas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE /usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:572: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. self.calc_info() blas_src_info: NOT AVAILABLE /usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:572: UserWarning: Blas (http://www.netlib.org/blas/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [blas_src]) or by setting the BLAS_SRC environment variable. self.calc_info() NOT AVAILABLE sklearn/setup.py:72: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. warnings.warn(BlasNotFoundError.__doc__) sklearn/manifold/_barnes_hut_tsne.pyx: cannot find cimported module 'sklearn.neighbors' Warning: Extension name 'sklearn.metrics/cluster.expected_mutual_info_fast' does not match fully qualified name 'sklearn.metrics.cluster.expected_mutual_info_fast' of 'sklearn/metrics/cluster/expected_mutual_info_fast.pyx' running install running build running config_cc unifing config_cc, config, build_clib, build_ext, build commands --compiler options running config_fc unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options running build_src build_src building library "libsvm-skl" sources building library "cblas" sources building extension "sklearn.__check_build._check_build" sources building extension "sklearn.cluster._dbscan_inner" sources building extension "sklearn.cluster._hierarchical" sources building extension "sklearn.cluster._k_means_elkan" sources building extension "sklearn.cluster._k_means" sources building extension "sklearn.datasets._svmlight_format" sources building extension "sklearn.decomposition._online_lda" sources building extension "sklearn.decomposition.cdnmf_fast" sources building extension "sklearn.ensemble._gradient_boosting" sources building extension "sklearn.feature_extraction._hashing" sources building extension "sklearn.manifold._utils" sources building extension "sklearn.manifold._barnes_hut_tsne" sources building extension "sklearn.metrics.pairwise_fast" sources building extension "sklearn.metrics/cluster.expected_mutual_info_fast" sources building extension "sklearn.neighbors.ball_tree" sources building extension "sklearn.neighbors.kd_tree" sources building extension "sklearn.neighbors.dist_metrics" sources building extension "sklearn.neighbors.typedefs" sources building extension "sklearn.neighbors.quad_tree" sources building extension "sklearn.tree._tree" sources building extension "sklearn.tree._splitter" sources building extension "sklearn.tree._criterion" sources building extension "sklearn.tree._utils" sources building extension "sklearn.svm.libsvm" sources building extension "sklearn.svm.liblinear" sources building extension "sklearn.svm.libsvm_sparse" sources building extension "sklearn._isotonic" sources building extension "sklearn.linear_model.cd_fast" sources building extension "sklearn.linear_model.sgd_fast" sources building extension "sklearn.linear_model.sag_fast" sources building extension "sklearn.utils.sparsefuncs_fast" sources building extension "sklearn.utils.arrayfuncs" sources building extension "sklearn.utils.murmurhash" sources building extension "sklearn.utils.lgamma" sources building extension "sklearn.utils.graph_shortest_path" sources building extension "sklearn.utils.fast_dict" sources building extension "sklearn.utils.seq_dataset" sources building extension "sklearn.utils.weight_vector" sources building extension "sklearn.utils._random" sources building extension "sklearn.utils._logistic_sigmoid" sources building data_files sources build_src: building npy-pkg config files running build_py running build_clib customize UnixCCompiler customize UnixCCompiler using build_clib running build_ext customize UnixCCompiler customize UnixCCompiler using build_ext customize UnixCCompiler customize UnixCCompiler using build_ext running install_lib creating /<>/debian/tmp creating /<>/debian/tmp/usr creating /<>/debian/tmp/usr/lib creating /<>/debian/tmp/usr/lib/python2.7 creating /<>/debian/tmp/usr/lib/python2.7/dist-packages creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build copying build/lib.linux-aarch64-2.7/sklearn/__check_build/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build copying build/lib.linux-aarch64-2.7/sklearn/__check_build/_check_build.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build copying build/lib.linux-aarch64-2.7/sklearn/__check_build/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble copying build/lib.linux-aarch64-2.7/sklearn/ensemble/gradient_boosting.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble copying build/lib.linux-aarch64-2.7/sklearn/ensemble/iforest.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble copying build/lib.linux-aarch64-2.7/sklearn/ensemble/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble copying build/lib.linux-aarch64-2.7/sklearn/ensemble/_gradient_boosting.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble copying build/lib.linux-aarch64-2.7/sklearn/ensemble/bagging.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble copying build/lib.linux-aarch64-2.7/sklearn/ensemble/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble copying build/lib.linux-aarch64-2.7/sklearn/ensemble/partial_dependence.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble copying build/lib.linux-aarch64-2.7/sklearn/ensemble/forest.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble copying build/lib.linux-aarch64-2.7/sklearn/ensemble/weight_boosting.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble copying build/lib.linux-aarch64-2.7/sklearn/ensemble/voting_classifier.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-2.7/sklearn/ensemble/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-2.7/sklearn/ensemble/tests/test_forest.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-2.7/sklearn/ensemble/tests/test_partial_dependence.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-2.7/sklearn/ensemble/tests/test_iforest.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-2.7/sklearn/ensemble/tests/test_bagging.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-2.7/sklearn/ensemble/tests/test_weight_boosting.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-2.7/sklearn/ensemble/tests/test_gradient_boosting.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-2.7/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-2.7/sklearn/ensemble/tests/test_voting_classifier.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-2.7/sklearn/ensemble/tests/test_base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-2.7/sklearn/ensemble/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-2.7/sklearn/datasets/svmlight_format.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-2.7/sklearn/datasets/olivetti_faces.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-2.7/sklearn/datasets/lfw.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-2.7/sklearn/datasets/kddcup99.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-2.7/sklearn/datasets/mlcomp.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-2.7/sklearn/datasets/california_housing.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-2.7/sklearn/datasets/species_distributions.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-2.7/sklearn/datasets/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-2.7/sklearn/datasets/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-2.7/sklearn/datasets/twenty_newsgroups.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-2.7/sklearn/datasets/covtype.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-2.7/sklearn/datasets/rcv1.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-2.7/sklearn/datasets/mldata.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-2.7/sklearn/datasets/tests/test_samples_generator.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-2.7/sklearn/datasets/tests/test_lfw.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-2.7/sklearn/datasets/tests/test_covtype.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-2.7/sklearn/datasets/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-2.7/sklearn/datasets/tests/test_mldata.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-2.7/sklearn/datasets/tests/test_svmlight_format.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-2.7/sklearn/datasets/tests/test_base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-2.7/sklearn/datasets/tests/test_20news.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-2.7/sklearn/datasets/tests/test_rcv1.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-2.7/sklearn/datasets/tests/test_kddcup99.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-2.7/sklearn/datasets/_svmlight_format.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-2.7/sklearn/datasets/samples_generator.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-2.7/sklearn/datasets/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-2.7/sklearn/isotonic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance copying build/lib.linux-aarch64-2.7/sklearn/covariance/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance copying build/lib.linux-aarch64-2.7/sklearn/covariance/robust_covariance.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance copying build/lib.linux-aarch64-2.7/sklearn/covariance/shrunk_covariance_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance copying build/lib.linux-aarch64-2.7/sklearn/covariance/outlier_detection.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance copying build/lib.linux-aarch64-2.7/sklearn/covariance/empirical_covariance_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance copying build/lib.linux-aarch64-2.7/sklearn/covariance/graph_lasso_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests copying build/lib.linux-aarch64-2.7/sklearn/covariance/tests/test_graph_lasso.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests copying build/lib.linux-aarch64-2.7/sklearn/covariance/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests copying build/lib.linux-aarch64-2.7/sklearn/covariance/tests/test_robust_covariance.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests copying build/lib.linux-aarch64-2.7/sklearn/covariance/tests/test_covariance.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture copying build/lib.linux-aarch64-2.7/sklearn/mixture/dpgmm.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture copying build/lib.linux-aarch64-2.7/sklearn/mixture/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture copying build/lib.linux-aarch64-2.7/sklearn/mixture/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture copying build/lib.linux-aarch64-2.7/sklearn/mixture/gmm.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture copying build/lib.linux-aarch64-2.7/sklearn/mixture/bayesian_mixture.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture copying build/lib.linux-aarch64-2.7/sklearn/mixture/gaussian_mixture.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests copying build/lib.linux-aarch64-2.7/sklearn/mixture/tests/test_gmm.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests copying build/lib.linux-aarch64-2.7/sklearn/mixture/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests copying build/lib.linux-aarch64-2.7/sklearn/mixture/tests/test_dpgmm.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests copying build/lib.linux-aarch64-2.7/sklearn/mixture/tests/test_gaussian_mixture.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests copying build/lib.linux-aarch64-2.7/sklearn/mixture/tests/test_bayesian_mixture.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests copying build/lib.linux-aarch64-2.7/sklearn/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing copying build/lib.linux-aarch64-2.7/sklearn/preprocessing/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing copying build/lib.linux-aarch64-2.7/sklearn/preprocessing/label.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing copying build/lib.linux-aarch64-2.7/sklearn/preprocessing/_function_transformer.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing copying build/lib.linux-aarch64-2.7/sklearn/preprocessing/imputation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests copying build/lib.linux-aarch64-2.7/sklearn/preprocessing/tests/test_function_transformer.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests copying build/lib.linux-aarch64-2.7/sklearn/preprocessing/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests copying build/lib.linux-aarch64-2.7/sklearn/preprocessing/tests/test_imputation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests copying build/lib.linux-aarch64-2.7/sklearn/preprocessing/tests/test_label.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests copying build/lib.linux-aarch64-2.7/sklearn/preprocessing/tests/test_data.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests copying build/lib.linux-aarch64-2.7/sklearn/preprocessing/data.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing copying build/lib.linux-aarch64-2.7/sklearn/pipeline.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network copying build/lib.linux-aarch64-2.7/sklearn/neural_network/multilayer_perceptron.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network copying build/lib.linux-aarch64-2.7/sklearn/neural_network/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network copying build/lib.linux-aarch64-2.7/sklearn/neural_network/_base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network copying build/lib.linux-aarch64-2.7/sklearn/neural_network/_stochastic_optimizers.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network copying build/lib.linux-aarch64-2.7/sklearn/neural_network/rbm.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests copying build/lib.linux-aarch64-2.7/sklearn/neural_network/tests/test_rbm.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests copying build/lib.linux-aarch64-2.7/sklearn/neural_network/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests copying build/lib.linux-aarch64-2.7/sklearn/neural_network/tests/test_stochastic_optimizers.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests copying build/lib.linux-aarch64-2.7/sklearn/neural_network/tests/test_mlp.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests copying build/lib.linux-aarch64-2.7/sklearn/random_projection.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection copying build/lib.linux-aarch64-2.7/sklearn/feature_selection/univariate_selection.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection copying build/lib.linux-aarch64-2.7/sklearn/feature_selection/mutual_info_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection copying build/lib.linux-aarch64-2.7/sklearn/feature_selection/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection copying build/lib.linux-aarch64-2.7/sklearn/feature_selection/variance_threshold.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection copying build/lib.linux-aarch64-2.7/sklearn/feature_selection/from_model.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection copying build/lib.linux-aarch64-2.7/sklearn/feature_selection/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection copying build/lib.linux-aarch64-2.7/sklearn/feature_selection/rfe.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-aarch64-2.7/sklearn/feature_selection/tests/test_rfe.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-aarch64-2.7/sklearn/feature_selection/tests/test_feature_select.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-aarch64-2.7/sklearn/feature_selection/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-aarch64-2.7/sklearn/feature_selection/tests/test_chi2.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-aarch64-2.7/sklearn/feature_selection/tests/test_from_model.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-aarch64-2.7/sklearn/feature_selection/tests/test_base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-aarch64-2.7/sklearn/feature_selection/tests/test_variance_threshold.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-aarch64-2.7/sklearn/feature_selection/tests/test_mutual_info.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process copying build/lib.linux-aarch64-2.7/sklearn/gaussian_process/kernels.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process copying build/lib.linux-aarch64-2.7/sklearn/gaussian_process/correlation_models.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process copying build/lib.linux-aarch64-2.7/sklearn/gaussian_process/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process copying build/lib.linux-aarch64-2.7/sklearn/gaussian_process/regression_models.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process copying build/lib.linux-aarch64-2.7/sklearn/gaussian_process/gaussian_process.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process copying build/lib.linux-aarch64-2.7/sklearn/gaussian_process/gpc.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process copying build/lib.linux-aarch64-2.7/sklearn/gaussian_process/gpr.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests copying build/lib.linux-aarch64-2.7/sklearn/gaussian_process/tests/test_gpr.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests copying build/lib.linux-aarch64-2.7/sklearn/gaussian_process/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests copying build/lib.linux-aarch64-2.7/sklearn/gaussian_process/tests/test_gaussian_process.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests copying build/lib.linux-aarch64-2.7/sklearn/gaussian_process/tests/test_gpc.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests copying build/lib.linux-aarch64-2.7/sklearn/gaussian_process/tests/test_kernels.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests copying build/lib.linux-aarch64-2.7/sklearn/cross_validation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn copying build/lib.linux-aarch64-2.7/sklearn/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-2.7/sklearn/neighbors/classification.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-2.7/sklearn/neighbors/unsupervised.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-2.7/sklearn/neighbors/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-2.7/sklearn/neighbors/approximate.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-2.7/sklearn/neighbors/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-2.7/sklearn/neighbors/ball_tree.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-2.7/sklearn/neighbors/nearest_centroid.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-2.7/sklearn/neighbors/typedefs.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-2.7/sklearn/neighbors/dist_metrics.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-2.7/sklearn/neighbors/graph.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-2.7/sklearn/neighbors/quad_tree.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-2.7/sklearn/neighbors/kde.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-2.7/sklearn/neighbors/regression.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-2.7/sklearn/neighbors/lof.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-2.7/sklearn/neighbors/kd_tree.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-2.7/sklearn/neighbors/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-2.7/sklearn/neighbors/tests/test_neighbors.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-2.7/sklearn/neighbors/tests/test_kde.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-2.7/sklearn/neighbors/tests/test_kd_tree.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-2.7/sklearn/neighbors/tests/test_nearest_centroid.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-2.7/sklearn/neighbors/tests/test_dist_metrics.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-2.7/sklearn/neighbors/tests/test_quad_tree.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-2.7/sklearn/neighbors/tests/test_approximate.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-2.7/sklearn/neighbors/tests/test_lof.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-2.7/sklearn/neighbors/tests/test_ball_tree.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-2.7/sklearn/neighbors/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-2.7/sklearn/multioutput.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition copying build/lib.linux-aarch64-2.7/sklearn/cross_decomposition/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition copying build/lib.linux-aarch64-2.7/sklearn/cross_decomposition/pls_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition copying build/lib.linux-aarch64-2.7/sklearn/cross_decomposition/cca_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests copying build/lib.linux-aarch64-2.7/sklearn/cross_decomposition/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests copying build/lib.linux-aarch64-2.7/sklearn/cross_decomposition/tests/test_pls.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests copying build/lib.linux-aarch64-2.7/sklearn/calibration.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics copying build/lib.linux-aarch64-2.7/sklearn/metrics/classification.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics copying build/lib.linux-aarch64-2.7/sklearn/metrics/pairwise_fast.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics copying build/lib.linux-aarch64-2.7/sklearn/metrics/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics copying build/lib.linux-aarch64-2.7/sklearn/metrics/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics copying build/lib.linux-aarch64-2.7/sklearn/metrics/ranking.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics copying build/lib.linux-aarch64-2.7/sklearn/metrics/regression.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics copying build/lib.linux-aarch64-2.7/sklearn/metrics/pairwise.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics copying build/lib.linux-aarch64-2.7/sklearn/metrics/scorer.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests copying build/lib.linux-aarch64-2.7/sklearn/metrics/tests/test_pairwise.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests copying build/lib.linux-aarch64-2.7/sklearn/metrics/tests/test_regression.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests copying build/lib.linux-aarch64-2.7/sklearn/metrics/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests copying build/lib.linux-aarch64-2.7/sklearn/metrics/tests/test_classification.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests copying build/lib.linux-aarch64-2.7/sklearn/metrics/tests/test_ranking.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests copying build/lib.linux-aarch64-2.7/sklearn/metrics/tests/test_score_objects.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests copying build/lib.linux-aarch64-2.7/sklearn/metrics/tests/test_common.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster copying build/lib.linux-aarch64-2.7/sklearn/metrics/cluster/unsupervised.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster copying build/lib.linux-aarch64-2.7/sklearn/metrics/cluster/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster copying build/lib.linux-aarch64-2.7/sklearn/metrics/cluster/supervised.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster copying build/lib.linux-aarch64-2.7/sklearn/metrics/cluster/expected_mutual_info_fast.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests copying build/lib.linux-aarch64-2.7/sklearn/metrics/cluster/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests copying build/lib.linux-aarch64-2.7/sklearn/metrics/cluster/tests/test_bicluster.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests copying build/lib.linux-aarch64-2.7/sklearn/metrics/cluster/tests/test_unsupervised.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests copying build/lib.linux-aarch64-2.7/sklearn/metrics/cluster/tests/test_supervised.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests copying build/lib.linux-aarch64-2.7/sklearn/metrics/cluster/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster copying build/lib.linux-aarch64-2.7/sklearn/metrics/cluster/bicluster.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster copying build/lib.linux-aarch64-2.7/sklearn/metrics/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised copying build/lib.linux-aarch64-2.7/sklearn/semi_supervised/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised copying build/lib.linux-aarch64-2.7/sklearn/semi_supervised/label_propagation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests copying build/lib.linux-aarch64-2.7/sklearn/semi_supervised/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests copying build/lib.linux-aarch64-2.7/sklearn/semi_supervised/tests/test_label_propagation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests copying build/lib.linux-aarch64-2.7/sklearn/naive_bayes.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-2.7/sklearn/linear_model/sag.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-2.7/sklearn/linear_model/ridge.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-2.7/sklearn/linear_model/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-2.7/sklearn/linear_model/passive_aggressive.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-2.7/sklearn/linear_model/stochastic_gradient.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-2.7/sklearn/linear_model/logistic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-2.7/sklearn/linear_model/sgd_fast.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-2.7/sklearn/linear_model/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-2.7/sklearn/linear_model/cd_fast.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-2.7/sklearn/linear_model/randomized_l1.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-2.7/sklearn/linear_model/perceptron.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-2.7/sklearn/linear_model/sag_fast.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-2.7/sklearn/linear_model/bayes.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-2.7/sklearn/linear_model/omp.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-2.7/sklearn/linear_model/coordinate_descent.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-2.7/sklearn/linear_model/ransac.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-2.7/sklearn/linear_model/tests/test_sag.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-2.7/sklearn/linear_model/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-2.7/sklearn/linear_model/tests/test_coordinate_descent.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-2.7/sklearn/linear_model/tests/test_omp.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-2.7/sklearn/linear_model/tests/test_ridge.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-2.7/sklearn/linear_model/tests/test_least_angle.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-2.7/sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-2.7/sklearn/linear_model/tests/test_ransac.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-2.7/sklearn/linear_model/tests/test_bayes.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-2.7/sklearn/linear_model/tests/test_theil_sen.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-2.7/sklearn/linear_model/tests/test_perceptron.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-2.7/sklearn/linear_model/tests/test_randomized_l1.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-2.7/sklearn/linear_model/tests/test_sgd.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-2.7/sklearn/linear_model/tests/test_base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-2.7/sklearn/linear_model/tests/test_logistic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-2.7/sklearn/linear_model/tests/test_huber.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-2.7/sklearn/linear_model/tests/test_passive_aggressive.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-2.7/sklearn/linear_model/least_angle.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-2.7/sklearn/linear_model/theil_sen.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-2.7/sklearn/linear_model/huber.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-2.7/sklearn/linear_model/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold copying build/lib.linux-aarch64-2.7/sklearn/manifold/mds.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold copying build/lib.linux-aarch64-2.7/sklearn/manifold/t_sne.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold copying build/lib.linux-aarch64-2.7/sklearn/manifold/spectral_embedding_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold copying build/lib.linux-aarch64-2.7/sklearn/manifold/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold copying build/lib.linux-aarch64-2.7/sklearn/manifold/locally_linear.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold copying build/lib.linux-aarch64-2.7/sklearn/manifold/_barnes_hut_tsne.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold copying build/lib.linux-aarch64-2.7/sklearn/manifold/isomap.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold copying build/lib.linux-aarch64-2.7/sklearn/manifold/_utils.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests copying build/lib.linux-aarch64-2.7/sklearn/manifold/tests/test_mds.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests copying build/lib.linux-aarch64-2.7/sklearn/manifold/tests/test_spectral_embedding.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests copying build/lib.linux-aarch64-2.7/sklearn/manifold/tests/test_t_sne.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests copying build/lib.linux-aarch64-2.7/sklearn/manifold/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests copying build/lib.linux-aarch64-2.7/sklearn/manifold/tests/test_isomap.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests copying build/lib.linux-aarch64-2.7/sklearn/manifold/tests/test_locally_linear.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests copying build/lib.linux-aarch64-2.7/sklearn/manifold/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals copying build/lib.linux-aarch64-2.7/sklearn/externals/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals copying build/lib.linux-aarch64-2.7/sklearn/externals/funcsigs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/joblib copying build/lib.linux-aarch64-2.7/sklearn/externals/joblib/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/joblib copying build/lib.linux-aarch64-2.7/sklearn/externals/test_externals_setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals copying build/lib.linux-aarch64-2.7/sklearn/externals/six.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals copying build/lib.linux-aarch64-2.7/sklearn/externals/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals copying build/lib.linux-aarch64-2.7/sklearn/learning_curve.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/_build_utils copying build/lib.linux-aarch64-2.7/sklearn/_build_utils/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/_build_utils copying build/lib.linux-aarch64-2.7/sklearn/kernel_ridge.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn copying build/lib.linux-aarch64-2.7/sklearn/dummy.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/deprecation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/seq_dataset.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/murmurhash.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/extmath.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/linear_assignment_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/arpack.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/metaestimators.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/_random.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/lgamma.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/stats.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/fast_dict.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/sparsefuncs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/testing.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/sparsefuncs_fast.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/mocking.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/class_weight.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/graph.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools copying build/lib.linux-aarch64-2.7/sklearn/utils/sparsetools/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/sparsetools/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/sparsetools/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools copying build/lib.linux-aarch64-2.7/sklearn/utils/bench.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/optimize.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/weight_vector.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/validation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/_logistic_sigmoid.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/fixes.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/estimator_checks.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_murmurhash.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_linear_assignment.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_fast_dict.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_seq_dataset.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_estimator_checks.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_graph.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_class_weight.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_multiclass.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_metaestimators.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_optimize.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_sparsefuncs.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_shortest_path.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_bench.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_deprecation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_extmath.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_validation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_stats.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_random.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_utils.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_fixes.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/tests/test_testing.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-2.7/sklearn/utils/graph_shortest_path.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/_scipy_sparse_lsqr_backport.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/multiclass.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/arrayfuncs.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/utils/random.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils copying build/lib.linux-aarch64-2.7/sklearn/_isotonic.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection copying build/lib.linux-aarch64-2.7/sklearn/model_selection/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests copying build/lib.linux-aarch64-2.7/sklearn/model_selection/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests copying build/lib.linux-aarch64-2.7/sklearn/model_selection/tests/common.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests copying build/lib.linux-aarch64-2.7/sklearn/model_selection/tests/test_search.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests copying build/lib.linux-aarch64-2.7/sklearn/model_selection/tests/test_validation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests copying build/lib.linux-aarch64-2.7/sklearn/model_selection/tests/test_split.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests copying build/lib.linux-aarch64-2.7/sklearn/model_selection/_split.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection copying build/lib.linux-aarch64-2.7/sklearn/model_selection/_validation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection copying build/lib.linux-aarch64-2.7/sklearn/model_selection/_search.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection copying build/lib.linux-aarch64-2.7/sklearn/discriminant_analysis.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree copying build/lib.linux-aarch64-2.7/sklearn/tree/_tree.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree copying build/lib.linux-aarch64-2.7/sklearn/tree/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree copying build/lib.linux-aarch64-2.7/sklearn/tree/_splitter.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree copying build/lib.linux-aarch64-2.7/sklearn/tree/_utils.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree copying build/lib.linux-aarch64-2.7/sklearn/tree/export.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree copying build/lib.linux-aarch64-2.7/sklearn/tree/tree.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree copying build/lib.linux-aarch64-2.7/sklearn/tree/_criterion.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests copying build/lib.linux-aarch64-2.7/sklearn/tree/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests copying build/lib.linux-aarch64-2.7/sklearn/tree/tests/test_tree.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests copying build/lib.linux-aarch64-2.7/sklearn/tree/tests/test_export.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests copying build/lib.linux-aarch64-2.7/sklearn/tree/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_multioutput.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_dummy.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_isotonic.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_grid_search.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_config.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_multiclass.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_metaestimators.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_kernel_approximation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_kernel_ridge.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_calibration.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_docstring_parameters.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_naive_bayes.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_init.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_cross_validation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_pipeline.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_common.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_check_build.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_learning_curve.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_discriminant_analysis.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/tests/test_random_projection.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests copying build/lib.linux-aarch64-2.7/sklearn/grid_search.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-2.7/sklearn/cluster/dbscan_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-2.7/sklearn/cluster/birch.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-2.7/sklearn/cluster/mean_shift_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-2.7/sklearn/cluster/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-2.7/sklearn/cluster/_hierarchical.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-2.7/sklearn/cluster/_k_means_elkan.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-2.7/sklearn/cluster/_feature_agglomeration.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-2.7/sklearn/cluster/_k_means.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-2.7/sklearn/cluster/hierarchical.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-2.7/sklearn/cluster/spectral.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-2.7/sklearn/cluster/_dbscan_inner.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-2.7/sklearn/cluster/tests/test_dbscan.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-2.7/sklearn/cluster/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-2.7/sklearn/cluster/tests/common.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-2.7/sklearn/cluster/tests/test_bicluster.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-2.7/sklearn/cluster/tests/test_spectral.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-2.7/sklearn/cluster/tests/test_k_means.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-2.7/sklearn/cluster/tests/test_mean_shift.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-2.7/sklearn/cluster/tests/test_affinity_propagation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-2.7/sklearn/cluster/tests/test_birch.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-2.7/sklearn/cluster/tests/test_hierarchical.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-2.7/sklearn/cluster/k_means_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-2.7/sklearn/cluster/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-2.7/sklearn/cluster/bicluster.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-2.7/sklearn/cluster/affinity_propagation_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-2.7/sklearn/kernel_approximation.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn copying build/lib.linux-aarch64-2.7/sklearn/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-2.7/sklearn/decomposition/pca.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-2.7/sklearn/decomposition/dict_learning.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-2.7/sklearn/decomposition/factor_analysis.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-2.7/sklearn/decomposition/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-2.7/sklearn/decomposition/truncated_svd.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-2.7/sklearn/decomposition/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-2.7/sklearn/decomposition/fastica_.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-2.7/sklearn/decomposition/_online_lda.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-2.7/sklearn/decomposition/sparse_pca.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-2.7/sklearn/decomposition/online_lda.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-2.7/sklearn/decomposition/incremental_pca.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-2.7/sklearn/decomposition/nmf.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-2.7/sklearn/decomposition/tests/test_fastica.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-2.7/sklearn/decomposition/tests/test_kernel_pca.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-2.7/sklearn/decomposition/tests/test_dict_learning.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-2.7/sklearn/decomposition/tests/test_sparse_pca.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-2.7/sklearn/decomposition/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-2.7/sklearn/decomposition/tests/test_truncated_svd.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-2.7/sklearn/decomposition/tests/test_nmf.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-2.7/sklearn/decomposition/tests/test_online_lda.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-2.7/sklearn/decomposition/tests/test_pca.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-2.7/sklearn/decomposition/tests/test_incremental_pca.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-2.7/sklearn/decomposition/tests/test_factor_analysis.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-2.7/sklearn/decomposition/kernel_pca.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-2.7/sklearn/decomposition/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-2.7/sklearn/decomposition/cdnmf_fast.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-2.7/sklearn/multiclass.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn copying build/lib.linux-aarch64-2.7/sklearn/exceptions.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction copying build/lib.linux-aarch64-2.7/sklearn/feature_extraction/hashing.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction copying build/lib.linux-aarch64-2.7/sklearn/feature_extraction/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction copying build/lib.linux-aarch64-2.7/sklearn/feature_extraction/image.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction copying build/lib.linux-aarch64-2.7/sklearn/feature_extraction/_hashing.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction copying build/lib.linux-aarch64-2.7/sklearn/feature_extraction/dict_vectorizer.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction copying build/lib.linux-aarch64-2.7/sklearn/feature_extraction/stop_words.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-aarch64-2.7/sklearn/feature_extraction/tests/test_dict_vectorizer.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-aarch64-2.7/sklearn/feature_extraction/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-aarch64-2.7/sklearn/feature_extraction/tests/test_text.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-aarch64-2.7/sklearn/feature_extraction/tests/test_feature_hasher.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-aarch64-2.7/sklearn/feature_extraction/tests/test_image.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-aarch64-2.7/sklearn/feature_extraction/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction copying build/lib.linux-aarch64-2.7/sklearn/feature_extraction/text.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm copying build/lib.linux-aarch64-2.7/sklearn/svm/classes.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm copying build/lib.linux-aarch64-2.7/sklearn/svm/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm copying build/lib.linux-aarch64-2.7/sklearn/svm/liblinear.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm copying build/lib.linux-aarch64-2.7/sklearn/svm/base.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm copying build/lib.linux-aarch64-2.7/sklearn/svm/bounds.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm copying build/lib.linux-aarch64-2.7/sklearn/svm/libsvm.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests copying build/lib.linux-aarch64-2.7/sklearn/svm/tests/__init__.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests copying build/lib.linux-aarch64-2.7/sklearn/svm/tests/test_sparse.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests copying build/lib.linux-aarch64-2.7/sklearn/svm/tests/test_bounds.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests copying build/lib.linux-aarch64-2.7/sklearn/svm/tests/test_svm.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests copying build/lib.linux-aarch64-2.7/sklearn/svm/libsvm_sparse.so -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm copying build/lib.linux-aarch64-2.7/sklearn/svm/setup.py -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/gradient_boosting.py to gradient_boosting.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/iforest.py to iforest.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/bagging.py to bagging.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/base.py to base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/partial_dependence.py to partial_dependence.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/forest.py to forest.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/weight_boosting.py to weight_boosting.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/voting_classifier.py to voting_classifier.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_forest.py to test_forest.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_partial_dependence.py to test_partial_dependence.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_iforest.py to test_iforest.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_bagging.py to test_bagging.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_weight_boosting.py to test_weight_boosting.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_gradient_boosting.py to test_gradient_boosting.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py to test_gradient_boosting_loss_functions.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_voting_classifier.py to test_voting_classifier.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_base.py to test_base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/svmlight_format.py to svmlight_format.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/olivetti_faces.py to olivetti_faces.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/lfw.py to lfw.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/kddcup99.py to kddcup99.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/mlcomp.py to mlcomp.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/california_housing.py to california_housing.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/species_distributions.py to species_distributions.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/base.py to base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/twenty_newsgroups.py to twenty_newsgroups.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/covtype.py to covtype.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/rcv1.py to rcv1.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/mldata.py to mldata.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_samples_generator.py to test_samples_generator.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_lfw.py to test_lfw.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_covtype.py to test_covtype.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_mldata.py to test_mldata.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_svmlight_format.py to test_svmlight_format.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py to test_base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_20news.py to test_20news.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_rcv1.py to test_rcv1.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_kddcup99.py to test_kddcup99.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/samples_generator.py to samples_generator.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/isotonic.py to isotonic.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/robust_covariance.py to robust_covariance.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/shrunk_covariance_.py to shrunk_covariance_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/outlier_detection.py to outlier_detection.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/empirical_covariance_.py to empirical_covariance_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py to graph_lasso_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests/test_graph_lasso.py to test_graph_lasso.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests/test_robust_covariance.py to test_robust_covariance.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests/test_covariance.py to test_covariance.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py to dpgmm.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/base.py to base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py to gmm.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/bayesian_mixture.py to bayesian_mixture.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gaussian_mixture.py to gaussian_mixture.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/test_gmm.py to test_gmm.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/test_dpgmm.py to test_dpgmm.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/test_gaussian_mixture.py to test_gaussian_mixture.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/test_bayesian_mixture.py to test_bayesian_mixture.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/label.py to label.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/_function_transformer.py to _function_transformer.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/imputation.py to imputation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/test_function_transformer.py to test_function_transformer.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/test_imputation.py to test_imputation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/test_label.py to test_label.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/test_data.py to test_data.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/data.py to data.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py to pipeline.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py to multilayer_perceptron.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/_base.py to _base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/_stochastic_optimizers.py to _stochastic_optimizers.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/rbm.py to rbm.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests/test_rbm.py to test_rbm.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests/test_stochastic_optimizers.py to test_stochastic_optimizers.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests/test_mlp.py to test_mlp.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py to random_projection.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/univariate_selection.py to univariate_selection.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/mutual_info_.py to mutual_info_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/variance_threshold.py to variance_threshold.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/from_model.py to from_model.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/base.py to base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/rfe.py to rfe.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_rfe.py to test_rfe.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_feature_select.py to test_feature_select.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_chi2.py to test_chi2.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_from_model.py to test_from_model.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_base.py to test_base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_variance_threshold.py to test_variance_threshold.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_mutual_info.py to test_mutual_info.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py to kernels.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/correlation_models.py to correlation_models.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/regression_models.py to regression_models.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gaussian_process.py to gaussian_process.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py to gpc.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpr.py to gpr.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/test_gpr.py to test_gpr.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/test_gaussian_process.py to test_gaussian_process.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/test_gpc.py to test_gpc.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/test_kernels.py to test_kernels.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_validation.py to cross_validation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/base.py to base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/classification.py to classification.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/unsupervised.py to unsupervised.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/approximate.py to approximate.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/base.py to base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/nearest_centroid.py to nearest_centroid.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/graph.py to graph.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/kde.py to kde.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/regression.py to regression.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/lof.py to lof.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_neighbors.py to test_neighbors.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kde.py to test_kde.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kd_tree.py to test_kd_tree.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_nearest_centroid.py to test_nearest_centroid.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_dist_metrics.py to test_dist_metrics.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_quad_tree.py to test_quad_tree.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_approximate.py to test_approximate.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_lof.py to test_lof.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_ball_tree.py to test_ball_tree.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/multioutput.py to multioutput.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py to pls_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/cca_.py to cca_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests/test_pls.py to test_pls.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/calibration.py to calibration.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/classification.py to classification.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/base.py to base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/ranking.py to ranking.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/regression.py to regression.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py to pairwise.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/scorer.py to scorer.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_pairwise.py to test_pairwise.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_regression.py to test_regression.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_classification.py to test_classification.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_ranking.py to test_ranking.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_score_objects.py to test_score_objects.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py to test_common.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/unsupervised.py to unsupervised.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/supervised.py to supervised.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_bicluster.py to test_bicluster.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_unsupervised.py to test_unsupervised.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py to test_supervised.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster.py to bicluster.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py to label_propagation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests/test_label_propagation.py to test_label_propagation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py to naive_bayes.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/sag.py to sag.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/ridge.py to ridge.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/passive_aggressive.py to passive_aggressive.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py to stochastic_gradient.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/logistic.py to logistic.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py to base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/randomized_l1.py to randomized_l1.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/perceptron.py to perceptron.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/bayes.py to bayes.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py to omp.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py to coordinate_descent.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/ransac.py to ransac.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_sag.py to test_sag.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_coordinate_descent.py to test_coordinate_descent.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_omp.py to test_omp.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_ridge.py to test_ridge.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_least_angle.py to test_least_angle.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_sparse_coordinate_descent.py to test_sparse_coordinate_descent.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_ransac.py to test_ransac.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_bayes.py to test_bayes.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_theil_sen.py to test_theil_sen.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_perceptron.py to test_perceptron.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_randomized_l1.py to test_randomized_l1.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_sgd.py to test_sgd.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_base.py to test_base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_logistic.py to test_logistic.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_huber.py to test_huber.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_passive_aggressive.py to test_passive_aggressive.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/least_angle.py to least_angle.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py to theil_sen.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/huber.py to huber.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/mds.py to mds.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/t_sne.py to t_sne.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py to spectral_embedding_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/locally_linear.py to locally_linear.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/isomap.py to isomap.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_mds.py to test_mds.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_spectral_embedding.py to test_spectral_embedding.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_t_sne.py to test_t_sne.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_isomap.py to test_isomap.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_locally_linear.py to test_locally_linear.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/funcsigs.py to funcsigs.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/joblib/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/test_externals_setup.py to test_externals_setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/six.py to six.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/learning_curve.py to learning_curve.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/_build_utils/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_ridge.py to kernel_ridge.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/dummy.py to dummy.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py to deprecation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py to extmath.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/linear_assignment_.py to linear_assignment_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/arpack.py to arpack.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/metaestimators.py to metaestimators.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/stats.py to stats.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsefuncs.py to sparsefuncs.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/testing.py to testing.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/mocking.py to mocking.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/class_weight.py to class_weight.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/graph.py to graph.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/bench.py to bench.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/optimize.py to optimize.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py to validation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/fixes.py to fixes.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py to estimator_checks.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_murmurhash.py to test_murmurhash.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_linear_assignment.py to test_linear_assignment.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_fast_dict.py to test_fast_dict.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_seq_dataset.py to test_seq_dataset.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_estimator_checks.py to test_estimator_checks.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_graph.py to test_graph.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_class_weight.py to test_class_weight.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_multiclass.py to test_multiclass.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_metaestimators.py to test_metaestimators.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_optimize.py to test_optimize.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_sparsefuncs.py to test_sparsefuncs.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_shortest_path.py to test_shortest_path.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_bench.py to test_bench.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_deprecation.py to test_deprecation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_extmath.py to test_extmath.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_validation.py to test_validation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_stats.py to test_stats.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_random.py to test_random.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_utils.py to test_utils.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_fixes.py to test_fixes.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_testing.py to test_testing.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/_scipy_sparse_lsqr_backport.py to _scipy_sparse_lsqr_backport.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/multiclass.py to multiclass.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/random.py to random.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests/common.py to common.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests/test_search.py to test_search.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests/test_validation.py to test_validation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests/test_split.py to test_split.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_split.py to _split.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_validation.py to _validation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_search.py to _search.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py to discriminant_analysis.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/export.py to export.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py to tree.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests/test_tree.py to test_tree.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests/test_export.py to test_export.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_multioutput.py to test_multioutput.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_dummy.py to test_dummy.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_isotonic.py to test_isotonic.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_grid_search.py to test_grid_search.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_config.py to test_config.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_multiclass.py to test_multiclass.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_metaestimators.py to test_metaestimators.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_kernel_approximation.py to test_kernel_approximation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_kernel_ridge.py to test_kernel_ridge.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_calibration.py to test_calibration.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_docstring_parameters.py to test_docstring_parameters.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_naive_bayes.py to test_naive_bayes.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_init.py to test_init.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_cross_validation.py to test_cross_validation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_pipeline.py to test_pipeline.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py to test_common.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_check_build.py to test_check_build.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_learning_curve.py to test_learning_curve.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_discriminant_analysis.py to test_discriminant_analysis.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_base.py to test_base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_random_projection.py to test_random_projection.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/grid_search.py to grid_search.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/dbscan_.py to dbscan_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py to birch.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/mean_shift_.py to mean_shift_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/_feature_agglomeration.py to _feature_agglomeration.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/hierarchical.py to hierarchical.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/spectral.py to spectral.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_dbscan.py to test_dbscan.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/common.py to common.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_bicluster.py to test_bicluster.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_spectral.py to test_spectral.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_k_means.py to test_k_means.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_mean_shift.py to test_mean_shift.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_affinity_propagation.py to test_affinity_propagation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_birch.py to test_birch.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_hierarchical.py to test_hierarchical.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py to k_means_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster.py to bicluster.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/affinity_propagation_.py to affinity_propagation_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py to kernel_approximation.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/pca.py to pca.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py to dict_learning.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/factor_analysis.py to factor_analysis.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/truncated_svd.py to truncated_svd.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/base.py to base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py to fastica_.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/sparse_pca.py to sparse_pca.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/online_lda.py to online_lda.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/incremental_pca.py to incremental_pca.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py to nmf.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_fastica.py to test_fastica.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_kernel_pca.py to test_kernel_pca.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_dict_learning.py to test_dict_learning.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_sparse_pca.py to test_sparse_pca.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_truncated_svd.py to test_truncated_svd.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_nmf.py to test_nmf.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_online_lda.py to test_online_lda.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_pca.py to test_pca.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_incremental_pca.py to test_incremental_pca.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_factor_analysis.py to test_factor_analysis.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/kernel_pca.py to kernel_pca.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/multiclass.py to multiclass.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/exceptions.py to exceptions.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/hashing.py to hashing.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/image.py to image.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/dict_vectorizer.py to dict_vectorizer.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/stop_words.py to stop_words.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_dict_vectorizer.py to test_dict_vectorizer.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_text.py to test_text.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_feature_hasher.py to test_feature_hasher.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_image.py to test_image.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/setup.py to setup.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/text.py to text.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/classes.py to classes.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/base.py to base.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/bounds.py to bounds.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests/__init__.py to __init__.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests/test_sparse.py to test_sparse.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests/test_bounds.py to test_bounds.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests/test_svm.py to test_svm.pyc byte-compiling /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/setup.py to setup.pyc running install_data creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data copying sklearn/datasets/tests/data/svmlight_invalid_order.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/ copying sklearn/datasets/tests/data/svmlight_invalid.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/ copying sklearn/datasets/tests/data/svmlight_multilabel.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/ copying sklearn/datasets/tests/data/svmlight_classification.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/ creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data copying sklearn/datasets/data/wine_data.csv -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/diabetes_target.csv.gz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/boston_house_prices.csv -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/diabetes_data.csv.gz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/iris.csv -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/digits.csv.gz -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/linnerud_physiological.csv -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/breast_cancer.csv -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/linnerud_exercise.csv -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/ creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/images copying sklearn/datasets/images/flower.jpg -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/images/ copying sklearn/datasets/images/README.txt -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/images/ copying sklearn/datasets/images/china.jpg -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/images/ creating /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr copying sklearn/datasets/descr/wine_data.rst -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/digits.rst -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/linnerud.rst -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/breast_cancer.rst -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/iris.rst -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/boston_house_prices.rst -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/diabetes.rst -> /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/ running install_egg_info Writing /<>/debian/tmp/usr/lib/python2.7/dist-packages/scikit_learn-0.19.1.egg-info running install_clib echo "3.6" | grep -q '^3' && PY=3 || PY= ; \ CYTHONVER=$(dpkg -l cython$PY 2>/dev/null | awk '/^ii/{print $3;}' || echo 0); \ dpkg --compare-versions "$CYTHONVER" lt "0.24" && { \ echo "I: Using pre-Cython-ed files for Python 3.6"; \ touch PKG-INFO; \ cd debian/cythonized-files$PY/ ; \ find . -regex '.*\.c\(\|pp\)' | while read f; do cp $f ../../$f; done; } || : dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! python3.6 setup.py install --install-layout=deb --root=/<>/debian/tmp dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! blas_opt_info: blas_mkl_info: libraries mkl_rt not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE blis_info: libraries blis not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE openblas_info: libraries openblas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE atlas_3_10_blas_threads_info: Setting PTATLAS=ATLAS libraries tatlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu/atlas', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE atlas_3_10_blas_info: libraries satlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu/atlas', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE atlas_blas_threads_info: Setting PTATLAS=ATLAS libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu/atlas', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE atlas_blas_info: libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu/atlas', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE blas_info: libraries blas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/aarch64-linux-gnu'] NOT AVAILABLE blas_src_info: NOT AVAILABLE NOT AVAILABLE sklearn/manifold/_barnes_hut_tsne.pyx: cannot find cimported module 'sklearn.neighbors' Warning: Extension name 'sklearn.metrics/cluster.expected_mutual_info_fast' does not match fully qualified name 'sklearn.metrics.cluster.expected_mutual_info_fast' of 'sklearn/metrics/cluster/expected_mutual_info_fast.pyx' running install running build running config_cc unifing config_cc, config, build_clib, build_ext, build commands --compiler options running config_fc unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options running build_src build_src building library "libsvm-skl" sources building library "cblas" sources building extension "sklearn.__check_build._check_build" sources building extension "sklearn.cluster._dbscan_inner" sources building extension "sklearn.cluster._hierarchical" sources building extension "sklearn.cluster._k_means_elkan" sources building extension "sklearn.cluster._k_means" sources building extension "sklearn.datasets._svmlight_format" sources building extension "sklearn.decomposition._online_lda" sources building extension "sklearn.decomposition.cdnmf_fast" sources building extension "sklearn.ensemble._gradient_boosting" sources building extension "sklearn.feature_extraction._hashing" sources building extension "sklearn.manifold._utils" sources building extension "sklearn.manifold._barnes_hut_tsne" sources building extension "sklearn.metrics.pairwise_fast" sources building extension "sklearn.metrics/cluster.expected_mutual_info_fast" sources building extension "sklearn.neighbors.ball_tree" sources building extension "sklearn.neighbors.kd_tree" sources building extension "sklearn.neighbors.dist_metrics" sources building extension "sklearn.neighbors.typedefs" sources building extension "sklearn.neighbors.quad_tree" sources building extension "sklearn.tree._tree" sources building extension "sklearn.tree._splitter" sources building extension "sklearn.tree._criterion" sources building extension "sklearn.tree._utils" sources building extension "sklearn.svm.libsvm" sources building extension "sklearn.svm.liblinear" sources building extension "sklearn.svm.libsvm_sparse" sources building extension "sklearn._isotonic" sources building extension "sklearn.linear_model.cd_fast" sources building extension "sklearn.linear_model.sgd_fast" sources building extension "sklearn.linear_model.sag_fast" sources building extension "sklearn.utils.sparsefuncs_fast" sources building extension "sklearn.utils.arrayfuncs" sources building extension "sklearn.utils.murmurhash" sources building extension "sklearn.utils.lgamma" sources building extension "sklearn.utils.graph_shortest_path" sources building extension "sklearn.utils.fast_dict" sources building extension "sklearn.utils.seq_dataset" sources building extension "sklearn.utils.weight_vector" sources building extension "sklearn.utils._random" sources building extension "sklearn.utils._logistic_sigmoid" sources building data_files sources build_src: building npy-pkg config files running build_py creating build/lib.linux-aarch64-3.6 creating build/lib.linux-aarch64-3.6/sklearn copying sklearn/isotonic.py -> build/lib.linux-aarch64-3.6/sklearn copying sklearn/__init__.py -> build/lib.linux-aarch64-3.6/sklearn copying sklearn/pipeline.py -> build/lib.linux-aarch64-3.6/sklearn copying sklearn/random_projection.py -> build/lib.linux-aarch64-3.6/sklearn copying sklearn/cross_validation.py -> build/lib.linux-aarch64-3.6/sklearn copying sklearn/base.py -> build/lib.linux-aarch64-3.6/sklearn copying sklearn/multioutput.py -> build/lib.linux-aarch64-3.6/sklearn copying sklearn/calibration.py -> build/lib.linux-aarch64-3.6/sklearn copying sklearn/naive_bayes.py -> build/lib.linux-aarch64-3.6/sklearn copying sklearn/learning_curve.py -> build/lib.linux-aarch64-3.6/sklearn copying sklearn/kernel_ridge.py -> build/lib.linux-aarch64-3.6/sklearn copying sklearn/dummy.py -> build/lib.linux-aarch64-3.6/sklearn copying sklearn/discriminant_analysis.py -> build/lib.linux-aarch64-3.6/sklearn copying sklearn/grid_search.py -> build/lib.linux-aarch64-3.6/sklearn copying sklearn/kernel_approximation.py -> build/lib.linux-aarch64-3.6/sklearn copying sklearn/setup.py -> build/lib.linux-aarch64-3.6/sklearn copying sklearn/multiclass.py -> build/lib.linux-aarch64-3.6/sklearn copying sklearn/exceptions.py -> build/lib.linux-aarch64-3.6/sklearn creating build/lib.linux-aarch64-3.6/sklearn/__check_build copying sklearn/__check_build/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/__check_build copying sklearn/__check_build/setup.py -> build/lib.linux-aarch64-3.6/sklearn/__check_build creating build/lib.linux-aarch64-3.6/sklearn/_build_utils copying sklearn/_build_utils/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/_build_utils creating build/lib.linux-aarch64-3.6/sklearn/covariance copying sklearn/covariance/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/covariance copying sklearn/covariance/robust_covariance.py -> build/lib.linux-aarch64-3.6/sklearn/covariance copying sklearn/covariance/shrunk_covariance_.py -> build/lib.linux-aarch64-3.6/sklearn/covariance copying sklearn/covariance/outlier_detection.py -> build/lib.linux-aarch64-3.6/sklearn/covariance copying sklearn/covariance/empirical_covariance_.py -> build/lib.linux-aarch64-3.6/sklearn/covariance copying sklearn/covariance/graph_lasso_.py -> build/lib.linux-aarch64-3.6/sklearn/covariance creating build/lib.linux-aarch64-3.6/sklearn/covariance/tests copying sklearn/covariance/tests/test_graph_lasso.py -> build/lib.linux-aarch64-3.6/sklearn/covariance/tests copying sklearn/covariance/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/covariance/tests copying sklearn/covariance/tests/test_robust_covariance.py -> build/lib.linux-aarch64-3.6/sklearn/covariance/tests copying sklearn/covariance/tests/test_covariance.py -> build/lib.linux-aarch64-3.6/sklearn/covariance/tests creating build/lib.linux-aarch64-3.6/sklearn/cross_decomposition copying sklearn/cross_decomposition/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/cross_decomposition copying sklearn/cross_decomposition/pls_.py -> build/lib.linux-aarch64-3.6/sklearn/cross_decomposition copying sklearn/cross_decomposition/cca_.py -> build/lib.linux-aarch64-3.6/sklearn/cross_decomposition creating build/lib.linux-aarch64-3.6/sklearn/cross_decomposition/tests copying sklearn/cross_decomposition/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/cross_decomposition/tests copying sklearn/cross_decomposition/tests/test_pls.py -> build/lib.linux-aarch64-3.6/sklearn/cross_decomposition/tests creating build/lib.linux-aarch64-3.6/sklearn/feature_selection copying sklearn/feature_selection/univariate_selection.py -> build/lib.linux-aarch64-3.6/sklearn/feature_selection copying sklearn/feature_selection/mutual_info_.py -> build/lib.linux-aarch64-3.6/sklearn/feature_selection copying sklearn/feature_selection/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/feature_selection copying sklearn/feature_selection/variance_threshold.py -> build/lib.linux-aarch64-3.6/sklearn/feature_selection copying sklearn/feature_selection/from_model.py -> build/lib.linux-aarch64-3.6/sklearn/feature_selection copying sklearn/feature_selection/base.py -> build/lib.linux-aarch64-3.6/sklearn/feature_selection copying sklearn/feature_selection/rfe.py -> build/lib.linux-aarch64-3.6/sklearn/feature_selection creating build/lib.linux-aarch64-3.6/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_rfe.py -> build/lib.linux-aarch64-3.6/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_feature_select.py -> build/lib.linux-aarch64-3.6/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_chi2.py -> build/lib.linux-aarch64-3.6/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_from_model.py -> build/lib.linux-aarch64-3.6/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_base.py -> build/lib.linux-aarch64-3.6/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_variance_threshold.py -> build/lib.linux-aarch64-3.6/sklearn/feature_selection/tests copying sklearn/feature_selection/tests/test_mutual_info.py -> build/lib.linux-aarch64-3.6/sklearn/feature_selection/tests creating build/lib.linux-aarch64-3.6/sklearn/gaussian_process copying sklearn/gaussian_process/kernels.py -> build/lib.linux-aarch64-3.6/sklearn/gaussian_process copying sklearn/gaussian_process/correlation_models.py -> build/lib.linux-aarch64-3.6/sklearn/gaussian_process copying sklearn/gaussian_process/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/gaussian_process copying sklearn/gaussian_process/regression_models.py -> build/lib.linux-aarch64-3.6/sklearn/gaussian_process copying sklearn/gaussian_process/gaussian_process.py -> build/lib.linux-aarch64-3.6/sklearn/gaussian_process copying sklearn/gaussian_process/gpc.py -> build/lib.linux-aarch64-3.6/sklearn/gaussian_process copying sklearn/gaussian_process/gpr.py -> build/lib.linux-aarch64-3.6/sklearn/gaussian_process creating build/lib.linux-aarch64-3.6/sklearn/gaussian_process/tests copying sklearn/gaussian_process/tests/test_gpr.py -> build/lib.linux-aarch64-3.6/sklearn/gaussian_process/tests copying sklearn/gaussian_process/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/gaussian_process/tests copying sklearn/gaussian_process/tests/test_gaussian_process.py -> build/lib.linux-aarch64-3.6/sklearn/gaussian_process/tests copying sklearn/gaussian_process/tests/test_gpc.py -> build/lib.linux-aarch64-3.6/sklearn/gaussian_process/tests copying sklearn/gaussian_process/tests/test_kernels.py -> build/lib.linux-aarch64-3.6/sklearn/gaussian_process/tests creating build/lib.linux-aarch64-3.6/sklearn/mixture copying sklearn/mixture/dpgmm.py -> build/lib.linux-aarch64-3.6/sklearn/mixture copying sklearn/mixture/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/mixture copying sklearn/mixture/base.py -> build/lib.linux-aarch64-3.6/sklearn/mixture copying sklearn/mixture/gmm.py -> build/lib.linux-aarch64-3.6/sklearn/mixture copying sklearn/mixture/bayesian_mixture.py -> build/lib.linux-aarch64-3.6/sklearn/mixture copying sklearn/mixture/gaussian_mixture.py -> build/lib.linux-aarch64-3.6/sklearn/mixture creating build/lib.linux-aarch64-3.6/sklearn/mixture/tests copying sklearn/mixture/tests/test_gmm.py -> build/lib.linux-aarch64-3.6/sklearn/mixture/tests copying sklearn/mixture/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/mixture/tests copying sklearn/mixture/tests/test_dpgmm.py -> build/lib.linux-aarch64-3.6/sklearn/mixture/tests copying sklearn/mixture/tests/test_gaussian_mixture.py -> build/lib.linux-aarch64-3.6/sklearn/mixture/tests copying sklearn/mixture/tests/test_bayesian_mixture.py -> build/lib.linux-aarch64-3.6/sklearn/mixture/tests creating build/lib.linux-aarch64-3.6/sklearn/model_selection copying sklearn/model_selection/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/model_selection copying sklearn/model_selection/_split.py -> build/lib.linux-aarch64-3.6/sklearn/model_selection copying sklearn/model_selection/_validation.py -> build/lib.linux-aarch64-3.6/sklearn/model_selection copying sklearn/model_selection/_search.py -> build/lib.linux-aarch64-3.6/sklearn/model_selection creating build/lib.linux-aarch64-3.6/sklearn/model_selection/tests copying sklearn/model_selection/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/model_selection/tests copying sklearn/model_selection/tests/common.py -> build/lib.linux-aarch64-3.6/sklearn/model_selection/tests copying sklearn/model_selection/tests/test_search.py -> build/lib.linux-aarch64-3.6/sklearn/model_selection/tests copying sklearn/model_selection/tests/test_validation.py -> build/lib.linux-aarch64-3.6/sklearn/model_selection/tests copying sklearn/model_selection/tests/test_split.py -> build/lib.linux-aarch64-3.6/sklearn/model_selection/tests creating build/lib.linux-aarch64-3.6/sklearn/neural_network copying sklearn/neural_network/multilayer_perceptron.py -> build/lib.linux-aarch64-3.6/sklearn/neural_network copying sklearn/neural_network/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/neural_network copying sklearn/neural_network/_base.py -> build/lib.linux-aarch64-3.6/sklearn/neural_network copying sklearn/neural_network/_stochastic_optimizers.py -> build/lib.linux-aarch64-3.6/sklearn/neural_network copying sklearn/neural_network/rbm.py -> build/lib.linux-aarch64-3.6/sklearn/neural_network creating build/lib.linux-aarch64-3.6/sklearn/neural_network/tests copying sklearn/neural_network/tests/test_rbm.py -> build/lib.linux-aarch64-3.6/sklearn/neural_network/tests copying sklearn/neural_network/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/neural_network/tests copying sklearn/neural_network/tests/test_stochastic_optimizers.py -> build/lib.linux-aarch64-3.6/sklearn/neural_network/tests copying sklearn/neural_network/tests/test_mlp.py -> build/lib.linux-aarch64-3.6/sklearn/neural_network/tests creating build/lib.linux-aarch64-3.6/sklearn/preprocessing copying sklearn/preprocessing/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/preprocessing copying sklearn/preprocessing/label.py -> build/lib.linux-aarch64-3.6/sklearn/preprocessing copying sklearn/preprocessing/_function_transformer.py -> build/lib.linux-aarch64-3.6/sklearn/preprocessing copying sklearn/preprocessing/imputation.py -> build/lib.linux-aarch64-3.6/sklearn/preprocessing copying sklearn/preprocessing/data.py -> build/lib.linux-aarch64-3.6/sklearn/preprocessing creating build/lib.linux-aarch64-3.6/sklearn/preprocessing/tests copying sklearn/preprocessing/tests/test_function_transformer.py -> build/lib.linux-aarch64-3.6/sklearn/preprocessing/tests copying sklearn/preprocessing/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/preprocessing/tests copying sklearn/preprocessing/tests/test_imputation.py -> build/lib.linux-aarch64-3.6/sklearn/preprocessing/tests copying sklearn/preprocessing/tests/test_label.py -> build/lib.linux-aarch64-3.6/sklearn/preprocessing/tests copying sklearn/preprocessing/tests/test_data.py -> build/lib.linux-aarch64-3.6/sklearn/preprocessing/tests creating build/lib.linux-aarch64-3.6/sklearn/semi_supervised copying sklearn/semi_supervised/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/semi_supervised copying sklearn/semi_supervised/label_propagation.py -> build/lib.linux-aarch64-3.6/sklearn/semi_supervised creating build/lib.linux-aarch64-3.6/sklearn/semi_supervised/tests copying sklearn/semi_supervised/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/semi_supervised/tests copying sklearn/semi_supervised/tests/test_label_propagation.py -> build/lib.linux-aarch64-3.6/sklearn/semi_supervised/tests creating build/lib.linux-aarch64-3.6/sklearn/cluster copying sklearn/cluster/dbscan_.py -> build/lib.linux-aarch64-3.6/sklearn/cluster copying sklearn/cluster/birch.py -> build/lib.linux-aarch64-3.6/sklearn/cluster copying sklearn/cluster/mean_shift_.py -> build/lib.linux-aarch64-3.6/sklearn/cluster copying sklearn/cluster/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/cluster copying sklearn/cluster/_feature_agglomeration.py -> build/lib.linux-aarch64-3.6/sklearn/cluster copying sklearn/cluster/hierarchical.py -> build/lib.linux-aarch64-3.6/sklearn/cluster copying sklearn/cluster/spectral.py -> build/lib.linux-aarch64-3.6/sklearn/cluster copying sklearn/cluster/k_means_.py -> build/lib.linux-aarch64-3.6/sklearn/cluster copying sklearn/cluster/setup.py -> build/lib.linux-aarch64-3.6/sklearn/cluster copying sklearn/cluster/bicluster.py -> build/lib.linux-aarch64-3.6/sklearn/cluster copying sklearn/cluster/affinity_propagation_.py -> build/lib.linux-aarch64-3.6/sklearn/cluster creating build/lib.linux-aarch64-3.6/sklearn/cluster/tests copying sklearn/cluster/tests/test_dbscan.py -> build/lib.linux-aarch64-3.6/sklearn/cluster/tests copying sklearn/cluster/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/cluster/tests copying sklearn/cluster/tests/common.py -> build/lib.linux-aarch64-3.6/sklearn/cluster/tests copying sklearn/cluster/tests/test_bicluster.py -> build/lib.linux-aarch64-3.6/sklearn/cluster/tests copying sklearn/cluster/tests/test_spectral.py -> build/lib.linux-aarch64-3.6/sklearn/cluster/tests copying sklearn/cluster/tests/test_k_means.py -> build/lib.linux-aarch64-3.6/sklearn/cluster/tests copying sklearn/cluster/tests/test_mean_shift.py -> build/lib.linux-aarch64-3.6/sklearn/cluster/tests copying sklearn/cluster/tests/test_affinity_propagation.py -> build/lib.linux-aarch64-3.6/sklearn/cluster/tests copying sklearn/cluster/tests/test_birch.py -> build/lib.linux-aarch64-3.6/sklearn/cluster/tests copying sklearn/cluster/tests/test_hierarchical.py -> build/lib.linux-aarch64-3.6/sklearn/cluster/tests creating build/lib.linux-aarch64-3.6/sklearn/datasets copying sklearn/datasets/svmlight_format.py -> build/lib.linux-aarch64-3.6/sklearn/datasets copying sklearn/datasets/olivetti_faces.py -> build/lib.linux-aarch64-3.6/sklearn/datasets copying sklearn/datasets/lfw.py -> build/lib.linux-aarch64-3.6/sklearn/datasets copying sklearn/datasets/kddcup99.py -> build/lib.linux-aarch64-3.6/sklearn/datasets copying sklearn/datasets/mlcomp.py -> build/lib.linux-aarch64-3.6/sklearn/datasets copying sklearn/datasets/california_housing.py -> build/lib.linux-aarch64-3.6/sklearn/datasets copying sklearn/datasets/species_distributions.py -> build/lib.linux-aarch64-3.6/sklearn/datasets copying sklearn/datasets/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/datasets copying sklearn/datasets/base.py -> build/lib.linux-aarch64-3.6/sklearn/datasets copying sklearn/datasets/twenty_newsgroups.py -> build/lib.linux-aarch64-3.6/sklearn/datasets copying sklearn/datasets/covtype.py -> build/lib.linux-aarch64-3.6/sklearn/datasets copying sklearn/datasets/rcv1.py -> build/lib.linux-aarch64-3.6/sklearn/datasets copying sklearn/datasets/mldata.py -> build/lib.linux-aarch64-3.6/sklearn/datasets copying sklearn/datasets/samples_generator.py -> build/lib.linux-aarch64-3.6/sklearn/datasets copying sklearn/datasets/setup.py -> build/lib.linux-aarch64-3.6/sklearn/datasets creating build/lib.linux-aarch64-3.6/sklearn/datasets/tests copying sklearn/datasets/tests/test_samples_generator.py -> build/lib.linux-aarch64-3.6/sklearn/datasets/tests copying sklearn/datasets/tests/test_lfw.py -> build/lib.linux-aarch64-3.6/sklearn/datasets/tests copying sklearn/datasets/tests/test_covtype.py -> build/lib.linux-aarch64-3.6/sklearn/datasets/tests copying sklearn/datasets/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/datasets/tests copying sklearn/datasets/tests/test_mldata.py -> build/lib.linux-aarch64-3.6/sklearn/datasets/tests copying sklearn/datasets/tests/test_svmlight_format.py -> build/lib.linux-aarch64-3.6/sklearn/datasets/tests copying sklearn/datasets/tests/test_base.py -> build/lib.linux-aarch64-3.6/sklearn/datasets/tests copying sklearn/datasets/tests/test_20news.py -> build/lib.linux-aarch64-3.6/sklearn/datasets/tests copying sklearn/datasets/tests/test_rcv1.py -> build/lib.linux-aarch64-3.6/sklearn/datasets/tests copying sklearn/datasets/tests/test_kddcup99.py -> build/lib.linux-aarch64-3.6/sklearn/datasets/tests creating build/lib.linux-aarch64-3.6/sklearn/decomposition copying sklearn/decomposition/pca.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition copying sklearn/decomposition/dict_learning.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition copying sklearn/decomposition/factor_analysis.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition copying sklearn/decomposition/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition copying sklearn/decomposition/truncated_svd.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition copying sklearn/decomposition/base.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition copying sklearn/decomposition/fastica_.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition copying sklearn/decomposition/sparse_pca.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition copying sklearn/decomposition/online_lda.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition copying sklearn/decomposition/incremental_pca.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition copying sklearn/decomposition/nmf.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition copying sklearn/decomposition/kernel_pca.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition copying sklearn/decomposition/setup.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition creating build/lib.linux-aarch64-3.6/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_fastica.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_kernel_pca.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_dict_learning.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_sparse_pca.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition/tests copying sklearn/decomposition/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_truncated_svd.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_nmf.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_online_lda.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_pca.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_incremental_pca.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition/tests copying sklearn/decomposition/tests/test_factor_analysis.py -> build/lib.linux-aarch64-3.6/sklearn/decomposition/tests creating build/lib.linux-aarch64-3.6/sklearn/ensemble copying sklearn/ensemble/gradient_boosting.py -> build/lib.linux-aarch64-3.6/sklearn/ensemble copying sklearn/ensemble/iforest.py -> build/lib.linux-aarch64-3.6/sklearn/ensemble copying sklearn/ensemble/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/ensemble copying sklearn/ensemble/bagging.py -> build/lib.linux-aarch64-3.6/sklearn/ensemble copying sklearn/ensemble/base.py -> build/lib.linux-aarch64-3.6/sklearn/ensemble copying sklearn/ensemble/partial_dependence.py -> build/lib.linux-aarch64-3.6/sklearn/ensemble copying sklearn/ensemble/forest.py -> build/lib.linux-aarch64-3.6/sklearn/ensemble copying sklearn/ensemble/weight_boosting.py -> build/lib.linux-aarch64-3.6/sklearn/ensemble copying sklearn/ensemble/voting_classifier.py -> build/lib.linux-aarch64-3.6/sklearn/ensemble copying sklearn/ensemble/setup.py -> build/lib.linux-aarch64-3.6/sklearn/ensemble creating build/lib.linux-aarch64-3.6/sklearn/ensemble/tests copying sklearn/ensemble/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_forest.py -> build/lib.linux-aarch64-3.6/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_partial_dependence.py -> build/lib.linux-aarch64-3.6/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_iforest.py -> build/lib.linux-aarch64-3.6/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_bagging.py -> build/lib.linux-aarch64-3.6/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_weight_boosting.py -> build/lib.linux-aarch64-3.6/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_gradient_boosting.py -> build/lib.linux-aarch64-3.6/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> build/lib.linux-aarch64-3.6/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_voting_classifier.py -> build/lib.linux-aarch64-3.6/sklearn/ensemble/tests copying sklearn/ensemble/tests/test_base.py -> build/lib.linux-aarch64-3.6/sklearn/ensemble/tests creating build/lib.linux-aarch64-3.6/sklearn/externals copying sklearn/externals/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/externals copying sklearn/externals/funcsigs.py -> build/lib.linux-aarch64-3.6/sklearn/externals copying sklearn/externals/test_externals_setup.py -> build/lib.linux-aarch64-3.6/sklearn/externals copying sklearn/externals/six.py -> build/lib.linux-aarch64-3.6/sklearn/externals copying sklearn/externals/setup.py -> build/lib.linux-aarch64-3.6/sklearn/externals creating build/lib.linux-aarch64-3.6/sklearn/externals/joblib copying sklearn/externals/joblib/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/externals/joblib creating build/lib.linux-aarch64-3.6/sklearn/feature_extraction copying sklearn/feature_extraction/hashing.py -> build/lib.linux-aarch64-3.6/sklearn/feature_extraction copying sklearn/feature_extraction/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/feature_extraction copying sklearn/feature_extraction/image.py -> build/lib.linux-aarch64-3.6/sklearn/feature_extraction copying sklearn/feature_extraction/dict_vectorizer.py -> build/lib.linux-aarch64-3.6/sklearn/feature_extraction copying sklearn/feature_extraction/stop_words.py -> build/lib.linux-aarch64-3.6/sklearn/feature_extraction copying sklearn/feature_extraction/setup.py -> build/lib.linux-aarch64-3.6/sklearn/feature_extraction copying sklearn/feature_extraction/text.py -> build/lib.linux-aarch64-3.6/sklearn/feature_extraction creating build/lib.linux-aarch64-3.6/sklearn/feature_extraction/tests copying sklearn/feature_extraction/tests/test_dict_vectorizer.py -> build/lib.linux-aarch64-3.6/sklearn/feature_extraction/tests copying sklearn/feature_extraction/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/feature_extraction/tests copying sklearn/feature_extraction/tests/test_text.py -> build/lib.linux-aarch64-3.6/sklearn/feature_extraction/tests copying sklearn/feature_extraction/tests/test_feature_hasher.py -> build/lib.linux-aarch64-3.6/sklearn/feature_extraction/tests copying sklearn/feature_extraction/tests/test_image.py -> build/lib.linux-aarch64-3.6/sklearn/feature_extraction/tests creating build/lib.linux-aarch64-3.6/sklearn/manifold copying sklearn/manifold/mds.py -> build/lib.linux-aarch64-3.6/sklearn/manifold copying sklearn/manifold/t_sne.py -> build/lib.linux-aarch64-3.6/sklearn/manifold copying sklearn/manifold/spectral_embedding_.py -> build/lib.linux-aarch64-3.6/sklearn/manifold copying sklearn/manifold/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/manifold copying sklearn/manifold/locally_linear.py -> build/lib.linux-aarch64-3.6/sklearn/manifold copying sklearn/manifold/isomap.py -> build/lib.linux-aarch64-3.6/sklearn/manifold copying sklearn/manifold/setup.py -> build/lib.linux-aarch64-3.6/sklearn/manifold creating build/lib.linux-aarch64-3.6/sklearn/manifold/tests copying sklearn/manifold/tests/test_mds.py -> build/lib.linux-aarch64-3.6/sklearn/manifold/tests copying sklearn/manifold/tests/test_spectral_embedding.py -> build/lib.linux-aarch64-3.6/sklearn/manifold/tests copying sklearn/manifold/tests/test_t_sne.py -> build/lib.linux-aarch64-3.6/sklearn/manifold/tests copying sklearn/manifold/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/manifold/tests copying sklearn/manifold/tests/test_isomap.py -> build/lib.linux-aarch64-3.6/sklearn/manifold/tests copying sklearn/manifold/tests/test_locally_linear.py -> build/lib.linux-aarch64-3.6/sklearn/manifold/tests creating build/lib.linux-aarch64-3.6/sklearn/metrics copying sklearn/metrics/classification.py -> build/lib.linux-aarch64-3.6/sklearn/metrics copying sklearn/metrics/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/metrics copying sklearn/metrics/base.py -> build/lib.linux-aarch64-3.6/sklearn/metrics copying sklearn/metrics/ranking.py -> build/lib.linux-aarch64-3.6/sklearn/metrics copying sklearn/metrics/regression.py -> build/lib.linux-aarch64-3.6/sklearn/metrics copying sklearn/metrics/pairwise.py -> build/lib.linux-aarch64-3.6/sklearn/metrics copying sklearn/metrics/scorer.py -> build/lib.linux-aarch64-3.6/sklearn/metrics copying sklearn/metrics/setup.py -> build/lib.linux-aarch64-3.6/sklearn/metrics creating build/lib.linux-aarch64-3.6/sklearn/metrics/tests copying sklearn/metrics/tests/test_pairwise.py -> build/lib.linux-aarch64-3.6/sklearn/metrics/tests copying sklearn/metrics/tests/test_regression.py -> build/lib.linux-aarch64-3.6/sklearn/metrics/tests copying sklearn/metrics/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/metrics/tests copying sklearn/metrics/tests/test_classification.py -> build/lib.linux-aarch64-3.6/sklearn/metrics/tests copying sklearn/metrics/tests/test_ranking.py -> build/lib.linux-aarch64-3.6/sklearn/metrics/tests copying sklearn/metrics/tests/test_score_objects.py -> build/lib.linux-aarch64-3.6/sklearn/metrics/tests copying sklearn/metrics/tests/test_common.py -> build/lib.linux-aarch64-3.6/sklearn/metrics/tests creating build/lib.linux-aarch64-3.6/sklearn/metrics/cluster copying sklearn/metrics/cluster/unsupervised.py -> build/lib.linux-aarch64-3.6/sklearn/metrics/cluster copying sklearn/metrics/cluster/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/metrics/cluster copying sklearn/metrics/cluster/supervised.py -> build/lib.linux-aarch64-3.6/sklearn/metrics/cluster copying sklearn/metrics/cluster/setup.py -> build/lib.linux-aarch64-3.6/sklearn/metrics/cluster copying sklearn/metrics/cluster/bicluster.py -> build/lib.linux-aarch64-3.6/sklearn/metrics/cluster creating build/lib.linux-aarch64-3.6/sklearn/metrics/cluster/tests copying sklearn/metrics/cluster/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/metrics/cluster/tests copying sklearn/metrics/cluster/tests/test_bicluster.py -> build/lib.linux-aarch64-3.6/sklearn/metrics/cluster/tests copying sklearn/metrics/cluster/tests/test_unsupervised.py -> build/lib.linux-aarch64-3.6/sklearn/metrics/cluster/tests copying sklearn/metrics/cluster/tests/test_supervised.py -> build/lib.linux-aarch64-3.6/sklearn/metrics/cluster/tests creating build/lib.linux-aarch64-3.6/sklearn/neighbors copying sklearn/neighbors/classification.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors copying sklearn/neighbors/unsupervised.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors copying sklearn/neighbors/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors copying sklearn/neighbors/approximate.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors copying sklearn/neighbors/base.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors copying sklearn/neighbors/nearest_centroid.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors copying sklearn/neighbors/graph.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors copying sklearn/neighbors/kde.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors copying sklearn/neighbors/regression.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors copying sklearn/neighbors/lof.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors copying sklearn/neighbors/setup.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors creating build/lib.linux-aarch64-3.6/sklearn/neighbors/tests copying sklearn/neighbors/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors/tests copying sklearn/neighbors/tests/test_neighbors.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors/tests copying sklearn/neighbors/tests/test_kde.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors/tests copying sklearn/neighbors/tests/test_kd_tree.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors/tests copying sklearn/neighbors/tests/test_nearest_centroid.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors/tests copying sklearn/neighbors/tests/test_dist_metrics.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors/tests copying sklearn/neighbors/tests/test_quad_tree.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors/tests copying sklearn/neighbors/tests/test_approximate.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors/tests copying sklearn/neighbors/tests/test_lof.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors/tests copying sklearn/neighbors/tests/test_ball_tree.py -> build/lib.linux-aarch64-3.6/sklearn/neighbors/tests creating build/lib.linux-aarch64-3.6/sklearn/tree copying sklearn/tree/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/tree copying sklearn/tree/export.py -> build/lib.linux-aarch64-3.6/sklearn/tree copying sklearn/tree/tree.py -> build/lib.linux-aarch64-3.6/sklearn/tree copying sklearn/tree/setup.py -> build/lib.linux-aarch64-3.6/sklearn/tree creating build/lib.linux-aarch64-3.6/sklearn/tree/tests copying sklearn/tree/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/tree/tests copying sklearn/tree/tests/test_tree.py -> build/lib.linux-aarch64-3.6/sklearn/tree/tests copying sklearn/tree/tests/test_export.py -> build/lib.linux-aarch64-3.6/sklearn/tree/tests creating build/lib.linux-aarch64-3.6/sklearn/svm copying sklearn/svm/classes.py -> build/lib.linux-aarch64-3.6/sklearn/svm copying sklearn/svm/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/svm copying sklearn/svm/base.py -> build/lib.linux-aarch64-3.6/sklearn/svm copying sklearn/svm/bounds.py -> build/lib.linux-aarch64-3.6/sklearn/svm copying sklearn/svm/setup.py -> build/lib.linux-aarch64-3.6/sklearn/svm creating build/lib.linux-aarch64-3.6/sklearn/svm/tests copying sklearn/svm/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/svm/tests copying sklearn/svm/tests/test_sparse.py -> build/lib.linux-aarch64-3.6/sklearn/svm/tests copying sklearn/svm/tests/test_bounds.py -> build/lib.linux-aarch64-3.6/sklearn/svm/tests copying sklearn/svm/tests/test_svm.py -> build/lib.linux-aarch64-3.6/sklearn/svm/tests creating build/lib.linux-aarch64-3.6/sklearn/linear_model copying sklearn/linear_model/sag.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model copying sklearn/linear_model/ridge.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model copying sklearn/linear_model/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model copying sklearn/linear_model/passive_aggressive.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model copying sklearn/linear_model/stochastic_gradient.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model copying sklearn/linear_model/logistic.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model copying sklearn/linear_model/base.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model copying sklearn/linear_model/randomized_l1.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model copying sklearn/linear_model/perceptron.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model copying sklearn/linear_model/bayes.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model copying sklearn/linear_model/omp.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model copying sklearn/linear_model/coordinate_descent.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model copying sklearn/linear_model/ransac.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model copying sklearn/linear_model/least_angle.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model copying sklearn/linear_model/theil_sen.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model copying sklearn/linear_model/huber.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model copying sklearn/linear_model/setup.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model creating build/lib.linux-aarch64-3.6/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_sag.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model/tests copying sklearn/linear_model/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_coordinate_descent.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_omp.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_ridge.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_least_angle.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_ransac.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_bayes.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_theil_sen.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_perceptron.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_randomized_l1.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_sgd.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_base.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_logistic.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_huber.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model/tests copying sklearn/linear_model/tests/test_passive_aggressive.py -> build/lib.linux-aarch64-3.6/sklearn/linear_model/tests creating build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/deprecation.py -> build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/extmath.py -> build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/linear_assignment_.py -> build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/arpack.py -> build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/metaestimators.py -> build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/stats.py -> build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/sparsefuncs.py -> build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/testing.py -> build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/mocking.py -> build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/class_weight.py -> build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/graph.py -> build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/bench.py -> build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/optimize.py -> build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/validation.py -> build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/fixes.py -> build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/estimator_checks.py -> build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/setup.py -> build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/_scipy_sparse_lsqr_backport.py -> build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/multiclass.py -> build/lib.linux-aarch64-3.6/sklearn/utils copying sklearn/utils/random.py -> build/lib.linux-aarch64-3.6/sklearn/utils creating build/lib.linux-aarch64-3.6/sklearn/utils/sparsetools copying sklearn/utils/sparsetools/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/utils/sparsetools copying sklearn/utils/sparsetools/setup.py -> build/lib.linux-aarch64-3.6/sklearn/utils/sparsetools creating build/lib.linux-aarch64-3.6/sklearn/utils/sparsetools/tests copying sklearn/utils/sparsetools/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/utils/sparsetools/tests creating build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_murmurhash.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_linear_assignment.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_fast_dict.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_seq_dataset.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_estimator_checks.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_graph.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_class_weight.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_multiclass.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_metaestimators.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_optimize.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_sparsefuncs.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_shortest_path.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_bench.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_deprecation.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_extmath.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_validation.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_stats.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_random.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_utils.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_fixes.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests copying sklearn/utils/tests/test_testing.py -> build/lib.linux-aarch64-3.6/sklearn/utils/tests creating build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_multioutput.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_dummy.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_isotonic.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/__init__.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_grid_search.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_config.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_multiclass.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_metaestimators.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_kernel_approximation.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_kernel_ridge.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_calibration.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_docstring_parameters.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_naive_bayes.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_init.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_cross_validation.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_pipeline.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_common.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_check_build.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_learning_curve.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_discriminant_analysis.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_base.py -> build/lib.linux-aarch64-3.6/sklearn/tests copying sklearn/tests/test_random_projection.py -> build/lib.linux-aarch64-3.6/sklearn/tests running build_clib customize UnixCCompiler customize UnixCCompiler using build_clib building 'libsvm-skl' library compiling C++ sources C compiler: aarch64-linux-gnu-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-3.6 creating build/temp.linux-aarch64-3.6/sklearn creating build/temp.linux-aarch64-3.6/sklearn/svm creating build/temp.linux-aarch64-3.6/sklearn/svm/src creating build/temp.linux-aarch64-3.6/sklearn/svm/src/libsvm compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -c' aarch64-linux-gnu-g++: sklearn/svm/src/libsvm/libsvm_template.cpp aarch64-linux-gnu-ar: adding 1 object files to build/temp.linux-aarch64-3.6/liblibsvm-skl.a building 'cblas' library compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-3.6/sklearn/src creating build/temp.linux-aarch64-3.6/sklearn/src/cblas compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -c' aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_dgemv.c sklearn/src/cblas/cblas_dgemv.c: In function ‘cblas_dgemv’: sklearn/src/cblas/cblas_dgemv.c:79:7: warning: implicit declaration of function ‘cblas_xerbla’; did you mean ‘cblas_zher2k’? [-Wimplicit-function-declaration] cblas_xerbla(info, "cblas_dgemv", ""); ^~~~~~~~~~~~ cblas_zher2k In file included from sklearn/src/cblas/cblas_dgemv.c:32:0: At top level: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_srefcopy.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_errprn.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_scopy.c In file included from sklearn/src/cblas/atlas_level1.h:37:0, from sklearn/src/cblas/cblas_scopy.c:36: sklearn/src/cblas/cblas_scopy.c: In function ‘cblas_scopy’: sklearn/src/cblas/atlas_refalias1.h:12:24: warning: implicit declaration of function ‘ATL_srefcopy’; did you mean ‘ATL_sgecopy’? [-Wimplicit-function-declaration] #define ATL_scopy ATL_srefcopy ^ sklearn/src/cblas/cblas_scopy.c:46:24: note: in expansion of macro ‘ATL_scopy’ if (incY < 0) ATL_scopy(N, X, -incX, Y, -incY); ^~~~~~~~~ In file included from sklearn/src/cblas/cblas_scopy.c:32:0: At top level: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_saxpy.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_srefrot.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_drefrot.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_drefgemvN.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_xerbla.c sklearn/src/cblas/cblas_xerbla.c: In function ‘cblas_xerbla’: sklearn/src/cblas/cblas_xerbla.c:52:4: warning: implicit declaration of function ‘exit’ [-Wimplicit-function-declaration] exit(-1); ^~~~ sklearn/src/cblas/cblas_xerbla.c:52:4: warning: incompatible implicit declaration of built-in function ‘exit’ sklearn/src/cblas/cblas_xerbla.c:52:4: note: include ‘’ or provide a declaration of ‘exit’ aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_drefgemvT.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_srotg.c In file included from sklearn/src/cblas/cblas_srotg.c:32:0: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_sger.c sklearn/src/cblas/cblas_sger.c: In function ‘cblas_sger’: sklearn/src/cblas/cblas_sger.c:73:7: warning: implicit declaration of function ‘cblas_xerbla’; did you mean ‘cblas_zher2k’? [-Wimplicit-function-declaration] cblas_xerbla(info, "cblas_sger", ""); ^~~~~~~~~~~~ cblas_zher2k In file included from sklearn/src/cblas/cblas_sger.c:32:0: At top level: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_dcopy.c In file included from sklearn/src/cblas/atlas_level1.h:37:0, from sklearn/src/cblas/cblas_dcopy.c:36: sklearn/src/cblas/cblas_dcopy.c: In function ‘cblas_dcopy’: sklearn/src/cblas/atlas_refalias1.h:25:24: warning: implicit declaration of function ‘ATL_drefcopy’; did you mean ‘ATL_dgecopy’? [-Wimplicit-function-declaration] #define ATL_dcopy ATL_drefcopy ^ sklearn/src/cblas/cblas_dcopy.c:46:24: note: in expansion of macro ‘ATL_dcopy’ if (incY < 0) ATL_dcopy(N, X, -incX, Y, -incY); ^~~~~~~~~ In file included from sklearn/src/cblas/cblas_dcopy.c:32:0: At top level: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_srefasum.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_drefrotg.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_srefgemvT.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_srefrotg.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_drefcopy.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_drotg.c In file included from sklearn/src/cblas/cblas_drotg.c:32:0: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_srefger.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_drot.c In file included from sklearn/src/cblas/cblas_drot.c:32:0: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_sasum.c In file included from sklearn/src/cblas/cblas_sasum.c:32:0: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_dscal.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_dnrm2.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_dger.c sklearn/src/cblas/cblas_dger.c: In function ‘cblas_dger’: sklearn/src/cblas/cblas_dger.c:73:7: warning: implicit declaration of function ‘cblas_xerbla’; did you mean ‘cblas_zher2k’? [-Wimplicit-function-declaration] cblas_xerbla(info, "cblas_dger", ""); ^~~~~~~~~~~~ cblas_zher2k In file included from sklearn/src/cblas/cblas_dger.c:32:0: At top level: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_snrm2.c In file included from sklearn/src/cblas/cblas_snrm2.c:32:0: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_daxpy.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_srot.c In file included from sklearn/src/cblas/cblas_srot.c:32:0: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_srefgemv.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_drefasum.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_sgemv.c sklearn/src/cblas/cblas_sgemv.c: In function ‘cblas_sgemv’: sklearn/src/cblas/cblas_sgemv.c:79:7: warning: implicit declaration of function ‘cblas_xerbla’; did you mean ‘cblas_zher2k’? [-Wimplicit-function-declaration] cblas_xerbla(info, "cblas_sgemv", ""); ^~~~~~~~~~~~ cblas_zher2k In file included from sklearn/src/cblas/cblas_sgemv.c:32:0: At top level: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_dsrefdot.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_srefgemvN.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_drefger.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_ddot.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_drefgemv.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_sdot.c aarch64-linux-gnu-gcc: sklearn/src/cblas/ATL_srefnrm2.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_sscal.c aarch64-linux-gnu-gcc: sklearn/src/cblas/cblas_dasum.c In file included from sklearn/src/cblas/cblas_dasum.c:32:0: sklearn/src/cblas/atlas_misc.h:409:14: warning: ‘ATL_Align2Ptr’ defined but not used [-Wunused-function] static void *ATL_Align2Ptr(const void *pu, const void *pA) ^~~~~~~~~~~~~ sklearn/src/cblas/atlas_misc.h:393:12: warning: ‘ATL_AlignOffset’ defined but not used [-Wunused-function] static int ATL_AlignOffset ^~~~~~~~~~~~~~~ aarch64-linux-gnu-ar: adding 40 object files to build/temp.linux-aarch64-3.6/libcblas.a running build_ext customize UnixCCompiler customize UnixCCompiler using build_ext customize UnixCCompiler customize UnixCCompiler using build_ext building 'sklearn.__check_build._check_build' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-3.6/sklearn/__check_build compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/__check_build/_check_build.c aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/__check_build/_check_build.o -Lbuild/temp.linux-aarch64-3.6 -o build/lib.linux-aarch64-3.6/sklearn/__check_build/_check_build.cpython-36m-aarch64-linux-gnu.so building 'sklearn.cluster._dbscan_inner' extension compiling C++ sources C compiler: aarch64-linux-gnu-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-3.6/sklearn/cluster compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-g++: sklearn/cluster/_dbscan_inner.cpp In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_dbscan_inner.cpp:524: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/cluster/_dbscan_inner.o -Lbuild/temp.linux-aarch64-3.6 -o build/lib.linux-aarch64-3.6/sklearn/cluster/_dbscan_inner.cpython-36m-aarch64-linux-gnu.so building 'sklearn.cluster._hierarchical' extension compiling C++ sources C compiler: aarch64-linux-gnu-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-g++: sklearn/cluster/_hierarchical.cpp In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_hierarchical.cpp:522: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/cluster/_hierarchical.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/cluster/_hierarchical.cpython-36m-aarch64-linux-gnu.so building 'sklearn.cluster._k_means_elkan' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/cluster/_k_means_elkan.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_k_means_elkan.c:507: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/cluster/_k_means_elkan.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/cluster/_k_means_elkan.cpython-36m-aarch64-linux-gnu.so building 'sklearn.cluster._k_means' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/cluster/_k_means.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/cluster/_k_means.c:511: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ sklearn/cluster/_k_means.c: In function ‘__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array’: sklearn/cluster/_k_means.c:3858:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_sdot; ^ sklearn/cluster/_k_means.c: In function ‘__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array’: sklearn/cluster/_k_means.c:4606:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_ddot; ^ sklearn/cluster/_k_means.c: In function ‘__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr’: sklearn/cluster/_k_means.c:6155:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_sdot; ^ sklearn/cluster/_k_means.c: In function ‘__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr’: sklearn/cluster/_k_means.c:6960:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_ddot; ^ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/cluster/_k_means.o -Lbuild/temp.linux-aarch64-3.6 -lcblas -lm -o build/lib.linux-aarch64-3.6/sklearn/cluster/_k_means.cpython-36m-aarch64-linux-gnu.so building 'sklearn.datasets._svmlight_format' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-3.6/sklearn/datasets compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/datasets/_svmlight_format.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/datasets/_svmlight_format.c:505: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/datasets/_svmlight_format.o -Lbuild/temp.linux-aarch64-3.6 -o build/lib.linux-aarch64-3.6/sklearn/datasets/_svmlight_format.cpython-36m-aarch64-linux-gnu.so building 'sklearn.decomposition._online_lda' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-3.6/sklearn/decomposition compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/decomposition/_online_lda.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/decomposition/_online_lda.c:508: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/decomposition/_online_lda.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/decomposition/_online_lda.cpython-36m-aarch64-linux-gnu.so building 'sklearn.decomposition.cdnmf_fast' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/decomposition/cdnmf_fast.c aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/decomposition/cdnmf_fast.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/decomposition/cdnmf_fast.cpython-36m-aarch64-linux-gnu.so building 'sklearn.ensemble._gradient_boosting' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-3.6/sklearn/ensemble compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/ensemble/_gradient_boosting.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/ensemble/_gradient_boosting.c:504: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/ensemble/_gradient_boosting.o -Lbuild/temp.linux-aarch64-3.6 -o build/lib.linux-aarch64-3.6/sklearn/ensemble/_gradient_boosting.cpython-36m-aarch64-linux-gnu.so building 'sklearn.feature_extraction._hashing' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-3.6/sklearn/feature_extraction compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/feature_extraction/_hashing.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/feature_extraction/_hashing.c:508: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/feature_extraction/_hashing.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/feature_extraction/_hashing.cpython-36m-aarch64-linux-gnu.so building 'sklearn.manifold._utils' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-3.6/sklearn/manifold compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' extra options: '-O3' aarch64-linux-gnu-gcc: sklearn/manifold/_utils.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/manifold/_utils.c:512: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/manifold/_utils.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/manifold/_utils.cpython-36m-aarch64-linux-gnu.so building 'sklearn.manifold._barnes_hut_tsne' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' extra options: '-O4' aarch64-linux-gnu-gcc: sklearn/manifold/_barnes_hut_tsne.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/manifold/_barnes_hut_tsne.c:512: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ sklearn/manifold/_barnes_hut_tsne.c: In function ‘__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_compute_gradient_negative’: sklearn/manifold/_barnes_hut_tsne.c:3230:9: warning: variable ‘__pyx_v_force’ set but not used [-Wunused-but-set-variable] float __pyx_v_force[3]; ^~~~~~~~~~~~~ sklearn/manifold/_barnes_hut_tsne.c:3229:9: warning: variable ‘__pyx_v_iQ’ set but not used [-Wunused-but-set-variable] float __pyx_v_iQ[1]; ^~~~~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/manifold/_barnes_hut_tsne.o -Lbuild/temp.linux-aarch64-3.6 -lcblas -o build/lib.linux-aarch64-3.6/sklearn/manifold/_barnes_hut_tsne.cpython-36m-aarch64-linux-gnu.so building 'sklearn.metrics.pairwise_fast' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-3.6/sklearn/metrics compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/metrics/pairwise_fast.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/metrics/pairwise_fast.c:510: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/metrics/pairwise_fast.o -Lbuild/temp.linux-aarch64-3.6 -lcblas -lm -o build/lib.linux-aarch64-3.6/sklearn/metrics/pairwise_fast.cpython-36m-aarch64-linux-gnu.so building 'sklearn.metrics/cluster.expected_mutual_info_fast' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-3.6/sklearn/metrics/cluster compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/metrics/cluster/expected_mutual_info_fast.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/metrics/cluster/expected_mutual_info_fast.c:508: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/metrics/cluster/expected_mutual_info_fast.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/metrics/cluster/expected_mutual_info_fast.cpython-36m-aarch64-linux-gnu.so building 'sklearn.neighbors.ball_tree' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-3.6/sklearn/neighbors compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/neighbors/ball_tree.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/ball_tree.c:507: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/neighbors/ball_tree.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/neighbors/ball_tree.cpython-36m-aarch64-linux-gnu.so building 'sklearn.neighbors.kd_tree' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/neighbors/kd_tree.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/kd_tree.c:507: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ sklearn/neighbors/kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__recursive_build’: sklearn/neighbors/kd_tree.c:22180:49: warning: ‘__pyx_v_j’ may be used uninitialized in this function [-Wmaybe-uninitialized] __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_j; ^~~~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/neighbors/kd_tree.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/neighbors/kd_tree.cpython-36m-aarch64-linux-gnu.so building 'sklearn.neighbors.dist_metrics' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include/numpy -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/neighbors/dist_metrics.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/dist_metrics.c:508: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_dist’: sklearn/neighbors/dist_metrics.c:6879:85: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) __PYX_ERR(1, 464, __pyx_L1_error) ^ sklearn/neighbors/dist_metrics.c:6684:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_dist’: sklearn/neighbors/dist_metrics.c:7694:84: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) __PYX_ERR(1, 553, __pyx_L1_error) ^ sklearn/neighbors/dist_metrics.c:7615:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_dist’: sklearn/neighbors/dist_metrics.c:8400:85: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) __PYX_ERR(1, 612, __pyx_L1_error) ^ sklearn/neighbors/dist_metrics.c:8215:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/neighbors/dist_metrics.c: In function ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_dist’: sklearn/neighbors/dist_metrics.c:9266:86: warning: passing argument 1 of ‘__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == -1.0)) __PYX_ERR(1, 685, __pyx_L1_error) ^ sklearn/neighbors/dist_metrics.c:9026:54: note: expected ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *’ but argument is of type ‘struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *’ static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) { ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/neighbors/dist_metrics.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/neighbors/dist_metrics.cpython-36m-aarch64-linux-gnu.so building 'sklearn.neighbors.typedefs' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/neighbors/typedefs.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/typedefs.c:507: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/neighbors/typedefs.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/neighbors/typedefs.cpython-36m-aarch64-linux-gnu.so building 'sklearn.neighbors.quad_tree' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/neighbors/quad_tree.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/neighbors/quad_tree.c:507: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ sklearn/neighbors/quad_tree.c:2722:1: warning: function declaration isn’t a prototype [-Wstrict-prototypes] static PyObject *__pyx_pf_7sklearn_9neighbors_9quad_tree_9_QuadTree_16test_summarize(); /* proto */ ^~~~~~ sklearn/neighbors/quad_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__get_cell_ndarray’: sklearn/neighbors/quad_tree.c:7009:36: warning: passing argument 1 of ‘(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, PyObject *))*(PyArray_API + 752)’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->cells), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 574, __pyx_L1_error) ^ sklearn/neighbors/quad_tree.c:7009:36: note: expected ‘PyTypeObject * {aka struct _typeobject *}’ but argument is of type ‘PyObject * {aka struct _object *}’ sklearn/neighbors/quad_tree.c: At top level: sklearn/neighbors/quad_tree.c:7434:18: warning: function declaration isn’t a prototype [-Wstrict-prototypes] static PyObject *__pyx_pf_7sklearn_9neighbors_9quad_tree_9_QuadTree_16test_summarize() { ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/neighbors/quad_tree.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/neighbors/quad_tree.cpython-36m-aarch64-linux-gnu.so building 'sklearn.tree._tree' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-3.6/sklearn/tree compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' extra options: '-O3' aarch64-linux-gnu-gcc: sklearn/tree/_tree.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_tree.c:510: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ sklearn/tree/_tree.c: In function ‘__pyx_f_7sklearn_4tree_5_tree_4Tree__get_node_ndarray’: sklearn/tree/_tree.c:14839:36: warning: passing argument 1 of ‘(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, PyObject *))*(PyArray_API + 752)’ from incompatible pointer type [-Wincompatible-pointer-types] __pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->nodes), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1123, __pyx_L1_error) ^ sklearn/tree/_tree.c:14839:36: note: expected ‘PyTypeObject * {aka struct _typeobject *}’ but argument is of type ‘PyObject * {aka struct _object *}’ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/tree/_tree.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/tree/_tree.cpython-36m-aarch64-linux-gnu.so building 'sklearn.tree._splitter' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' extra options: '-O3' aarch64-linux-gnu-gcc: sklearn/tree/_splitter.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_splitter.c:510: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/tree/_splitter.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/tree/_splitter.cpython-36m-aarch64-linux-gnu.so building 'sklearn.tree._criterion' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' extra options: '-O3' aarch64-linux-gnu-gcc: sklearn/tree/_criterion.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_criterion.c:510: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/tree/_criterion.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/tree/_criterion.cpython-36m-aarch64-linux-gnu.so building 'sklearn.tree._utils' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' extra options: '-O3' aarch64-linux-gnu-gcc: sklearn/tree/_utils.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/tree/_utils.c:510: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ sklearn/tree/_utils.c: In function ‘__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_remove’: sklearn/tree/_utils.c:9131:4: warning: ‘__pyx_v_original_median’ may be used uninitialized in this function [-Wmaybe-uninitialized] ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median); ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/tree/_utils.c: In function ‘__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_pop’: sklearn/tree/_utils.c:9243:4: warning: ‘__pyx_v_original_median’ may be used uninitialized in this function [-Wmaybe-uninitialized] ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, (__pyx_v_data[0]), (__pyx_v_weight[0]), __pyx_v_original_median); ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/tree/_utils.c: In function ‘__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_push’: sklearn/tree/_utils.c:8775:4: warning: ‘__pyx_v_original_median’ may be used uninitialized in this function [-Wmaybe-uninitialized] ((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_push(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median); ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/tree/_utils.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/tree/_utils.cpython-36m-aarch64-linux-gnu.so building 'sklearn.svm.libsvm' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/svm/libsvm.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/svm/libsvm.c:512: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/svm/libsvm.o -Lbuild/temp.linux-aarch64-3.6 -llibsvm-skl -o build/lib.linux-aarch64-3.6/sklearn/svm/libsvm.cpython-36m-aarch64-linux-gnu.so building 'sklearn.svm.liblinear' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/svm -I./sklearn/svm -Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/svm/liblinear.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/svm/liblinear.c:516: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ In file included from sklearn/svm/liblinear.c:519:0: sklearn/svm/src/liblinear/liblinear_helper.c: In function ‘set_problem’: sklearn/svm/src/liblinear/liblinear_helper.c:145:28: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] problem->sample_weight = sample_weight; ^ sklearn/svm/src/liblinear/liblinear_helper.c: In function ‘csr_set_problem’: sklearn/svm/src/liblinear/liblinear_helper.c:174:28: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] problem->sample_weight = sample_weight; ^ compiling C++ sources C compiler: aarch64-linux-gnu-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-3.6/sklearn/svm/src/liblinear compile options: '-Isklearn/svm -I./sklearn/svm -Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-g++: sklearn/svm/src/liblinear/linear.cpp sklearn/svm/src/liblinear/linear.cpp: In function ‘model* train(const problem*, const parameter*)’: sklearn/svm/src/liblinear/linear.cpp:2370:6: warning: unused variable ‘n_iter’ [-Wunused-variable] int n_iter; ^~~~~~ aarch64-linux-gnu-g++: sklearn/svm/src/liblinear/tron.cpp aarch64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/svm/liblinear.o build/temp.linux-aarch64-3.6/sklearn/svm/src/liblinear/linear.o build/temp.linux-aarch64-3.6/sklearn/svm/src/liblinear/tron.o -Lbuild/temp.linux-aarch64-3.6 -lcblas -lm -o build/lib.linux-aarch64-3.6/sklearn/svm/liblinear.cpython-36m-aarch64-linux-gnu.so building 'sklearn.svm.libsvm_sparse' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/svm/libsvm_sparse.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/svm/libsvm_sparse.c:510: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/svm/libsvm_sparse.o -Lbuild/temp.linux-aarch64-3.6 -llibsvm-skl -o build/lib.linux-aarch64-3.6/sklearn/svm/libsvm_sparse.cpython-36m-aarch64-linux-gnu.so building 'sklearn._isotonic' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/_isotonic.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/_isotonic.c:507: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/_isotonic.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/_isotonic.cpython-36m-aarch64-linux-gnu.so building 'sklearn.linear_model.cd_fast' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-3.6/sklearn/linear_model compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/linear_model/cd_fast.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/cd_fast.c:511: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_8enet_coordinate_descent’: sklearn/linear_model/cd_fast.c:4983:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_sdot; ^ sklearn/linear_model/cd_fast.c:4992:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_axpy = cblas_saxpy; ^ sklearn/linear_model/cd_fast.c:5001:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_asum = cblas_sasum; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_10enet_coordinate_descent’: sklearn/linear_model/cd_fast.c:6429:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_ddot; ^ sklearn/linear_model/cd_fast.c:6438:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_axpy = cblas_daxpy; ^ sklearn/linear_model/cd_fast.c:6447:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_asum = cblas_dasum; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_14sparse_enet_coordinate_descent’: sklearn/linear_model/cd_fast.c:8746:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_sdot; ^ sklearn/linear_model/cd_fast.c:8755:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_asum = cblas_sasum; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_16sparse_enet_coordinate_descent’: sklearn/linear_model/cd_fast.c:10725:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_ddot; ^ sklearn/linear_model/cd_fast.c:10734:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_asum = cblas_dasum; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_20enet_coordinate_descent_gram’: sklearn/linear_model/cd_fast.c:13285:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_sdot; ^ sklearn/linear_model/cd_fast.c:13294:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_axpy = cblas_saxpy; ^ sklearn/linear_model/cd_fast.c:13303:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_asum = cblas_sasum; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_22enet_coordinate_descent_gram’: sklearn/linear_model/cd_fast.c:14813:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_ddot; ^ sklearn/linear_model/cd_fast.c:14822:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_axpy = cblas_daxpy; ^ sklearn/linear_model/cd_fast.c:14831:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_asum = cblas_dasum; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_26enet_coordinate_descent_multi_task’: sklearn/linear_model/cd_fast.c:17042:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_sdot; ^ sklearn/linear_model/cd_fast.c:17051:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_nrm2 = cblas_snrm2; ^ sklearn/linear_model/cd_fast.c:17060:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_asum = cblas_sasum; ^ sklearn/linear_model/cd_fast.c:17069:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_copy = cblas_scopy; ^ sklearn/linear_model/cd_fast.c:17087:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_ger = cblas_sger; ^ sklearn/linear_model/cd_fast.c:17096:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_gemv = cblas_sgemv; ^ sklearn/linear_model/cd_fast.c: In function ‘__pyx_pf_7sklearn_12linear_model_7cd_fast_28enet_coordinate_descent_multi_task’: sklearn/linear_model/cd_fast.c:18769:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_dot = cblas_ddot; ^ sklearn/linear_model/cd_fast.c:18778:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_nrm2 = cblas_dnrm2; ^ sklearn/linear_model/cd_fast.c:18787:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_asum = cblas_dasum; ^ sklearn/linear_model/cd_fast.c:18796:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_copy = cblas_dcopy; ^ sklearn/linear_model/cd_fast.c:18814:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_ger = cblas_dger; ^ sklearn/linear_model/cd_fast.c:18823:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types] __pyx_v_gemv = cblas_dgemv; ^ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/linear_model/cd_fast.o -Lbuild/temp.linux-aarch64-3.6 -lcblas -lm -o build/lib.linux-aarch64-3.6/sklearn/linear_model/cd_fast.cpython-36m-aarch64-linux-gnu.so building 'sklearn.linear_model.sgd_fast' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/linear_model -Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/linear_model/sgd_fast.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/sgd_fast.c:513: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/linear_model/sgd_fast.o -Lbuild/temp.linux-aarch64-3.6 -lcblas -lm -o build/lib.linux-aarch64-3.6/sklearn/linear_model/sgd_fast.cpython-36m-aarch64-linux-gnu.so building 'sklearn.linear_model.sag_fast' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/linear_model -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/linear_model/sag_fast.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/linear_model/sag_fast.c:506: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/linear_model/sag_fast.o -Lbuild/temp.linux-aarch64-3.6 -o build/lib.linux-aarch64-3.6/sklearn/linear_model/sag_fast.cpython-36m-aarch64-linux-gnu.so building 'sklearn.utils.sparsefuncs_fast' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-3.6/sklearn/utils compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/utils/sparsefuncs_fast.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/sparsefuncs_fast.c:502: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/utils/sparsefuncs_fast.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/utils/sparsefuncs_fast.cpython-36m-aarch64-linux-gnu.so building 'sklearn.utils.arrayfuncs' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/utils -Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/utils/arrayfuncs.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/arrayfuncs.c:511: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/utils/arrayfuncs.o -Lbuild/temp.linux-aarch64-3.6 -lcblas -lm -o build/lib.linux-aarch64-3.6/sklearn/utils/arrayfuncs.cpython-36m-aarch64-linux-gnu.so building 'sklearn.utils.murmurhash' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/utils -Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/utils/murmurhash.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/murmurhash.c:505: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ compiling C++ sources C compiler: aarch64-linux-gnu-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC creating build/temp.linux-aarch64-3.6/sklearn/utils/src compile options: '-Isklearn/utils -Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-g++: sklearn/utils/src/MurmurHash3.cpp aarch64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/utils/murmurhash.o build/temp.linux-aarch64-3.6/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-aarch64-3.6 -o build/lib.linux-aarch64-3.6/sklearn/utils/murmurhash.cpython-36m-aarch64-linux-gnu.so building 'sklearn.utils.lgamma' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/utils -Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/utils/lgamma.c aarch64-linux-gnu-gcc: sklearn/utils/src/gamma.c aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/utils/lgamma.o build/temp.linux-aarch64-3.6/sklearn/utils/src/gamma.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/utils/lgamma.cpython-36m-aarch64-linux-gnu.so building 'sklearn.utils.graph_shortest_path' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/utils/graph_shortest_path.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/graph_shortest_path.c:504: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-aarch64-3.6 -o build/lib.linux-aarch64-3.6/sklearn/utils/graph_shortest_path.cpython-36m-aarch64-linux-gnu.so building 'sklearn.utils.fast_dict' extension compiling C++ sources C compiler: aarch64-linux-gnu-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-g++: sklearn/utils/fast_dict.cpp In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/fast_dict.cpp:528: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ sklearn/utils/fast_dict.cpp: In function ‘PyObject* __pyx_pw_7sklearn_5utils_9fast_dict_1argmin(PyObject*, PyObject*)’: sklearn/utils/fast_dict.cpp:25115:47: warning: ‘__pyx_v_min_key’ may be used uninitialized in this function [-Wmaybe-uninitialized] return PyInt_FromLong((long) value); ^ sklearn/utils/fast_dict.cpp:4336:46: note: ‘__pyx_v_min_key’ was declared here __pyx_t_7sklearn_5utils_9fast_dict_ITYPE_t __pyx_v_min_key; ^~~~~~~~~~~~~~~ aarch64-linux-gnu-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/utils/fast_dict.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/utils/fast_dict.cpython-36m-aarch64-linux-gnu.so building 'sklearn.utils.seq_dataset' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/utils/seq_dataset.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/seq_dataset.c:504: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/utils/seq_dataset.o -Lbuild/temp.linux-aarch64-3.6 -o build/lib.linux-aarch64-3.6/sklearn/utils/seq_dataset.cpython-36m-aarch64-linux-gnu.so building 'sklearn.utils.weight_vector' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/utils/weight_vector.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/weight_vector.c:510: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/utils/weight_vector.o -Lbuild/temp.linux-aarch64-3.6 -lcblas -lm -o build/lib.linux-aarch64-3.6/sklearn/utils/weight_vector.cpython-36m-aarch64-linux-gnu.so building 'sklearn.utils._random' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/utils/_random.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/_random.c:507: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/utils/_random.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/utils/_random.cpython-36m-aarch64-linux-gnu.so building 'sklearn.utils._logistic_sigmoid' extension compiling C sources C compiler: aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c' aarch64-linux-gnu-gcc: sklearn/utils/_logistic_sigmoid.c In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1809:0, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18, from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4, from sklearn/utils/_logistic_sigmoid.c:508: /usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp] #warning "Using deprecated NumPy API, disable it by " \ ^~~~~~~ aarch64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -Wl,-z,relro -Wl,-Bsymbolic-functions -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-aarch64-3.6/sklearn/utils/_logistic_sigmoid.o -Lbuild/temp.linux-aarch64-3.6 -lm -o build/lib.linux-aarch64-3.6/sklearn/utils/_logistic_sigmoid.cpython-36m-aarch64-linux-gnu.so running install_lib creating /<>/debian/tmp/usr/lib/python3 creating /<>/debian/tmp/usr/lib/python3/dist-packages creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build copying build/lib.linux-aarch64-3.6/sklearn/__check_build/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build copying build/lib.linux-aarch64-3.6/sklearn/__check_build/_check_build.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build copying build/lib.linux-aarch64-3.6/sklearn/__check_build/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build copying build/lib.linux-aarch64-3.6/sklearn/_isotonic.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble copying build/lib.linux-aarch64-3.6/sklearn/ensemble/gradient_boosting.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble copying build/lib.linux-aarch64-3.6/sklearn/ensemble/iforest.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble copying build/lib.linux-aarch64-3.6/sklearn/ensemble/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble copying build/lib.linux-aarch64-3.6/sklearn/ensemble/bagging.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble copying build/lib.linux-aarch64-3.6/sklearn/ensemble/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble copying build/lib.linux-aarch64-3.6/sklearn/ensemble/partial_dependence.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble copying build/lib.linux-aarch64-3.6/sklearn/ensemble/forest.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble copying build/lib.linux-aarch64-3.6/sklearn/ensemble/weight_boosting.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble copying build/lib.linux-aarch64-3.6/sklearn/ensemble/_gradient_boosting.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble copying build/lib.linux-aarch64-3.6/sklearn/ensemble/voting_classifier.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-3.6/sklearn/ensemble/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-3.6/sklearn/ensemble/tests/test_forest.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-3.6/sklearn/ensemble/tests/test_partial_dependence.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-3.6/sklearn/ensemble/tests/test_iforest.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-3.6/sklearn/ensemble/tests/test_bagging.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-3.6/sklearn/ensemble/tests/test_weight_boosting.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-3.6/sklearn/ensemble/tests/test_gradient_boosting.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-3.6/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-3.6/sklearn/ensemble/tests/test_voting_classifier.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-3.6/sklearn/ensemble/tests/test_base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests copying build/lib.linux-aarch64-3.6/sklearn/ensemble/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-3.6/sklearn/datasets/svmlight_format.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-3.6/sklearn/datasets/olivetti_faces.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-3.6/sklearn/datasets/lfw.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-3.6/sklearn/datasets/kddcup99.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-3.6/sklearn/datasets/mlcomp.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-3.6/sklearn/datasets/california_housing.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-3.6/sklearn/datasets/species_distributions.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-3.6/sklearn/datasets/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-3.6/sklearn/datasets/_svmlight_format.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-3.6/sklearn/datasets/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-3.6/sklearn/datasets/twenty_newsgroups.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-3.6/sklearn/datasets/covtype.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-3.6/sklearn/datasets/rcv1.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-3.6/sklearn/datasets/mldata.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-3.6/sklearn/datasets/tests/test_samples_generator.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-3.6/sklearn/datasets/tests/test_lfw.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-3.6/sklearn/datasets/tests/test_covtype.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-3.6/sklearn/datasets/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-3.6/sklearn/datasets/tests/test_mldata.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-3.6/sklearn/datasets/tests/test_svmlight_format.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-3.6/sklearn/datasets/tests/test_base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-3.6/sklearn/datasets/tests/test_20news.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-3.6/sklearn/datasets/tests/test_rcv1.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-3.6/sklearn/datasets/tests/test_kddcup99.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests copying build/lib.linux-aarch64-3.6/sklearn/datasets/samples_generator.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-3.6/sklearn/datasets/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets copying build/lib.linux-aarch64-3.6/sklearn/isotonic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance copying build/lib.linux-aarch64-3.6/sklearn/covariance/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance copying build/lib.linux-aarch64-3.6/sklearn/covariance/robust_covariance.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance copying build/lib.linux-aarch64-3.6/sklearn/covariance/shrunk_covariance_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance copying build/lib.linux-aarch64-3.6/sklearn/covariance/outlier_detection.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance copying build/lib.linux-aarch64-3.6/sklearn/covariance/empirical_covariance_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance copying build/lib.linux-aarch64-3.6/sklearn/covariance/graph_lasso_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests copying build/lib.linux-aarch64-3.6/sklearn/covariance/tests/test_graph_lasso.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests copying build/lib.linux-aarch64-3.6/sklearn/covariance/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests copying build/lib.linux-aarch64-3.6/sklearn/covariance/tests/test_robust_covariance.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests copying build/lib.linux-aarch64-3.6/sklearn/covariance/tests/test_covariance.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture copying build/lib.linux-aarch64-3.6/sklearn/mixture/dpgmm.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture copying build/lib.linux-aarch64-3.6/sklearn/mixture/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture copying build/lib.linux-aarch64-3.6/sklearn/mixture/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture copying build/lib.linux-aarch64-3.6/sklearn/mixture/gmm.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture copying build/lib.linux-aarch64-3.6/sklearn/mixture/bayesian_mixture.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture copying build/lib.linux-aarch64-3.6/sklearn/mixture/gaussian_mixture.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests copying build/lib.linux-aarch64-3.6/sklearn/mixture/tests/test_gmm.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests copying build/lib.linux-aarch64-3.6/sklearn/mixture/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests copying build/lib.linux-aarch64-3.6/sklearn/mixture/tests/test_dpgmm.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests copying build/lib.linux-aarch64-3.6/sklearn/mixture/tests/test_gaussian_mixture.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests copying build/lib.linux-aarch64-3.6/sklearn/mixture/tests/test_bayesian_mixture.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests copying build/lib.linux-aarch64-3.6/sklearn/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing copying build/lib.linux-aarch64-3.6/sklearn/preprocessing/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing copying build/lib.linux-aarch64-3.6/sklearn/preprocessing/label.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing copying build/lib.linux-aarch64-3.6/sklearn/preprocessing/_function_transformer.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing copying build/lib.linux-aarch64-3.6/sklearn/preprocessing/imputation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests copying build/lib.linux-aarch64-3.6/sklearn/preprocessing/tests/test_function_transformer.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests copying build/lib.linux-aarch64-3.6/sklearn/preprocessing/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests copying build/lib.linux-aarch64-3.6/sklearn/preprocessing/tests/test_imputation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests copying build/lib.linux-aarch64-3.6/sklearn/preprocessing/tests/test_label.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests copying build/lib.linux-aarch64-3.6/sklearn/preprocessing/tests/test_data.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests copying build/lib.linux-aarch64-3.6/sklearn/preprocessing/data.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing copying build/lib.linux-aarch64-3.6/sklearn/pipeline.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network copying build/lib.linux-aarch64-3.6/sklearn/neural_network/multilayer_perceptron.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network copying build/lib.linux-aarch64-3.6/sklearn/neural_network/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network copying build/lib.linux-aarch64-3.6/sklearn/neural_network/_base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network copying build/lib.linux-aarch64-3.6/sklearn/neural_network/_stochastic_optimizers.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network copying build/lib.linux-aarch64-3.6/sklearn/neural_network/rbm.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests copying build/lib.linux-aarch64-3.6/sklearn/neural_network/tests/test_rbm.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests copying build/lib.linux-aarch64-3.6/sklearn/neural_network/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests copying build/lib.linux-aarch64-3.6/sklearn/neural_network/tests/test_stochastic_optimizers.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests copying build/lib.linux-aarch64-3.6/sklearn/neural_network/tests/test_mlp.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests copying build/lib.linux-aarch64-3.6/sklearn/random_projection.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection copying build/lib.linux-aarch64-3.6/sklearn/feature_selection/univariate_selection.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection copying build/lib.linux-aarch64-3.6/sklearn/feature_selection/mutual_info_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection copying build/lib.linux-aarch64-3.6/sklearn/feature_selection/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection copying build/lib.linux-aarch64-3.6/sklearn/feature_selection/variance_threshold.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection copying build/lib.linux-aarch64-3.6/sklearn/feature_selection/from_model.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection copying build/lib.linux-aarch64-3.6/sklearn/feature_selection/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection copying build/lib.linux-aarch64-3.6/sklearn/feature_selection/rfe.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-aarch64-3.6/sklearn/feature_selection/tests/test_rfe.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-aarch64-3.6/sklearn/feature_selection/tests/test_feature_select.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-aarch64-3.6/sklearn/feature_selection/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-aarch64-3.6/sklearn/feature_selection/tests/test_chi2.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-aarch64-3.6/sklearn/feature_selection/tests/test_from_model.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-aarch64-3.6/sklearn/feature_selection/tests/test_base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-aarch64-3.6/sklearn/feature_selection/tests/test_variance_threshold.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests copying build/lib.linux-aarch64-3.6/sklearn/feature_selection/tests/test_mutual_info.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process copying build/lib.linux-aarch64-3.6/sklearn/gaussian_process/kernels.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process copying build/lib.linux-aarch64-3.6/sklearn/gaussian_process/correlation_models.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process copying build/lib.linux-aarch64-3.6/sklearn/gaussian_process/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process copying build/lib.linux-aarch64-3.6/sklearn/gaussian_process/regression_models.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process copying build/lib.linux-aarch64-3.6/sklearn/gaussian_process/gaussian_process.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process copying build/lib.linux-aarch64-3.6/sklearn/gaussian_process/gpc.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process copying build/lib.linux-aarch64-3.6/sklearn/gaussian_process/gpr.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests copying build/lib.linux-aarch64-3.6/sklearn/gaussian_process/tests/test_gpr.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests copying build/lib.linux-aarch64-3.6/sklearn/gaussian_process/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests copying build/lib.linux-aarch64-3.6/sklearn/gaussian_process/tests/test_gaussian_process.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests copying build/lib.linux-aarch64-3.6/sklearn/gaussian_process/tests/test_gpc.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests copying build/lib.linux-aarch64-3.6/sklearn/gaussian_process/tests/test_kernels.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests copying build/lib.linux-aarch64-3.6/sklearn/cross_validation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn copying build/lib.linux-aarch64-3.6/sklearn/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-3.6/sklearn/neighbors/classification.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-3.6/sklearn/neighbors/unsupervised.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-3.6/sklearn/neighbors/typedefs.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-3.6/sklearn/neighbors/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-3.6/sklearn/neighbors/approximate.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-3.6/sklearn/neighbors/kd_tree.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-3.6/sklearn/neighbors/quad_tree.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-3.6/sklearn/neighbors/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-3.6/sklearn/neighbors/nearest_centroid.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-3.6/sklearn/neighbors/graph.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-3.6/sklearn/neighbors/kde.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-3.6/sklearn/neighbors/regression.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-3.6/sklearn/neighbors/lof.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-3.6/sklearn/neighbors/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-3.6/sklearn/neighbors/tests/test_neighbors.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-3.6/sklearn/neighbors/tests/test_kde.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-3.6/sklearn/neighbors/tests/test_kd_tree.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-3.6/sklearn/neighbors/tests/test_nearest_centroid.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-3.6/sklearn/neighbors/tests/test_dist_metrics.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-3.6/sklearn/neighbors/tests/test_quad_tree.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-3.6/sklearn/neighbors/tests/test_approximate.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-3.6/sklearn/neighbors/tests/test_lof.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-3.6/sklearn/neighbors/tests/test_ball_tree.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests copying build/lib.linux-aarch64-3.6/sklearn/neighbors/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-3.6/sklearn/neighbors/dist_metrics.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-3.6/sklearn/neighbors/ball_tree.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors copying build/lib.linux-aarch64-3.6/sklearn/multioutput.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition copying build/lib.linux-aarch64-3.6/sklearn/cross_decomposition/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition copying build/lib.linux-aarch64-3.6/sklearn/cross_decomposition/pls_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition copying build/lib.linux-aarch64-3.6/sklearn/cross_decomposition/cca_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests copying build/lib.linux-aarch64-3.6/sklearn/cross_decomposition/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests copying build/lib.linux-aarch64-3.6/sklearn/cross_decomposition/tests/test_pls.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests copying build/lib.linux-aarch64-3.6/sklearn/calibration.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics copying build/lib.linux-aarch64-3.6/sklearn/metrics/pairwise_fast.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics copying build/lib.linux-aarch64-3.6/sklearn/metrics/classification.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics copying build/lib.linux-aarch64-3.6/sklearn/metrics/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics copying build/lib.linux-aarch64-3.6/sklearn/metrics/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics copying build/lib.linux-aarch64-3.6/sklearn/metrics/ranking.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics copying build/lib.linux-aarch64-3.6/sklearn/metrics/regression.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics copying build/lib.linux-aarch64-3.6/sklearn/metrics/pairwise.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics copying build/lib.linux-aarch64-3.6/sklearn/metrics/scorer.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests copying build/lib.linux-aarch64-3.6/sklearn/metrics/tests/test_pairwise.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests copying build/lib.linux-aarch64-3.6/sklearn/metrics/tests/test_regression.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests copying build/lib.linux-aarch64-3.6/sklearn/metrics/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests copying build/lib.linux-aarch64-3.6/sklearn/metrics/tests/test_classification.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests copying build/lib.linux-aarch64-3.6/sklearn/metrics/tests/test_ranking.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests copying build/lib.linux-aarch64-3.6/sklearn/metrics/tests/test_score_objects.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests copying build/lib.linux-aarch64-3.6/sklearn/metrics/tests/test_common.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster copying build/lib.linux-aarch64-3.6/sklearn/metrics/cluster/unsupervised.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster copying build/lib.linux-aarch64-3.6/sklearn/metrics/cluster/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster copying build/lib.linux-aarch64-3.6/sklearn/metrics/cluster/supervised.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster copying build/lib.linux-aarch64-3.6/sklearn/metrics/cluster/expected_mutual_info_fast.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests copying build/lib.linux-aarch64-3.6/sklearn/metrics/cluster/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests copying build/lib.linux-aarch64-3.6/sklearn/metrics/cluster/tests/test_bicluster.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests copying build/lib.linux-aarch64-3.6/sklearn/metrics/cluster/tests/test_unsupervised.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests copying build/lib.linux-aarch64-3.6/sklearn/metrics/cluster/tests/test_supervised.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests copying build/lib.linux-aarch64-3.6/sklearn/metrics/cluster/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster copying build/lib.linux-aarch64-3.6/sklearn/metrics/cluster/bicluster.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster copying build/lib.linux-aarch64-3.6/sklearn/metrics/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised copying build/lib.linux-aarch64-3.6/sklearn/semi_supervised/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised copying build/lib.linux-aarch64-3.6/sklearn/semi_supervised/label_propagation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests copying build/lib.linux-aarch64-3.6/sklearn/semi_supervised/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests copying build/lib.linux-aarch64-3.6/sklearn/semi_supervised/tests/test_label_propagation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests copying build/lib.linux-aarch64-3.6/sklearn/naive_bayes.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-3.6/sklearn/linear_model/sag.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-3.6/sklearn/linear_model/ridge.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-3.6/sklearn/linear_model/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-3.6/sklearn/linear_model/passive_aggressive.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-3.6/sklearn/linear_model/stochastic_gradient.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-3.6/sklearn/linear_model/logistic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-3.6/sklearn/linear_model/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-3.6/sklearn/linear_model/randomized_l1.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-3.6/sklearn/linear_model/perceptron.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-3.6/sklearn/linear_model/sag_fast.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-3.6/sklearn/linear_model/bayes.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-3.6/sklearn/linear_model/omp.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-3.6/sklearn/linear_model/cd_fast.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-3.6/sklearn/linear_model/coordinate_descent.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-3.6/sklearn/linear_model/ransac.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-3.6/sklearn/linear_model/tests/test_sag.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-3.6/sklearn/linear_model/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-3.6/sklearn/linear_model/tests/test_coordinate_descent.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-3.6/sklearn/linear_model/tests/test_omp.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-3.6/sklearn/linear_model/tests/test_ridge.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-3.6/sklearn/linear_model/tests/test_least_angle.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-3.6/sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-3.6/sklearn/linear_model/tests/test_ransac.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-3.6/sklearn/linear_model/tests/test_bayes.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-3.6/sklearn/linear_model/tests/test_theil_sen.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-3.6/sklearn/linear_model/tests/test_perceptron.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-3.6/sklearn/linear_model/tests/test_randomized_l1.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-3.6/sklearn/linear_model/tests/test_sgd.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-3.6/sklearn/linear_model/tests/test_base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-3.6/sklearn/linear_model/tests/test_logistic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-3.6/sklearn/linear_model/tests/test_huber.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-3.6/sklearn/linear_model/tests/test_passive_aggressive.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests copying build/lib.linux-aarch64-3.6/sklearn/linear_model/least_angle.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-3.6/sklearn/linear_model/theil_sen.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-3.6/sklearn/linear_model/huber.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-3.6/sklearn/linear_model/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model copying build/lib.linux-aarch64-3.6/sklearn/linear_model/sgd_fast.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold copying build/lib.linux-aarch64-3.6/sklearn/manifold/mds.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold copying build/lib.linux-aarch64-3.6/sklearn/manifold/t_sne.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold copying build/lib.linux-aarch64-3.6/sklearn/manifold/spectral_embedding_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold copying build/lib.linux-aarch64-3.6/sklearn/manifold/_barnes_hut_tsne.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold copying build/lib.linux-aarch64-3.6/sklearn/manifold/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold copying build/lib.linux-aarch64-3.6/sklearn/manifold/locally_linear.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold copying build/lib.linux-aarch64-3.6/sklearn/manifold/isomap.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold copying build/lib.linux-aarch64-3.6/sklearn/manifold/_utils.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests copying build/lib.linux-aarch64-3.6/sklearn/manifold/tests/test_mds.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests copying build/lib.linux-aarch64-3.6/sklearn/manifold/tests/test_spectral_embedding.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests copying build/lib.linux-aarch64-3.6/sklearn/manifold/tests/test_t_sne.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests copying build/lib.linux-aarch64-3.6/sklearn/manifold/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests copying build/lib.linux-aarch64-3.6/sklearn/manifold/tests/test_isomap.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests copying build/lib.linux-aarch64-3.6/sklearn/manifold/tests/test_locally_linear.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests copying build/lib.linux-aarch64-3.6/sklearn/manifold/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals copying build/lib.linux-aarch64-3.6/sklearn/externals/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals copying build/lib.linux-aarch64-3.6/sklearn/externals/funcsigs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/joblib copying build/lib.linux-aarch64-3.6/sklearn/externals/joblib/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/joblib copying build/lib.linux-aarch64-3.6/sklearn/externals/test_externals_setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals copying build/lib.linux-aarch64-3.6/sklearn/externals/six.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals copying build/lib.linux-aarch64-3.6/sklearn/externals/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals copying build/lib.linux-aarch64-3.6/sklearn/learning_curve.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/_build_utils copying build/lib.linux-aarch64-3.6/sklearn/_build_utils/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/_build_utils copying build/lib.linux-aarch64-3.6/sklearn/kernel_ridge.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn copying build/lib.linux-aarch64-3.6/sklearn/dummy.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/deprecation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/arrayfuncs.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/weight_vector.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/lgamma.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/extmath.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/linear_assignment_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/arpack.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/metaestimators.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/stats.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/graph_shortest_path.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/sparsefuncs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/testing.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/mocking.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/class_weight.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/_logistic_sigmoid.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/sparsefuncs_fast.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/murmurhash.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/graph.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools copying build/lib.linux-aarch64-3.6/sklearn/utils/sparsetools/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/sparsetools/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/sparsetools/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools copying build/lib.linux-aarch64-3.6/sklearn/utils/bench.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/optimize.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/validation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/fast_dict.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/fixes.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/estimator_checks.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_murmurhash.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_linear_assignment.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_fast_dict.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_seq_dataset.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_estimator_checks.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_graph.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_class_weight.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_multiclass.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_metaestimators.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_optimize.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_sparsefuncs.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_shortest_path.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_bench.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_deprecation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_extmath.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_validation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_stats.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_random.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_utils.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_fixes.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/tests/test_testing.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests copying build/lib.linux-aarch64-3.6/sklearn/utils/_random.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/seq_dataset.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/_scipy_sparse_lsqr_backport.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/multiclass.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils copying build/lib.linux-aarch64-3.6/sklearn/utils/random.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection copying build/lib.linux-aarch64-3.6/sklearn/model_selection/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests copying build/lib.linux-aarch64-3.6/sklearn/model_selection/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests copying build/lib.linux-aarch64-3.6/sklearn/model_selection/tests/common.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests copying build/lib.linux-aarch64-3.6/sklearn/model_selection/tests/test_search.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests copying build/lib.linux-aarch64-3.6/sklearn/model_selection/tests/test_validation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests copying build/lib.linux-aarch64-3.6/sklearn/model_selection/tests/test_split.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests copying build/lib.linux-aarch64-3.6/sklearn/model_selection/_split.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection copying build/lib.linux-aarch64-3.6/sklearn/model_selection/_validation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection copying build/lib.linux-aarch64-3.6/sklearn/model_selection/_search.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection copying build/lib.linux-aarch64-3.6/sklearn/discriminant_analysis.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree copying build/lib.linux-aarch64-3.6/sklearn/tree/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree copying build/lib.linux-aarch64-3.6/sklearn/tree/export.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree copying build/lib.linux-aarch64-3.6/sklearn/tree/_tree.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree copying build/lib.linux-aarch64-3.6/sklearn/tree/tree.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree copying build/lib.linux-aarch64-3.6/sklearn/tree/_utils.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree copying build/lib.linux-aarch64-3.6/sklearn/tree/_splitter.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests copying build/lib.linux-aarch64-3.6/sklearn/tree/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests copying build/lib.linux-aarch64-3.6/sklearn/tree/tests/test_tree.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests copying build/lib.linux-aarch64-3.6/sklearn/tree/tests/test_export.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests copying build/lib.linux-aarch64-3.6/sklearn/tree/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree copying build/lib.linux-aarch64-3.6/sklearn/tree/_criterion.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_multioutput.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_dummy.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_isotonic.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_grid_search.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_config.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_multiclass.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_metaestimators.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_kernel_approximation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_kernel_ridge.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_calibration.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_docstring_parameters.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_naive_bayes.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_init.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_cross_validation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_pipeline.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_common.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_check_build.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_learning_curve.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_discriminant_analysis.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/tests/test_random_projection.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests copying build/lib.linux-aarch64-3.6/sklearn/grid_search.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-3.6/sklearn/cluster/dbscan_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-3.6/sklearn/cluster/birch.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-3.6/sklearn/cluster/mean_shift_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-3.6/sklearn/cluster/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-3.6/sklearn/cluster/_feature_agglomeration.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-3.6/sklearn/cluster/_hierarchical.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-3.6/sklearn/cluster/hierarchical.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-3.6/sklearn/cluster/_dbscan_inner.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-3.6/sklearn/cluster/spectral.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-3.6/sklearn/cluster/tests/test_dbscan.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-3.6/sklearn/cluster/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-3.6/sklearn/cluster/tests/common.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-3.6/sklearn/cluster/tests/test_bicluster.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-3.6/sklearn/cluster/tests/test_spectral.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-3.6/sklearn/cluster/tests/test_k_means.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-3.6/sklearn/cluster/tests/test_mean_shift.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-3.6/sklearn/cluster/tests/test_affinity_propagation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-3.6/sklearn/cluster/tests/test_birch.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-3.6/sklearn/cluster/tests/test_hierarchical.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests copying build/lib.linux-aarch64-3.6/sklearn/cluster/k_means_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-3.6/sklearn/cluster/_k_means_elkan.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-3.6/sklearn/cluster/_k_means.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-3.6/sklearn/cluster/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-3.6/sklearn/cluster/bicluster.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-3.6/sklearn/cluster/affinity_propagation_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster copying build/lib.linux-aarch64-3.6/sklearn/kernel_approximation.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn copying build/lib.linux-aarch64-3.6/sklearn/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-3.6/sklearn/decomposition/pca.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-3.6/sklearn/decomposition/dict_learning.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-3.6/sklearn/decomposition/factor_analysis.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-3.6/sklearn/decomposition/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-3.6/sklearn/decomposition/truncated_svd.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-3.6/sklearn/decomposition/_online_lda.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-3.6/sklearn/decomposition/cdnmf_fast.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-3.6/sklearn/decomposition/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-3.6/sklearn/decomposition/fastica_.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-3.6/sklearn/decomposition/sparse_pca.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-3.6/sklearn/decomposition/online_lda.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-3.6/sklearn/decomposition/incremental_pca.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-3.6/sklearn/decomposition/nmf.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-3.6/sklearn/decomposition/tests/test_fastica.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-3.6/sklearn/decomposition/tests/test_kernel_pca.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-3.6/sklearn/decomposition/tests/test_dict_learning.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-3.6/sklearn/decomposition/tests/test_sparse_pca.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-3.6/sklearn/decomposition/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-3.6/sklearn/decomposition/tests/test_truncated_svd.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-3.6/sklearn/decomposition/tests/test_nmf.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-3.6/sklearn/decomposition/tests/test_online_lda.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-3.6/sklearn/decomposition/tests/test_pca.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-3.6/sklearn/decomposition/tests/test_incremental_pca.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-3.6/sklearn/decomposition/tests/test_factor_analysis.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests copying build/lib.linux-aarch64-3.6/sklearn/decomposition/kernel_pca.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-3.6/sklearn/decomposition/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition copying build/lib.linux-aarch64-3.6/sklearn/multiclass.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn copying build/lib.linux-aarch64-3.6/sklearn/exceptions.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction copying build/lib.linux-aarch64-3.6/sklearn/feature_extraction/_hashing.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction copying build/lib.linux-aarch64-3.6/sklearn/feature_extraction/hashing.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction copying build/lib.linux-aarch64-3.6/sklearn/feature_extraction/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction copying build/lib.linux-aarch64-3.6/sklearn/feature_extraction/image.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction copying build/lib.linux-aarch64-3.6/sklearn/feature_extraction/dict_vectorizer.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction copying build/lib.linux-aarch64-3.6/sklearn/feature_extraction/stop_words.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-aarch64-3.6/sklearn/feature_extraction/tests/test_dict_vectorizer.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-aarch64-3.6/sklearn/feature_extraction/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-aarch64-3.6/sklearn/feature_extraction/tests/test_text.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-aarch64-3.6/sklearn/feature_extraction/tests/test_feature_hasher.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-aarch64-3.6/sklearn/feature_extraction/tests/test_image.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests copying build/lib.linux-aarch64-3.6/sklearn/feature_extraction/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction copying build/lib.linux-aarch64-3.6/sklearn/feature_extraction/text.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm copying build/lib.linux-aarch64-3.6/sklearn/svm/classes.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm copying build/lib.linux-aarch64-3.6/sklearn/svm/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm copying build/lib.linux-aarch64-3.6/sklearn/svm/libsvm.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm copying build/lib.linux-aarch64-3.6/sklearn/svm/base.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm copying build/lib.linux-aarch64-3.6/sklearn/svm/bounds.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm copying build/lib.linux-aarch64-3.6/sklearn/svm/libsvm_sparse.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm copying build/lib.linux-aarch64-3.6/sklearn/svm/liblinear.cpython-36m-aarch64-linux-gnu.so -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests copying build/lib.linux-aarch64-3.6/sklearn/svm/tests/__init__.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests copying build/lib.linux-aarch64-3.6/sklearn/svm/tests/test_sparse.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests copying build/lib.linux-aarch64-3.6/sklearn/svm/tests/test_bounds.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests copying build/lib.linux-aarch64-3.6/sklearn/svm/tests/test_svm.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests copying build/lib.linux-aarch64-3.6/sklearn/svm/setup.py -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build/setup.py to setup.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/gradient_boosting.py to gradient_boosting.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/iforest.py to iforest.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py to bagging.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/base.py to base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/partial_dependence.py to partial_dependence.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/forest.py to forest.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/weight_boosting.py to weight_boosting.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/voting_classifier.py to voting_classifier.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py to test_forest.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_partial_dependence.py to test_partial_dependence.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_iforest.py to test_iforest.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_bagging.py to test_bagging.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_weight_boosting.py to test_weight_boosting.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_gradient_boosting.py to test_gradient_boosting.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py to test_gradient_boosting_loss_functions.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_voting_classifier.py to test_voting_classifier.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_base.py to test_base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/setup.py to setup.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/svmlight_format.py to svmlight_format.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/olivetti_faces.py to olivetti_faces.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/lfw.py to lfw.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/kddcup99.py to kddcup99.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/mlcomp.py to mlcomp.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/california_housing.py to california_housing.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/species_distributions.py to species_distributions.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/base.py to base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/twenty_newsgroups.py to twenty_newsgroups.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/covtype.py to covtype.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/rcv1.py to rcv1.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/mldata.py to mldata.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_samples_generator.py to test_samples_generator.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_lfw.py to test_lfw.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_covtype.py to test_covtype.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_mldata.py to test_mldata.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_svmlight_format.py to test_svmlight_format.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_base.py to test_base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_20news.py to test_20news.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_rcv1.py to test_rcv1.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_kddcup99.py to test_kddcup99.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/samples_generator.py to samples_generator.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/setup.py to setup.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/isotonic.py to isotonic.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/robust_covariance.py to robust_covariance.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/shrunk_covariance_.py to shrunk_covariance_.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/outlier_detection.py to outlier_detection.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/empirical_covariance_.py to empirical_covariance_.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/graph_lasso_.py to graph_lasso_.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_graph_lasso.py to test_graph_lasso.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_robust_covariance.py to test_robust_covariance.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_covariance.py to test_covariance.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py to dpgmm.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/base.py to base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py to gmm.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/bayesian_mixture.py to bayesian_mixture.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gaussian_mixture.py to gaussian_mixture.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_gmm.py to test_gmm.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_dpgmm.py to test_dpgmm.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_gaussian_mixture.py to test_gaussian_mixture.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_bayesian_mixture.py to test_bayesian_mixture.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py to label.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/_function_transformer.py to _function_transformer.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/imputation.py to imputation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_function_transformer.py to test_function_transformer.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_imputation.py to test_imputation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_label.py to test_label.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_data.py to test_data.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/data.py to data.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/pipeline.py to pipeline.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py to multilayer_perceptron.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/_base.py to _base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/_stochastic_optimizers.py to _stochastic_optimizers.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/rbm.py to rbm.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests/test_rbm.py to test_rbm.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests/test_stochastic_optimizers.py to test_stochastic_optimizers.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests/test_mlp.py to test_mlp.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py to random_projection.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/univariate_selection.py to univariate_selection.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/mutual_info_.py to mutual_info_.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/variance_threshold.py to variance_threshold.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/from_model.py to from_model.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/base.py to base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/rfe.py to rfe.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_rfe.py to test_rfe.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_feature_select.py to test_feature_select.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_chi2.py to test_chi2.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_from_model.py to test_from_model.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_base.py to test_base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_variance_threshold.py to test_variance_threshold.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_mutual_info.py to test_mutual_info.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py to kernels.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/correlation_models.py to correlation_models.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/regression_models.py to regression_models.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gaussian_process.py to gaussian_process.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py to gpc.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpr.py to gpr.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_gpr.py to test_gpr.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_gaussian_process.py to test_gaussian_process.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_gpc.py to test_gpc.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_kernels.py to test_kernels.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_validation.py to cross_validation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/base.py to base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/classification.py to classification.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/unsupervised.py to unsupervised.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/approximate.py to approximate.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/base.py to base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/nearest_centroid.py to nearest_centroid.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/graph.py to graph.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/kde.py to kde.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/regression.py to regression.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/lof.py to lof.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py to test_neighbors.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kde.py to test_kde.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kd_tree.py to test_kd_tree.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_nearest_centroid.py to test_nearest_centroid.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_dist_metrics.py to test_dist_metrics.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_quad_tree.py to test_quad_tree.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_approximate.py to test_approximate.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_lof.py to test_lof.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_ball_tree.py to test_ball_tree.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/setup.py to setup.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/multioutput.py to multioutput.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py to pls_.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/cca_.py to cca_.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests/test_pls.py to test_pls.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/calibration.py to calibration.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py to classification.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/base.py to base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/ranking.py to ranking.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/regression.py to regression.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py to pairwise.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/scorer.py to scorer.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py to test_pairwise.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_regression.py to test_regression.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_classification.py to test_classification.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_ranking.py to test_ranking.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py to test_score_objects.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py to test_common.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/unsupervised.py to unsupervised.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/supervised.py to supervised.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_bicluster.py to test_bicluster.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_unsupervised.py to test_unsupervised.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py to test_supervised.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/setup.py to setup.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/bicluster.py to bicluster.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/setup.py to setup.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py to label_propagation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests/test_label_propagation.py to test_label_propagation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py to naive_bayes.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py to sag.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/ridge.py to ridge.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/passive_aggressive.py to passive_aggressive.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py to stochastic_gradient.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/logistic.py to logistic.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py to base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py to randomized_l1.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/perceptron.py to perceptron.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/bayes.py to bayes.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/omp.py to omp.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py to coordinate_descent.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/ransac.py to ransac.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py to test_sag.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_coordinate_descent.py to test_coordinate_descent.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_omp.py to test_omp.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py to test_ridge.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_least_angle.py to test_least_angle.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sparse_coordinate_descent.py to test_sparse_coordinate_descent.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ransac.py to test_ransac.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_bayes.py to test_bayes.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_theil_sen.py to test_theil_sen.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_perceptron.py to test_perceptron.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_randomized_l1.py to test_randomized_l1.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py to test_sgd.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_base.py to test_base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_logistic.py to test_logistic.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_huber.py to test_huber.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_passive_aggressive.py to test_passive_aggressive.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/least_angle.py to least_angle.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py to theil_sen.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/huber.py to huber.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/setup.py to setup.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/mds.py to mds.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/t_sne.py to t_sne.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py to spectral_embedding_.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/locally_linear.py to locally_linear.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/isomap.py to isomap.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_mds.py to test_mds.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_spectral_embedding.py to test_spectral_embedding.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_t_sne.py to test_t_sne.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_isomap.py to test_isomap.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_locally_linear.py to test_locally_linear.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/setup.py to setup.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/funcsigs.py to funcsigs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/joblib/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/test_externals_setup.py to test_externals_setup.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/six.py to six.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/setup.py to setup.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/learning_curve.py to learning_curve.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/_build_utils/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_ridge.py to kernel_ridge.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/dummy.py to dummy.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py to deprecation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py to extmath.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/linear_assignment_.py to linear_assignment_.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/arpack.py to arpack.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/metaestimators.py to metaestimators.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/stats.py to stats.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsefuncs.py to sparsefuncs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/testing.py to testing.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/mocking.py to mocking.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/class_weight.py to class_weight.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/graph.py to graph.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/setup.py to setup.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/bench.py to bench.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/optimize.py to optimize.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py to validation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/fixes.py to fixes.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py to estimator_checks.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_murmurhash.py to test_murmurhash.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_linear_assignment.py to test_linear_assignment.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_fast_dict.py to test_fast_dict.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_seq_dataset.py to test_seq_dataset.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_estimator_checks.py to test_estimator_checks.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_graph.py to test_graph.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_class_weight.py to test_class_weight.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_multiclass.py to test_multiclass.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_metaestimators.py to test_metaestimators.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_optimize.py to test_optimize.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py to test_sparsefuncs.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_shortest_path.py to test_shortest_path.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_bench.py to test_bench.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_deprecation.py to test_deprecation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_extmath.py to test_extmath.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py to test_validation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_stats.py to test_stats.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_random.py to test_random.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_utils.py to test_utils.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_fixes.py to test_fixes.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_testing.py to test_testing.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/setup.py to setup.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/_scipy_sparse_lsqr_backport.py to _scipy_sparse_lsqr_backport.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/multiclass.py to multiclass.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/random.py to random.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/common.py to common.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/test_search.py to test_search.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/test_validation.py to test_validation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/test_split.py to test_split.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_split.py to _split.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py to _validation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_search.py to _search.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py to discriminant_analysis.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/export.py to export.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py to tree.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/test_tree.py to test_tree.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/test_export.py to test_export.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/setup.py to setup.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_multioutput.py to test_multioutput.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_dummy.py to test_dummy.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_isotonic.py to test_isotonic.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_grid_search.py to test_grid_search.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_config.py to test_config.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_multiclass.py to test_multiclass.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_metaestimators.py to test_metaestimators.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_kernel_approximation.py to test_kernel_approximation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_kernel_ridge.py to test_kernel_ridge.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_calibration.py to test_calibration.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py to test_docstring_parameters.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_naive_bayes.py to test_naive_bayes.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_init.py to test_init.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_cross_validation.py to test_cross_validation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_pipeline.py to test_pipeline.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py to test_common.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_check_build.py to test_check_build.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_learning_curve.py to test_learning_curve.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_discriminant_analysis.py to test_discriminant_analysis.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_base.py to test_base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_random_projection.py to test_random_projection.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/grid_search.py to grid_search.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/dbscan_.py to dbscan_.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py to birch.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/mean_shift_.py to mean_shift_.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/_feature_agglomeration.py to _feature_agglomeration.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/hierarchical.py to hierarchical.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/spectral.py to spectral.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_dbscan.py to test_dbscan.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/common.py to common.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_bicluster.py to test_bicluster.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py to test_spectral.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_k_means.py to test_k_means.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_mean_shift.py to test_mean_shift.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_affinity_propagation.py to test_affinity_propagation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_birch.py to test_birch.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_hierarchical.py to test_hierarchical.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py to k_means_.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/setup.py to setup.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/bicluster.py to bicluster.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/affinity_propagation_.py to affinity_propagation_.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py to kernel_approximation.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/setup.py to setup.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/pca.py to pca.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/dict_learning.py to dict_learning.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/factor_analysis.py to factor_analysis.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/truncated_svd.py to truncated_svd.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/base.py to base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py to fastica_.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/sparse_pca.py to sparse_pca.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/online_lda.py to online_lda.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/incremental_pca.py to incremental_pca.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/nmf.py to nmf.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_fastica.py to test_fastica.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_kernel_pca.py to test_kernel_pca.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_dict_learning.py to test_dict_learning.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_sparse_pca.py to test_sparse_pca.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_truncated_svd.py to test_truncated_svd.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_nmf.py to test_nmf.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_online_lda.py to test_online_lda.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_pca.py to test_pca.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_incremental_pca.py to test_incremental_pca.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_factor_analysis.py to test_factor_analysis.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/kernel_pca.py to kernel_pca.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/setup.py to setup.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/multiclass.py to multiclass.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/exceptions.py to exceptions.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/hashing.py to hashing.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/image.py to image.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/dict_vectorizer.py to dict_vectorizer.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/stop_words.py to stop_words.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_dict_vectorizer.py to test_dict_vectorizer.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_text.py to test_text.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_feature_hasher.py to test_feature_hasher.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_image.py to test_image.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/setup.py to setup.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/text.py to text.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/classes.py to classes.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/base.py to base.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/bounds.py to bounds.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/__init__.py to __init__.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_sparse.py to test_sparse.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_bounds.py to test_bounds.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_svm.py to test_svm.cpython-36.pyc byte-compiling /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/setup.py to setup.cpython-36.pyc running install_data creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data copying sklearn/datasets/data/boston_house_prices.csv -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/wine_data.csv -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/diabetes_data.csv.gz -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/diabetes_target.csv.gz -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/breast_cancer.csv -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/iris.csv -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/linnerud_physiological.csv -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/digits.csv.gz -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/ copying sklearn/datasets/data/linnerud_exercise.csv -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/ creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr copying sklearn/datasets/descr/linnerud.rst -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/digits.rst -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/iris.rst -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/diabetes.rst -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/breast_cancer.rst -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/wine_data.rst -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/ copying sklearn/datasets/descr/boston_house_prices.rst -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/ creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images copying sklearn/datasets/images/flower.jpg -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images/ copying sklearn/datasets/images/china.jpg -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images/ copying sklearn/datasets/images/README.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images/ creating /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data copying sklearn/datasets/tests/data/svmlight_invalid_order.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data/ copying sklearn/datasets/tests/data/svmlight_classification.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data/ copying sklearn/datasets/tests/data/svmlight_invalid.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data/ copying sklearn/datasets/tests/data/svmlight_multilabel.txt -> /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data/ running install_egg_info Writing /<>/debian/tmp/usr/lib/python3/dist-packages/scikit_learn-0.19.1.egg-info running install_clib Partial import of sklearn during the build process. /usr/lib/python3/dist-packages/numpy/distutils/system_info.py:572: UserWarning: Atlas (http://math-atlas.sourceforge.net/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [atlas]) or by setting the ATLAS environment variable. self.calc_info() /usr/lib/python3/dist-packages/numpy/distutils/system_info.py:572: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. self.calc_info() /usr/lib/python3/dist-packages/numpy/distutils/system_info.py:572: UserWarning: Blas (http://www.netlib.org/blas/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [blas_src]) or by setting the BLAS_SRC environment variable. self.calc_info() sklearn/setup.py:72: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. warnings.warn(BlasNotFoundError.__doc__) : # Run unittests here against installed scikits.learn dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! echo "2.7" | grep -q '^3' && PY=3 || PY=2.7; \ export PYTHONPATH=`/bin/ls -d $PWD/debian/tmp/usr/lib/python$PY/*/`; \ export MPLCONFIGDIR=/<>/build HOME=/<>/build; \ export JOBLIB_MULTIPROCESSING=2; \ cd build/; python2.7 /usr/bin/nosetests -s -v --exclude=test_dump sklearn && \ { python2.7 /usr/bin/nosetests -v --with-doctest --doctest-extension=rst ../doc/ || : ; } # doctests are failing ATM /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/learning_curve.py:22: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the functions are moved. This module will be removed in 0.20 DeprecationWarning) sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation ... ok sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation_predict ... ok sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation_predict_error ... ok sklearn.cluster.tests.test_bicluster.test_get_submatrix ... ok sklearn.cluster.tests.test_bicluster.test_spectral_coclustering ... ok sklearn.cluster.tests.test_bicluster.test_spectral_biclustering ... ok sklearn.cluster.tests.test_bicluster.test_scale_normalize ... ok sklearn.cluster.tests.test_bicluster.test_bistochastic_normalize ... ok sklearn.cluster.tests.test_bicluster.test_log_normalize ... ok sklearn.cluster.tests.test_bicluster.test_fit_best_piecewise ... ok sklearn.cluster.tests.test_bicluster.test_project_and_cluster ... ok sklearn.cluster.tests.test_bicluster.test_perfect_checkerboard ... SKIP: This test is failing on the buildbot, but cannot reproduce. Temporarily disabling it until it can be reproduced and fixed. sklearn.cluster.tests.test_bicluster.test_errors ... ok sklearn.cluster.tests.test_birch.test_n_samples_leaves_roots ... ok sklearn.cluster.tests.test_birch.test_partial_fit ... ok sklearn.cluster.tests.test_birch.test_birch_predict ... ok sklearn.cluster.tests.test_birch.test_n_clusters ... ok sklearn.cluster.tests.test_birch.test_sparse_X ... ok sklearn.cluster.tests.test_birch.test_branching_factor ... ok sklearn.cluster.tests.test_birch.test_threshold ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_similarity ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_feature ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_sparse ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_sparse_precomputed ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_no_core_samples ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_callable ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_metric_params ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/dbscan_.py:141: SyntaxWarning: Parameter p is found in metric_params. The corresponding parameter from __init__ is ignored. n_jobs=n_jobs) ok sklearn.cluster.tests.test_dbscan.test_dbscan_balltree ... ok sklearn.cluster.tests.test_dbscan.test_input_validation ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_badargs ... ok sklearn.cluster.tests.test_dbscan.test_pickle ... ok sklearn.cluster.tests.test_dbscan.test_boundaries ... ok sklearn.cluster.tests.test_dbscan.test_weighted_dbscan ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_core_samples_toy ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_precomputed_metric_with_degenerate_input_arrays ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_precomputed_metric_with_initial_rows_zero ... ok sklearn.cluster.tests.test_hierarchical.test_deprecation_of_n_components_in_linkage_tree ... ok sklearn.cluster.tests.test_hierarchical.test_linkage_misc ... ok sklearn.cluster.tests.test_hierarchical.test_structured_linkage_tree ... ok sklearn.cluster.tests.test_hierarchical.test_unstructured_linkage_tree ... ok sklearn.cluster.tests.test_hierarchical.test_height_linkage_tree ... ok sklearn.cluster.tests.test_hierarchical.test_agglomerative_clustering_wrong_arg_memory ... ok sklearn.cluster.tests.test_hierarchical.test_agglomerative_clustering ... ok sklearn.cluster.tests.test_hierarchical.test_ward_agglomeration ... ok sklearn.cluster.tests.test_hierarchical.test_scikit_vs_scipy ... ok sklearn.cluster.tests.test_hierarchical.test_connectivity_propagation ... ok sklearn.cluster.tests.test_hierarchical.test_ward_tree_children_order ... ok sklearn.cluster.tests.test_hierarchical.test_ward_linkage_tree_return_distance ... ok sklearn.cluster.tests.test_hierarchical.test_connectivity_fixing_non_lil ... ok sklearn.cluster.tests.test_hierarchical.test_int_float_dict ... ok sklearn.cluster.tests.test_hierarchical.test_connectivity_callable ... ok sklearn.cluster.tests.test_hierarchical.test_connectivity_ignores_diagonal ... ok sklearn.cluster.tests.test_hierarchical.test_compute_full_tree ... ok sklearn.cluster.tests.test_hierarchical.test_n_components ... ok sklearn.cluster.tests.test_hierarchical.test_agg_n_clusters ... ok sklearn.cluster.tests.test_hierarchical.test_affinity_passed_to_fix_connectivity ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/hierarchical.py:426: UserWarning: the number of connected components of the connectivity matrix is 2 > 1. Completing it to avoid stopping the tree early. affinity=affinity) ok sklearn.cluster.tests.test_k_means.test_elkan_results ... ok sklearn.cluster.tests.test_k_means.test_labels_assignment_and_inertia ... ok sklearn.cluster.tests.test_k_means.test_minibatch_update_consistency ... ok sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_new_centers ... ok sklearn.cluster.tests.test_k_means.test_k_means_precompute_distances_flag ... ok sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_sparse ... ok sklearn.cluster.tests.test_k_means.test_k_means_random_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_random_init_sparse ... ok sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_not_precomputed ... ok sklearn.cluster.tests.test_k_means.test_k_means_random_init_not_precomputed ... ok sklearn.cluster.tests.test_k_means.test_k_means_perfect_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_n_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_explicit_init_shape ... ok sklearn.cluster.tests.test_k_means.test_k_means_fortran_aligned_data ... ok sklearn.cluster.tests.test_k_means.test_mb_k_means_plus_plus_init_dense_array ... ok sklearn.cluster.tests.test_k_means.test_mb_kmeans_verbose ... ok sklearn.cluster.tests.test_k_means.test_mb_k_means_plus_plus_init_sparse_matrix ... ok sklearn.cluster.tests.test_k_means.test_minibatch_init_with_large_k ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_random_init_dense_array ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_random_init_sparse_csr ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_perfect_init_dense_array ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_init_multiple_runs_with_explicit_centers ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_perfect_init_sparse_csr ... ok sklearn.cluster.tests.test_k_means.test_minibatch_sensible_reassign_fit ... ok sklearn.cluster.tests.test_k_means.test_minibatch_sensible_reassign_partial_fit ... ok sklearn.cluster.tests.test_k_means.test_minibatch_reassign ... ok sklearn.cluster.tests.test_k_means.test_minibatch_with_many_reassignments ... ok sklearn.cluster.tests.test_k_means.test_sparse_mb_k_means_callable_init ... ok sklearn.cluster.tests.test_k_means.test_mini_batch_k_means_random_init_partial_fit ... ok sklearn.cluster.tests.test_k_means.test_minibatch_default_init_size ... ok sklearn.cluster.tests.test_k_means.test_minibatch_tol ... ok sklearn.cluster.tests.test_k_means.test_minibatch_set_init_size ... ok sklearn.cluster.tests.test_k_means.test_k_means_invalid_init ... ok sklearn.cluster.tests.test_k_means.test_mini_match_k_means_invalid_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_copyx ... ok sklearn.cluster.tests.test_k_means.test_k_means_non_collapsed ... ok sklearn.cluster.tests.test_k_means.test_predict ... ok sklearn.cluster.tests.test_k_means.test_score ... ok sklearn.cluster.tests.test_k_means.test_predict_minibatch_dense_input ... ok sklearn.cluster.tests.test_k_means.test_predict_minibatch_kmeanspp_init_sparse_input ... ok sklearn.cluster.tests.test_k_means.test_predict_minibatch_random_init_sparse_input ... ok sklearn.cluster.tests.test_k_means.test_int_input ... ok sklearn.cluster.tests.test_k_means.test_transform ... ok sklearn.cluster.tests.test_k_means.test_fit_transform ... ok sklearn.cluster.tests.test_k_means.test_predict_equal_labels ... ok sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_2_jobs ... SKIP: Possible multi-process bug with some BLAS under Python < 3.4 sklearn.cluster.tests.test_k_means.test_full_vs_elkan ... ok sklearn.cluster.tests.test_k_means.test_n_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_function ... ok Test that x_squared_norms can be None in _init_centroids ... ok sklearn.cluster.tests.test_k_means.test_max_iter_error ... ok sklearn.cluster.tests.test_k_means.test_float_precision ... ok sklearn.cluster.tests.test_k_means.test_k_means_init_centers ... ok sklearn.cluster.tests.test_k_means.test_sparse_k_means_init_centers ... ok sklearn.cluster.tests.test_k_means.test_sparse_validate_centers ... ok sklearn.cluster.tests.test_mean_shift.test_estimate_bandwidth ... ok sklearn.cluster.tests.test_mean_shift.test_mean_shift ... ok sklearn.cluster.tests.test_mean_shift.test_estimate_bandwidth_with_sparse_matrix ... ok sklearn.cluster.tests.test_mean_shift.test_parallel ... I: Seeding RNGs with 335629612 Converged after 58 iterations. ok sklearn.cluster.tests.test_mean_shift.test_meanshift_predict ... ok sklearn.cluster.tests.test_mean_shift.test_meanshift_all_orphans ... ok sklearn.cluster.tests.test_mean_shift.test_unfitted ... ok sklearn.cluster.tests.test_mean_shift.test_bin_seeds ... ok sklearn.cluster.tests.test_spectral.test_spectral_clustering ... ok sklearn.cluster.tests.test_spectral.test_spectral_amg_mode ... ok sklearn.cluster.tests.test_spectral.test_spectral_unknown_mode ... ok sklearn.cluster.tests.test_spectral.test_spectral_unknown_assign_labels ... ok sklearn.cluster.tests.test_spectral.test_spectral_clustering_sparse ... ok sklearn.cluster.tests.test_spectral.test_affinities ... ok sklearn.cluster.tests.test_spectral.test_discretize ... ok sklearn.covariance.tests.test_covariance.test_covariance ... ok sklearn.covariance.tests.test_covariance.test_shrunk_covariance ... ok sklearn.covariance.tests.test_covariance.test_ledoit_wolf ... ok sklearn.covariance.tests.test_covariance.test_ledoit_wolf_small ... ok sklearn.covariance.tests.test_covariance.test_ledoit_wolf_large ... ok sklearn.covariance.tests.test_covariance.test_oas ... ok sklearn.covariance.tests.test_graph_lasso.test_graph_lasso ... ok sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_iris ... ok sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_iris_singular ... ok sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_cv ... ok sklearn.covariance.tests.test_graph_lasso.test_deprecated_grid_scores ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function grid_scores is deprecated; Attribute grid_scores was deprecated in version 0.19 and will be removed in 0.21. Use ``grid_scores_`` instead warnings.warn(msg, category=DeprecationWarning) ok sklearn.covariance.tests.test_robust_covariance.test_mcd ... ok sklearn.covariance.tests.test_robust_covariance.test_fast_mcd_on_invalid_input ... ok sklearn.covariance.tests.test_robust_covariance.test_mcd_class_on_invalid_input ... ok sklearn.covariance.tests.test_robust_covariance.test_mcd_issue1127 ... ok sklearn.covariance.tests.test_robust_covariance.test_mcd_issue3367 ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/robust_covariance.py:622: UserWarning: The covariance matrix associated to your dataset is not full rank warnings.warn("The covariance matrix associated to your dataset " ok sklearn.covariance.tests.test_robust_covariance.test_outlier_detection ... ok sklearn.cross_decomposition.tests.test_pls.test_pls ... ok sklearn.cross_decomposition.tests.test_pls.test_PLSSVD ... ok sklearn.cross_decomposition.tests.test_pls.test_univariate_pls_regression ... ok sklearn.cross_decomposition.tests.test_pls.test_predict_transform_copy ... ok sklearn.cross_decomposition.tests.test_pls.test_scale_and_stability ... ok sklearn.cross_decomposition.tests.test_pls.test_pls_errors ... ok sklearn.cross_decomposition.tests.test_pls.test_pls_scaling ... ok sklearn.datasets.tests.test_20news.test_20news ... SKIP: Download 20 newsgroups to run this test Checks the length consistencies within the bunch ... SKIP: Download 20 newsgroups to run this test sklearn.datasets.tests.test_20news.test_20news_vectorized ... SKIP: Download 20 newsgroups to run this test sklearn.datasets.tests.test_base.test_data_home ... ok sklearn.datasets.tests.test_base.test_default_empty_load_files ... ok sklearn.datasets.tests.test_base.test_default_load_files ... ok sklearn.datasets.tests.test_base.test_load_files_w_categories_desc_and_encoding ... ok sklearn.datasets.tests.test_base.test_load_files_wo_load_content ... ok sklearn.datasets.tests.test_base.test_load_sample_images ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:124: UserWarning: Could not load sample images, PIL is not available. warnings.warn("Could not load sample images, PIL is not available.") ok sklearn.datasets.tests.test_base.test_load_digits ... ok sklearn.datasets.tests.test_base.test_load_digits_n_class_lt_10 ... ok sklearn.datasets.tests.test_base.test_load_sample_image ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:152: UserWarning: Could not load sample images, PIL is not available. warnings.warn("Could not load sample images, PIL is not available.") ok sklearn.datasets.tests.test_base.test_load_missing_sample_image_error ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:168: UserWarning: Could not load sample images, PIL is not available. warnings.warn("Could not load sample images, PIL is not available.") ok sklearn.datasets.tests.test_base.test_load_diabetes ... ok sklearn.datasets.tests.test_base.test_load_linnerud ... ok sklearn.datasets.tests.test_base.test_load_iris ... ok sklearn.datasets.tests.test_base.test_load_wine ... ok sklearn.datasets.tests.test_base.test_load_breast_cancer ... ok sklearn.datasets.tests.test_base.test_load_boston ... ok sklearn.datasets.tests.test_base.test_loads_dumps_bunch ... ok sklearn.datasets.tests.test_base.test_bunch_pickle_generated_with_0_16_and_read_with_0_17 ... ok sklearn.datasets.tests.test_base.test_bunch_dir ... ok sklearn.datasets.tests.test_covtype.test_fetch ... SKIP: Covertype dataset can not be loaded. sklearn.datasets.tests.test_kddcup99.test_percent10 ... SKIP: kddcup99 dataset can not be loaded. SKIP: PIL not installed. sklearn.datasets.tests.test_mldata.test_mldata_filename ... ok Test that fetch_mldata is able to download and cache a data set. ... ok sklearn.datasets.tests.test_mldata.test_fetch_one_column ... ok sklearn.datasets.tests.test_mldata.test_fetch_multiple_column ... ok sklearn.datasets.tests.test_rcv1.test_fetch_rcv1 ... SKIP: Download RCV1 dataset to run this test. sklearn.datasets.tests.test_samples_generator.test_make_classification ... ok Test the construction of informative features in make_classification ... ok sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_sequences ... ok sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_indicator ... ok sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_indicator_sparse ... ok sklearn.datasets.tests.test_samples_generator.test_make_hastie_10_2 ... ok sklearn.datasets.tests.test_samples_generator.test_make_regression ... ok sklearn.datasets.tests.test_samples_generator.test_make_regression_multitarget ... ok sklearn.datasets.tests.test_samples_generator.test_make_blobs ... ok sklearn.datasets.tests.test_samples_generator.test_make_friedman1 ... ok sklearn.datasets.tests.test_samples_generator.test_make_friedman2 ... ok sklearn.datasets.tests.test_samples_generator.test_make_friedman3 ... ok sklearn.datasets.tests.test_samples_generator.test_make_low_rank_matrix ... ok sklearn.datasets.tests.test_samples_generator.test_make_sparse_coded_signal ... ok sklearn.datasets.tests.test_samples_generator.test_make_sparse_uncorrelated ... ok sklearn.datasets.tests.test_samples_generator.test_make_spd_matrix ... ok sklearn.datasets.tests.test_samples_generator.test_make_swiss_roll ... ok sklearn.datasets.tests.test_samples_generator.test_make_s_curve ... ok sklearn.datasets.tests.test_samples_generator.test_make_biclusters ... ok sklearn.datasets.tests.test_samples_generator.test_make_checkerboard ... ok sklearn.datasets.tests.test_samples_generator.test_make_moons ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_fd ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_multilabel ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_files ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_n_features ... ok sklearn.datasets.tests.test_svmlight_format.test_load_compressed ... ok sklearn.datasets.tests.test_svmlight_format.test_load_invalid_file ... ok sklearn.datasets.tests.test_svmlight_format.test_load_invalid_order_file ... ok sklearn.datasets.tests.test_svmlight_format.test_load_zero_based ... ok sklearn.datasets.tests.test_svmlight_format.test_load_zero_based_auto ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_qid ... ok sklearn.datasets.tests.test_svmlight_format.test_load_invalid_file2 ... ok sklearn.datasets.tests.test_svmlight_format.test_not_a_filename ... ok sklearn.datasets.tests.test_svmlight_format.test_invalid_filename ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_long_qid ... ok sklearn.datasets.tests.test_svmlight_format.test_load_zeros ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 13, 2) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 13, 7) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 13, 41) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 101, 2) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 101, 7) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 101, 41) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 13, 2) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 13, 7) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 13, 41) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 101, 2) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 101, 7) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 101, 41) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 13, 2) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 13, 7) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 13, 41) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 101, 2) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 101, 7) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 101, 41) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 13, 2) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 13, 7) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 13, 41) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 101, 2) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 101, 7) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 101, 41) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 13, 2) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 13, 7) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 13, 41) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 101, 2) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 101, 7) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 101, 41) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_offset_exhaustive_splits ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets_error ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_shapes_omp ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_shapes ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_overcomplete ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_reconstruction ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_reconstruction_parallel ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_lassocd_readonly_data ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_nonzero_coefs ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_unknown_fit_algorithm ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_split ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_shapes ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_verbosity ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_estimator_shapes ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_overcomplete ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_initialization ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_partial_fit ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_shapes ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_input ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_error ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_error_default_sparsity ... ok sklearn.decomposition.tests.test_dict_learning.test_unknown_method ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_coder_estimator ... ok sklearn.decomposition.tests.test_factor_analysis.test_factor_analysis ... ok sklearn.decomposition.tests.test_fastica.test_gs ... ok sklearn.decomposition.tests.test_fastica.test_fastica_simple ... ok sklearn.decomposition.tests.test_fastica.test_fastica_nowhiten ... ok sklearn.decomposition.tests.test_fastica.test_non_square_fastica ... ok sklearn.decomposition.tests.test_fastica.test_fit_transform ... ok sklearn.decomposition.tests.test_fastica.test_inverse_transform ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_check_projection ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_inverse ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_validation ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_set_params ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_num_features_change ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_batch_signs ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_batch_values ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_partial_fit ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_against_pca_iris ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_against_pca_random_data ... ok sklearn.decomposition.tests.test_incremental_pca.test_explained_variances ... ok sklearn.decomposition.tests.test_incremental_pca.test_singular_values ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/samples_generator.py:1046: RuntimeWarning: underflow encountered in exp np.exp(-1.0 * (singular_ind / effective_rank) ** 2)) ok sklearn.decomposition.tests.test_incremental_pca.test_whitening ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_invalid_parameters ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_consistent_transform ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_sparse ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_linear_kernel ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_n_components ... ok sklearn.decomposition.tests.test_kernel_pca.test_remove_zero_eig ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_precomputed ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_invalid_kernel ... ok sklearn.decomposition.tests.test_kernel_pca.test_gridsearch_pipeline ... ok sklearn.decomposition.tests.test_kernel_pca.test_gridsearch_pipeline_precomputed ... ok sklearn.decomposition.tests.test_kernel_pca.test_nested_circles ... ok sklearn.decomposition.tests.test_nmf.test_initialize_nn_output ... ok sklearn.decomposition.tests.test_nmf.test_parameter_checking ... ok sklearn.decomposition.tests.test_nmf.test_initialize_close ... ok sklearn.decomposition.tests.test_nmf.test_initialize_variants ... ok sklearn.decomposition.tests.test_nmf.test_nmf_fit_close ... ok sklearn.decomposition.tests.test_nmf.test_nmf_transform ... ok sklearn.decomposition.tests.test_nmf.test_nmf_transform_custom_init ... ok sklearn.decomposition.tests.test_nmf.test_nmf_inverse_transform ... ok sklearn.decomposition.tests.test_nmf.test_n_components_greater_n_features ... ok sklearn.decomposition.tests.test_nmf.test_nmf_sparse_input ... ok sklearn.decomposition.tests.test_nmf.test_nmf_sparse_transform ... ok sklearn.decomposition.tests.test_nmf.test_non_negative_factorization_consistency ... ok sklearn.decomposition.tests.test_nmf.test_non_negative_factorization_checking ... ok sklearn.decomposition.tests.test_nmf.test_beta_divergence ... ok sklearn.decomposition.tests.test_nmf.test_nmf_decreasing ... ok sklearn.decomposition.tests.test_nmf.test_nmf_fit_nn_output ... ok sklearn.decomposition.tests.test_nmf.test_nmf_multiplicative_update_sparse ... ok sklearn.decomposition.tests.test_nmf.test_special_sparse_dot ... ok sklearn.decomposition.tests.test_nmf.test_nmf_negative_beta_loss ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py:788: RuntimeWarning: underflow encountered in multiply H *= delta_H /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py:165: RuntimeWarning: underflow encountered in multiply dot_vals = np.multiply(W[ii, :], H.T[jj, :]).sum(axis=1) ok sklearn.decomposition.tests.test_nmf.test_nmf_regularization ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py:778: RuntimeWarning: underflow encountered in multiply W *= delta_W ok sklearn.decomposition.tests.test_online_lda.test_lda_default_prior_params ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/online_lda.py:536: DeprecationWarning: The default value for 'learning_method' will be changed from 'online' to 'batch' in the release 0.20. This warning was introduced in 0.18. DeprecationWarning) ok sklearn.decomposition.tests.test_online_lda.test_lda_fit_batch ... ok sklearn.decomposition.tests.test_online_lda.test_lda_fit_online ... ok sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit ... ok sklearn.decomposition.tests.test_online_lda.test_lda_dense_input ... ok sklearn.decomposition.tests.test_online_lda.test_lda_transform ... ok sklearn.decomposition.tests.test_online_lda.test_lda_fit_transform ... ok sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit_dim_mismatch ... ok sklearn.decomposition.tests.test_online_lda.test_invalid_params ... ok sklearn.decomposition.tests.test_online_lda.test_lda_negative_input ... ok sklearn.decomposition.tests.test_online_lda.test_lda_no_component_error ... ok sklearn.decomposition.tests.test_online_lda.test_lda_transform_mismatch ... ok sklearn.decomposition.tests.test_online_lda.test_lda_preplexity_mismatch ... ok sklearn.decomposition.tests.test_online_lda.test_lda_perplexity ... ok sklearn.decomposition.tests.test_online_lda.test_lda_score ... ok sklearn.decomposition.tests.test_online_lda.test_perplexity_input_format ... ok sklearn.decomposition.tests.test_online_lda.test_lda_score_perplexity ... ok sklearn.decomposition.tests.test_online_lda.test_lda_fit_perplexity ... ok sklearn.decomposition.tests.test_online_lda.test_doc_topic_distr_deprecation ... ok Test LDA on empty document (all-zero rows). ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/online_lda.py:536: DeprecationWarning: The default value for 'learning_method' will be changed from 'online' to 'batch' in the release 0.20. This warning was introduced in 0.18. DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/online_lda.py:780: RuntimeWarning: divide by zero encountered in double_scalars perword_bound = bound / word_cnt ok Test Cython version of Dirichlet expectation calculation. ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_online_lda.py:375: RuntimeWarning: underflow encountered in exp assert_allclose(expectation, np.exp(psi(x) - psi(np.sum(x))), /usr/lib/python2.7/dist-packages/numpy/core/numeric.py:2524: RuntimeWarning: underflow encountered in multiply result = less_equal(abs(x-y), atol + rtol * abs(y)) ok sklearn.decomposition.tests.test_online_lda.test_verbosity(False, 1, 0, 0) ... ok sklearn.decomposition.tests.test_online_lda.test_verbosity(False, 0, 0, 0) ... ok sklearn.decomposition.tests.test_online_lda.test_verbosity(True, 0, 3, 0) ... ok sklearn.decomposition.tests.test_online_lda.test_verbosity(True, 1, 3, 3) ... ok sklearn.decomposition.tests.test_online_lda.test_verbosity(True, 2, 3, 1) ... ok sklearn.decomposition.tests.test_online_lda.test_lda_n_topics_deprecation ... ok sklearn.decomposition.tests.test_online_lda.test_lda_multi_jobs ... ok sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit_multi_jobs ... ok sklearn.decomposition.tests.test_pca.test_pca ... ok sklearn.decomposition.tests.test_pca.test_pca_arpack_solver ... ok sklearn.decomposition.tests.test_pca.test_pca_randomized_solver ... ok sklearn.decomposition.tests.test_pca.test_no_empty_slice_warning ... ok sklearn.decomposition.tests.test_pca.test_whitening ... ok sklearn.decomposition.tests.test_pca.test_singular_values ... ok sklearn.decomposition.tests.test_pca.test_explained_variance ... ok sklearn.decomposition.tests.test_pca.test_pca_check_projection ... ok sklearn.decomposition.tests.test_pca.test_pca_inverse ... ok sklearn.decomposition.tests.test_pca.test_pca_validation ... ok sklearn.decomposition.tests.test_pca.test_randomized_pca_check_projection ... ok sklearn.decomposition.tests.test_pca.test_randomized_pca_check_list ... ok sklearn.decomposition.tests.test_pca.test_randomized_pca_inverse ... ok sklearn.decomposition.tests.test_pca.test_pca_dim ... ok sklearn.decomposition.tests.test_pca.test_infer_dim_1 ... ok sklearn.decomposition.tests.test_pca.test_infer_dim_2 ... ok sklearn.decomposition.tests.test_pca.test_infer_dim_3 ... ok sklearn.decomposition.tests.test_pca.test_infer_dim_by_explained_variance ... ok sklearn.decomposition.tests.test_pca.test_pca_score ... ok sklearn.decomposition.tests.test_pca.test_pca_score2 ... ok sklearn.decomposition.tests.test_pca.test_pca_score3 ... ok sklearn.decomposition.tests.test_pca.test_pca_score_with_different_solvers ... ok sklearn.decomposition.tests.test_pca.test_pca_zero_noise_variance_edge_cases ... ok sklearn.decomposition.tests.test_pca.test_svd_solver_auto ... ok sklearn.decomposition.tests.test_pca.test_deprecation_randomized_pca ... ok sklearn.decomposition.tests.test_pca.test_pca_sparse_input ... ok sklearn.decomposition.tests.test_pca.test_pca_bad_solver ... ok sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('full',) ... ok sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('full',) ... ok sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('arpack',) ... ok sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('arpack',) ... ok sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('randomized',) ... ok sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('randomized',) ... ok sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('auto',) ... ok sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('auto',) ... ok sklearn.decomposition.tests.test_sparse_pca.test_correct_shapes ... ok sklearn.decomposition.tests.test_sparse_pca.test_fit_transform ... ok sklearn.decomposition.tests.test_sparse_pca.test_transform_nan ... ok sklearn.decomposition.tests.test_sparse_pca.test_fit_transform_tall ... ok sklearn.decomposition.tests.test_sparse_pca.test_initialization ... ok sklearn.decomposition.tests.test_sparse_pca.test_mini_batch_correct_shapes ... ok sklearn.decomposition.tests.test_sparse_pca.test_mini_batch_fit_transform ... SKIP: skipping mini_batch_fit_transform. sklearn.decomposition.tests.test_sparse_pca.test_fit_transform_parallel ... ok sklearn.decomposition.tests.test_truncated_svd.test_algorithms ... ok sklearn.decomposition.tests.test_truncated_svd.test_attributes ... ok sklearn.decomposition.tests.test_truncated_svd.test_too_many_components ... ok sklearn.decomposition.tests.test_truncated_svd.test_sparse_formats ... ok sklearn.decomposition.tests.test_truncated_svd.test_inverse_transform ... ok sklearn.decomposition.tests.test_truncated_svd.test_integers ... ok sklearn.decomposition.tests.test_truncated_svd.test_explained_variance ... ok sklearn.decomposition.tests.test_truncated_svd.test_singular_values ... ok sklearn.ensemble.tests.test_bagging.test_classification ... ok sklearn.ensemble.tests.test_bagging.test_sparse_classification ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) ok sklearn.ensemble.tests.test_bagging.test_regression ... ok sklearn.ensemble.tests.test_bagging.test_sparse_regression ... ok sklearn.ensemble.tests.test_bagging.test_bootstrap_samples ... ok sklearn.ensemble.tests.test_bagging.test_bootstrap_features ... ok sklearn.ensemble.tests.test_bagging.test_probability ... ok sklearn.ensemble.tests.test_bagging.test_oob_score_classification ... ok sklearn.ensemble.tests.test_bagging.test_oob_score_regression ... ok sklearn.ensemble.tests.test_bagging.test_single_estimator ... ok sklearn.ensemble.tests.test_bagging.test_error ... ok sklearn.ensemble.tests.test_bagging.test_parallel_classification ... ok sklearn.ensemble.tests.test_bagging.test_parallel_regression ... ok sklearn.ensemble.tests.test_bagging.test_gridsearch ... ok sklearn.ensemble.tests.test_bagging.test_base_estimator ... ok sklearn.ensemble.tests.test_bagging.test_bagging_with_pipeline ... ok sklearn.ensemble.tests.test_bagging.test_bagging_sample_weight_unsupported_but_passed ... ok sklearn.ensemble.tests.test_bagging.test_warm_start ... ok sklearn.ensemble.tests.test_bagging.test_warm_start_smaller_n_estimators ... ok sklearn.ensemble.tests.test_bagging.test_warm_start_equal_n_estimators ... ok sklearn.ensemble.tests.test_bagging.test_warm_start_equivalence ... ok sklearn.ensemble.tests.test_bagging.test_warm_start_with_oob_score_fails ... ok sklearn.ensemble.tests.test_bagging.test_oob_score_removed_on_warm_start ... ok sklearn.ensemble.tests.test_bagging.test_oob_score_consistency ... ok sklearn.ensemble.tests.test_bagging.test_estimators_samples ... ok sklearn.ensemble.tests.test_bagging.test_max_samples_consistency ... ok sklearn.ensemble.tests.test_bagging.test_set_oob_score_label_encoding ... ok sklearn.ensemble.tests.test_base.test_base ... ok sklearn.ensemble.tests.test_base.test_base_zero_n_estimators ... ok sklearn.ensemble.tests.test_base.test_base_not_int_n_estimators ... ok sklearn.ensemble.tests.test_base.test_set_random_states ... ok sklearn.ensemble.tests.test_forest.test_classification_toy('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_classification_toy('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_iris('ExtraTreesClassifier', 'gini') ... ok sklearn.ensemble.tests.test_forest.test_iris('ExtraTreesClassifier', 'entropy') ... ok sklearn.ensemble.tests.test_forest.test_iris('RandomForestClassifier', 'gini') ... ok sklearn.ensemble.tests.test_forest.test_iris('RandomForestClassifier', 'entropy') ... ok sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'mse') ... ok sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'mae') ... ok sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'friedman_mse') ... ok sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'mse') ... ok sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'mae') ... ok sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'friedman_mse') ... ok sklearn.ensemble.tests.test_forest.test_regressor_attributes('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_regressor_attributes('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_probability('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_probability('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesClassifier', 'gini', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesClassifier', 'entropy', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', 'gini', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', 'entropy', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'mse', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'friedman_mse', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'mae', , 0.05) ... ok sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'mse', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'friedman_mse', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'mae', , 0.05) ... ok sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesClassifier', 'gini', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesClassifier', 'entropy', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', 'gini', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', 'entropy', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'mse', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'friedman_mse', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'mae', , 0.05) ... ok sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'mse', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'friedman_mse', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'mae', , 0.05) ... ok sklearn.ensemble.tests.test_forest.test_importances_asymptotic ... ok sklearn.ensemble.tests.test_forest.test_1d_input ... ok sklearn.ensemble.tests.test_forest.test_random_hasher ... ok sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', <150x4 sparse matrix of type '' ... ok sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', <150x4 sparse matrix of type '' ... ok sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesRegressor', <506x13 sparse matrix of type '' ... ok sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestRegressor', <506x13 sparse matrix of type '' ... ok sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_gridsearch('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_gridsearch('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_parallel('ExtraTreesClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_parallel('RandomForestClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_parallel('ExtraTreesRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_parallel('RandomForestRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_pickle('ExtraTreesClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_pickle('RandomForestClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_pickle('ExtraTreesRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_pickle('RandomForestRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_multioutput('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_multioutput('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_multioutput('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_multioutput('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_classes_shape('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_classes_shape('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_random_trees_dense_type ... ok sklearn.ensemble.tests.test_forest.test_random_trees_dense_equal ... ok sklearn.ensemble.tests.test_forest.test_random_hasher_sparse_data ... ok sklearn.ensemble.tests.test_forest.test_parallel_train ... ok sklearn.ensemble.tests.test_forest.test_distribution ... ok sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_min_samples_split('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_min_samples_split('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_min_samples_split('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_min_samples_split('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_min_samples_split('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_min_samples_leaf('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_min_samples_leaf('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesClassifier', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesClassifier', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestClassifier', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestClassifier', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesRegressor', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesRegressor', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestRegressor', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestRegressor', ) ... ok sklearn.ensemble.tests.test_forest.test_class_weights('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_class_weights('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_class_weight_balanced_and_bootstrap_multi_output('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_class_weight_balanced_and_bootstrap_multi_output('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_class_weight_errors('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_class_weight_errors('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_clear('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_clear('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_oob('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_oob('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_oob('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_oob('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_dtype_convert ... ok sklearn.ensemble.tests.test_forest.test_decision_path('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_decision_path('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_decision_path('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_decision_path('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_min_impurity_split ... ok sklearn.ensemble.tests.test_forest.test_min_impurity_decrease ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy('auto', 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy('auto', 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(True, 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(True, 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(False, 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(False, 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_parameter_checks ... ok sklearn.ensemble.tests.test_gradient_boosting.test_loss_function ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic('auto', 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic('auto', 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(True, 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(True, 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(False, 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(False, 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'ls', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'ls', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'lad', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'lad', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'huber', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'huber', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'ls', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'ls', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'lad', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'lad', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'huber', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'huber', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'ls', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'ls', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'lad', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'lad', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'huber', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'huber', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 1.0, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 1.0, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 0.5, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 0.5, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 1.0, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 1.0, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 0.5, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 0.5, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 1.0, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 1.0, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 0.5, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 0.5, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_regression_synthetic ... ok sklearn.ensemble.tests.test_gradient_boosting.test_feature_importances ... ok sklearn.ensemble.tests.test_gradient_boosting.test_probability_log ... ok sklearn.ensemble.tests.test_gradient_boosting.test_check_inputs ... ok sklearn.ensemble.tests.test_gradient_boosting.test_check_inputs_predict ... ok sklearn.ensemble.tests.test_gradient_boosting.test_check_max_features ... ok sklearn.ensemble.tests.test_gradient_boosting.test_max_feature_regression ... ok sklearn.ensemble.tests.test_gradient_boosting.test_max_feature_auto ... ok sklearn.ensemble.tests.test_gradient_boosting.test_staged_predict ... ok sklearn.ensemble.tests.test_gradient_boosting.test_staged_predict_proba ... ok sklearn.ensemble.tests.test_gradient_boosting.test_staged_functions_defensive ... ok sklearn.ensemble.tests.test_gradient_boosting.test_serialization ... ok sklearn.ensemble.tests.test_gradient_boosting.test_degenerate_targets ... ok sklearn.ensemble.tests.test_gradient_boosting.test_quantile_loss ... ok sklearn.ensemble.tests.test_gradient_boosting.test_symbol_labels ... ok sklearn.ensemble.tests.test_gradient_boosting.test_float_class_labels ... ok sklearn.ensemble.tests.test_gradient_boosting.test_shape_y ... ok sklearn.ensemble.tests.test_gradient_boosting.test_mem_layout ... ok sklearn.ensemble.tests.test_gradient_boosting.test_oob_improvement ... ok sklearn.ensemble.tests.test_gradient_boosting.test_oob_improvement_raise ... ok sklearn.ensemble.tests.test_gradient_boosting.test_oob_multilcass_iris ... ok sklearn.ensemble.tests.test_gradient_boosting.test_verbose_output ... ok sklearn.ensemble.tests.test_gradient_boosting.test_sparse_input ... ok sklearn.ensemble.tests.test_gradient_boosting.test_more_verbose_output ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_n_estimators ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_max_depth ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_clear ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_zero_n_estimators ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_smaller_n_estimators ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_equal_n_estimators ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_oob_switch ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_oob ... ok sklearn.ensemble.tests.test_gradient_boosting.test_monitor_early_stopping ... ok sklearn.ensemble.tests.test_gradient_boosting.test_complete_classification ... ok sklearn.ensemble.tests.test_gradient_boosting.test_complete_regression ... ok sklearn.ensemble.tests.test_gradient_boosting.test_zero_estimator_reg ... ok sklearn.ensemble.tests.test_gradient_boosting.test_zero_estimator_clf ... ok sklearn.ensemble.tests.test_gradient_boosting.test_max_leaf_nodes_max_depth ... ok sklearn.ensemble.tests.test_gradient_boosting.test_min_impurity_split ... ok sklearn.ensemble.tests.test_gradient_boosting.test_min_impurity_decrease ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_wo_nestimators_change ... ok sklearn.ensemble.tests.test_gradient_boosting.test_probability_exponential ... ok sklearn.ensemble.tests.test_gradient_boosting.test_non_uniform_weights_toy_edge_case_reg ... ok sklearn.ensemble.tests.test_gradient_boosting.test_non_uniform_weights_toy_edge_case_clf ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_binomial_deviance ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_log_odds_estimator ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_smoke ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_init_estimators ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile_equal ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile_zero_weight ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_quantile_loss_function ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_deviance ... ok Check Isolation Forest for various parameter settings. ... ok Check IForest for various parameter settings on sparse input. ... ok Test that it gives proper exception on deficient input. ... ok Check max_depth recalculation when max_samples is reset to n_samples ... ok sklearn.ensemble.tests.test_iforest.test_max_samples_attribute ... ok Check parallel regression. ... ok Test Isolation Forest performs well ... ok sklearn.ensemble.tests.test_iforest.test_iforest_works ... ok sklearn.ensemble.tests.test_iforest.test_max_samples_consistency ... ok sklearn.ensemble.tests.test_iforest.test_iforest_subsampled_features ... ok sklearn.ensemble.tests.test_iforest.test_iforest_average_path_length ... ok sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_classifier ... ok sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_multiclass ... ok sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_regressor ... ok sklearn.ensemble.tests.test_partial_dependence.test_partial_dependecy_input ... ok sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence ... ok sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence_input ... ok sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence_multiclass ... ok sklearn.ensemble.tests.test_voting_classifier.test_estimator_init ... ok sklearn.ensemble.tests.test_voting_classifier.test_predictproba_hardvoting ... ok sklearn.ensemble.tests.test_voting_classifier.test_notfitted ... ok Check classification by majority label on dataset iris. ... ok Check voting classifier selects smaller class label in tie situation. ... ok Check classification by average probabilities on dataset iris. ... ok Manually check predicted class labels for toy dataset. ... ok Calculate predicted probabilities on toy dataset. ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) ok Check if error is raised for multilabel classification. ... ok Check GridSearch support. ... /usr/lib/python2.7/dist-packages/numpy/lib/function_base.py:1142: RuntimeWarning: underflow encountered in multiply avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl ok Check parallel backend of VotingClassifier on toy dataset. ... ok Tests sample_weight parameter of VotingClassifier ... ok Check that VotingClassifier passes sample_weight as kwargs ... ok set_params should be able to set estimators ... ok VotingClassifier set_params should be able to set estimators as None ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/voting_classifier.py:290: DeprecationWarning: 'flatten_transform' default value will be changed to True in 0.21.To silence this warning you may explicitly set flatten_transform=False. DeprecationWarning) ok sklearn.ensemble.tests.test_voting_classifier.test_estimator_weights_format ... ok Check transform method of VotingClassifier on toy dataset. ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) ok sklearn.ensemble.tests.test_weight_boosting.test_samme_proba ... ok sklearn.ensemble.tests.test_weight_boosting.test_oneclass_adaboost_proba ... ok sklearn.ensemble.tests.test_weight_boosting.test_classification_toy ... ok sklearn.ensemble.tests.test_weight_boosting.test_regression_toy ... ok sklearn.ensemble.tests.test_weight_boosting.test_iris ... ok sklearn.ensemble.tests.test_weight_boosting.test_boston ... ok sklearn.ensemble.tests.test_weight_boosting.test_staged_predict ... ok sklearn.ensemble.tests.test_weight_boosting.test_gridsearch ... ok sklearn.ensemble.tests.test_weight_boosting.test_pickle ... ok sklearn.ensemble.tests.test_weight_boosting.test_importances ... ok sklearn.ensemble.tests.test_weight_boosting.test_error ... ok sklearn.ensemble.tests.test_weight_boosting.test_base_estimator ... ok sklearn.ensemble.tests.test_weight_boosting.test_sample_weight_missing ... ok sklearn.ensemble.tests.test_weight_boosting.test_sparse_classification ... ok sklearn.ensemble.tests.test_weight_boosting.test_sparse_regression ... ok AdaBoostRegressor should work without sample_weights in the base estimator ... ok sklearn.feature_extraction.tests.test_dict_vectorizer.test_dictvectorizer ... ok sklearn.feature_extraction.tests.test_dict_vectorizer.test_feature_selection ... ok sklearn.feature_extraction.tests.test_dict_vectorizer.test_one_of_k ... ok sklearn.feature_extraction.tests.test_dict_vectorizer.test_unseen_or_no_features ... ok sklearn.feature_extraction.tests.test_dict_vectorizer.test_deterministic_vocabulary ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_dicts ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_pairs ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_pairs_with_string_values ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hash_empty_input ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_invalid_input ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_set_params ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_zeros ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_strings ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hash_collisions ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_alternate_sign ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_negative ... ok sklearn.feature_extraction.tests.test_image.test_img_to_graph ... ok sklearn.feature_extraction.tests.test_image.test_grid_to_graph ... ok sklearn.feature_extraction.tests.test_image.test_connect_regions ... ok sklearn.feature_extraction.tests.test_image.test_connect_regions_with_grid ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_all ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_all_color ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_all_rect ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_max_patches ... ok sklearn.feature_extraction.tests.test_image.test_reconstruct_patches_perfect ... ok sklearn.feature_extraction.tests.test_image.test_reconstruct_patches_perfect_color ... ok sklearn.feature_extraction.tests.test_image.test_patch_extractor_fit ... ok sklearn.feature_extraction.tests.test_image.test_patch_extractor_max_patches ... ok sklearn.feature_extraction.tests.test_image.test_patch_extractor_max_patches_default ... ok sklearn.feature_extraction.tests.test_image.test_patch_extractor_all_patches ... ok sklearn.feature_extraction.tests.test_image.test_patch_extractor_color ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_strided ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_square ... ok sklearn.feature_extraction.tests.test_image.test_width_patch ... ok sklearn.feature_extraction.tests.test_text.test_strip_accents ... ok sklearn.feature_extraction.tests.test_text.test_to_ascii ... ok sklearn.feature_extraction.tests.test_text.test_word_analyzer_unigrams ... ok sklearn.feature_extraction.tests.test_text.test_word_analyzer_unigrams_and_bigrams ... ok sklearn.feature_extraction.tests.test_text.test_unicode_decode_error ... ok sklearn.feature_extraction.tests.test_text.test_char_ngram_analyzer ... ok sklearn.feature_extraction.tests.test_text.test_char_wb_ngram_analyzer ... ok sklearn.feature_extraction.tests.test_text.test_word_ngram_analyzer ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_pipeline ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_repeated_indeces ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_gap_index ... ok sklearn.feature_extraction.tests.test_text.test_hashed_binary_occurrences ... ok sklearn.feature_extraction.tests.test_text.test_hashing_vectorizer ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_unicode ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_stop_words ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_empty_vocabulary ... ok sklearn.feature_extraction.tests.test_text.test_fit_countvectorizer_twice ... ok sklearn.feature_extraction.tests.test_text.test_tf_idf_smoothing ... ok sklearn.feature_extraction.tests.test_text.test_tfidf_no_smoothing ... ok sklearn.feature_extraction.tests.test_text.test_sublinear_tf ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer ... ok sklearn.feature_extraction.tests.test_text.test_tfidf_vectorizer_setters ... ok sklearn.feature_extraction.tests.test_text.test_feature_names ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_max_features ... ok sklearn.feature_extraction.tests.test_text.test_count_vectorizer_max_features ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_max_df ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_min_df ... ok sklearn.feature_extraction.tests.test_text.test_count_binary_occurrences ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_inverse_transform ... ok sklearn.feature_extraction.tests.test_text.test_count_vectorizer_pipeline_grid_selection ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_pipeline_grid_selection ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_pipeline_cross_validation ... ok sklearn.feature_extraction.tests.test_text.test_tfidf_vectorizer_with_fixed_vocabulary ... ok sklearn.feature_extraction.tests.test_text.test_pickling_vectorizer ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_vocab_sets_when_pickling ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_vocab_dicts_when_pickling ... ok sklearn.feature_extraction.tests.test_text.test_stop_words_removal ... ok sklearn.feature_extraction.tests.test_text.test_pickling_transformer ... ok sklearn.feature_extraction.tests.test_text.test_non_unique_vocab ... ok sklearn.feature_extraction.tests.test_text.test_hashingvectorizer_nan_in_docs ... ok sklearn.feature_extraction.tests.test_text.test_tfidfvectorizer_binary ... ok sklearn.feature_extraction.tests.test_text.test_tfidfvectorizer_export_idf ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_vocab_clone ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_string_object_as_input ... ok sklearn.feature_selection.tests.test_base.test_transform_dense ... ok sklearn.feature_selection.tests.test_base.test_transform_sparse ... ok sklearn.feature_selection.tests.test_base.test_inverse_transform_dense ... ok sklearn.feature_selection.tests.test_base.test_inverse_transform_sparse ... ok sklearn.feature_selection.tests.test_base.test_get_support ... ok sklearn.feature_selection.tests.test_chi2.test_chi2 ... ok sklearn.feature_selection.tests.test_chi2.test_chi2_coo ... ok sklearn.feature_selection.tests.test_chi2.test_chi2_negative ... ok sklearn.feature_selection.tests.test_chi2.test_chi2_unused_feature ... ok sklearn.feature_selection.tests.test_chi2.test_chisquare ... ok sklearn.feature_selection.tests.test_feature_select.test_f_oneway_vs_scipy_stats ... ok sklearn.feature_selection.tests.test_feature_select.test_f_oneway_ints ... ok sklearn.feature_selection.tests.test_feature_select.test_f_classif ... ok sklearn.feature_selection.tests.test_feature_select.test_f_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_f_regression_input_dtype ... ok sklearn.feature_selection.tests.test_feature_select.test_f_regression_center ... ok sklearn.feature_selection.tests.test_feature_select.test_f_classif_multi_class ... ok sklearn.feature_selection.tests.test_feature_select.test_select_percentile_classif ... ok sklearn.feature_selection.tests.test_feature_select.test_select_percentile_classif_sparse ... ok sklearn.feature_selection.tests.test_feature_select.test_select_kbest_classif ... ok sklearn.feature_selection.tests.test_feature_select.test_select_kbest_all ... ok sklearn.feature_selection.tests.test_feature_select.test_select_kbest_zero ... ok sklearn.feature_selection.tests.test_feature_select.test_select_heuristics_classif ... ok sklearn.feature_selection.tests.test_feature_select.test_select_percentile_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_select_percentile_regression_full ... ok sklearn.feature_selection.tests.test_feature_select.test_invalid_percentile ... ok sklearn.feature_selection.tests.test_feature_select.test_select_kbest_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_select_heuristics_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_boundary_case_ch2 ... ok sklearn.feature_selection.tests.test_feature_select.test_select_fdr_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_select_fwe_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_selectkbest_tiebreaking ... ok sklearn.feature_selection.tests.test_feature_select.test_selectpercentile_tiebreaking ... ok sklearn.feature_selection.tests.test_feature_select.test_tied_pvalues ... ok sklearn.feature_selection.tests.test_feature_select.test_scorefunc_multilabel ... ok sklearn.feature_selection.tests.test_feature_select.test_tied_scores ... ok sklearn.feature_selection.tests.test_feature_select.test_nans ... ok sklearn.feature_selection.tests.test_feature_select.test_score_func_error ... ok sklearn.feature_selection.tests.test_feature_select.test_invalid_k ... ok sklearn.feature_selection.tests.test_feature_select.test_f_classif_constant_feature ... ok sklearn.feature_selection.tests.test_feature_select.test_no_feature_selected ... ok sklearn.feature_selection.tests.test_feature_select.test_mutual_info_classif ... ok sklearn.feature_selection.tests.test_feature_select.test_mutual_info_regression ... ok sklearn.feature_selection.tests.test_from_model.test_invalid_input ... ok sklearn.feature_selection.tests.test_from_model.test_input_estimator_unchanged ... ok sklearn.feature_selection.tests.test_from_model.test_feature_importances ... ok sklearn.feature_selection.tests.test_from_model.test_sample_weight ... ok sklearn.feature_selection.tests.test_from_model.test_coef_default_threshold ... ok sklearn.feature_selection.tests.test_from_model.test_partial_fit ... ok sklearn.feature_selection.tests.test_from_model.test_calling_fit_reinitializes ... ok sklearn.feature_selection.tests.test_from_model.test_prefit ... ok sklearn.feature_selection.tests.test_from_model.test_threshold_string ... ok sklearn.feature_selection.tests.test_from_model.test_threshold_without_refitting ... ok sklearn.feature_selection.tests.test_from_model.test_2d_coef ... ok sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_dd ... ok sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_cc ... ok sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_cd ... ok sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_cd_unique_label ... ok sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_classif_discrete ... ok sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_regression ... ok sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_classif_mixed ... ok sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_options ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_features_importance ... ok sklearn.feature_selection.tests.test_rfe.test_rfe ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_mockclassifier ... ok sklearn.feature_selection.tests.test_rfe.test_rfecv ... ok sklearn.feature_selection.tests.test_rfe.test_rfecv_mockclassifier ... ok sklearn.feature_selection.tests.test_rfe.test_rfecv_verbose_output ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_estimator_tags ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_min_step ... ok sklearn.feature_selection.tests.test_rfe.test_number_of_subsets_of_features ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_cv_n_jobs ... ok sklearn.feature_selection.tests.test_variance_threshold.test_zero_variance ... ok sklearn.feature_selection.tests.test_variance_threshold.test_variance_threshold ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_1d ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class GaussianProcess is deprecated; GaussianProcess was deprecated in version 0.18 and will be removed in 0.20. Use the GaussianProcessRegressor instead. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function l1_cross_distances is deprecated; l1_cross_distances was deprecated in version 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function constant is deprecated; The function constant of regression_models is deprecated in version 0.19.1 and will be removed in 0.22. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function squared_exponential is deprecated; The function squared_exponential of correlation_models is deprecated in version 0.19.1 and will be removed in 0.22. warnings.warn(msg, category=DeprecationWarning) ok sklearn.gaussian_process.tests.test_gaussian_process.test_2d ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_2d_2d ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_wrong_number_of_outputs ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_more_builtin_correlation_models ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function absolute_exponential is deprecated; The function absolute_exponential of correlation_models is deprecated in version 0.19.1 and will be removed in 0.22. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function cubic is deprecated; The function cubic of correlation_models is deprecated in version 0.19.1 and will be removed in 0.22. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function linear is deprecated; The function linear of correlation_models is deprecated in version 0.19.1 and will be removed in 0.22. warnings.warn(msg, category=DeprecationWarning) ok sklearn.gaussian_process.tests.test_gaussian_process.test_ordinary_kriging ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function linear is deprecated; The function linear of regression_models is deprecated in version 0.19.1 and will be removed in 0.22. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function quadratic is deprecated; The function quadratic of regression_models is deprecated in version 0.19.1 and will be removed in 0.22. warnings.warn(msg, category=DeprecationWarning) ok sklearn.gaussian_process.tests.test_gaussian_process.test_no_normalize ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_batch_size ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_random_starts ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/correlation_models.py:102: RuntimeWarning: underflow encountered in exp return np.exp(-np.sum(theta.reshape(1, n_features) * d ** 2, axis=1)) ok sklearn.gaussian_process.tests.test_gaussian_process.test_mse_solving ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/samples_generator.py:1046: RuntimeWarning: underflow encountered in exp np.exp(-1.0 * (singular_ind / effective_rank) ** 2)) ok sklearn.gaussian_process.tests.test_gpc.test_predict_consistent ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply (K * squareform(dists))[:, :, np.newaxis] /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply W_sr_K = W_sr[:, np.newaxis] * K /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply B = np.eye(W.shape[0]) + W_sr_K * W_sr /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply C = solve(L, W_sr[:, np.newaxis] * K) # Line 8 ok sklearn.gaussian_process.tests.test_gpc.test_lml_improving ... ok sklearn.gaussian_process.tests.test_gpc.test_lml_precomputed ... ok sklearn.gaussian_process.tests.test_gpc.test_converged_to_local_maximum ... ok sklearn.gaussian_process.tests.test_gpc.test_lml_gradient ... ok sklearn.gaussian_process.tests.test_gpc.test_random_starts ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:1230: RuntimeWarning: underflow encountered in multiply K_gradient *= K[..., np.newaxis] /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:756: RuntimeWarning: underflow encountered in multiply K2_gradient * K1[:, :, np.newaxis])) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py:353: RuntimeWarning: underflow encountered in multiply R = W_sr[:, np.newaxis] * cho_solve((L, True), np.diag(W_sr)) # Line 7 /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:755: RuntimeWarning: underflow encountered in multiply return K1 * K2, np.dstack((K1_gradient * K2[:, :, np.newaxis], ok sklearn.gaussian_process.tests.test_gpc.test_custom_optimizer ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:758: RuntimeWarning: underflow encountered in multiply return self.k1(X, Y) * self.k2(X, Y) ok sklearn.gaussian_process.tests.test_gpc.test_multi_class ... ok sklearn.gaussian_process.tests.test_gpc.test_multi_class_n_jobs ... ok sklearn.gaussian_process.tests.test_gpr.test_gpr_interpolation ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:1216: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) ok sklearn.gaussian_process.tests.test_gpr.test_lml_improving ... ok sklearn.gaussian_process.tests.test_gpr.test_lml_precomputed ... ok sklearn.gaussian_process.tests.test_gpr.test_converged_to_local_maximum ... ok sklearn.gaussian_process.tests.test_gpr.test_solution_inside_bounds ... ok sklearn.gaussian_process.tests.test_gpr.test_lml_gradient ... ok sklearn.gaussian_process.tests.test_gpr.test_prior ... ok sklearn.gaussian_process.tests.test_gpr.test_sample_statistics ... ok sklearn.gaussian_process.tests.test_gpr.test_no_optimizer ... ok sklearn.gaussian_process.tests.test_gpr.test_predict_cov_vs_std ... ok sklearn.gaussian_process.tests.test_gpr.test_anisotropic_kernel ... ok sklearn.gaussian_process.tests.test_gpr.test_random_starts ... ok sklearn.gaussian_process.tests.test_gpr.test_y_normalization ... ok sklearn.gaussian_process.tests.test_gpr.test_y_multioutput ... ok sklearn.gaussian_process.tests.test_gpr.test_custom_optimizer ... ok sklearn.gaussian_process.tests.test_gpr.test_gpr_correct_error_message ... ok sklearn.gaussian_process.tests.test_gpr.test_duplicate_input ... ok sklearn.gaussian_process.tests.test_gpr.test_no_fit_default_predict ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_gradient ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:1362: RuntimeWarning: invalid value encountered in divide / np.sqrt(D.sum(2))[:, :, np.newaxis] ok sklearn.gaussian_process.tests.test_kernels.test_kernel_theta ... ok sklearn.gaussian_process.tests.test_kernels.test_auto_vs_cross ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_diag ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_operator_commutative ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_anisotropic ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_stationary ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=43), RBF(length_scale=43)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=43), RBF(length_scale=43)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(6.56**2, 6.56**2) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * RBF(length_scale=0.33), 1.41**2 * RBF(length_scale=0.33)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * RBF(length_scale=0.5), 1.41**2 * RBF(length_scale=0.5)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=2) + WhiteKernel(noise_level=3), RBF(length_scale=2) + WhiteKernel(noise_level=3)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * RBF(length_scale=[0.5, 2]), 1.41**2 * RBF(length_scale=[0.5, 2])) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=0.33, nu=1.5), 1.41**2 * Matern(length_scale=0.33, nu=1.5)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=0.5, nu=0.5), 1.41**2 * Matern(length_scale=0.5, nu=0.5)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=1.5, nu=1.5), 1.41**2 * Matern(length_scale=1.5, nu=1.5)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=2.5, nu=2.5), 1.41**2 * Matern(length_scale=2.5, nu=2.5)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=[0.5, 2], nu=0.5), 1.41**2 * Matern(length_scale=[0.5, 2], nu=0.5)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.73**2 * Matern(length_scale=[2, 0.5], nu=1.5), 1.73**2 * Matern(length_scale=[2, 0.5], nu=1.5)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(2**2 * Matern(length_scale=[0.5, 0.5], nu=2.5), 2**2 * Matern(length_scale=[0.5, 0.5], nu=2.5)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RationalQuadratic(alpha=42, length_scale=43), RationalQuadratic(alpha=42, length_scale=43)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(ExpSineSquared(length_scale=42, periodicity=43), ExpSineSquared(length_scale=42, periodicity=43)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(DotProduct(sigma_0=43), DotProduct(sigma_0=43)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(DotProduct(sigma_0=2) ** 2, DotProduct(sigma_0=2) ** 2) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=43), RBF(length_scale=43)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(Matern(length_scale=43, nu=1.5), Matern(length_scale=43, nu=1.5)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=polynomial), PairwiseKernel(gamma=43, metric=polynomial)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=laplacian), PairwiseKernel(gamma=43, metric=laplacian)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=linear), PairwiseKernel(gamma=43, metric=linear)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=sigmoid), PairwiseKernel(gamma=43, metric=sigmoid)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=rbf), PairwiseKernel(gamma=43, metric=rbf)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=cosine), PairwiseKernel(gamma=43, metric=cosine)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=poly), PairwiseKernel(gamma=43, metric=poly)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone_after_set_params(RBF(length_scale=[43, 43]), RBF(length_scale=[43, 43])) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone_after_set_params(RBF(length_scale=[43, 43]), RBF(length_scale=[43, 43])) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone_after_set_params(RBF(length_scale=[43, 43]), RBF(length_scale=[43, 43])) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone_after_set_params(Matern(length_scale=[43, 43], nu=1.5), Matern(length_scale=[43, 43], nu=1.5)) ... ok sklearn.gaussian_process.tests.test_kernels.test_matern_kernel ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_versus_pairwise ... ok sklearn.gaussian_process.tests.test_kernels.test_set_get_params ... ok sklearn.gaussian_process.tests.test_kernels.test_repr_kernels ... ok sklearn.linear_model.tests.test_base.test_linear_regression ... ok sklearn.linear_model.tests.test_base.test_linear_regression_sample_weights ... ok sklearn.linear_model.tests.test_base.test_raises_value_error_if_sample_weights_greater_than_1d ... ok sklearn.linear_model.tests.test_base.test_fit_intercept ... ok sklearn.linear_model.tests.test_base.test_linear_regression_sparse ... ok sklearn.linear_model.tests.test_base.test_linear_regression_multiple_outcome ... ok sklearn.linear_model.tests.test_base.test_linear_regression_sparse_multiple_outcome ... ok sklearn.linear_model.tests.test_base.test_preprocess_data ... ok sklearn.linear_model.tests.test_base.test_preprocess_data_multioutput ... ok sklearn.linear_model.tests.test_base.test_preprocess_data_weighted ... ok sklearn.linear_model.tests.test_base.test_sparse_preprocess_data_with_return_mean ... ok sklearn.linear_model.tests.test_base.test_deprecation_center_data ... ok sklearn.linear_model.tests.test_base.test_csr_preprocess_data ... ok sklearn.linear_model.tests.test_base.test_dtype_preprocess_data ... ok sklearn.linear_model.tests.test_base.test_rescale_data ... ok sklearn.linear_model.tests.test_bayes.test_bayesian_on_diabetes ... SKIP: XFailed Test sklearn.linear_model.tests.test_bayes.test_bayesian_ridge_parameter ... ok sklearn.linear_model.tests.test_bayes.test_toy_bayesian_ridge_object ... ok sklearn.linear_model.tests.test_bayes.test_toy_ard_object ... ok sklearn.linear_model.tests.test_bayes.test_return_std ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_zero ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_toy ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_toy ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv_with_some_model_selection ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_split.py:605: Warning: The least populated class in y has only 1 members, which is too few. The minimum number of members in any class cannot be less than n_splits=5. % (min_groups, self.n_splits)), Warning) ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv_positive_constraint ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_path_return_models_vs_new_return_gives_same_coefficients ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_path ... ok sklearn.linear_model.tests.test_coordinate_descent.test_path_parameters ... ok sklearn.linear_model.tests.test_coordinate_descent.test_warm_start ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_alpha_warning ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_positive_constraint ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_positive_constraint ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_cv_positive_constraint ... ok sklearn.linear_model.tests.test_coordinate_descent.test_uniform_targets ... ok sklearn.linear_model.tests.test_coordinate_descent.test_multi_task_lasso_and_enet ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_readonly_data ... ok sklearn.linear_model.tests.test_coordinate_descent.test_multi_task_lasso_readonly_data ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_multitarget ... ok sklearn.linear_model.tests.test_coordinate_descent.test_multioutput_enetcv_error ... ok sklearn.linear_model.tests.test_coordinate_descent.test_multitask_enet_and_lasso_cv ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok sklearn.linear_model.tests.test_coordinate_descent.test_1d_multioutput_enet_and_multitask_enet_cv ... ok sklearn.linear_model.tests.test_coordinate_descent.test_1d_multioutput_lasso_and_multitask_lasso_cv ... ok sklearn.linear_model.tests.test_coordinate_descent.test_sparse_input_dtype_enet_and_lassocv ... ok sklearn.linear_model.tests.test_coordinate_descent.test_precompute_invalid_argument ... ok sklearn.linear_model.tests.test_coordinate_descent.test_warm_start_convergence ... ok sklearn.linear_model.tests.test_coordinate_descent.test_warm_start_convergence_with_regularizer_decrement ... ok sklearn.linear_model.tests.test_coordinate_descent.test_random_descent ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_path_positive ... ok sklearn.linear_model.tests.test_coordinate_descent.test_sparse_dense_descent_paths ... ok sklearn.linear_model.tests.test_coordinate_descent.test_check_input_false ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok sklearn.linear_model.tests.test_coordinate_descent.test_overrided_gram_matrix ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_non_float_y ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_float_precision ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_l1_ratio ... ok sklearn.linear_model.tests.test_huber.test_huber_equals_lr_for_high_epsilon ... ok sklearn.linear_model.tests.test_huber.test_huber_gradient ... ok sklearn.linear_model.tests.test_huber.test_huber_sample_weights ... ok sklearn.linear_model.tests.test_huber.test_huber_sparse ... ok sklearn.linear_model.tests.test_huber.test_huber_scaling_invariant ... ok sklearn.linear_model.tests.test_huber.test_huber_and_sgd_same_results ... ok sklearn.linear_model.tests.test_huber.test_huber_warm_start ... ok sklearn.linear_model.tests.test_huber.test_huber_better_r2_score ... ok sklearn.linear_model.tests.test_least_angle.test_simple ... ok sklearn.linear_model.tests.test_least_angle.test_simple_precomputed ... ok sklearn.linear_model.tests.test_least_angle.test_all_precomputed ... ok sklearn.linear_model.tests.test_least_angle.test_lars_lstsq ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_gives_lstsq_solution ... ok sklearn.linear_model.tests.test_least_angle.test_collinearity ... ok sklearn.linear_model.tests.test_least_angle.test_no_path ... ok sklearn.linear_model.tests.test_least_angle.test_no_path_precomputed ... ok sklearn.linear_model.tests.test_least_angle.test_no_path_all_precomputed ... ok sklearn.linear_model.tests.test_least_angle.test_lars_precompute ... ok sklearn.linear_model.tests.test_least_angle.test_singular_matrix ... ok sklearn.linear_model.tests.test_least_angle.test_rank_deficient_design ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_early_stopping ... ok sklearn.linear_model.tests.test_least_angle.test_multitarget ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_path_length ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_ill_conditioned ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_ill_conditioned2 ... ok sklearn.linear_model.tests.test_least_angle.test_lars_add_features ... ok sklearn.linear_model.tests.test_least_angle.test_lars_n_nonzero_coefs ... ok sklearn.linear_model.tests.test_least_angle.test_lars_cv ... ok sklearn.linear_model.tests.test_least_angle.test_lars_cv_max_iter ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_ic ... ok sklearn.linear_model.tests.test_least_angle.test_lars_path_readonly_data ... ok sklearn.linear_model.tests.test_least_angle.test_lars_path_positive_constraint ... ok sklearn.linear_model.tests.test_least_angle.test_estimatorclasses_positive_constraint ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_positive ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_R_implementation ... ok sklearn.linear_model.tests.test_logistic.test_predict_2_classes ... ok sklearn.linear_model.tests.test_logistic.test_error ... ok sklearn.linear_model.tests.test_logistic.test_lr_liblinear_warning ... ok sklearn.linear_model.tests.test_logistic.test_predict_3_classes ... ok sklearn.linear_model.tests.test_logistic.test_predict_iris ... ok sklearn.linear_model.tests.test_logistic.test_multinomial_validation ... ok sklearn.linear_model.tests.test_logistic.test_check_solver_option ... ok sklearn.linear_model.tests.test_logistic.test_multinomial_binary ... ok sklearn.linear_model.tests.test_logistic.test_sparsify ... ok sklearn.linear_model.tests.test_logistic.test_inconsistent_input ... ok sklearn.linear_model.tests.test_logistic.test_write_parameters ... ok sklearn.linear_model.tests.test_logistic.test_nan ... ok sklearn.linear_model.tests.test_logistic.test_consistency_path ... ok sklearn.linear_model.tests.test_logistic.test_max_iter ... ok sklearn.linear_model.tests.test_logistic.test_liblinear_dual_random_state ... ok sklearn.linear_model.tests.test_logistic.test_logistic_loss_and_grad ... ok sklearn.linear_model.tests.test_logistic.test_logistic_grad_hess ... ok sklearn.linear_model.tests.test_logistic.test_logistic_cv ... ok sklearn.linear_model.tests.test_logistic.test_multinomial_logistic_regression_string_inputs ... ok sklearn.linear_model.tests.test_logistic.test_logistic_cv_sparse ... ok sklearn.linear_model.tests.test_logistic.test_intercept_logistic_helper ... ok sklearn.linear_model.tests.test_logistic.test_ovr_multinomial_iris ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_solvers ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_solvers_multiclass ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regressioncv_class_weights ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_sample_weights ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_class_weights ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_convergence_warnings ... iter 1 act 8.747e+00 pre 7.841e+00 delta 1.521e+00 f 1.386e+01 |g| 1.607e+01 CG 3 iter 2 act 9.618e-01 pre 8.065e-01 delta 1.521e+00 f 5.116e+00 |g| 3.834e+00 CG 2 ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_multinomial ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/sag.py:326: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge "the coef_ did not converge", ConvergenceWarning) ok sklearn.linear_model.tests.test_logistic.test_multinomial_grad_hess ... ok sklearn.linear_model.tests.test_logistic.test_liblinear_decision_function_zero ... ok sklearn.linear_model.tests.test_logistic.test_liblinear_logregcv_sparse ... ok sklearn.linear_model.tests.test_logistic.test_saga_sparse ... ok sklearn.linear_model.tests.test_logistic.test_logreg_intercept_scaling ... ok sklearn.linear_model.tests.test_logistic.test_logreg_intercept_scaling_zero ... ok sklearn.linear_model.tests.test_logistic.test_logreg_l1 ... ok sklearn.linear_model.tests.test_logistic.test_logreg_l1_sparse_data ... ok sklearn.linear_model.tests.test_logistic.test_logreg_cv_penalty ... ok sklearn.linear_model.tests.test_logistic.test_logreg_predict_proba_multinomial ... ok sklearn.linear_model.tests.test_logistic.test_n_iter ... ok sklearn.linear_model.tests.test_logistic.test_warm_start ... ok sklearn.linear_model.tests.test_logistic.test_saga_vs_liblinear ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/sag.py:326: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge "the coef_ did not converge", ConvergenceWarning) ok sklearn.linear_model.tests.test_logistic.test_dtype_match ... ok sklearn.linear_model.tests.test_omp.test_correct_shapes ... ok sklearn.linear_model.tests.test_omp.test_correct_shapes_gram ... ok sklearn.linear_model.tests.test_omp.test_n_nonzero_coefs ... ok sklearn.linear_model.tests.test_omp.test_tol ... ok sklearn.linear_model.tests.test_omp.test_with_without_gram ... ok sklearn.linear_model.tests.test_omp.test_with_without_gram_tol ... ok sklearn.linear_model.tests.test_omp.test_unreachable_accuracy ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py:385: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. copy_X=copy_X, return_path=return_path) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py:374: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. return_path=return_path) ok sklearn.linear_model.tests.test_omp.test_bad_input ... ok sklearn.linear_model.tests.test_omp.test_perfect_signal_recovery ... ok sklearn.linear_model.tests.test_omp.test_estimator ... ok sklearn.linear_model.tests.test_omp.test_identical_regressors ... ok sklearn.linear_model.tests.test_omp.test_swapped_regressors ... ok sklearn.linear_model.tests.test_omp.test_no_atoms ... ok sklearn.linear_model.tests.test_omp.test_omp_path ... ok sklearn.linear_model.tests.test_omp.test_omp_return_path_prop_with_gram ... ok sklearn.linear_model.tests.test_omp.test_omp_cv ... ok sklearn.linear_model.tests.test_omp.test_omp_reaches_least_squares ... ok sklearn.linear_model.tests.test_passive_aggressive.test_classifier_accuracy ... ok sklearn.linear_model.tests.test_passive_aggressive.test_classifier_partial_fit ... ok sklearn.linear_model.tests.test_passive_aggressive.test_classifier_refit ... ok sklearn.linear_model.tests.test_passive_aggressive.test_classifier_correctness ... ok sklearn.linear_model.tests.test_passive_aggressive.test_classifier_undefined_methods ... ok sklearn.linear_model.tests.test_passive_aggressive.test_class_weights ... ok sklearn.linear_model.tests.test_passive_aggressive.test_partial_fit_weight_class_balanced ... ok sklearn.linear_model.tests.test_passive_aggressive.test_equal_class_weight ... ok sklearn.linear_model.tests.test_passive_aggressive.test_wrong_class_weight_label ... ok sklearn.linear_model.tests.test_passive_aggressive.test_wrong_class_weight_format ... ok sklearn.linear_model.tests.test_passive_aggressive.test_regressor_mse ... ok sklearn.linear_model.tests.test_passive_aggressive.test_regressor_partial_fit ... ok sklearn.linear_model.tests.test_passive_aggressive.test_regressor_correctness ... ok sklearn.linear_model.tests.test_passive_aggressive.test_regressor_undefined_methods ... ok sklearn.linear_model.tests.test_perceptron.test_perceptron_accuracy ... ok sklearn.linear_model.tests.test_perceptron.test_perceptron_correctness ... ok sklearn.linear_model.tests.test_perceptron.test_undefined_methods ... ok sklearn.linear_model.tests.test_randomized_l1.test_randomized_lasso_precompute ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLasso is deprecated; The class RandomizedLasso is deprecated in 0.19 and will be removed in 0.21. warnings.warn(msg, category=DeprecationWarning) ok sklearn.linear_model.tests.test_randomized_l1.test_warning_raised ... ok sklearn.linear_model.tests.test_randomized_l1.test_lasso_stability_path ... ok sklearn.linear_model.tests.test_randomized_l1.test_randomized_lasso ... ok sklearn.linear_model.tests.test_randomized_l1.test_randomized_lasso_error_memory ... ok sklearn.linear_model.tests.test_randomized_l1.test_randomized_logistic ... ok sklearn.linear_model.tests.test_randomized_l1.test_randomized_logistic_sparse ... ok sklearn.linear_model.tests.test_ransac.test_ransac_inliers_outliers ... ok sklearn.linear_model.tests.test_ransac.test_ransac_is_data_valid ... ok sklearn.linear_model.tests.test_ransac.test_ransac_is_model_valid ... ok sklearn.linear_model.tests.test_ransac.test_ransac_max_trials ... ok sklearn.linear_model.tests.test_ransac.test_ransac_stop_n_inliers ... ok sklearn.linear_model.tests.test_ransac.test_ransac_stop_score ... ok sklearn.linear_model.tests.test_ransac.test_ransac_score ... ok sklearn.linear_model.tests.test_ransac.test_ransac_predict ... ok sklearn.linear_model.tests.test_ransac.test_ransac_resid_thresh_no_inliers ... ok sklearn.linear_model.tests.test_ransac.test_ransac_no_valid_data ... ok sklearn.linear_model.tests.test_ransac.test_ransac_no_valid_model ... ok sklearn.linear_model.tests.test_ransac.test_ransac_exceed_max_skips ... ok sklearn.linear_model.tests.test_ransac.test_ransac_warn_exceed_max_skips ... ok sklearn.linear_model.tests.test_ransac.test_ransac_sparse_coo ... ok sklearn.linear_model.tests.test_ransac.test_ransac_sparse_csr ... ok sklearn.linear_model.tests.test_ransac.test_ransac_sparse_csc ... ok sklearn.linear_model.tests.test_ransac.test_ransac_none_estimator ... ok sklearn.linear_model.tests.test_ransac.test_ransac_min_n_samples ... ok sklearn.linear_model.tests.test_ransac.test_ransac_multi_dimensional_targets ... ok sklearn.linear_model.tests.test_ransac.test_ransac_residual_metric ... ok sklearn.linear_model.tests.test_ransac.test_ransac_residual_loss ... ok sklearn.linear_model.tests.test_ransac.test_ransac_default_residual_threshold ... ok sklearn.linear_model.tests.test_ransac.test_ransac_dynamic_max_trials ... ok sklearn.linear_model.tests.test_ransac.test_ransac_fit_sample_weight ... ok sklearn.linear_model.tests.test_ridge.test_ridge ... ok sklearn.linear_model.tests.test_ridge.test_primal_dual_relationship ... ok sklearn.linear_model.tests.test_ridge.test_ridge_singular ... /usr/lib/python2.7/dist-packages/scipy/linalg/basic.py:223: RuntimeWarning: scipy.linalg.solve Ill-conditioned matrix detected. Result is not guaranteed to be accurate. Reciprocal condition number: 7.77205977152e-19 ' condition number: {}'.format(rcond), RuntimeWarning) ok sklearn.linear_model.tests.test_ridge.test_ridge_regression_sample_weights ... ok sklearn.linear_model.tests.test_ridge.test_ridge_sample_weights ... ok sklearn.linear_model.tests.test_ridge.test_ridge_shapes ... ok sklearn.linear_model.tests.test_ridge.test_ridge_intercept ... ok sklearn.linear_model.tests.test_ridge.test_toy_ridge_object ... ok sklearn.linear_model.tests.test_ridge.test_ridge_vs_lstsq ... ok sklearn.linear_model.tests.test_ridge.test_ridge_individual_penalties ... ok sklearn.linear_model.tests.test_ridge.test_n_iter ... ok sklearn.linear_model.tests.test_ridge.test_dense_sparse(,) ... ok sklearn.linear_model.tests.test_ridge.test_dense_sparse(,) ... ok sklearn.linear_model.tests.test_ridge.test_dense_sparse(,) ... ok sklearn.linear_model.tests.test_ridge.test_dense_sparse(,) ... ok sklearn.linear_model.tests.test_ridge.test_dense_sparse(,) ... ok sklearn.linear_model.tests.test_ridge.test_dense_sparse(,) ... ok sklearn.linear_model.tests.test_ridge.test_dense_sparse(,) ... ok sklearn.linear_model.tests.test_ridge.test_ridge_cv_sparse_svd ... ok sklearn.linear_model.tests.test_ridge.test_ridge_sparse_svd ... ok sklearn.linear_model.tests.test_ridge.test_class_weights ... ok Check class_weights resemble sample_weights behavior. ... ok sklearn.linear_model.tests.test_ridge.test_class_weights_cv ... ok sklearn.linear_model.tests.test_ridge.test_ridgecv_store_cv_values ... ok sklearn.linear_model.tests.test_ridge.test_ridgecv_sample_weight ... ok sklearn.linear_model.tests.test_ridge.test_raises_value_error_if_sample_weights_greater_than_1d ... ok sklearn.linear_model.tests.test_ridge.test_sparse_design_with_sample_weights ... ok sklearn.linear_model.tests.test_ridge.test_raises_value_error_if_solver_not_supported ... ok sklearn.linear_model.tests.test_ridge.test_sparse_cg_max_iter ... ok sklearn.linear_model.tests.test_ridge.test_ridge_fit_intercept_sparse ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/ridge.py:319: UserWarning: In Ridge, only 'sag' solver can currently fit the intercept when X is sparse. Solver has been automatically changed into 'sag'. warnings.warn("In Ridge, only 'sag' solver can currently fit the " ok sklearn.linear_model.tests.test_ridge.test_errors_and_values_helper ... ok sklearn.linear_model.tests.test_ridge.test_errors_and_values_svd_helper ... ok sklearn.linear_model.tests.test_ridge.test_ridge_classifier_no_support_multilabel ... ok sklearn.linear_model.tests.test_ridge.test_dtype_match ... ok sklearn.linear_model.tests.test_ridge.test_dtype_match_cholesky ... ok tests binary classifier with classweights for each class ... ok sklearn.linear_model.tests.test_sag.test_classifier_matching ... ok tests if classifier results match target ... ok sklearn.linear_model.tests.test_sag.test_get_auto_step_size ... ok tests multiclass with classweights for each class ... ok sklearn.linear_model.tests.test_sag.test_regressor_matching ... ok tests if the binary classifier is computed correctly ... ok tests if the multiclass classifier is computed correctly ... ok tests if the sag pobj matches log reg ... ok tests if the sag pobj matches ridge reg ... ok tests if the sag regressor performs well ... ok tests if the sag regressor is computed correctly ... ok tests if ValueError is thrown with only one class ... ok sklearn.linear_model.tests.test_sag.test_step_size_alpha_error ... ok sklearn.linear_model.tests.test_sag.test_multinomial_loss ... ok sklearn.linear_model.tests.test_sag.test_multinomial_loss_ground_truth ... ok test_argument_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_average_binary_computed_correctly (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_balanced_weight (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_class_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_clone (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_equal_class_weight (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_fit_then_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_input_format (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_multiple_fit (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_binary (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_exception (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_multiclass_average (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_weight_class_balanced (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_provide_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_regression_losses (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sample_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_set_coef_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_set_intercept (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_set_intercept_binary (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_set_intercept_to_intercept (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_at_least_two_labels (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_alpha (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_eta0 (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_l1_ratio (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_learning_rate_schedule (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_l1 (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_max_iter_param (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_multiclass_average (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_multiclass_njobs (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_multiclass_with_init_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_proba (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) ok test_sgd_shuffle_param (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_warm_start_constant (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_warm_start_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_weights_multiplied (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_wrong_class_weight_format (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_wrong_class_weight_label (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_wrong_sample_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_average_sparse (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_clone (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_elasticnet_convergence (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_input_format (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_loss_function_epsilon (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_averaged_computed_correctly (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_averaged_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_epsilon_insensitive (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_huber_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_least_squares_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_warm_start_constant (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_argument_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_average_binary_computed_correctly (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_balanced_weight (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_class_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_clone (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_equal_class_weight (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_fit_then_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_input_format (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_multiple_fit (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_binary (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_exception (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_multiclass_average (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_weight_class_balanced (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_provide_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_regression_losses (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sample_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_set_coef_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_set_intercept (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_set_intercept_binary (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_set_intercept_to_intercept (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_at_least_two_labels (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_alpha (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_eta0 (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_l1_ratio (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_learning_rate_schedule (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_l1 (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_max_iter_param (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_multiclass_average (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_multiclass_njobs (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_multiclass_with_init_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_proba (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) ok test_sgd_shuffle_param (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_warm_start_constant (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_warm_start_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_weights_multiplied (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_wrong_class_weight_format (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_wrong_class_weight_label (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_wrong_sample_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_average_sparse (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_clone (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_elasticnet_convergence (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_input_format (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_loss_function_epsilon (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_averaged_computed_correctly (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_averaged_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_epsilon_insensitive (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_huber_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_least_squares_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_warm_start_constant (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok sklearn.linear_model.tests.test_sgd.test_tol_and_max_iter_default_values ... ok sklearn.linear_model.tests.test_sgd.test_l1_ratio ... ok sklearn.linear_model.tests.test_sgd.test_underflow_or_overlow ... ok sklearn.linear_model.tests.test_sgd.test_numerical_stability_large_gradient ... ok sklearn.linear_model.tests.test_sgd.test_large_regularization ... ok sklearn.linear_model.tests.test_sgd.test_tol_parameter ... ok sklearn.linear_model.tests.test_sgd.test_future_and_deprecation_warnings ... ok sklearn.linear_model.tests.test_sgd.test_gradient_hinge ... ok sklearn.linear_model.tests.test_sgd.test_gradient_squared_hinge ... ok sklearn.linear_model.tests.test_sgd.test_gradient_log ... ok sklearn.linear_model.tests.test_sgd.test_gradient_squared_loss ... ok sklearn.linear_model.tests.test_sgd.test_gradient_huber ... ok sklearn.linear_model.tests.test_sgd.test_gradient_modified_huber ... ok sklearn.linear_model.tests.test_sgd.test_gradient_epsilon_insensitive ... ok sklearn.linear_model.tests.test_sgd.test_gradient_squared_epsilon_insensitive ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_coef ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_normalize_option ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_lasso_zero ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_toy_list_input ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_toy_explicit_sparse_input ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_enet_not_as_toy_dataset ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_lasso_not_as_toy_dataset ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_multitarget ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_path_parameters ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_same_output_sparse_dense_lasso_and_enet_cv ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_same_multiple_output_sparse_dense ... ok sklearn.linear_model.tests.test_theil_sen.test_modweiszfeld_step_1d ... ok sklearn.linear_model.tests.test_theil_sen.test_modweiszfeld_step_2d ... ok sklearn.linear_model.tests.test_theil_sen.test_spatial_median_1d ... ok sklearn.linear_model.tests.test_theil_sen.test_spatial_median_2d ... ok sklearn.linear_model.tests.test_theil_sen.test_theil_sen_1d ... ok sklearn.linear_model.tests.test_theil_sen.test_theil_sen_1d_no_intercept ... ok sklearn.linear_model.tests.test_theil_sen.test_theil_sen_2d ... ok sklearn.linear_model.tests.test_theil_sen.test_calc_breakdown_point ... ok sklearn.linear_model.tests.test_theil_sen.test_checksubparams_negative_subpopulation ... ok sklearn.linear_model.tests.test_theil_sen.test_checksubparams_too_few_subsamples ... ok sklearn.linear_model.tests.test_theil_sen.test_checksubparams_too_many_subsamples ... ok sklearn.linear_model.tests.test_theil_sen.test_checksubparams_n_subsamples_if_less_samples_than_features ... ok sklearn.linear_model.tests.test_theil_sen.test_subpopulation ... ok sklearn.linear_model.tests.test_theil_sen.test_subsamples ... ok sklearn.linear_model.tests.test_theil_sen.test_verbosity ... ok sklearn.linear_model.tests.test_theil_sen.test_theil_sen_parallel ... ok sklearn.linear_model.tests.test_theil_sen.test_less_samples_than_features ... ok sklearn.manifold.tests.test_isomap.test_isomap_simple_grid ... ok sklearn.manifold.tests.test_isomap.test_isomap_reconstruction_error ... ok sklearn.manifold.tests.test_isomap.test_transform ... ok sklearn.manifold.tests.test_isomap.test_pipeline ... ok sklearn.manifold.tests.test_isomap.test_isomap_clone_bug ... ok sklearn.manifold.tests.test_locally_linear.test_barycenter_kneighbors_graph ... ok sklearn.manifold.tests.test_locally_linear.test_lle_simple_grid ... ok sklearn.manifold.tests.test_locally_linear.test_lle_manifold ... ok sklearn.manifold.tests.test_locally_linear.test_lle_init_parameters ... ok sklearn.manifold.tests.test_locally_linear.test_pipeline ... ok sklearn.manifold.tests.test_locally_linear.test_singular_matrix ... ok sklearn.manifold.tests.test_locally_linear.test_integer_input ... ok sklearn.manifold.tests.test_mds.test_smacof ... ok sklearn.manifold.tests.test_mds.test_smacof_error ... ok sklearn.manifold.tests.test_mds.test_MDS ... ok sklearn.manifold.tests.test_spectral_embedding.test_sparse_graph_connected_component ... ok sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_two_components ... ok sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_precomputed_affinity ... ok sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_callable_affinity ... ok sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_amg_solver ... SKIP: pyamg not available. sklearn.manifold.tests.test_spectral_embedding.test_pipeline_spectral_clustering ... ok sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_unknown_eigensolver ... ok sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_unknown_affinity ... ok sklearn.manifold.tests.test_spectral_embedding.test_connectivity ... ok sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_deterministic ... ok sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_unnormalized ... ok sklearn.manifold.tests.test_t_sne.test_gradient_descent_stops ... ok sklearn.manifold.tests.test_t_sne.test_binary_search ... ok sklearn.manifold.tests.test_t_sne.test_binary_search_neighbors ... ok sklearn.manifold.tests.test_t_sne.test_binary_perplexity_stability ... ok sklearn.manifold.tests.test_t_sne.test_gradient ... ok sklearn.manifold.tests.test_t_sne.test_trustworthiness ... ok sklearn.manifold.tests.test_t_sne.test_preserve_trustworthiness_approximately ... ok t-SNE should give a lower KL divergence with more iterations. ... ok sklearn.manifold.tests.test_t_sne.test_fit_csr_matrix ... ok sklearn.manifold.tests.test_t_sne.test_preserve_trustworthiness_approximately_with_precomputed_distances ... ok sklearn.manifold.tests.test_t_sne.test_early_exaggeration_too_small ... ok sklearn.manifold.tests.test_t_sne.test_too_few_iterations ... ok sklearn.manifold.tests.test_t_sne.test_non_square_precomputed_distances ... ok sklearn.manifold.tests.test_t_sne.test_non_positive_precomputed_distances ... ok sklearn.manifold.tests.test_t_sne.test_non_positive_computed_distances ... ok sklearn.manifold.tests.test_t_sne.test_init_not_available ... ok sklearn.manifold.tests.test_t_sne.test_init_ndarray ... ok sklearn.manifold.tests.test_t_sne.test_init_ndarray_precomputed ... ok sklearn.manifold.tests.test_t_sne.test_distance_not_available ... ok sklearn.manifold.tests.test_t_sne.test_method_not_available ... ok sklearn.manifold.tests.test_t_sne.test_angle_out_of_range_checks ... ok sklearn.manifold.tests.test_t_sne.test_pca_initialization_not_compatible_with_precomputed_kernel ... ok sklearn.manifold.tests.test_t_sne.test_n_components_range ... ok sklearn.manifold.tests.test_t_sne.test_early_exaggeration_used ... ok sklearn.manifold.tests.test_t_sne.test_n_iter_used ... ok sklearn.manifold.tests.test_t_sne.test_answer_gradient_two_points ... ok sklearn.manifold.tests.test_t_sne.test_answer_gradient_four_points ... ok sklearn.manifold.tests.test_t_sne.test_skip_num_points_gradient ... ok sklearn.manifold.tests.test_t_sne.test_verbose ... ok sklearn.manifold.tests.test_t_sne.test_chebyshev_metric ... ok sklearn.manifold.tests.test_t_sne.test_reduction_to_one_component ... ok sklearn.manifold.tests.test_t_sne.test_no_sparse_on_barnes_hut ... ok sklearn.manifold.tests.test_t_sne.test_64bit ... ok sklearn.manifold.tests.test_t_sne.test_barnes_hut_angle ... ok sklearn.manifold.tests.test_t_sne.test_min_grad_norm ... ok sklearn.manifold.tests.test_t_sne.test_n_iter_without_progress ... ok sklearn.manifold.tests.test_t_sne.test_accessible_kl_divergence ... ok sklearn.manifold.tests.test_t_sne.test_uniform_grid('barnes_hut',) ... ok sklearn.manifold.tests.test_t_sne.test_uniform_grid('exact',) ... ok sklearn.manifold.tests.test_t_sne.test_bh_match_exact ... ok Make sure that TSNE works for different distance metrics ... ok sklearn.metrics.cluster.tests.test_bicluster.test_jaccard ... ok sklearn.metrics.cluster.tests.test_bicluster.test_consensus_score ... ok Different number of biclusters in A and B ... ok sklearn.metrics.cluster.tests.test_supervised.test_error_messages_on_wrong_input ... ok sklearn.metrics.cluster.tests.test_supervised.test_perfect_matches ... ok sklearn.metrics.cluster.tests.test_supervised.test_homogeneous_but_not_complete_labeling ... ok sklearn.metrics.cluster.tests.test_supervised.test_complete_but_not_homogeneous_labeling ... ok sklearn.metrics.cluster.tests.test_supervised.test_not_complete_and_not_homogeneous_labeling ... ok sklearn.metrics.cluster.tests.test_supervised.test_non_consicutive_labels ... ok sklearn.metrics.cluster.tests.test_supervised.test_adjustment_for_chance ... ok sklearn.metrics.cluster.tests.test_supervised.test_adjusted_mutual_info_score ... ok sklearn.metrics.cluster.tests.test_supervised.test_expected_mutual_info_overflow ... ok sklearn.metrics.cluster.tests.test_supervised.test_entropy ... ok sklearn.metrics.cluster.tests.test_supervised.test_contingency_matrix ... ok sklearn.metrics.cluster.tests.test_supervised.test_contingency_matrix_sparse ... ok sklearn.metrics.cluster.tests.test_supervised.test_exactly_zero_info_score ... ok sklearn.metrics.cluster.tests.test_supervised.test_v_measure_and_mutual_information ... ok sklearn.metrics.cluster.tests.test_supervised.test_fowlkes_mallows_score ... ok sklearn.metrics.cluster.tests.test_supervised.test_fowlkes_mallows_score_properties ... ok sklearn.metrics.cluster.tests.test_unsupervised.test_silhouette ... ok sklearn.metrics.cluster.tests.test_unsupervised.test_cluster_size_1 ... ok sklearn.metrics.cluster.tests.test_unsupervised.test_correct_labelsize ... ok sklearn.metrics.cluster.tests.test_unsupervised.test_non_encoded_labels ... ok sklearn.metrics.cluster.tests.test_unsupervised.test_non_numpy_labels ... ok sklearn.metrics.cluster.tests.test_unsupervised.test_calinski_harabaz_score ... ok sklearn.metrics.tests.test_classification.test_multilabel_accuracy_score_subset_accuracy ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_binary ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f_binary_single_class ... ok sklearn.metrics.tests.test_classification.test_average_precision_score_score_non_binary_class ... ok sklearn.metrics.tests.test_classification.test_average_precision_score_duplicate_values ... ok sklearn.metrics.tests.test_classification.test_average_precision_score_tied_values ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f_unused_pos_label ... ok sklearn.metrics.tests.test_classification.test_matthews_corrcoef_nan ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multilabel_1 ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multilabel_2 ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_with_an_empty_prediction ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f_extra_labels ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f_ignored_labels ... ok sklearn.metrics.tests.test_classification.test_precision_recall_fscore_support_errors ... ok sklearn.metrics.tests.test_classification.test_confusion_matrix_binary ... ok sklearn.metrics.tests.test_classification.test_cohen_kappa ... ok sklearn.metrics.tests.test_classification.test_matthews_corrcoef_against_numpy_corrcoef ... ok sklearn.metrics.tests.test_classification.test_matthews_corrcoef_against_jurman ... ok sklearn.metrics.tests.test_classification.test_matthews_corrcoef ... ok sklearn.metrics.tests.test_classification.test_matthews_corrcoef_multiclass ... ok sklearn.metrics.tests.test_classification.test_matthews_corrcoef_overflow ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multiclass ... ok sklearn.metrics.tests.test_classification.test_precision_refcall_f1_score_multilabel_unordered_labels ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_binary_averaged ... ok sklearn.metrics.tests.test_classification.test_zero_precision_recall ... ok sklearn.metrics.tests.test_classification.test_confusion_matrix_multiclass ... ok Test confusion matrix - case with sample_weight ... ok sklearn.metrics.tests.test_classification.test_confusion_matrix_multiclass_subset_labels ... ok sklearn.metrics.tests.test_classification.test_confusion_matrix_dtype ... ok sklearn.metrics.tests.test_classification.test_classification_report_multiclass ... ok sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_digits ... ok sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_string_label ... ok sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_unicode_label ... ok sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_long_string_label ... ok sklearn.metrics.tests.test_classification.test_classification_report_labels_target_names_unequal_length ... ok sklearn.metrics.tests.test_classification.test_multilabel_classification_report ... ok sklearn.metrics.tests.test_classification.test_multilabel_zero_one_loss_subset ... ok sklearn.metrics.tests.test_classification.test_multilabel_hamming_loss ... ok sklearn.metrics.tests.test_classification.test_multilabel_jaccard_similarity_score ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_no_labels ... ok sklearn.metrics.tests.test_classification.test_prf_warnings ... ok sklearn.metrics.tests.test_classification.test_recall_warnings ... ok sklearn.metrics.tests.test_classification.test_precision_warnings ... ok sklearn.metrics.tests.test_classification.test_fscore_warnings ... ok sklearn.metrics.tests.test_classification.test_prf_average_binary_data_non_binary ... ok sklearn.metrics.tests.test_classification.test__check_targets ... ok sklearn.metrics.tests.test_classification.test__check_targets_multiclass_with_both_y_true_and_y_pred_binary ... ok sklearn.metrics.tests.test_classification.test_hinge_loss_binary ... ok sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass ... ok sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_missing_labels_with_labels_none ... ok sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_with_missing_labels ... ok sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_invariance_lists ... ok sklearn.metrics.tests.test_classification.test_log_loss ... ok sklearn.metrics.tests.test_classification.test_log_loss_pandas_input ... ok sklearn.metrics.tests.test_classification.test_brier_score_loss ... ok sklearn.metrics.tests.test_common.test_format_invariance_with_1d_vectors ... ok sklearn.metrics.tests.test_common.test_invariance_string_vs_numbers_labels ... ok sklearn.metrics.tests.test_common.test_multilabel_representation_invariance ... ok sklearn.metrics.tests.test_common.test_no_averaging_labels ... ok sklearn.metrics.tests.test_common.test_sample_order_invariance ... ok sklearn.metrics.tests.test_common.test_sample_order_invariance_multilabel_and_multioutput ... ok sklearn.metrics.tests.test_common.test_symmetry ... ok sklearn.metrics.tests.test_common.test_inf_nan_input ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('jaccard_similarity_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_accuracy_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('explained_variance_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('confusion_matrix',) ... ok sklearn.metrics.tests.test_common.test_single_sample('mean_absolute_error',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('mean_squared_error',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_zero_one_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('matthews_corrcoef_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_jaccard_similarity_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('median_absolute_error',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('r2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('zero_one_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('cohen_kappa_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('accuracy_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('hamming_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('mean_absolute_error',) ... ok sklearn.metrics.tests.test_common.test_single_sample('mean_squared_error',) ... ok sklearn.metrics.tests.test_common.test_single_sample('r2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('explained_variance_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('accuracy_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_accuracy_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('hamming_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('jaccard_similarity_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_jaccard_similarity_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('zero_one_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_zero_one_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('samples_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('samples_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('samples_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('samples_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('samples_recall_score',) ... ok sklearn.metrics.tests.test_common.test_multioutput_number_of_output_differ ... ok sklearn.metrics.tests.test_common.test_multioutput_regression_invariance_to_dimension_shuffling ... ok sklearn.metrics.tests.test_common.test_raise_value_error_multilabel_sequences ... ok sklearn.metrics.tests.test_common.test_normalize_option_binary_classification ... ok sklearn.metrics.tests.test_common.test_normalize_option_multiclass_classification ... ok sklearn.metrics.tests.test_common.test_normalize_option_multilabel_classification ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(recall_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(f1_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(f2_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(f0.5_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(recall_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(f1_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(f2_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(f0.5_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(roc_auc_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(average_precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(recall_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(f1_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(f2_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(f0.5_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(recall_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(f1_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(f2_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(f0.5_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(explained_variance_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(mean_absolute_error) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(mean_squared_error) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(r2_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(f1_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(f2_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f2_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f0.5_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(jaccard_similarity_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_recall_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_accuracy_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f0.5_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hinge_loss) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f0.5_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_zero_one_loss) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(matthews_corrcoef_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_jaccard_similarity_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_recall_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f1_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f2_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(f0.5_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(log_loss) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f2_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_log_loss) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(zero_one_loss) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f1_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(cohen_kappa_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(accuracy_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(recall_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f1_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(brier_score_loss) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_recall_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hamming_loss) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f2_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f0.5_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(jaccard_similarity_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_recall_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_accuracy_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f0.5_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hinge_loss) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f0.5_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_zero_one_loss) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(matthews_corrcoef_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_jaccard_similarity_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_recall_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f1_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f2_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(log_loss) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f2_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_log_loss) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(zero_one_loss) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f1_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(cohen_kappa_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(accuracy_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f1_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_recall_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hamming_loss) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(accuracy_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_accuracy_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hamming_loss) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(jaccard_similarity_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_jaccard_similarity_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(zero_one_loss) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_zero_one_loss) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f0.5_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f1_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f2_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_recall_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f0.5_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f1_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f2_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_recall_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f0.5_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f1_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f2_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_recall_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_f0.5_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_f1_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_f2_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_recall_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(log_loss) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_log_loss) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(roc_auc_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_roc_auc) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_roc_auc) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_roc_auc) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_roc_auc) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(average_precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_average_precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_average_precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_average_precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_average_precision_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(coverage_error) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(label_ranking_loss) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(mean_absolute_error) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(mean_squared_error) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(r2_score) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(explained_variance_score) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_distances ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_precomputed ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(, 'euclidean', {}) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(, , {'p': 1, 'w': array([ 1., 2., 3., 4.])}) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(, 'wminkowski', {'p': 1, 'w': array([ 1., 2., 3., 4.])}) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(, 'polynomial', {'degree': 1}) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(, , {'gamma': 0.1}) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_callable_nonstrict_metric ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_kernels ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_kernels_filter_param ... ok sklearn.metrics.tests.test_pairwise.test_paired_distances ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_boolean_distance ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_distances_argmin_min ... ok sklearn.metrics.tests.test_pairwise.test_euclidean_distances ... ok sklearn.metrics.tests.test_pairwise.test_cosine_distances ... ok sklearn.metrics.tests.test_pairwise.test_paired_euclidean_distances ... ok sklearn.metrics.tests.test_pairwise.test_paired_manhattan_distances ... ok sklearn.metrics.tests.test_pairwise.test_chi_square_kernel ... ok sklearn.metrics.tests.test_pairwise.test_kernel_symmetry ... ok sklearn.metrics.tests.test_pairwise.test_kernel_sparse ... ok sklearn.metrics.tests.test_pairwise.test_linear_kernel ... ok sklearn.metrics.tests.test_pairwise.test_rbf_kernel ... ok sklearn.metrics.tests.test_pairwise.test_laplacian_kernel ... ok sklearn.metrics.tests.test_pairwise.test_cosine_similarity_sparse_output ... ok sklearn.metrics.tests.test_pairwise.test_cosine_similarity ... ok sklearn.metrics.tests.test_pairwise.test_check_dense_matrices ... ok sklearn.metrics.tests.test_pairwise.test_check_XB_returned ... ok sklearn.metrics.tests.test_pairwise.test_check_different_dimensions ... ok sklearn.metrics.tests.test_pairwise.test_check_invalid_dimensions ... ok sklearn.metrics.tests.test_pairwise.test_check_sparse_arrays ... ok sklearn.metrics.tests.test_pairwise.test_check_tuple_input ... ok sklearn.metrics.tests.test_pairwise.test_check_preserve_type ... ok sklearn.metrics.tests.test_ranking.test_roc_curve ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_end_points ... ok sklearn.metrics.tests.test_ranking.test_roc_returns_consistency ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_multi ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_confidence ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_hard ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_one_label ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_toydata ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_drop_intermediate ... ok sklearn.metrics.tests.test_ranking.test_auc ... ok sklearn.metrics.tests.test_ranking.test_auc_duplicate_values ... ok sklearn.metrics.tests.test_ranking.test_auc_errors ... ok sklearn.metrics.tests.test_ranking.test_auc_score_non_binary_class ... ok sklearn.metrics.tests.test_ranking.test_binary_clf_curve ... ok sklearn.metrics.tests.test_ranking.test_precision_recall_curve ... ok sklearn.metrics.tests.test_ranking.test_precision_recall_curve_pos_label ... ok sklearn.metrics.tests.test_ranking.test_precision_recall_curve_errors ... ok sklearn.metrics.tests.test_ranking.test_precision_recall_curve_toydata ... ok sklearn.metrics.tests.test_ranking.test_average_precision_constant_values ... ok sklearn.metrics.tests.test_ranking.test_score_scale_invariance ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 2, 1, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 5, 1, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 10, 1, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 2, 2, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 5, 2, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 10, 2, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 2, 8, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 5, 8, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 10, 8, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 2, 20, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 5, 20, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 10, 20, 0) ... ok sklearn.metrics.tests.test_ranking.test_coverage_error ... ok sklearn.metrics.tests.test_ranking.test_coverage_tie_handling ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_loss ... ok sklearn.metrics.tests.test_ranking.test_ranking_appropriate_input_shape ... ok sklearn.metrics.tests.test_ranking.test_ranking_loss_ties_handling ... ok sklearn.metrics.tests.test_regression.test_regression_metrics ... ok sklearn.metrics.tests.test_regression.test_multioutput_regression ... ok sklearn.metrics.tests.test_regression.test_regression_metrics_at_limits ... ok sklearn.metrics.tests.test_regression.test__check_reg_targets ... ok sklearn.metrics.tests.test_regression.test__check_reg_targets_exception ... ok sklearn.metrics.tests.test_regression.test_regression_multioutput_array ... ok sklearn.metrics.tests.test_regression.test_regression_custom_weights ... ok sklearn.metrics.tests.test_score_objects.test_all_scorers_repr ... ok sklearn.metrics.tests.test_score_objects.test_check_scoring_and_check_multimetric_scoring ... ok sklearn.metrics.tests.test_score_objects.test_check_scoring_gridsearchcv ... ok sklearn.metrics.tests.test_score_objects.test_make_scorer ... ok sklearn.metrics.tests.test_score_objects.test_classification_scores ... ok sklearn.metrics.tests.test_score_objects.test_raises_on_score_list ... ok sklearn.metrics.tests.test_score_objects.test_scorer_sample_weight ... ok sklearn.metrics.tests.test_score_objects.test_regression_scorers ... ok sklearn.metrics.tests.test_score_objects.test_thresholded_scorers ... ok sklearn.metrics.tests.test_score_objects.test_thresholded_scorers_multilabel_indicator_data ... ok sklearn.metrics.tests.test_score_objects.test_supervised_cluster_scorers ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_samples',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_weighted',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_samples',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_median_absolute_error',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('adjusted_mutual_info_score',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('median_absolute_error',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('normalized_mutual_info_score',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_log_loss',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('log_loss',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_micro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_mean_absolute_error',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_samples',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('homogeneity_score',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_weighted',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('average_precision',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('fowlkes_mallows_score',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('adjusted_rand_score',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_macro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('v_measure_score',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('completeness_score',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('r2',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_weighted',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_macro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_mean_squared_error',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_mean_squared_log_error',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mutual_info_score',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_macro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_micro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mean_squared_error',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mean_absolute_error',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_micro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('roc_auc',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('explained_variance',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('accuracy',) ... ok sklearn.metrics.tests.test_score_objects.test_deprecated_names ... ok sklearn.metrics.tests.test_score_objects.test_scoring_is_not_metric ... ok sklearn.mixture.tests.test_bayesian_mixture.test_log_dirichlet_norm ... ok sklearn.mixture.tests.test_bayesian_mixture.test_log_wishart_norm ... ok sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_covariance_type ... ok sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_weight_concentration_prior_type ... ok sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_weights_prior_initialisation ... ok sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_means_prior_initialisation ... ok sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_precisions_prior_initialisation ... ok sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_check_is_fitted ... ok sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_weights ... ok sklearn.mixture.tests.test_bayesian_mixture.test_check_covariance_precision ... ok sklearn.mixture.tests.test_bayesian_mixture.test_invariant_translation ... ok sklearn.mixture.tests.test_bayesian_mixture.test_monotonic_likelihood ... ok sklearn.mixture.tests.test_bayesian_mixture.test_compare_covar_type ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok sklearn.mixture.tests.test_dpgmm.test_VBGMM_deprecation ... ok sklearn.mixture.tests.test_dpgmm.test_vbgmm_no_modify_alpha ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class VBGMM is deprecated; The `VBGMM` class is not working correctly and it's better to use `sklearn.mixture.BayesianGaussianMixture` class with parameter `weight_concentration_prior_type='dirichlet_distribution'` instead. VBGMM is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function digamma is deprecated; The function digamma is deprecated in 0.18 and will be removed in 0.20. Use scipy.special.digamma instead. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_normalize is deprecated; The function log_normalize is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function gammaln is deprecated; The function gammaln is deprecated in 0.18 and will be removed in 0.20. Use scipy.special.gammaln instead. warnings.warn(msg, category=DeprecationWarning) ok sklearn.mixture.tests.test_dpgmm.test_DPGMM_deprecation ... ok sklearn.mixture.tests.test_dpgmm.test_class_weights ... ok sklearn.mixture.tests.test_dpgmm.test_digamma ... ok sklearn.mixture.tests.test_dpgmm.test_gammaln ... ok sklearn.mixture.tests.test_dpgmm.test_log_normalize ... ok sklearn.mixture.tests.test_dpgmm.test_verbose_boolean ... ok sklearn.mixture.tests.test_dpgmm.test_verbose_first_level ... ok sklearn.mixture.tests.test_dpgmm.test_verbose_second_level ... ok sklearn.mixture.tests.test_dpgmm.test_wishart_log_det ... ok sklearn.mixture.tests.test_dpgmm.test_wishart_logz ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_attributes ... ok sklearn.mixture.tests.test_gaussian_mixture.test_check_X ... ok sklearn.mixture.tests.test_gaussian_mixture.test_check_weights ... ok sklearn.mixture.tests.test_gaussian_mixture.test_check_means ... ok sklearn.mixture.tests.test_gaussian_mixture.test_check_precisions ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gaussian_mixture.py:667: RuntimeWarning: underflow encountered in exp _estimate_gaussian_parameters(X, np.exp(log_resp), self.reg_covar, /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gaussian_mixture.py:167: RuntimeWarning: underflow encountered in multiply covariances[k] = np.dot(resp[:, k] * diff.T, diff) / nk[k] ok sklearn.mixture.tests.test_gaussian_mixture.test_init ... ok sklearn.mixture.tests.test_gaussian_mixture.test_suffstat_sk_full ... ok sklearn.mixture.tests.test_gaussian_mixture.test_suffstat_sk_tied ... ok sklearn.mixture.tests.test_gaussian_mixture.test_suffstat_sk_diag ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_suffstat_sk_spherical ... ok sklearn.mixture.tests.test_gaussian_mixture.test_compute_log_det_cholesky ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_log_probabilities ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_estimate_log_prob_resp ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_predict_predict_proba ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_fit ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_fit_best_params ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_fit_convergence_warning ... ok sklearn.mixture.tests.test_gaussian_mixture.test_multiple_init ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_n_parameters ... ok sklearn.mixture.tests.test_gaussian_mixture.test_bic_1d_1component ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_aic_bic ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_verbose ... ok sklearn.mixture.tests.test_gaussian_mixture.test_warm_start ... ok sklearn.mixture.tests.test_gaussian_mixture.test_score ... ok sklearn.mixture.tests.test_gaussian_mixture.test_score_samples ... ok sklearn.mixture.tests.test_gaussian_mixture.test_monotonic_likelihood ... ok sklearn.mixture.tests.test_gaussian_mixture.test_regularisation ... ok sklearn.mixture.tests.test_gaussian_mixture.test_property ... ok sklearn.mixture.tests.test_gaussian_mixture.test_sample ... ok test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) ok test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok test_train (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) ok test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) ok test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok test_train (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) ok test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) ok test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok test_train (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) ok test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) ok test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok test_train (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) ok test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok sklearn.mixture.tests.test_gmm.test_sample_gaussian ... ok sklearn.mixture.tests.test_gmm.test_lmvnpdf_diag ... ok sklearn.mixture.tests.test_gmm.test_lmvnpdf_spherical ... ok sklearn.mixture.tests.test_gmm.test_lmvnpdf_full ... ok sklearn.mixture.tests.test_gmm.test_lvmpdf_full_cv_non_positive_definite ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) ok sklearn.mixture.tests.test_gmm.test_1d_1component ... ok sklearn.mixture.tests.test_gmm.test_GMM_attributes ... ok sklearn.mixture.tests.test_gmm.test_aic ... ok test that gmm.fit_predict is equivalent to gmm.fit + gmm.predict ... ok sklearn.mixture.tests.test_gmm.test_multiple_init ... ok sklearn.mixture.tests.test_gmm.test_n_parameters ... ok sklearn.mixture.tests.test_gmm.test_verbose_first_level ... ok sklearn.mixture.tests.test_gmm.test_verbose_second_level ... ok sklearn.mixture.tests.test_gmm.test_positive_definite_covars('full',) ... ok sklearn.mixture.tests.test_gmm.test_positive_definite_covars('tied',) ... ok sklearn.mixture.tests.test_gmm.test_positive_definite_covars('diag',) ... ok sklearn.mixture.tests.test_gmm.test_positive_definite_covars('spherical',) ... ok sklearn.model_selection.tests.test_search.test_parameter_grid ... ok sklearn.model_selection.tests.test_search.test_grid_search ... [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s [Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s [Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished ok sklearn.model_selection.tests.test_search.test_grid_search_with_fit_params ... ok sklearn.model_selection.tests.test_search.test_random_search_with_fit_params ... ok sklearn.model_selection.tests.test_search.test_grid_search_fit_params_deprecation ... ok sklearn.model_selection.tests.test_search.test_grid_search_fit_params_two_places ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_search.py:584: DeprecationWarning: "fit_params" as a constructor argument was deprecated in version 0.19 and will be removed in version 0.21. Pass fit parameters to the "fit" method instead. '"fit" method instead.', DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_search.py:588: RuntimeWarning: Ignoring fit_params passed as a constructor argument in favor of keyword arguments to the "fit" method. 'the "fit" method.', RuntimeWarning) ok sklearn.model_selection.tests.test_search.test_grid_search_no_score ... ok sklearn.model_selection.tests.test_search.test_pandas_input ... ok sklearn.model_selection.tests.test_search.test_refit ... ok sklearn.model_selection.tests.test_search.test_search_cv_timing ... ok sklearn.model_selection.tests.test_search.test_grid_search_score_method ... ok sklearn.model_selection.tests.test_search.test_grid_search_groups ... ok sklearn.model_selection.tests.test_search.test_return_train_score_warn ... ok sklearn.model_selection.tests.test_search.test_classes__property ... ok sklearn.model_selection.tests.test_search.test_trivial_cv_results_attr ... ok sklearn.model_selection.tests.test_search.test_no_refit ... ok sklearn.model_selection.tests.test_search.test_grid_search_error ... ok sklearn.model_selection.tests.test_search.test_grid_search_one_grid_point ... ok sklearn.model_selection.tests.test_search.test_grid_search_when_param_grid_includes_range ... ok sklearn.model_selection.tests.test_search.test_grid_search_bad_param_grid ... ok sklearn.model_selection.tests.test_search.test_grid_search_sparse ... ok sklearn.model_selection.tests.test_search.test_grid_search_sparse_scoring ... ok sklearn.model_selection.tests.test_search.test_grid_search_precomputed_kernel ... ok sklearn.model_selection.tests.test_search.test_grid_search_precomputed_kernel_error_nonsquare ... ok sklearn.model_selection.tests.test_search.test_gridsearch_nd ... ok sklearn.model_selection.tests.test_search.test_X_as_list ... ok sklearn.model_selection.tests.test_search.test_y_as_list ... ok sklearn.model_selection.tests.test_search.test_unsupervised_grid_search ... ok sklearn.model_selection.tests.test_search.test_gridsearch_no_predict ... ok sklearn.model_selection.tests.test_search.test_param_sampler ... ok sklearn.model_selection.tests.test_search.test_grid_search_cv_results ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) ok sklearn.model_selection.tests.test_search.test_random_search_cv_results ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) ok sklearn.model_selection.tests.test_search.test_search_iid_param ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) ok sklearn.model_selection.tests.test_search.test_grid_search_cv_results_multimetric ... ok sklearn.model_selection.tests.test_search.test_random_search_cv_results_multimetric ... ok sklearn.model_selection.tests.test_search.test_search_cv_results_rank_tie_breaking ... ok sklearn.model_selection.tests.test_search.test_search_cv_results_none_param ... ok sklearn.model_selection.tests.test_search.test_grid_search_correct_score_results ... ok sklearn.model_selection.tests.test_search.test_fit_grid_point ... ok sklearn.model_selection.tests.test_search.test_pickle ... ok sklearn.model_selection.tests.test_search.test_grid_search_with_multioutput_data ... ok sklearn.model_selection.tests.test_search.test_predict_proba_disabled ... ok sklearn.model_selection.tests.test_search.test_grid_search_allows_nans ... ok sklearn.model_selection.tests.test_search.test_grid_search_failing_classifier ... ok sklearn.model_selection.tests.test_search.test_grid_search_failing_classifier_raise ... ok sklearn.model_selection.tests.test_search.test_parameters_sampler_replacement ... ok sklearn.model_selection.tests.test_search.test_stochastic_gradient_loss_param ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: underflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) ok sklearn.model_selection.tests.test_search.test_search_train_scores_set_to_false ... ok sklearn.model_selection.tests.test_search.test_grid_search_cv_splits_consistency ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split4_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split3_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) ok sklearn.model_selection.tests.test_search.test_transform_inverse_transform_round_trip ... [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s [Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s [Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished ok sklearn.model_selection.tests.test_split.test_2d_y ... ok sklearn.model_selection.tests.test_split.test_kfold_valueerrors ... ok sklearn.model_selection.tests.test_split.test_cross_validator_with_default_params ... ok sklearn.model_selection.tests.test_split.test_repeated_cv_value_errors ... ok sklearn.model_selection.tests.test_split.test_shufflesplit_errors ... ok sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_init ... ok sklearn.model_selection.tests.test_split.train_test_split_pandas ... ok sklearn.model_selection.tests.test_split.test_kfold_indices ... ok sklearn.model_selection.tests.test_split.test_kfold_no_shuffle ... ok sklearn.model_selection.tests.test_split.test_stratified_kfold_no_shuffle ... ok sklearn.model_selection.tests.test_split.test_stratified_kfold_ratios ... ok sklearn.model_selection.tests.test_split.test_kfold_balance ... ok sklearn.model_selection.tests.test_split.test_stratifiedkfold_balance ... ok sklearn.model_selection.tests.test_split.test_shuffle_kfold ... ok sklearn.model_selection.tests.test_split.test_shuffle_kfold_stratifiedkfold_reproducibility ... /usr/lib/python2.7/dist-packages/numpy/testing/utils.py:761: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future. val = comparison(x, y) ok sklearn.model_selection.tests.test_split.test_shuffle_stratifiedkfold ... ok sklearn.model_selection.tests.test_split.test_kfold_can_detect_dependent_samples_on_digits ... ok sklearn.model_selection.tests.test_split.test_shuffle_split ... ok sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_respects_test_size ... ok sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_iter ... ok sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_even ... ok sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_overlap_train_test_bug ... ok sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_multilabel ... ok sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_multilabel_many_labels ... ok sklearn.model_selection.tests.test_split.test_predefinedsplit_with_kfold_split ... ok sklearn.model_selection.tests.test_split.test_group_shuffle_split ... ok sklearn.model_selection.tests.test_split.test_leave_one_p_group_out ... ok sklearn.model_selection.tests.test_split.test_leave_group_out_changing_groups ... ok sklearn.model_selection.tests.test_split.test_leave_one_p_group_out_error_on_fewer_number_of_groups ... ok sklearn.model_selection.tests.test_split.test_repeated_kfold_determinstic_split ... ok sklearn.model_selection.tests.test_split.test_get_n_splits_for_repeated_kfold ... ok sklearn.model_selection.tests.test_split.test_get_n_splits_for_repeated_stratified_kfold ... ok sklearn.model_selection.tests.test_split.test_repeated_stratified_kfold_determinstic_split ... ok sklearn.model_selection.tests.test_split.test_train_test_split_errors ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_split.py:2026: FutureWarning: From version 0.21, test_size will always complement train_size unless both are specified. FutureWarning) ok sklearn.model_selection.tests.test_split.test_train_test_split ... ok sklearn.model_selection.tests.test_split.train_test_split_sparse ... ok sklearn.model_selection.tests.test_split.train_test_split_mock_pandas ... ok sklearn.model_selection.tests.test_split.train_test_split_list_input ... ok sklearn.model_selection.tests.test_split.test_shufflesplit_reproducible ... ok sklearn.model_selection.tests.test_split.test_stratifiedshufflesplit_list_input ... ok sklearn.model_selection.tests.test_split.test_train_test_split_allow_nans ... ok sklearn.model_selection.tests.test_split.test_check_cv ... ok sklearn.model_selection.tests.test_split.test_cv_iterable_wrapper ... ok sklearn.model_selection.tests.test_split.test_group_kfold ... ok sklearn.model_selection.tests.test_split.test_time_series_cv ... ok sklearn.model_selection.tests.test_split.test_time_series_max_train_size ... ok sklearn.model_selection.tests.test_split.test_nested_cv ... ok sklearn.model_selection.tests.test_split.test_train_test_default_warning ... ok sklearn.model_selection.tests.test_split.test_build_repr ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score ... ok sklearn.model_selection.tests.test_validation.test_cross_validate_invalid_scoring_param ... ok sklearn.model_selection.tests.test_validation.test_cross_validate(Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None, ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_r2'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) ok sklearn.model_selection.tests.test_validation.test_cross_validate(Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None, ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_neg_mean_squared_error'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) ok sklearn.model_selection.tests.test_validation.test_cross_validate(Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None, ... ok sklearn.model_selection.tests.test_validation.test_cross_validate(Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None, ... ok sklearn.model_selection.tests.test_validation.test_cross_validate_return_train_score_warn ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_predict_groups ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_pandas ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_mask ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_precomputed ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_fit_params ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_score_func ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_errors ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_with_score_func_classification ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_with_score_func_regression ... ok sklearn.model_selection.tests.test_validation.test_permutation_score ... ok sklearn.model_selection.tests.test_validation.test_permutation_test_score_allow_nans ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_allow_nans ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_multilabel ... ok sklearn.model_selection.tests.test_validation.test_cross_val_predict ... ok sklearn.model_selection.tests.test_validation.test_cross_val_predict_decision_function_shape ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (1) does not match total number of classes (2). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds RuntimeWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (7) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds RuntimeWarning) ok sklearn.model_selection.tests.test_validation.test_cross_val_predict_predict_proba_shape ... ok sklearn.model_selection.tests.test_validation.test_cross_val_predict_predict_log_proba_shape ... ok sklearn.model_selection.tests.test_validation.test_cross_val_predict_input_types ... ok sklearn.model_selection.tests.test_validation.test_cross_val_predict_pandas ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_sparse_fit_params ... ok sklearn.model_selection.tests.test_validation.test_learning_curve ... ok sklearn.model_selection.tests.test_validation.test_learning_curve_unsupervised ... ok sklearn.model_selection.tests.test_validation.test_learning_curve_verbose ... [Parallel(n_jobs=1)]: Done 15 out of 15 | elapsed: 0.0s finished ok sklearn.model_selection.tests.test_validation.test_learning_curve_incremental_learning_not_possible ... ok sklearn.model_selection.tests.test_validation.test_learning_curve_incremental_learning ... ok sklearn.model_selection.tests.test_validation.test_learning_curve_incremental_learning_unsupervised ... ok sklearn.model_selection.tests.test_validation.test_learning_curve_batch_and_incremental_learning_are_equal ... ok sklearn.model_selection.tests.test_validation.test_learning_curve_n_sample_range_out_of_bounds ... ok sklearn.model_selection.tests.test_validation.test_learning_curve_remove_duplicate_sample_sizes ... ok sklearn.model_selection.tests.test_validation.test_learning_curve_with_boolean_indices ... ok sklearn.model_selection.tests.test_validation.test_learning_curve_with_shuffle ... ok sklearn.model_selection.tests.test_validation.test_validation_curve ... ok sklearn.model_selection.tests.test_validation.test_validation_curve_clone_estimator ... ok sklearn.model_selection.tests.test_validation.test_validation_curve_cv_splits_consistency ... ok sklearn.model_selection.tests.test_validation.test_check_is_permutation ... ok sklearn.model_selection.tests.test_validation.test_cross_val_predict_sparse_prediction ... ok sklearn.model_selection.tests.test_validation.test_cross_val_predict_with_method ... ok sklearn.model_selection.tests.test_validation.test_cross_val_predict_method_checking ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) ok sklearn.model_selection.tests.test_validation.test_gridsearchcv_cross_val_predict_with_method ... ok sklearn.model_selection.tests.test_validation.test_cross_val_predict_class_subset ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (7) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds RuntimeWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (8) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds RuntimeWarning) ok sklearn.model_selection.tests.test_validation.test_score_memmap ... ok sklearn.model_selection.tests.test_validation.test_permutation_test_score_pandas ... ok sklearn.neighbors.tests.test_approximate.test_lsh_forest_deprecation ... ok sklearn.neighbors.tests.test_approximate.test_neighbors_accuracy_with_n_candidates ... ok sklearn.neighbors.tests.test_approximate.test_neighbors_accuracy_with_n_estimators ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/approximate.py:291: UserWarning: Number of candidates is not sufficient to retrieve 5 neighbors with min_hash_match = 4. Candidates are filled up uniformly from unselected indices. " indices." % (n_neighbors, self.min_hash_match)) ok sklearn.neighbors.tests.test_approximate.test_radius_neighbors ... ok sklearn.neighbors.tests.test_approximate.test_kneighbors ... ok sklearn.neighbors.tests.test_approximate.test_radius_neighbors_boundary_handling ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (2 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok sklearn.neighbors.tests.test_approximate.test_distances ... ok sklearn.neighbors.tests.test_approximate.test_fit ... ok sklearn.neighbors.tests.test_approximate.test_partial_fit ... ok sklearn.neighbors.tests.test_approximate.test_hash_functions ... ok sklearn.neighbors.tests.test_approximate.test_candidates ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/approximate.py:291: UserWarning: Number of candidates is not sufficient to retrieve 3 neighbors with min_hash_match = 32. Candidates are filled up uniformly from unselected indices. " indices." % (n_neighbors, self.min_hash_match)) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/approximate.py:291: UserWarning: Number of candidates is not sufficient to retrieve 5 neighbors with min_hash_match = 31. Candidates are filled up uniformly from unselected indices. " indices." % (n_neighbors, self.min_hash_match)) ok sklearn.neighbors.tests.test_approximate.test_graphs ... ok sklearn.neighbors.tests.test_approximate.test_sparse_input ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('matching',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('jaccard',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('dice',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('kulsinski',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('rogerstanimoto',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('russellrao',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('sokalmichener',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('sokalsneath',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_discrete_metrics('hamming',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_discrete_metrics('canberra',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_discrete_metrics('braycurtis',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_radius ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_radius_distance ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_ball_tree.py:145: RuntimeWarning: underflow encountered in exp return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1) sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_gaussian_kde ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_ball_tree.py:201: RuntimeWarning: underflow encountered in exp dens_bt = bt.kernel_density(x_out[:, None], h) / n_samples /usr/lib/python2.7/dist-packages/scipy/stats/kde.py:222: RuntimeWarning: underflow encountered in exp result[i] = sum(exp(-energy), axis=0) ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_two_point(array([ 0. , 0.11111111, 0.22222222, 0.33333333, 0.44444444, ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_two_point(array([ 0. , 0.11111111, 0.22222222, 0.33333333, 0.44444444, ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_pickle(0,) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_pickle(1,) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_pickle(2,) ... ok sklearn.neighbors.tests.test_ball_tree.test_neighbors_heap ... ok sklearn.neighbors.tests.test_ball_tree.test_node_heap ... ok sklearn.neighbors.tests.test_ball_tree.test_simultaneous_sort ... ok sklearn.neighbors.tests.test_ball_tree.test_query_haversine ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('chebyshev', {}, array([[ 0.53861588, 0.45094267, 0.28419442, 0.41701564, 0.69508182, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('euclidean', {}, array([[ 0.67507694, 0.64211239, 0.37730269, 0.63475751, 0.9096805 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('wminkowski', {'p': 1, 'w': array([ 0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[ 0.51149072, 0.42978945, 0.28691315, 0.31414856, 0.67822857, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('wminkowski', {'p': 1.5, 'w': array([ 0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[ 0.35478506, 0.34649572, 0.21080154, 0.22142038, 0.53671639, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('wminkowski', {'p': 3, 'w': array([ 0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[ 0.26214981, 0.3151016 , 0.16585854, 0.16045352, 0.48619498, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('canberra', {}, array([[ 1.45964409, 1.25116805, 0.56385105, 1.46151151, 2.11940325, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('hamming', {}, array([[ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 1}, array([[ 1.21796151, 0.99804582, 0.64796144, 1.09320258, 1.49914561, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 1.5}, array([[ 0.8092389 , 0.73433834, 0.44607985, 0.75978393, 1.06004733, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 2}, array([[ 0.67507694, 0.64211239, 0.37730269, 0.63475751, 0.9096805 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 3}, array([[ 0.58384805, 0.56795898, 0.32594322, 0.53204405, 0.79637583, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('cityblock', {}, array([[ 1.21796151, 0.99804582, 0.64796144, 1.09320258, 1.49914561, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('seuclidean', {'V': array([ 0.22741463, 0.25435648, 0.05802916, 0.43441663])}, array([[ 2.37482514, 1.1721197 , 1.26879784, 1.66071271, 1.85983097, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('mahalanobis', {'VI': array([[ 0.80314541, 0.98494408, 0.59389881, 1.16113843], ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('braycurtis', {}, array([[ 0.31225657, 0.25850558, 0.13215958, 0.29289755, 0.38919585, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('matching', array([[ 0.75, 0.5 , 0.25, 0.75, 0.5 , 0.25, 0.25, 0.5 , 0.5 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('jaccard', array([[ 0.75 , 0.5 , 0.25 , 0.75 , 0.5 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('dice', array([[ 0.6 , 0.33333333, 0.14285714, 0.6 , 0.33333333, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('kulsinski', array([[ 0.85714286, 0.66666667, 0.4 , 0.85714286, 0.66666667, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('rogerstanimoto', array([[ 0.85714286, 0.66666667, 0.4 , 0.85714286, 0.66666667, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('russellrao', array([[ 0.75, 0.5 , 0.25, 0.75, 0.5 , 0.25, 0.25, 0.5 , 0.5 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('sokalmichener', array([[ 0.85714286, 0.66666667, 0.4 , 0.85714286, 0.66666667, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('sokalsneath', array([[ 0.85714286, 0.66666667, 0.4 , 0.85714286, 0.66666667, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('chebyshev', {}, array([[ 0. , 0.34688982, 0.41484926, 0.53172732, 0.52859511, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('euclidean', {}, array([[ 0. , 0.40997835, 0.5640201 , 0.73274389, 0.65549553, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('wminkowski', {'p': 1, 'w': array([ 0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[ 0. , 0.21197555, 0.43461091, 0.43558715, 0.37123525, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('wminkowski', {'p': 1.5, 'w': array([ 0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[ 0. , 0.13471566, 0.31498027, 0.30704769, 0.24525516, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('wminkowski', {'p': 3, 'w': array([ 0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[ 0. , 0.08691326, 0.24582898, 0.2276954 , 0.1766636 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('canberra', {}, array([[ 0. , 0.57984003, 0.72664541, 1.65888213, 1.36160847, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('hamming', {}, array([[ 0., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 1}, array([[ 0. , 0.70651994, 0.95154703, 1.21911953, 1.14654793, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 1.5}, array([[ 0. , 0.48135148, 0.66512238, 0.85934453, 0.77585798, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 2}, array([[ 0. , 0.40997835, 0.5640201 , 0.73274389, 0.65549553, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 3}, array([[ 0. , 0.36478684, 0.48581161, 0.63461015, 0.57396051, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('cityblock', {}, array([[ 0. , 0.70651994, 0.95154703, 1.21911953, 1.14654793, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('seuclidean', {'V': array([ 0.22741463, 0.25435648, 0.05802916, 0.43441663])}, array([[ 0. , 0.91374016, 1.34363768, 2.35165824, 1.43398969, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('mahalanobis', {'VI': array([[ 0.80314541, 0.98494408, 0.59389881, 1.16113843], ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('braycurtis', {}, array([[ 0. , 0.14686859, 0.1873355 , 0.30002036, 0.23338654, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('matching', array([[ 0. , 0.5 , 0.25, 0.5 , 0.25, 0.25, 0.5 , 0.5 , 0.5 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('jaccard', array([[ 0. , 0.5 , 0.25 , 0.5 , 0.25 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('dice', array([[ 0. , 0.33333333, 0.14285714, 0.33333333, 0.14285714, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('kulsinski', array([[ 0. , 0.66666667, 0.4 , 0.66666667, 0.4 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('rogerstanimoto', array([[ 0. , 0.66666667, 0.4 , 0.66666667, 0.4 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('russellrao', array([[ 0. , 0.5 , 0.25, 0.5 , 0.25, 0.25, 0.5 , 0.5 , 0.5 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('sokalmichener', array([[ 0. , 0.66666667, 0.4 , 0.66666667, 0.4 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('sokalsneath', array([[ 0. , 0.66666667, 0.4 , 0.66666667, 0.4 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('chebyshev', {}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('euclidean', {}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('wminkowski', {'p': 1, 'w': array([ 0.31179588, 0.69634349, 0.37775184, 0.17960368])}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('wminkowski', {'p': 1.5, 'w': array([ 0.31179588, 0.69634349, 0.37775184, 0.17960368])}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('wminkowski', {'p': 3, 'w': array([ 0.31179588, 0.69634349, 0.37775184, 0.17960368])}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('canberra', {}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('hamming', {}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 1}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 1.5}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 2}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('cityblock', {}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('seuclidean', {'V': array([ 0.22741463, 0.25435648, 0.05802916, 0.43441663])}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('mahalanobis', {'VI': array([[ 0.80314541, 0.98494408, 0.59389881, 1.16113843], ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('braycurtis', {}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('matching',) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('jaccard',) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('dice',) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('kulsinski',) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('rogerstanimoto',) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('russellrao',) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('sokalmichener',) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('sokalsneath',) ... ok sklearn.neighbors.tests.test_dist_metrics.test_haversine_metric ... ok sklearn.neighbors.tests.test_dist_metrics.test_pyfunc_metric ... ok sklearn.neighbors.tests.test_dist_metrics.test_bad_pyfunc_metric ... ok sklearn.neighbors.tests.test_dist_metrics.test_input_data_size ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query_radius ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query_radius_distance ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kd_tree.py:98: RuntimeWarning: underflow encountered in exp return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1) sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_gaussian_kde ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kd_tree.py:153: RuntimeWarning: underflow encountered in exp dens_kdt = kdt.kernel_density(x_out[:, None], h) / n_samples ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_two_point(array([ 0. , 0.11111111, 0.22222222, 0.33333333, 0.44444444, ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_two_point(array([ 0. , 0.11111111, 0.22222222, 0.33333333, 0.44444444, ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_pickle(0,) ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_pickle(1,) ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_pickle(2,) ... ok sklearn.neighbors.tests.test_kd_tree.test_neighbors_heap ... ok sklearn.neighbors.tests.test_kd_tree.test_node_heap ... ok sklearn.neighbors.tests.test_kd_tree.test_simultaneous_sort ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kde.py:17: RuntimeWarning: underflow encountered in exp return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kde.py:17: RuntimeWarning: underflow encountered in multiply return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1) sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kde.py:36: RuntimeWarning: underflow encountered in exp assert_allclose(np.exp(log_dens), dens_true, /usr/lib/python2.7/dist-packages/numpy/core/numeric.py:2524: RuntimeWarning: underflow encountered in multiply result = less_equal(abs(x-y), atol + rtol * abs(y)) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kde.py:38: RuntimeWarning: underflow encountered in exp assert_allclose(np.exp(kde.score(Y)), ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density_sampling ... ok sklearn.neighbors.tests.test_kde.test_kde_algorithm_metric_choice ... ok sklearn.neighbors.tests.test_kde.test_kde_score ... ok sklearn.neighbors.tests.test_kde.test_kde_badargs ... ok sklearn.neighbors.tests.test_kde.test_kde_pipeline_gridsearch ... ok sklearn.neighbors.tests.test_lof.test_lof ... ok sklearn.neighbors.tests.test_lof.test_lof_performance ... ok sklearn.neighbors.tests.test_lof.test_lof_values ... ok Tests LOF with a distance matrix. ... ok sklearn.neighbors.tests.test_lof.test_n_neighbors_attribute ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (500) is greater than the total number of samples (150). n_neighbors will be set to (n_samples - 1) for estimation. % (self.n_neighbors, n_samples)) ok sklearn.neighbors.tests.test_nearest_centroid.test_classification_toy ... ok sklearn.neighbors.tests.test_nearest_centroid.test_precomputed ... ok sklearn.neighbors.tests.test_nearest_centroid.test_iris ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/nearest_centroid.py:140: UserWarning: Averaging for metrics other than euclidean and manhattan not supported. The average is set to be the mean. warnings.warn("Averaging for metrics other than " ok sklearn.neighbors.tests.test_nearest_centroid.test_iris_shrinkage ... ok sklearn.neighbors.tests.test_nearest_centroid.test_pickle ... ok sklearn.neighbors.tests.test_nearest_centroid.test_shrinkage_correct ... ok sklearn.neighbors.tests.test_nearest_centroid.test_shrinkage_threshold_decoded_y ... ok sklearn.neighbors.tests.test_nearest_centroid.test_predict_translated_data ... ok sklearn.neighbors.tests.test_nearest_centroid.test_manhattan_metric ... ok sklearn.neighbors.tests.test_neighbors.test_unsupervised_kneighbors ... ok sklearn.neighbors.tests.test_neighbors.test_unsupervised_inputs ... ok Tests unsupervised NearestNeighbors with a distance matrix. ... ok sklearn.neighbors.tests.test_neighbors.test_precomputed_cross_validation ... ok sklearn.neighbors.tests.test_neighbors.test_unsupervised_radius_neighbors ... ok sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier ... ok sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier_float_labels ... ok sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier_predict_proba ... ok sklearn.neighbors.tests.test_neighbors.test_pairwise_boolean_distance ... ok sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier ... ok sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier_when_no_neighbors ... ok sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier_outlier_labeling ... ok sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier_zero_distance ... ok sklearn.neighbors.tests.test_neighbors.test_neighbors_regressors_zero_distance ... ok Test whether points lying on boundary are handled consistently ... ok sklearn.neighbors.tests.test_neighbors.test_RadiusNeighborsClassifier_multioutput ... ok sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier_sparse ... ok sklearn.neighbors.tests.test_neighbors.test_KNeighborsClassifier_multioutput ... ok sklearn.neighbors.tests.test_neighbors.test_kneighbors_regressor ... ok sklearn.neighbors.tests.test_neighbors.test_KNeighborsRegressor_multioutput_uniform_weight ... ok sklearn.neighbors.tests.test_neighbors.test_kneighbors_regressor_multioutput ... ok sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_regressor ... ok sklearn.neighbors.tests.test_neighbors.test_RadiusNeighborsRegressor_multioutput_with_uniform_weight ... ok sklearn.neighbors.tests.test_neighbors.test_RadiusNeighborsRegressor_multioutput ... ok sklearn.neighbors.tests.test_neighbors.test_kneighbors_regressor_sparse ... ok sklearn.neighbors.tests.test_neighbors.test_neighbors_iris ... ok sklearn.neighbors.tests.test_neighbors.test_neighbors_digits ... ok sklearn.neighbors.tests.test_neighbors.test_kneighbors_graph ... ok sklearn.neighbors.tests.test_neighbors.test_kneighbors_graph_sparse ... ok sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_graph ... ok sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_graph_sparse ... ok sklearn.neighbors.tests.test_neighbors.test_neighbors_badargs ... ok sklearn.neighbors.tests.test_neighbors.test_neighbors_metrics ... ok sklearn.neighbors.tests.test_neighbors.test_callable_metric ... ok sklearn.neighbors.tests.test_neighbors.test_valid_brute_metric_for_auto_algorithm ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype float64 was converted to bool by check_pairwise_arrays. warnings.warn(msg, DataConversionWarning) ok sklearn.neighbors.tests.test_neighbors.test_metric_params_interface ... ok sklearn.neighbors.tests.test_neighbors.test_predict_sparse_ball_kd_tree ... ok sklearn.neighbors.tests.test_neighbors.test_non_euclidean_kneighbors ... ok sklearn.neighbors.tests.test_neighbors.test_k_and_radius_neighbors_train_is_not_query ... ok sklearn.neighbors.tests.test_neighbors.test_k_and_radius_neighbors_X_None ... ok sklearn.neighbors.tests.test_neighbors.test_k_and_radius_neighbors_duplicates ... ok sklearn.neighbors.tests.test_neighbors.test_include_self_neighbors_graph ... ok sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('ball_tree',) ... ok sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('brute',) ... ok sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('kd_tree',) ... ok sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('auto',) ... ok sklearn.neighbors.tests.test_neighbors.test_dtype_convert ... ok sklearn.neighbors.tests.test_quad_tree.test_quadtree_boundary_computation ... ok sklearn.neighbors.tests.test_quad_tree.test_quadtree_similar_point ... ok sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(0,) ... ok sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(1,) ... ok sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(2,) ... ok sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(0,) ... ok sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(1,) ... ok sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(2,) ... ok sklearn.neighbors.tests.test_quad_tree.test_qt_insert_duplicate(2,) ... ok sklearn.neighbors.tests.test_quad_tree.test_qt_insert_duplicate(3,) ... ok sklearn.neighbors.tests.test_quad_tree.test_summarize ... ok sklearn.neural_network.tests.test_mlp.test_alpha ... ok sklearn.neural_network.tests.test_mlp.test_fit ... ok sklearn.neural_network.tests.test_mlp.test_gradient ... ok sklearn.neural_network.tests.test_mlp.test_lbfgs_classification ... ok sklearn.neural_network.tests.test_mlp.test_lbfgs_regression ... ok sklearn.neural_network.tests.test_mlp.test_learning_rate_warmstart ... ok sklearn.neural_network.tests.test_mlp.test_warm_start ... ok sklearn.neural_network.tests.test_mlp.test_multilabel_classification ... ok sklearn.neural_network.tests.test_mlp.test_multioutput_regression ... ok sklearn.neural_network.tests.test_mlp.test_partial_fit_classes_error ... ok sklearn.neural_network.tests.test_mlp.test_partial_fit_classification ... ok sklearn.neural_network.tests.test_mlp.test_partial_fit_unseen_classes ... ok sklearn.neural_network.tests.test_mlp.test_partial_fit_regression ... ok sklearn.neural_network.tests.test_mlp.test_partial_fit_errors ... ok sklearn.neural_network.tests.test_mlp.test_params_errors ... ok sklearn.neural_network.tests.test_mlp.test_predict_proba_binary ... ok sklearn.neural_network.tests.test_mlp.test_predict_proba_multiclass ... ok sklearn.neural_network.tests.test_mlp.test_predict_proba_multilabel ... ok sklearn.neural_network.tests.test_mlp.test_sparse_matrices ... ok sklearn.neural_network.tests.test_mlp.test_tolerance ... ok sklearn.neural_network.tests.test_mlp.test_verbose_sgd ... ok sklearn.neural_network.tests.test_mlp.test_early_stopping ... ok sklearn.neural_network.tests.test_mlp.test_adaptive_learning_rate ... ok sklearn.neural_network.tests.test_rbm.test_fit ... ok sklearn.neural_network.tests.test_rbm.test_partial_fit ... ok sklearn.neural_network.tests.test_rbm.test_transform ... ok sklearn.neural_network.tests.test_rbm.test_small_sparse ... ok sklearn.neural_network.tests.test_rbm.test_small_sparse_partial_fit ... ok sklearn.neural_network.tests.test_rbm.test_sample_hiddens ... ok sklearn.neural_network.tests.test_rbm.test_fit_gibbs ... ok sklearn.neural_network.tests.test_rbm.test_fit_gibbs_sparse ... ok sklearn.neural_network.tests.test_rbm.test_gibbs_smoke ... ok sklearn.neural_network.tests.test_rbm.test_score_samples ... ok sklearn.neural_network.tests.test_rbm.test_rbm_verbose ... ok sklearn.neural_network.tests.test_rbm.test_sparse_and_verbose ... ok sklearn.neural_network.tests.test_stochastic_optimizers.test_base_optimizer ... ok sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_no_momentum ... ok sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_momentum ... ok sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_trigger_stopping ... ok sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_nesterovs_momentum ... ok sklearn.neural_network.tests.test_stochastic_optimizers.test_adam_optimizer ... ok sklearn.preprocessing.tests.test_data.test_polynomial_features ... ok sklearn.preprocessing.tests.test_data.test_polynomial_feature_names ... ok sklearn.preprocessing.tests.test_data.test_standard_scaler_1d ... ok sklearn.preprocessing.tests.test_data.test_scale_1d ... ok sklearn.preprocessing.tests.test_data.test_scaler_2d_arrays ... ok sklearn.preprocessing.tests.test_data.test_handle_zeros_in_scale ... ok sklearn.preprocessing.tests.test_data.test_minmax_scaler_partial_fit ... ok sklearn.preprocessing.tests.test_data.test_standard_scaler_partial_fit ... ok sklearn.preprocessing.tests.test_data.test_standard_scaler_partial_fit_numerical_stability ... ok sklearn.preprocessing.tests.test_data.test_partial_fit_sparse_input ... ok sklearn.preprocessing.tests.test_data.test_standard_scaler_trasform_with_partial_fit ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/test_data.py:484: RuntimeWarning: underflow encountered in nextafter epsilon = np.nextafter(0, 1) ok sklearn.preprocessing.tests.test_data.test_min_max_scaler_iris ... ok sklearn.preprocessing.tests.test_data.test_min_max_scaler_zero_variance_features ... ok sklearn.preprocessing.tests.test_data.test_minmax_scale_axis1 ... ok sklearn.preprocessing.tests.test_data.test_min_max_scaler_1d ... ok sklearn.preprocessing.tests.test_data.test_scaler_without_centering ... ok sklearn.preprocessing.tests.test_data.test_standard_scaler_numerical_stability ... ok sklearn.preprocessing.tests.test_data.test_scaler_int ... ok sklearn.preprocessing.tests.test_data.test_scaler_without_copy ... ok sklearn.preprocessing.tests.test_data.test_scale_sparse_with_mean_raise_exception ... ok sklearn.preprocessing.tests.test_data.test_scale_input_finiteness_validation ... ok sklearn.preprocessing.tests.test_data.test_robust_scaler_2d_arrays ... ok sklearn.preprocessing.tests.test_data.test_robust_scaler_transform_one_row_csr ... ok sklearn.preprocessing.tests.test_data.test_robust_scaler_iris ... ok sklearn.preprocessing.tests.test_data.test_robust_scaler_iris_quantiles ... ok sklearn.preprocessing.tests.test_data.test_quantile_transform_iris ... ok sklearn.preprocessing.tests.test_data.test_quantile_transform_check_error ... ok sklearn.preprocessing.tests.test_data.test_quantile_transform_sparse_ignore_zeros ... ok sklearn.preprocessing.tests.test_data.test_quantile_transform_dense_toy ... ok sklearn.preprocessing.tests.test_data.test_quantile_transform_subsampling ... ok sklearn.preprocessing.tests.test_data.test_quantile_transform_sparse_toy ... ok sklearn.preprocessing.tests.test_data.test_quantile_transform_axis1 ... ok sklearn.preprocessing.tests.test_data.test_quantile_transform_bounds ... ok sklearn.preprocessing.tests.test_data.test_quantile_transform_and_inverse ... ok sklearn.preprocessing.tests.test_data.test_robust_scaler_invalid_range ... ok sklearn.preprocessing.tests.test_data.test_scale_function_without_centering ... ok sklearn.preprocessing.tests.test_data.test_robust_scale_axis1 ... ok sklearn.preprocessing.tests.test_data.test_robust_scaler_zero_variance_features ... ok sklearn.preprocessing.tests.test_data.test_maxabs_scaler_zero_variance_features ... ok sklearn.preprocessing.tests.test_data.test_maxabs_scaler_large_negative_value ... ok sklearn.preprocessing.tests.test_data.test_maxabs_scaler_transform_one_row_csr ... ok sklearn.preprocessing.tests.test_data.test_warning_scaling_integers ... ok sklearn.preprocessing.tests.test_data.test_maxabs_scaler_1d ... ok sklearn.preprocessing.tests.test_data.test_maxabs_scaler_partial_fit ... ok sklearn.preprocessing.tests.test_data.test_normalizer_l1 ... ok sklearn.preprocessing.tests.test_data.test_normalizer_l2 ... ok sklearn.preprocessing.tests.test_data.test_normalizer_max ... ok sklearn.preprocessing.tests.test_data.test_normalize ... ok sklearn.preprocessing.tests.test_data.test_binarizer ... ok sklearn.preprocessing.tests.test_data.test_center_kernel ... ok sklearn.preprocessing.tests.test_data.test_cv_pipeline_precomputed ... ok sklearn.preprocessing.tests.test_data.test_fit_transform ... ok sklearn.preprocessing.tests.test_data.test_add_dummy_feature ... ok sklearn.preprocessing.tests.test_data.test_add_dummy_feature_coo ... ok sklearn.preprocessing.tests.test_data.test_add_dummy_feature_csc ... ok sklearn.preprocessing.tests.test_data.test_add_dummy_feature_csr ... ok sklearn.preprocessing.tests.test_data.test_one_hot_encoder_sparse ... ok sklearn.preprocessing.tests.test_data.test_one_hot_encoder_dense ... ok sklearn.preprocessing.tests.test_data.test_transform_selected ... ok sklearn.preprocessing.tests.test_data.test_transform_selected_copy_arg ... ok sklearn.preprocessing.tests.test_data.test_one_hot_encoder_categorical_features ... ok sklearn.preprocessing.tests.test_data.test_one_hot_encoder_unknown_transform ... ok sklearn.preprocessing.tests.test_data.test_fit_cold_start ... ok sklearn.preprocessing.tests.test_data.test_quantile_transform_valid_axis ... ok sklearn.preprocessing.tests.test_function_transformer.test_delegate_to_func ... ok sklearn.preprocessing.tests.test_function_transformer.test_np_log ... ok sklearn.preprocessing.tests.test_function_transformer.test_kw_arg ... ok sklearn.preprocessing.tests.test_function_transformer.test_kw_arg_update ... ok sklearn.preprocessing.tests.test_function_transformer.test_kw_arg_reset ... ok sklearn.preprocessing.tests.test_function_transformer.test_inverse_transform ... ok sklearn.preprocessing.tests.test_imputation.test_imputation_shape ... ok sklearn.preprocessing.tests.test_imputation.test_imputation_mean_median_only_zero ... /usr/lib/python2.7/dist-packages/numpy/lib/function_base.py:4016: RuntimeWarning: Invalid value encountered in median for 1 results r = func(a, **kwargs) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsefuncs.py:421: RuntimeWarning: invalid value encountered in less n_negative = np.count_nonzero(data < 0) ok sklearn.preprocessing.tests.test_imputation.test_imputation_mean_median ... /usr/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2909: RuntimeWarning: Mean of empty slice. out=out, **kwargs) /usr/lib/python2.7/dist-packages/numpy/core/_methods.py:80: RuntimeWarning: invalid value encountered in double_scalars ret = ret.dtype.type(ret / rcount) ok sklearn.preprocessing.tests.test_imputation.test_imputation_median_special_cases ... ok sklearn.preprocessing.tests.test_imputation.test_imputation_most_frequent ... ok sklearn.preprocessing.tests.test_imputation.test_imputation_pipeline_grid_search ... ok sklearn.preprocessing.tests.test_imputation.test_imputation_pickle ... ok sklearn.preprocessing.tests.test_imputation.test_imputation_copy ... ok sklearn.preprocessing.tests.test_label.test_label_binarizer ... ok sklearn.preprocessing.tests.test_label.test_label_binarizer_unseen_labels ... ok sklearn.preprocessing.tests.test_label.test_label_binarizer_set_label_encoding ... ok sklearn.preprocessing.tests.test_label.test_label_encoder ... ok sklearn.preprocessing.tests.test_label.test_label_encoder_fit_transform ... ok sklearn.preprocessing.tests.test_label.test_label_encoder_errors ... ok sklearn.preprocessing.tests.test_label.test_sparse_output_multilabel_binarizer ... ok sklearn.preprocessing.tests.test_label.test_multilabel_binarizer ... ok sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_empty_sample ... ok sklearn.preprocessing.tests.test_label.test_label_binarizer_errors ... ok sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_unknown_class ... ok sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_given_classes ... ok sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_same_length_sequence ... ok sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_non_integer_labels ... ok sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_non_unique ... ok sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_inverse_validation ... ok sklearn.preprocessing.tests.test_label.test_label_binarize_with_class_order ... ok sklearn.preprocessing.tests.test_label.test_label_binarize_binary([0, 1, 0], [0, 1], 2, -1, array([[-1], ... ok sklearn.preprocessing.tests.test_label.test_label_binarize_binary([0, 1, 0], [0, 1], 3, 0, array([[0], ... ok sklearn.preprocessing.tests.test_label.test_label_binarize_multiclass([0, 1, 2], [0, 1, 2], 2, 0, array([[ 2., 0., 0.], ... ok sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(array([[0, 1, 0], ... ok sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '' ... ok sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '' ... ok sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '' ... ok sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '' ... ok sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '' ... ok sklearn.preprocessing.tests.test_label.test_invalid_input_label_binarize ... ok sklearn.preprocessing.tests.test_label.test_inverse_binarize_multiclass ... ok sklearn.semi_supervised.tests.test_label_propagation.test_fit_transduction ... ok sklearn.semi_supervised.tests.test_label_propagation.test_distribution ... ok sklearn.semi_supervised.tests.test_label_propagation.test_predict ... ok sklearn.semi_supervised.tests.test_label_propagation.test_predict_proba ... ok sklearn.semi_supervised.tests.test_label_propagation.test_alpha_deprecation ... ok sklearn.semi_supervised.tests.test_label_propagation.test_label_spreading_closed_form ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place ok sklearn.semi_supervised.tests.test_label_propagation.test_label_propagation_closed_form ... ok sklearn.semi_supervised.tests.test_label_propagation.test_valid_alpha ... ok sklearn.semi_supervised.tests.test_label_propagation.test_convergence_speed ... ok sklearn.semi_supervised.tests.test_label_propagation.test_convergence_warning ... ok Test l1_min_c loss='squared_hinge' dense multi-class no-intercept ... ok Test l1_min_c loss='squared_hinge' dense multi-class fit-intercept ... ok Test l1_min_c loss='squared_hinge' dense two-classes no-intercept ... ok Test l1_min_c loss='squared_hinge' dense two-classes fit-intercept ... ok Test l1_min_c loss='squared_hinge' sparse multi-class no-intercept ... ok Test l1_min_c loss='squared_hinge' sparse multi-class fit-intercept ... ok Test l1_min_c loss='squared_hinge' sparse two-classes no-intercept ... ok Test l1_min_c loss='squared_hinge' sparse two-classes fit-intercept ... ok Test l1_min_c loss='log' dense multi-class no-intercept ... ok Test l1_min_c loss='log' dense multi-class fit-intercept ... ok Test l1_min_c loss='log' dense two-classes no-intercept ... ok Test l1_min_c loss='log' dense two-classes fit-intercept ... ok Test l1_min_c loss='log' sparse multi-class no-intercept ... ok Test l1_min_c loss='log' sparse multi-class fit-intercept ... ok Test l1_min_c loss='log' sparse two-classes no-intercept ... ok Test l1_min_c loss='log' sparse two-classes fit-intercept ... ok sklearn.svm.tests.test_bounds.test_ill_posed_min_c ... ok sklearn.svm.tests.test_bounds.test_unsupported_loss ... ok Check that sparse SVC gives the same result as SVC ... ok sklearn.svm.tests.test_sparse.test_unsorted_indices ... ok sklearn.svm.tests.test_sparse.test_svc_with_custom_kernel ... ok sklearn.svm.tests.test_sparse.test_svc_iris ... ok sklearn.svm.tests.test_sparse.test_sparse_decision_function ... ok sklearn.svm.tests.test_sparse.test_error ... ok sklearn.svm.tests.test_sparse.test_linearsvc ... ok sklearn.svm.tests.test_sparse.test_linearsvc_iris ... ok sklearn.svm.tests.test_sparse.test_weight ... ok sklearn.svm.tests.test_sparse.test_sample_weights ... ok sklearn.svm.tests.test_sparse.test_sparse_liblinear_intercept_handling ... ok Check that sparse OneClassSVM gives the same result as dense OneClassSVM ... ok sklearn.svm.tests.test_sparse.test_sparse_realdata ... ok sklearn.svm.tests.test_sparse.test_sparse_svc_clone_with_callable_kernel ... ok sklearn.svm.tests.test_sparse.test_timeout ... ok sklearn.svm.tests.test_sparse.test_consistent_proba ... ok sklearn.svm.tests.test_svm.test_libsvm_parameters ... ok sklearn.svm.tests.test_svm.test_libsvm_iris ... ok sklearn.svm.tests.test_svm.test_precomputed ... ok sklearn.svm.tests.test_svm.test_svr ... ok sklearn.svm.tests.test_svm.test_linearsvr ... ok sklearn.svm.tests.test_svm.test_linearsvr_fit_sampleweight ... ok sklearn.svm.tests.test_svm.test_svr_errors ... ok sklearn.svm.tests.test_svm.test_oneclass ... ok sklearn.svm.tests.test_svm.test_oneclass_decision_function ... ok sklearn.svm.tests.test_svm.test_tweak_params ... ok sklearn.svm.tests.test_svm.test_consistent_proba ... ok sklearn.svm.tests.test_svm.test_probability ... ok sklearn.svm.tests.test_svm.test_decision_function ... ok sklearn.svm.tests.test_svm.test_decision_function_shape ... ok sklearn.svm.tests.test_svm.test_svr_predict ... ok sklearn.svm.tests.test_svm.test_weight ... ok sklearn.svm.tests.test_svm.test_sample_weights ... ok sklearn.svm.tests.test_svm.test_auto_weight ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/classification.py:1135: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples. 'precision', 'predicted', average, warn_for) ok sklearn.svm.tests.test_svm.test_bad_input ... ok sklearn.svm.tests.test_svm.test_unicode_kernel ... ok sklearn.svm.tests.test_svm.test_sparse_precomputed ... ok sklearn.svm.tests.test_svm.test_linearsvc_parameters ... ok sklearn.svm.tests.test_svm.test_linearsvx_loss_penalty_deprecations ... ok sklearn.svm.tests.test_svm.test_linear_svx_uppercase_loss_penality_raises_error ... ok sklearn.svm.tests.test_svm.test_linearsvc ... ok sklearn.svm.tests.test_svm.test_linearsvc_crammer_singer ... ok sklearn.svm.tests.test_svm.test_linearsvc_fit_sampleweight ... ok sklearn.svm.tests.test_svm.test_crammer_singer_binary ... ok sklearn.svm.tests.test_svm.test_linearsvc_iris ... ok sklearn.svm.tests.test_svm.test_dense_liblinear_intercept_handling ... ok sklearn.svm.tests.test_svm.test_liblinear_set_coef ... ok sklearn.svm.tests.test_svm.test_immutable_coef_property ... ok sklearn.svm.tests.test_svm.test_linearsvc_verbose ... ok sklearn.svm.tests.test_svm.test_svc_clone_with_callable_kernel ... ok sklearn.svm.tests.test_svm.test_svc_bad_kernel ... ok sklearn.svm.tests.test_svm.test_timeout ... ok sklearn.svm.tests.test_svm.test_unfitted ... ok sklearn.svm.tests.test_svm.test_linear_svc_convergence_warnings ... optimization finished, #iter = 2 WARNING: reaching max number of iterations Using -s 2 may be faster (also see FAQ) Objective value = -0.183884 nSV = 3 ok sklearn.svm.tests.test_svm.test_svr_coef_sign ... ok sklearn.svm.tests.test_svm.test_linear_svc_intercept_scaling ... ok sklearn.svm.tests.test_svm.test_lsvc_intercept_scaling_zero ... ok sklearn.svm.tests.test_svm.test_hasattr_predict_proba ... ok sklearn.svm.tests.test_svm.test_decision_function_shape_two_class ... ok sklearn.svm.tests.test_svm.test_ovr_decision_function ... ok sklearn.tree.tests.test_export.test_graphviz_toy ... ok sklearn.tree.tests.test_export.test_graphviz_errors ... ok sklearn.tree.tests.test_export.test_friedman_mse_in_graphviz ... ok sklearn.tree.tests.test_export.test_precision ... ok sklearn.tree.tests.test_tree.test_classification_toy ... ok sklearn.tree.tests.test_tree.test_weighted_classification_toy ... ok sklearn.tree.tests.test_tree.test_regression_toy ... ok sklearn.tree.tests.test_tree.test_xor ... ok sklearn.tree.tests.test_tree.test_iris ... ok sklearn.tree.tests.test_tree.test_boston ... ok sklearn.tree.tests.test_tree.test_1d_input ... ok sklearn.tree.tests.test_tree.test_probability ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:864: RuntimeWarning: divide by zero encountered in log return np.log(proba) ok sklearn.tree.tests.test_tree.test_arrayrepr ... ok sklearn.tree.tests.test_tree.test_pure_set ... ok sklearn.tree.tests.test_tree.test_numerical_stability ... ok sklearn.tree.tests.test_tree.test_importances ... ok sklearn.tree.tests.test_tree.test_importances_raises ... ok sklearn.tree.tests.test_tree.test_importances_gini_equal_mse ... ok sklearn.tree.tests.test_tree.test_max_features ... ok sklearn.tree.tests.test_tree.test_error ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:282: DeprecationWarning: The min_impurity_split parameter is deprecated and will be removed in version 0.21. Use the min_impurity_decrease parameter instead. DeprecationWarning) ok Test min_samples_split parameter ... ok sklearn.tree.tests.test_tree.test_min_samples_leaf ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('Presort-DecisionTreeRegressor', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeRegressor', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeRegressor', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeClassifier', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('Presort-DecisionTreeClassifier', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeClassifier', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeClassifier', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeRegressor', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeClassifier', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeRegressor', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('Presort-DecisionTreeRegressor', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('ExtraTreeRegressor', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('DecisionTreeRegressor', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('ExtraTreeClassifier', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('Presort-DecisionTreeClassifier', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('DecisionTreeClassifier', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('DecisionTreeClassifier', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('DecisionTreeRegressor', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('ExtraTreeClassifier', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('ExtraTreeRegressor', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_impurity_split ... ok sklearn.tree.tests.test_tree.test_min_impurity_decrease ... ok sklearn.tree.tests.test_tree.test_multioutput ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:868: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) ok sklearn.tree.tests.test_tree.test_classes_shape ... ok sklearn.tree.tests.test_tree.test_unbalanced_iris ... ok sklearn.tree.tests.test_tree.test_memory_layout ... ok sklearn.tree.tests.test_tree.test_sample_weight ... ok sklearn.tree.tests.test_tree.test_sample_weight_invalid ... ok sklearn.tree.tests.test_tree.test_class_weights('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_class_weights('Presort-DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_class_weights('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_class_weight_errors('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_class_weight_errors('Presort-DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_class_weight_errors('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_max_leaf_nodes ... ok sklearn.tree.tests.test_tree.test_max_leaf_nodes_max_depth ... ok sklearn.tree.tests.test_tree.test_arrays_persist ... ok sklearn.tree.tests.test_tree.test_only_constant_features ... ok sklearn.tree.tests.test_tree.test_behaviour_constant_feature_after_splits ... ok sklearn.tree.tests.test_tree.test_with_only_one_non_constant_features ... ok sklearn.tree.tests.test_tree.test_big_input ... ok sklearn.tree.tests.test_tree.test_realloc ... ok sklearn.tree.tests.test_tree.test_huge_allocations ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'clf_small', None) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:864: RuntimeWarning: divide by zero encountered in log return np.log(proba) ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'toy', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'digits', 3) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'multilabel', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-pos', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-neg', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-mix', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'zeros', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'clf_small', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'toy', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'digits', 3) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'multilabel', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-pos', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-neg', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-mix', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'zeros', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'clf_small', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'toy', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'digits', 3) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'multilabel', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-pos', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-neg', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-mix', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'zeros', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'clf_small', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'toy', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'digits', 3) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'multilabel', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-pos', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-neg', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-mix', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'zeros', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'boston', 2) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'reg_small', 2) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'boston', 2) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'reg_small', 2) ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'zeros') ... ok sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('ExtraTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('Presort-DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('ExtraTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('Presort-DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('Presort-DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('Presort-DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok sklearn.tree.tests.test_tree.test_decision_path_hardcoded ... ok sklearn.tree.tests.test_tree.test_decision_path('Presort-DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_decision_path('ExtraTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_decision_path('DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_decision_path('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_decision_path('Presort-DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_decision_path('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_no_sparse_y_support('Presort-DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_no_sparse_y_support('ExtraTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_no_sparse_y_support('DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_no_sparse_y_support('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_no_sparse_y_support('Presort-DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_no_sparse_y_support('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_mae ... ok sklearn.tree.tests.test_tree.test_criterion_copy ... ok sklearn.utils.tests.test_bench.test_total_seconds ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight_not_present ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight_dict ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight_invariance ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight_balanced_negative ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight_balanced_unordered ... ok sklearn.utils.tests.test_class_weight.test_compute_sample_weight ... ok sklearn.utils.tests.test_class_weight.test_compute_sample_weight_with_subsample ... ok sklearn.utils.tests.test_class_weight.test_compute_sample_weight_errors ... ok sklearn.utils.tests.test_deprecation.test_deprecated ... ok sklearn.utils.tests.test_deprecation.test_is_deprecated ... SKIP: This test will run only on python3.5 and above sklearn.utils.tests.test_deprecation.test_pickle ... ok sklearn.utils.tests.test_deprecation.test_deprecationdict ... ok sklearn.utils.tests.test_estimator_checks.test_check_estimator ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn(message, SkipTestWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn(message, SkipTestWarning) ok sklearn.utils.tests.test_estimator_checks.test_check_estimator_clones ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn(message, SkipTestWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn(message, SkipTestWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn(message, SkipTestWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn(message, SkipTestWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn(message, SkipTestWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn(message, SkipTestWarning) ok sklearn.utils.tests.test_estimator_checks.test_check_estimators_unfitted ... ok sklearn.utils.tests.test_estimator_checks.test_check_no_fit_attributes_set_in_init ... ok sklearn.utils.tests.test_extmath.test_density ... ok sklearn.utils.tests.test_extmath.test_uniform_weights ... ok sklearn.utils.tests.test_extmath.test_random_weights ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_all_dtypes(,) ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_all_dtypes(,) ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_all_dtypes(,) ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_all_dtypes(,) ... ok sklearn.utils.tests.test_extmath.test_row_norms ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_with_noise ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_infinite_rank ... ok sklearn.utils.tests.test_extmath.test_logsumexp ... ok sklearn.utils.tests.test_extmath.test_norm_squared_norm ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_transpose_consistency ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_power_iteration_normalizer ... ok sklearn.utils.tests.test_extmath.test_svd_flip ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_sign_flip ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_sign_flip_with_transpose ... ok sklearn.utils.tests.test_extmath.test_cartesian ... ok sklearn.utils.tests.test_extmath.test_logistic_sigmoid ... ok sklearn.utils.tests.test_extmath.test_incremental_variance_update_formulas ... ok sklearn.utils.tests.test_extmath.test_incremental_variance_ddof ... ok sklearn.utils.tests.test_extmath.test_vector_sign_flip ... ok sklearn.utils.tests.test_extmath.test_softmax ... ok sklearn.utils.tests.test_extmath.test_stable_cumsum ... ok sklearn.utils.tests.test_extmath.test_incremental_variance_numerical_stability ... ok sklearn.utils.tests.test_fast_dict.test_int_float_dict ... ok sklearn.utils.tests.test_fast_dict.test_int_float_dict_argmin ... ok sklearn.utils.tests.test_fixes.test_divide ... ok sklearn.utils.tests.test_fixes.test_masked_array_obj_dtype_pickleable ... ok sklearn.utils.tests.test_graph.test_graph_laplacian ... ok sklearn.utils.tests.test_linear_assignment.test_hungarian ... ok sklearn.utils.tests.test_metaestimators.test_delegated_docstring ... ok sklearn.utils.tests.test_metaestimators.test_if_delegate_has_method ... ok sklearn.utils.tests.test_multiclass.test_unique_labels ... ok sklearn.utils.tests.test_multiclass.test_unique_labels_non_specific ... ok sklearn.utils.tests.test_multiclass.test_unique_labels_mixed_types ... ok sklearn.utils.tests.test_multiclass.test_is_multilabel ... ok sklearn.utils.tests.test_multiclass.test_check_classification_targets ... ok sklearn.utils.tests.test_multiclass.test_type_of_target ... SKIP: Pandas not found sklearn.utils.tests.test_multiclass.test_class_distribution ... ok sklearn.utils.tests.test_multiclass.test_safe_split_with_precomputed_kernel ... ok sklearn.utils.tests.test_murmurhash.test_mmhash3_int ... ok sklearn.utils.tests.test_murmurhash.test_mmhash3_int_array ... ok sklearn.utils.tests.test_murmurhash.test_mmhash3_bytes ... ok sklearn.utils.tests.test_murmurhash.test_mmhash3_unicode ... ok sklearn.utils.tests.test_murmurhash.test_no_collision_on_byte_range ... ok sklearn.utils.tests.test_murmurhash.test_uniform_distribution ... ok sklearn.utils.tests.test_optimize.test_newton_cg ... ok sklearn.utils.tests.test_random.test_invalid_sample_without_replacement_algorithm ... ok sklearn.utils.tests.test_random.test_sample_without_replacement_algorithms ... ok sklearn.utils.tests.test_random.test_random_choice_csc ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/random.py:191: RuntimeWarning: invalid value encountered in true_divide np.sum(class_probability_nz)) ok sklearn.utils.tests.test_random.test_random_choice_csc_errors ... ok sklearn.utils.tests.test_seq_dataset.test_seq_dataset ... ok sklearn.utils.tests.test_seq_dataset.test_seq_dataset_shuffle ... ok sklearn.utils.tests.test_shortest_path.test_floyd_warshall ... ok sklearn.utils.tests.test_shortest_path.test_dijkstra ... ok sklearn.utils.tests.test_shortest_path.test_shortest_path ... ok sklearn.utils.tests.test_shortest_path.test_dijkstra_bug_fix ... ok sklearn.utils.tests.test_sparsefuncs.test_mean_variance_axis0 ... ok sklearn.utils.tests.test_sparsefuncs.test_mean_variance_axis1 ... ok sklearn.utils.tests.test_sparsefuncs.test_incr_mean_variance_axis ... ok sklearn.utils.tests.test_sparsefuncs.test_mean_variance_illegal_axis ... ok sklearn.utils.tests.test_sparsefuncs.test_densify_rows ... ok sklearn.utils.tests.test_sparsefuncs.test_inplace_column_scale ... ok sklearn.utils.tests.test_sparsefuncs.test_inplace_row_scale ... ok sklearn.utils.tests.test_sparsefuncs.test_inplace_swap_row ... ok sklearn.utils.tests.test_sparsefuncs.test_inplace_swap_column ... ok sklearn.utils.tests.test_sparsefuncs.test_min_max_axis0 ... ok sklearn.utils.tests.test_sparsefuncs.test_min_max_axis1 ... ok sklearn.utils.tests.test_sparsefuncs.test_min_max_axis_errors ... ok sklearn.utils.tests.test_sparsefuncs.test_count_nonzero ... ok sklearn.utils.tests.test_sparsefuncs.test_csc_row_median ... ok sklearn.utils.tests.test_sparsefuncs.test_inplace_normalize ... ok sklearn.utils.tests.test_stats.test_cases ... ok test_warn (sklearn.utils.tests.test_testing.TestWarns) ... ok test_warn_wrong_warning (sklearn.utils.tests.test_testing.TestWarns) ... ok sklearn.utils.tests.test_testing.test_assert_less ... ok sklearn.utils.tests.test_testing.test_assert_greater ... ok sklearn.utils.tests.test_testing.test_assert_less_equal ... ok sklearn.utils.tests.test_testing.test_assert_greater_equal ... ok sklearn.utils.tests.test_testing.test_set_random_state ... ok sklearn.utils.tests.test_testing.test_assert_allclose_dense_sparse ... ok sklearn.utils.tests.test_testing.test_assert_raise_message ... ok sklearn.utils.tests.test_testing.test_ignore_warning ... ok sklearn.utils.tests.test_testing.test_check_docstring_parameters ... SKIP: numpydoc is required to test the docstrings sklearn.utils.tests.test_utils.test_make_rng ... ok sklearn.utils.tests.test_utils.test_deprecated ... ok sklearn.utils.tests.test_utils.test_resample ... ok sklearn.utils.tests.test_utils.test_safe_mask ... ok sklearn.utils.tests.test_utils.test_column_or_1d ... ok sklearn.utils.tests.test_utils.test_safe_indexing ... ok sklearn.utils.tests.test_utils.test_safe_indexing_pandas ... SKIP: Pandas not found sklearn.utils.tests.test_utils.test_safe_indexing_mock_pandas ... ok sklearn.utils.tests.test_utils.test_shuffle_on_ndim_equals_three ... ok sklearn.utils.tests.test_utils.test_shuffle_dont_convert_to_array ... ok sklearn.utils.tests.test_utils.test_gen_even_slices ... ok sklearn.utils.tests.test_utils.test_arpack_eigsh_initialization ... ok sklearn.utils.tests.test_utils.test_pinvh_nonpositive ... ok sklearn.utils.tests.test_utils.test_pinvh_simple_complex ... ok sklearn.utils.tests.test_utils.test_pinvh_simple_real ... ok sklearn.utils.tests.test_validation.test_as_float_array ... ok sklearn.utils.tests.test_validation.test_np_matrix ... ok sklearn.utils.tests.test_validation.test_memmap ... ok sklearn.utils.tests.test_validation.test_ordering ... ok sklearn.utils.tests.test_validation.test_check_array_pandas_dtype_object_conversion ... ok sklearn.utils.tests.test_validation.test_check_array_on_mock_dataframe ... ok sklearn.utils.tests.test_validation.test_check_array_dtype_stability ... ok sklearn.utils.tests.test_validation.test_check_array_dtype_warning ... ok sklearn.utils.tests.test_validation.test_check_array ... ok sklearn.utils.tests.test_validation.test_check_array_accept_sparse_type_exception ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:393: DeprecationWarning: Passing 'None' to parameter 'accept_sparse' in methods check_array and check_X_y is deprecated in version 0.19 and will be removed in 0.21. Use 'accept_sparse=False' instead. " instead.", DeprecationWarning) ok sklearn.utils.tests.test_validation.test_check_array_accept_sparse_no_exception ... ok sklearn.utils.tests.test_validation.test_check_array_min_samples_and_features_messages ... ok sklearn.utils.tests.test_validation.test_has_fit_parameter ... ok sklearn.utils.tests.test_validation.test_check_symmetric ... ok sklearn.utils.tests.test_validation.test_check_is_fitted ... ok sklearn.utils.tests.test_validation.test_check_consistent_length ... ok sklearn.utils.tests.test_validation.test_check_dataframe_fit_attribute ... SKIP: Pandas not found sklearn.utils.tests.test_validation.test_suppress_validation ... ok sklearn.utils.tests.test_validation.test_check_memory ... ok sklearn.tests.test_base.test_clone ... ok sklearn.tests.test_base.test_clone_2 ... ok sklearn.tests.test_base.test_clone_buggy ... ok sklearn.tests.test_base.test_clone_empty_array ... ok sklearn.tests.test_base.test_clone_nan ... ok sklearn.tests.test_base.test_clone_copy_init_params ... ok sklearn.tests.test_base.test_clone_sparse_matrices ... ok sklearn.tests.test_base.test_repr ... ok sklearn.tests.test_base.test_str ... ok sklearn.tests.test_base.test_get_params ... ok sklearn.tests.test_base.test_get_params_deprecated ... ok sklearn.tests.test_base.test_is_classifier ... ok sklearn.tests.test_base.test_set_params ... ok sklearn.tests.test_base.test_set_params_passes_all_parameters ... ok sklearn.tests.test_base.test_score_sample_weight ... ok sklearn.tests.test_base.test_pickling_works_when_getstate_is_overwritten_in_the_child_class ... ok sklearn.tests.test_base.test_clone_pandas_dataframe ... ok sklearn.tests.test_base.test_pickle_version_warning_is_not_raised_with_matching_version ... ok sklearn.tests.test_base.test_pickle_version_warning_is_issued_upon_different_version ... ok sklearn.tests.test_base.test_pickle_version_warning_is_issued_when_no_version_info_in_pickle ... ok sklearn.tests.test_base.test_pickle_version_no_warning_is_issued_with_non_sklearn_estimator ... ok sklearn.tests.test_base.test_pickling_when_getstate_is_overwritten_by_mixin ... ok sklearn.tests.test_base.test_pickling_when_getstate_is_overwritten_by_mixin_outside_of_sklearn ... ok sklearn.tests.test_calibration.test_sample_weight ... ok Test calibration for multiclass ... ok Test calibration for prefitted classifiers ... ok Test calibration values with Platt sigmoid model ... ok Check calibration_curve function ... ok Test that calibration can accept nan ... ok sklearn.tests.test_calibration.test_calibration_prob_sum ... ok Test calibration objects with isotonic and sigmoid ... ok sklearn.tests.test_calibration.test_calibration_less_classes ... ok sklearn.tests.test_check_build.test_raise_build_error ... ok sklearn.tests.test_common.test_all_estimator_no_base_class ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ClassifierChain) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(FastICA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LSHForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiOutputClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiOutputRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Nystroem) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OneVsOneClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OneVsRestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OutputCodeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RFE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RFECV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SpectralBiclustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SpectralCoclustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_BaseRidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_BinaryGaussianProcessClassifierLaplace) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_ConstantPredictor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_DPGMMBase) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_GMMBase) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_RidgeGCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(AdaBoostClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(AdaBoostRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(AffinityPropagation) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/affinity_propagation_.py:105: RuntimeWarning: underflow encountered in multiply random_state.randn(n_samples, n_samples)) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BaggingClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BaggingRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BernoulliNB) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(BernoulliNB) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) - ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Binarizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Birch) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (1) by Birch is less than (3). Decrease the threshold. % (len(centroids), self.n_clusters)) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (1) by Birch is less than (3). Decrease the threshold. % (len(centroids), self.n_clusters)) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(Birch) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold. % (len(centroids), self.n_clusters)) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(Birch) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold. % (len(centroids), self.n_clusters)) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Birch) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(CCA) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(CCA) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(CCA) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(CCA) ... SKIP /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(CCA) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(CCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(CalibratedClassifierCV) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(DBSCAN) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class DPGMM is deprecated; The `DPGMM` class is not working correctly and it's better to use `sklearn.mixture.BayesianGaussianMixture` class with parameter `weight_concentration_prior_type='dirichlet_process'` instead. DPGMM is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(DPGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(DecisionTreeClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(DecisionTreeRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ElasticNet) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ElasticNet) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ElasticNet) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ElasticNetCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ElasticNetCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ElasticNetCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ElasticNetCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ElasticNetCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ElasticNetCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ElasticNetCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ExtraTreeClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ExtraTreeRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ExtraTreesClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ExtraTreesRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(FactorAnalysis) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/factor_analysis.py:228: ConvergenceWarning: FactorAnalysis did not converge. You might want to increase the number of iterations. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(FactorAnalysis) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/factor_analysis.py:228: ConvergenceWarning: FactorAnalysis did not converge. You might want to increase the number of iterations. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(FastICA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(FastICA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(FastICA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(FastICA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(FastICA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(FastICA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(FastICA) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(FastICA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(FastICA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(FastICA) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(FastICA) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(FastICA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(FastICA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(FastICA) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(FastICA) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(FastICA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(FastICA) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(FastICA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(FastICA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(FastICA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(FastICA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(FastICA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(FastICA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(FastICA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(FastICA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class GMM is deprecated; The class GMM is deprecated in 0.18 and will be removed in 0.20. Use class GaussianMixture instead. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianNB) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class GaussianProcess is deprecated; GaussianProcess was deprecated in version 0.18 and will be removed in 0.20. Use the GaussianProcessRegressor instead. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GradientBoostingClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GradientBoostingRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GraphLasso) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py:252: ConvergenceWarning: graph_lasso: did not converge after 5 iteration: dual gap: 2.346e+00 ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GraphLassoCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py:252: ConvergenceWarning: graph_lasso: did not converge after 5 iteration: dual gap: -5.139e-04 ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(HuberRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Imputer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(IsolationForest) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Isomap) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KernelRidge) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/approximate.py:220: DeprecationWarning: LSHForest has poor performance and has been deprecated in 0.19. It will be removed in version 0.21. DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LSHForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LSHForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LSHForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LSHForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LSHForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LSHForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LSHForest) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (4 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LSHForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LSHForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LSHForest) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (3 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (3 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LSHForest) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (2 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LSHForest) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LSHForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LSHForest) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (3 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LSHForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LSHForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LSHForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LSHForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LSHForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LSHForest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LSHForest) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (3 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LabelPropagation) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LabelPropagation) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:402: RuntimeWarning: underflow encountered in divide affinity_matrix /= normalizer[:, np.newaxis] ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LabelPropagation) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:402: RuntimeWarning: underflow encountered in divide affinity_matrix /= normalizer[:, np.newaxis] /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:277: RuntimeWarning: underflow encountered in divide self.label_distributions_ /= normalizer ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LabelSpreading) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LabelSpreading) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence. category=ConvergenceWarning /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence. category=ConvergenceWarning ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LabelSpreading) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place /usr/lib/python2.7/dist-packages/scipy/sparse/csgraph/_laplacian.py:121: RuntimeWarning: underflow encountered in true_divide m /= w ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LabelSpreading) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence. category=ConvergenceWarning ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LabelSpreading) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place /usr/lib/python2.7/dist-packages/scipy/sparse/csgraph/_laplacian.py:121: RuntimeWarning: underflow encountered in true_divide m /= w /usr/lib/python2.7/dist-packages/scipy/sparse/csgraph/_laplacian.py:122: RuntimeWarning: underflow encountered in true_divide m /= w[:, np.newaxis] /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:284: RuntimeWarning: underflow encountered in multiply alpha, self.label_distributions_) + y_static /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence. category=ConvergenceWarning ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LabelSpreading) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence. category=ConvergenceWarning ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LabelSpreading) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence. category=ConvergenceWarning ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Lars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Lasso) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(Lasso) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(Lasso) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Lasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LassoCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LassoCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LassoCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LassoCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LassoCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LassoCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LassoCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LassoCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LassoLars) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LinearDiscriminantAnalysis) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py:402: RuntimeWarning: invalid value encountered in divide S**2))[:self._max_components] ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LinearRegression) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LinearSVC) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LinearSVR) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LocalOutlierFactor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (20) is greater than the total number of samples (9). n_neighbors will be set to (n_samples - 1) for estimation. % (self.n_neighbors, n_samples)) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LocalOutlierFactor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (20) is greater than the total number of samples (10). n_neighbors will be set to (n_samples - 1) for estimation. % (self.n_neighbors, n_samples)) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (20) is greater than the total number of samples (10). n_neighbors will be set to (n_samples - 1) for estimation. % (self.n_neighbors, n_samples)) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LocalOutlierFactor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (20) is greater than the total number of samples (9). n_neighbors will be set to (n_samples - 1) for estimation. % (self.n_neighbors, n_samples)) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LogisticRegression) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LogisticRegressionCV) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MDS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MLPClassifier) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MLPClassifier) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MLPClassifier) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MLPClassifier) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(MLPClassifier) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(MLPClassifier) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(MLPClassifier) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MLPClassifier) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MLPClassifier) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MLPClassifier) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MLPClassifier) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MLPRegressor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MLPRegressor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MLPRegressor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MLPRegressor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MLPRegressor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MLPRegressor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MLPRegressor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MLPRegressor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MeanShift) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultiTaskElasticNet) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MultiTaskElasticNet) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MultiTaskElasticNet) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultiTaskElasticNetCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MultiTaskElasticNetCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MultiTaskElasticNetCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MultiTaskElasticNetCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MultiTaskElasticNetCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultiTaskLasso) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MultiTaskLasso) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MultiTaskLasso) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultiTaskLassoCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultiTaskLassoCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MultiTaskLassoCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MultiTaskLassoCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MultiTaskLassoCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MultiTaskLassoCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MultinomialNB) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(MultinomialNB) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) - ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(NMF) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Normalizer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(NuSVC) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(NuSVC) ... SKIP /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(NuSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(NuSVR) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(NuSVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Nystroem) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Nystroem) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Nystroem) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Nystroem) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Nystroem) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Nystroem) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Nystroem) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Nystroem) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Nystroem) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Nystroem) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Nystroem) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Nystroem) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Nystroem) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(Nystroem) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(Nystroem) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(Nystroem) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(Nystroem) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Nystroem) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Nystroem) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Nystroem) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Nystroem) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Nystroem) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Nystroem) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Nystroem) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Nystroem) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(OAS) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(OneClassSVM) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PLSCanonical) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PLSCanonical) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PLSCanonical) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(PLSCanonical) ... SKIP /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(PLSCanonical) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(PLSRegression) ... SKIP /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Perceptron) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(QuadraticDiscriminantAnalysis) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py:682: UserWarning: Variables are collinear warnings.warn("Variables are collinear") ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(QuadraticDiscriminantAnalysis) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py:682: UserWarning: Variables are collinear warnings.warn("Variables are collinear") ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RANSACRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RandomForestClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RandomForestRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLasso is deprecated; The class RandomizedLasso is deprecated in 0.19 and will be removed in 0.21. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLogisticRegression is deprecated; The class RandomizedLogisticRegression is deprecated in 0.19 and will be removed in 0.21. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedPCA is deprecated; RandomizedPCA was deprecated in 0.18 and will be removed in 0.20. Use PCA(svd_solver='randomized') instead. The new implementation DOES NOT store whiten ``components_``. Apply transform to get them. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Ridge) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Ridge) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RidgeCV) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RidgeClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RidgeClassifierCV) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SGDClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SGDRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SVC) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SVR) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SVR) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SpectralEmbedding) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected. warnings.warn("Graph is not fully connected, spectral embedding" ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SpectralEmbedding) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected. warnings.warn("Graph is not fully connected, spectral embedding" /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected. warnings.warn("Graph is not fully connected, spectral embedding" ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SpectralEmbedding) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected. warnings.warn("Graph is not fully connected, spectral embedding" ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SpectralEmbedding) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected. warnings.warn("Graph is not fully connected, spectral embedding" ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SpectralEmbedding) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected. warnings.warn("Graph is not fully connected, spectral embedding" ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(TSNE) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(TheilSenRegressor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(TheilSenRegressor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(TheilSenRegressor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(TheilSenRegressor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(TheilSenRegressor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(TheilSenRegressor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(TheilSenRegressor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(TheilSenRegressor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(TheilSenRegressor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(TheilSenRegressor) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class VBGMM is deprecated; The `VBGMM` class is not working correctly and it's better to use `sklearn.mixture.BayesianGaussianMixture` class with parameter `weight_concentration_prior_type='dirichlet_distribution'` instead. VBGMM is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(VBGMM) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(VarianceThreshold) ... ok sklearn.tests.test_common.test_configure ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(LogisticRegressionCV) ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_split.py:605: Warning: The least populated class in y has only 2 members, which is too few. The minimum number of members in any class cannot be less than n_splits=3. % (min_groups, self.n_splits)), Warning) ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(Perceptron) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(SGDClassifier) ... ok sklearn.tests.test_common.test_root_import_all_completeness ... ok sklearn.tests.test_common.test_all_tests_are_importable ... ok sklearn.tests.test_common.test_import_all_consistency ... ok sklearn.tests.test_config.test_config_context ... ok sklearn.tests.test_config.test_config_context_exception ... ok sklearn.tests.test_config.test_set_config ... ok sklearn.tests.test_cross_validation.test_kfold_valueerrors ... ok sklearn.tests.test_cross_validation.test_kfold_indices ... ok sklearn.tests.test_cross_validation.test_kfold_no_shuffle ... ok sklearn.tests.test_cross_validation.test_stratified_kfold_no_shuffle ... ok sklearn.tests.test_cross_validation.test_stratified_kfold_ratios ... ok sklearn.tests.test_cross_validation.test_kfold_balance ... ok sklearn.tests.test_cross_validation.test_cross_val_generator_with_default_indices ... ok sklearn.tests.test_cross_validation.test_stratifiedkfold_balance ... ok sklearn.tests.test_cross_validation.test_shuffle_kfold ... ok sklearn.tests.test_cross_validation.test_shuffle_stratifiedkfold ... ok sklearn.tests.test_cross_validation.test_kfold_can_detect_dependent_samples_on_digits ... ok sklearn.tests.test_cross_validation.test_label_kfold ... ok sklearn.tests.test_cross_validation.test_shuffle_split ... ok sklearn.tests.test_cross_validation.test_stratified_shuffle_split_init ... ok sklearn.tests.test_cross_validation.test_stratified_shuffle_split_iter ... ok sklearn.tests.test_cross_validation.test_stratified_shuffle_split_even ... ok sklearn.tests.test_cross_validation.test_stratified_shuffle_split_overlap_train_test_bug ... ok sklearn.tests.test_cross_validation.test_predefinedsplit_with_kfold_split ... ok sklearn.tests.test_cross_validation.test_label_shuffle_split ... ok sklearn.tests.test_cross_validation.test_leave_label_out_changing_labels ... ok sklearn.tests.test_cross_validation.test_cross_val_score ... ok sklearn.tests.test_cross_validation.test_cross_val_score_pandas ... ok sklearn.tests.test_cross_validation.test_cross_val_score_mask ... ok sklearn.tests.test_cross_validation.test_cross_val_score_precomputed ... ok sklearn.tests.test_cross_validation.test_cross_val_score_fit_params ... ok sklearn.tests.test_cross_validation.test_cross_val_score_score_func ... ok sklearn.tests.test_cross_validation.test_cross_val_score_errors ... ok sklearn.tests.test_cross_validation.test_train_test_split_errors ... ok sklearn.tests.test_cross_validation.test_train_test_split ... ok sklearn.tests.test_cross_validation.train_test_split_pandas ... ok sklearn.tests.test_cross_validation.train_test_split_mock_pandas ... ok sklearn.tests.test_cross_validation.test_cross_val_score_with_score_func_classification ... ok sklearn.tests.test_cross_validation.test_cross_val_score_with_score_func_regression ... ok sklearn.tests.test_cross_validation.test_permutation_score ... ok sklearn.tests.test_cross_validation.test_cross_val_generator_with_indices ... ok sklearn.tests.test_cross_validation.test_shufflesplit_errors ... ok sklearn.tests.test_cross_validation.test_shufflesplit_reproducible ... ok sklearn.tests.test_cross_validation.test_safe_split_with_precomputed_kernel ... ok sklearn.tests.test_cross_validation.test_cross_val_score_allow_nans ... ok sklearn.tests.test_cross_validation.test_train_test_split_allow_nans ... ok sklearn.tests.test_cross_validation.test_permutation_test_score_allow_nans ... ok sklearn.tests.test_cross_validation.test_check_cv_return_types ... ok sklearn.tests.test_cross_validation.test_cross_val_score_multilabel ... ok sklearn.tests.test_cross_validation.test_cross_val_predict ... ok sklearn.tests.test_cross_validation.test_cross_val_predict_input_types ... ok sklearn.tests.test_cross_validation.test_cross_val_predict_pandas ... ok sklearn.tests.test_cross_validation.test_sparse_fit_params ... ok sklearn.tests.test_cross_validation.test_check_is_partition ... ok sklearn.tests.test_cross_validation.test_cross_val_predict_sparse_prediction ... ok sklearn.tests.test_discriminant_analysis.test_lda_predict ... ok sklearn.tests.test_discriminant_analysis.test_lda_priors ... ok sklearn.tests.test_discriminant_analysis.test_lda_coefs ... ok sklearn.tests.test_discriminant_analysis.test_lda_transform ... ok sklearn.tests.test_discriminant_analysis.test_lda_explained_variance_ratio ... ok sklearn.tests.test_discriminant_analysis.test_lda_orthogonality ... ok sklearn.tests.test_discriminant_analysis.test_lda_scaling ... ok sklearn.tests.test_discriminant_analysis.test_lda_store_covariance ... ok sklearn.tests.test_discriminant_analysis.test_qda ... ok sklearn.tests.test_discriminant_analysis.test_qda_priors ... ok sklearn.tests.test_discriminant_analysis.test_qda_store_covariance ... ok sklearn.tests.test_discriminant_analysis.test_qda_deprecation ... ok sklearn.tests.test_discriminant_analysis.test_qda_regularization ... ok sklearn.tests.test_discriminant_analysis.test_covariance ... ok sklearn.tests.test_docstring_parameters.test_docstring_parameters ... SKIP: Not testing docstring parameter consistency sklearn.tests.test_docstring_parameters.test_tabs ... ok sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy ... ok sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy_multioutput ... ok sklearn.tests.test_dummy.test_stratified_strategy ... ok sklearn.tests.test_dummy.test_stratified_strategy_multioutput ... ok sklearn.tests.test_dummy.test_uniform_strategy ... ok sklearn.tests.test_dummy.test_uniform_strategy_multioutput ... ok sklearn.tests.test_dummy.test_string_labels ... ok sklearn.tests.test_dummy.test_classifier_exceptions ... ok sklearn.tests.test_dummy.test_mean_strategy_regressor ... ok sklearn.tests.test_dummy.test_mean_strategy_multioutput_regressor ... ok sklearn.tests.test_dummy.test_regressor_exceptions ... ok sklearn.tests.test_dummy.test_median_strategy_regressor ... ok sklearn.tests.test_dummy.test_median_strategy_multioutput_regressor ... ok sklearn.tests.test_dummy.test_quantile_strategy_regressor ... ok sklearn.tests.test_dummy.test_quantile_strategy_multioutput_regressor ... ok sklearn.tests.test_dummy.test_quantile_invalid ... ok sklearn.tests.test_dummy.test_quantile_strategy_empty_train ... ok sklearn.tests.test_dummy.test_constant_strategy_regressor ... ok sklearn.tests.test_dummy.test_constant_strategy_multioutput_regressor ... ok sklearn.tests.test_dummy.test_y_mean_attribute_regressor ... ok sklearn.tests.test_dummy.test_unknown_strategey_regressor ... ok sklearn.tests.test_dummy.test_constants_not_specified_regressor ... ok sklearn.tests.test_dummy.test_constant_size_multioutput_regressor ... ok sklearn.tests.test_dummy.test_constant_strategy ... ok sklearn.tests.test_dummy.test_constant_strategy_multioutput ... ok sklearn.tests.test_dummy.test_constant_strategy_exceptions ... ok sklearn.tests.test_dummy.test_classification_sample_weight ... ok sklearn.tests.test_dummy.test_constant_strategy_sparse_target ... ok sklearn.tests.test_dummy.test_uniform_strategy_sparse_target_warning ... ok sklearn.tests.test_dummy.test_stratified_strategy_sparse_target ... ok sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy_sparse_target ... ok sklearn.tests.test_dummy.test_dummy_regressor_sample_weight ... ok sklearn.tests.test_dummy.test_dummy_classifier_on_nan_value ... ok sklearn.tests.test_dummy.test_dummy_regressor_on_nan_value ... ok sklearn.tests.test_grid_search.test_parameter_grid ... ok sklearn.tests.test_grid_search.test_grid_search ... [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s [Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s [Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished ok sklearn.tests.test_grid_search.test_transform_inverse_transform_round_trip ... [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s [Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s [Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished ok sklearn.tests.test_grid_search.test_grid_search_score_method ... ok sklearn.tests.test_grid_search.test_trivial_grid_scores ... ok sklearn.tests.test_grid_search.test_no_refit ... ok sklearn.tests.test_grid_search.test_grid_search_error ... ok sklearn.tests.test_grid_search.test_grid_search_iid ... ok sklearn.tests.test_grid_search.test_grid_search_no_score ... ok sklearn.tests.test_grid_search.test_refit ... ok sklearn.tests.test_grid_search.test_grid_search_one_grid_point ... ok sklearn.tests.test_grid_search.test_grid_search_bad_param_grid ... ok sklearn.tests.test_grid_search.test_grid_search_sparse ... ok sklearn.tests.test_grid_search.test_grid_search_sparse_scoring ... ok sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel ... ok sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel_error_nonsquare ... ok sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel_error_kernel_function ... ok sklearn.tests.test_grid_search.test_gridsearch_nd ... ok sklearn.tests.test_grid_search.test_X_as_list ... ok sklearn.tests.test_grid_search.test_y_as_list ... ok sklearn.tests.test_grid_search.test_pandas_input ... ok sklearn.tests.test_grid_search.test_unsupervised_grid_search ... ok sklearn.tests.test_grid_search.test_gridsearch_no_predict ... ok sklearn.tests.test_grid_search.test_param_sampler ... ok sklearn.tests.test_grid_search.test_randomized_search_grid_scores ... ok sklearn.tests.test_grid_search.test_grid_search_score_consistency ... ok sklearn.tests.test_grid_search.test_pickle ... ok sklearn.tests.test_grid_search.test_grid_search_with_multioutput_data ... ok sklearn.tests.test_grid_search.test_predict_proba_disabled ... ok sklearn.tests.test_grid_search.test_grid_search_allows_nans ... ok sklearn.tests.test_grid_search.test_grid_search_failing_classifier ... ok sklearn.tests.test_grid_search.test_grid_search_failing_classifier_raise ... ok sklearn.tests.test_grid_search.test_parameters_sampler_replacement ... ok sklearn.tests.test_grid_search.test_classes__property ... ok sklearn.tests.test_init.test_import_skl ... ok sklearn.tests.test_isotonic.test_permutation_invariance ... ok sklearn.tests.test_isotonic.test_check_increasing_small_number_of_samples ... ok sklearn.tests.test_isotonic.test_check_increasing_up ... ok sklearn.tests.test_isotonic.test_check_increasing_up_extreme ... ok sklearn.tests.test_isotonic.test_check_increasing_down ... ok sklearn.tests.test_isotonic.test_check_increasing_down_extreme ... ok sklearn.tests.test_isotonic.test_check_ci_warn ... ok sklearn.tests.test_isotonic.test_isotonic_regression ... ok sklearn.tests.test_isotonic.test_isotonic_regression_ties_min ... ok sklearn.tests.test_isotonic.test_isotonic_regression_ties_max ... ok Test isotonic regression fit, transform and fit_transform ... ok sklearn.tests.test_isotonic.test_isotonic_regression_reversed ... ok sklearn.tests.test_isotonic.test_isotonic_regression_auto_decreasing ... ok sklearn.tests.test_isotonic.test_isotonic_regression_auto_increasing ... ok sklearn.tests.test_isotonic.test_assert_raises_exceptions ... ok sklearn.tests.test_isotonic.test_isotonic_sample_weight_parameter_default_value ... ok sklearn.tests.test_isotonic.test_isotonic_min_max_boundaries ... ok sklearn.tests.test_isotonic.test_isotonic_sample_weight ... ok sklearn.tests.test_isotonic.test_isotonic_regression_oob_raise ... ok sklearn.tests.test_isotonic.test_isotonic_regression_oob_clip ... ok sklearn.tests.test_isotonic.test_isotonic_regression_oob_nan ... ok sklearn.tests.test_isotonic.test_isotonic_regression_oob_bad ... ok sklearn.tests.test_isotonic.test_isotonic_regression_oob_bad_after ... ok sklearn.tests.test_isotonic.test_isotonic_regression_pickle ... ok sklearn.tests.test_isotonic.test_isotonic_duplicate_min_entry ... ok sklearn.tests.test_isotonic.test_isotonic_ymin_ymax ... ok sklearn.tests.test_isotonic.test_isotonic_zero_weight_loop ... ok sklearn.tests.test_isotonic.test_fast_predict ... ok sklearn.tests.test_isotonic.test_isotonic_copy_before_fit ... ok sklearn.tests.test_kernel_approximation.test_additive_chi2_sampler ... ok sklearn.tests.test_kernel_approximation.test_skewed_chi2_sampler ... ok sklearn.tests.test_kernel_approximation.test_rbf_sampler ... ok sklearn.tests.test_kernel_approximation.test_input_validation ... ok sklearn.tests.test_kernel_approximation.test_nystroem_approximation ... ok sklearn.tests.test_kernel_approximation.test_nystroem_default_parameters ... ok sklearn.tests.test_kernel_approximation.test_nystroem_singular_kernel ... ok sklearn.tests.test_kernel_approximation.test_nystroem_poly_kernel_params ... ok sklearn.tests.test_kernel_approximation.test_nystroem_callable ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_csr ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_csc ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_singular_kernel ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_precomputed ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_precomputed_kernel_unchanged ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_sample_weights ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_multi_output ... ok sklearn.tests.test_learning_curve.test_learning_curve ... ok sklearn.tests.test_learning_curve.test_learning_curve_unsupervised ... ok sklearn.tests.test_learning_curve.test_learning_curve_verbose ... [Parallel(n_jobs=1)]: Done 15 out of 15 | elapsed: 0.0s finished ok sklearn.tests.test_learning_curve.test_learning_curve_error_score ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_validation.py:1686: FitFailedWarning: Classifier fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: ValueError() "Details: \n%r" % (error_score, e), FitFailedWarning) ok sklearn.tests.test_learning_curve.test_learning_curve_error_score_default_raise ... ok sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning_not_possible ... ok sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning ... ok sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning_unsupervised ... ok sklearn.tests.test_learning_curve.test_learning_curve_batch_and_incremental_learning_are_equal ... ok sklearn.tests.test_learning_curve.test_learning_curve_n_sample_range_out_of_bounds ... ok sklearn.tests.test_learning_curve.test_learning_curve_remove_duplicate_sample_sizes ... ok sklearn.tests.test_learning_curve.test_learning_curve_with_boolean_indices ... ok sklearn.tests.test_learning_curve.test_validation_curve ... ok sklearn.tests.test_learning_curve.test_validation_curve_clone_estimator ... ok sklearn.tests.test_metaestimators.test_metaestimator_delegation ... ok sklearn.tests.test_multiclass.test_ovr_exceptions ... ok sklearn.tests.test_multiclass.test_check_classification_targets ... ok sklearn.tests.test_multiclass.test_ovr_fit_predict ... ok sklearn.tests.test_multiclass.test_ovr_partial_fit ... ok sklearn.tests.test_multiclass.test_ovr_partial_fit_exceptions ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) - ok sklearn.tests.test_multiclass.test_ovr_ovo_regressor ... ok sklearn.tests.test_multiclass.test_ovr_fit_predict_sparse ... ok sklearn.tests.test_multiclass.test_ovr_always_present ... ok sklearn.tests.test_multiclass.test_ovr_multiclass ... ok sklearn.tests.test_multiclass.test_ovr_binary ... ok sklearn.tests.test_multiclass.test_ovr_multilabel ... ok sklearn.tests.test_multiclass.test_ovr_fit_predict_svc ... ok sklearn.tests.test_multiclass.test_ovr_multilabel_dataset ... ok sklearn.tests.test_multiclass.test_ovr_multilabel_predict_proba ... ok sklearn.tests.test_multiclass.test_ovr_single_label_predict_proba ... ok sklearn.tests.test_multiclass.test_ovr_multilabel_decision_function ... ok sklearn.tests.test_multiclass.test_ovr_single_label_decision_function ... ok sklearn.tests.test_multiclass.test_ovr_gridsearch ... ok sklearn.tests.test_multiclass.test_ovr_pipeline ... ok sklearn.tests.test_multiclass.test_ovr_coef_ ... ok sklearn.tests.test_multiclass.test_ovr_coef_exceptions ... ok sklearn.tests.test_multiclass.test_ovo_exceptions ... ok sklearn.tests.test_multiclass.test_ovo_fit_on_list ... ok sklearn.tests.test_multiclass.test_ovo_fit_predict ... ok sklearn.tests.test_multiclass.test_ovo_partial_fit_predict ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) - ok sklearn.tests.test_multiclass.test_ovo_decision_function ... ok sklearn.tests.test_multiclass.test_ovo_gridsearch ... ok sklearn.tests.test_multiclass.test_ovo_ties ... ok sklearn.tests.test_multiclass.test_ovo_ties2 ... ok sklearn.tests.test_multiclass.test_ovo_string_y ... ok sklearn.tests.test_multiclass.test_ovo_one_class ... ok sklearn.tests.test_multiclass.test_ovo_float_y ... ok sklearn.tests.test_multiclass.test_ecoc_exceptions ... ok sklearn.tests.test_multiclass.test_ecoc_fit_predict ... ok sklearn.tests.test_multiclass.test_ecoc_gridsearch ... ok sklearn.tests.test_multiclass.test_ecoc_float_y ... ok sklearn.tests.test_multiclass.test_pairwise_indices ... ok sklearn.tests.test_multiclass.test_pairwise_attribute ... ok sklearn.tests.test_multiclass.test_pairwise_cross_val_score ... ok sklearn.tests.test_multioutput.test_multi_target_regression ... ok sklearn.tests.test_multioutput.test_multi_target_regression_partial_fit ... ok sklearn.tests.test_multioutput.test_multi_target_regression_one_target ... ok sklearn.tests.test_multioutput.test_multi_target_sparse_regression ... /<>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:304: UserWarning: Can't check dok sparse matrix for nan or inf. % spmatrix.format) ok sklearn.tests.test_multioutput.test_multi_target_sample_weights_api ... ok sklearn.tests.test_multioutput.test_multi_target_sample_weight_partial_fit ... ok sklearn.tests.test_multioutput.test_multi_target_sample_weights ... ok sklearn.tests.test_multioutput.test_multi_output_classification_partial_fit_parallelism ... ok sklearn.tests.test_multioutput.test_multi_output_classification_partial_fit ... ok sklearn.tests.test_multioutput.test_mutli_output_classifiation_partial_fit_no_first_classes_exception ... ok sklearn.tests.test_multioutput.test_multi_output_classification ... ok sklearn.tests.test_multioutput.test_multiclass_multioutput_estimator ... ok sklearn.tests.test_multioutput.test_multiclass_multioutput_estimator_predict_proba ... ok sklearn.tests.test_multioutput.test_multi_output_classification_sample_weights ... ok sklearn.tests.test_multioutput.test_multi_output_classification_partial_fit_sample_weights ... ok sklearn.tests.test_multioutput.test_multi_output_exceptions ... ok sklearn.tests.test_multioutput.test_classifier_chain_fit_and_predict_with_logistic_regression ... ok sklearn.tests.test_multioutput.test_classifier_chain_fit_and_predict_with_linear_svc ... ok sklearn.tests.test_multioutput.test_classifier_chain_fit_and_predict_with_sparse_data ... ok sklearn.tests.test_multioutput.test_classifier_chain_fit_and_predict_with_sparse_data_and_cv ... ok sklearn.tests.test_multioutput.test_classifier_chain_random_order ... ok sklearn.tests.test_multioutput.test_classifier_chain_crossval_fit_and_predict ... ok sklearn.tests.test_multioutput.test_classifier_chain_vs_independent_models ... ok sklearn.tests.test_naive_bayes.test_gnb ... ok sklearn.tests.test_naive_bayes.test_gnb_prior ... ok Test whether sample weights are properly used in GNB. ... ok Test whether an error is raised in case of negative priors ... ok Test whether the class prior override is properly used ... ok Test whether an error is raised if the number of prior is different ... ok Test if an error is raised if the sum of prior greater than one ... ok Test if good prediction when class prior favor largely one class ... ok Test when the partial fit is called without any data ... ok Test whether an error is raised when the number of feature changes ... ok sklearn.tests.test_naive_bayes.test_discrete_prior ... ok sklearn.tests.test_naive_bayes.test_mnnb ... ok sklearn.tests.test_naive_bayes.test_discretenb_partial_fit(,) ... ok sklearn.tests.test_naive_bayes.test_discretenb_partial_fit(,) ... ok sklearn.tests.test_naive_bayes.test_gnb_partial_fit ... ok sklearn.tests.test_naive_bayes.test_discretenb_pickle ... ok sklearn.tests.test_naive_bayes.test_input_check_fit ... ok sklearn.tests.test_naive_bayes.test_input_check_partial_fit ... ok sklearn.tests.test_naive_bayes.test_discretenb_predict_proba ... ok sklearn.tests.test_naive_bayes.test_discretenb_uniform_prior ... ok sklearn.tests.test_naive_bayes.test_discretenb_provide_prior ... ok sklearn.tests.test_naive_bayes.test_discretenb_provide_prior_with_partial_fit ... ok sklearn.tests.test_naive_bayes.test_sample_weight_multiclass(,) ... ok sklearn.tests.test_naive_bayes.test_sample_weight_multiclass(,) ... ok sklearn.tests.test_naive_bayes.test_sample_weight_mnb ... ok sklearn.tests.test_naive_bayes.test_coef_intercept_shape ... ok sklearn.tests.test_naive_bayes.test_check_accuracy_on_digits ... ok sklearn.tests.test_naive_bayes.test_feature_log_prob_bnb ... ok sklearn.tests.test_naive_bayes.test_bnb ... ok sklearn.tests.test_naive_bayes.test_naive_bayes_scale_invariance ... ok sklearn.tests.test_naive_bayes.test_alpha ... ok sklearn.tests.test_pipeline.test_pipeline_init ... ok sklearn.tests.test_pipeline.test_pipeline_init_tuple ... ok sklearn.tests.test_pipeline.test_pipeline_methods_anova ... ok sklearn.tests.test_pipeline.test_pipeline_fit_params ... ok sklearn.tests.test_pipeline.test_pipeline_sample_weight_supported ... ok sklearn.tests.test_pipeline.test_pipeline_sample_weight_unsupported ... ok sklearn.tests.test_pipeline.test_pipeline_raise_set_params_error ... ok sklearn.tests.test_pipeline.test_pipeline_methods_pca_svm ... ok sklearn.tests.test_pipeline.test_pipeline_methods_preprocessing_svm ... ok sklearn.tests.test_pipeline.test_fit_predict_on_pipeline ... ok sklearn.tests.test_pipeline.test_fit_predict_on_pipeline_without_fit_predict ... ok sklearn.tests.test_pipeline.test_fit_predict_with_intermediate_fit_params ... ok sklearn.tests.test_pipeline.test_feature_union ... ok sklearn.tests.test_pipeline.test_make_union ... ok sklearn.tests.test_pipeline.test_make_union_kwargs ... ok sklearn.tests.test_pipeline.test_pipeline_transform ... ok sklearn.tests.test_pipeline.test_pipeline_fit_transform ... ok sklearn.tests.test_pipeline.test_set_pipeline_steps ... ok sklearn.tests.test_pipeline.test_pipeline_named_steps ... ok sklearn.tests.test_pipeline.test_set_pipeline_step_none ... ok sklearn.tests.test_pipeline.test_pipeline_ducktyping ... ok sklearn.tests.test_pipeline.test_make_pipeline ... ok sklearn.tests.test_pipeline.test_feature_union_weights ... ok sklearn.tests.test_pipeline.test_feature_union_parallel ... ok sklearn.tests.test_pipeline.test_feature_union_feature_names ... ok sklearn.tests.test_pipeline.test_classes_property ... ok sklearn.tests.test_pipeline.test_set_feature_union_steps ... ok sklearn.tests.test_pipeline.test_set_feature_union_step_none ... ok sklearn.tests.test_pipeline.test_step_name_validation ... ok sklearn.tests.test_pipeline.test_set_params_nested_pipeline ... ok sklearn.tests.test_pipeline.test_pipeline_wrong_memory ... ok sklearn.tests.test_pipeline.test_pipeline_with_cache_attribute ... ok sklearn.tests.test_pipeline.test_pipeline_memory ... ok sklearn.tests.test_pipeline.test_make_pipeline_memory ... ok sklearn.tests.test_random_projection.test_invalid_jl_domain ... ok sklearn.tests.test_random_projection.test_input_size_jl_min_dim ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix( at 0xffff81bec0c8>,) ... ok sklearn.tests.test_random_projection.test_gaussian_random_matrix ... ok sklearn.tests.test_random_projection.test_sparse_random_matrix ... ok sklearn.tests.test_random_projection.test_sparse_random_projection_transformer_invalid_density ... ok sklearn.tests.test_random_projection.test_random_projection_transformer_invalid_input ... ok sklearn.tests.test_random_projection.test_try_to_transform_before_fit ... ok sklearn.tests.test_random_projection.test_too_many_samples_to_find_a_safe_embedding ... ok sklearn.tests.test_random_projection.test_random_projection_embedding_quality ... ok sklearn.tests.test_random_projection.test_SparseRandomProjection_output_representation ... ok sklearn.tests.test_random_projection.test_correct_RandomProjection_dimensions_embedding ... ok sklearn.tests.test_random_projection.test_warning_n_components_greater_than_n_features ... ok sklearn.tests.test_random_projection.test_works_with_sparse_data ... ok ---------------------------------------------------------------------- Ran 8008 tests in 1739.431s OK (SKIP=62) Failure: ImportError (No module named github_link) ... ERROR Doctest: faq.rst ... ok ====================================================================== ERROR: Failure: ImportError (No module named github_link) ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/nose/loader.py", line 418, in loadTestsFromName addr.filename, addr.module) File "/usr/lib/python2.7/dist-packages/nose/importer.py", line 47, in importFromPath return self.importFromDir(dir_path, fqname) File "/usr/lib/python2.7/dist-packages/nose/importer.py", line 94, in importFromDir mod = load_module(part_fqname, fh, filename, desc) File "/<>/doc/conf.py", line 26, in from github_link import make_linkcode_resolve ImportError: No module named github_link ---------------------------------------------------------------------- Ran 2 tests in 2.853s FAILED (errors=1) : # Run unittests here against installed scikits.learn dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! echo "3.6" | grep -q '^3' && PY=3 || PY=3.6; \ export PYTHONPATH=`/bin/ls -d $PWD/debian/tmp/usr/lib/python$PY/*/`; \ export MPLCONFIGDIR=/<>/build HOME=/<>/build; \ export JOBLIB_MULTIPROCESSING=2; \ cd build/; python3.6 /usr/bin/nosetests -s -v --exclude=test_dump sklearn && \ { python3.6 /usr/bin/nosetests -v --with-doctest --doctest-extension=rst ../doc/ || : ; } # doctests are failing ATM /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/learning_curve.py:22: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the functions are moved. This module will be removed in 0.20 DeprecationWarning) sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation ... ok sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation_predict ... ok sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation_predict_error ... ok sklearn.cluster.tests.test_bicluster.test_get_submatrix ... ok sklearn.cluster.tests.test_bicluster.test_spectral_coclustering ... ok sklearn.cluster.tests.test_bicluster.test_spectral_biclustering ... ok sklearn.cluster.tests.test_bicluster.test_scale_normalize ... ok sklearn.cluster.tests.test_bicluster.test_bistochastic_normalize ... ok sklearn.cluster.tests.test_bicluster.test_log_normalize ... ok sklearn.cluster.tests.test_bicluster.test_fit_best_piecewise ... ok sklearn.cluster.tests.test_bicluster.test_project_and_cluster ... ok sklearn.cluster.tests.test_bicluster.test_perfect_checkerboard ... SKIP: This test is failing on the buildbot, but cannot reproduce. Temporarily disabling it until it can be reproduced and fixed. sklearn.cluster.tests.test_bicluster.test_errors ... ok sklearn.cluster.tests.test_birch.test_n_samples_leaves_roots ... ok sklearn.cluster.tests.test_birch.test_partial_fit ... ok sklearn.cluster.tests.test_birch.test_birch_predict ... ok sklearn.cluster.tests.test_birch.test_n_clusters ... ok sklearn.cluster.tests.test_birch.test_sparse_X ... ok sklearn.cluster.tests.test_birch.test_branching_factor ... ok sklearn.cluster.tests.test_birch.test_threshold ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_similarity ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_feature ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_sparse ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_sparse_precomputed ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_no_core_samples ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_callable ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_metric_params ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/dbscan_.py:141: SyntaxWarning: Parameter p is found in metric_params. The corresponding parameter from __init__ is ignored. n_jobs=n_jobs) ok sklearn.cluster.tests.test_dbscan.test_dbscan_balltree ... ok sklearn.cluster.tests.test_dbscan.test_input_validation ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_badargs ... ok sklearn.cluster.tests.test_dbscan.test_pickle ... ok sklearn.cluster.tests.test_dbscan.test_boundaries ... ok sklearn.cluster.tests.test_dbscan.test_weighted_dbscan ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_core_samples_toy ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_precomputed_metric_with_degenerate_input_arrays ... ok sklearn.cluster.tests.test_dbscan.test_dbscan_precomputed_metric_with_initial_rows_zero ... ok sklearn.cluster.tests.test_hierarchical.test_deprecation_of_n_components_in_linkage_tree ... ok sklearn.cluster.tests.test_hierarchical.test_linkage_misc ... ok sklearn.cluster.tests.test_hierarchical.test_structured_linkage_tree ... ok sklearn.cluster.tests.test_hierarchical.test_unstructured_linkage_tree ... ok sklearn.cluster.tests.test_hierarchical.test_height_linkage_tree ... ok sklearn.cluster.tests.test_hierarchical.test_agglomerative_clustering_wrong_arg_memory ... ok sklearn.cluster.tests.test_hierarchical.test_agglomerative_clustering ... ok sklearn.cluster.tests.test_hierarchical.test_ward_agglomeration ... ok sklearn.cluster.tests.test_hierarchical.test_scikit_vs_scipy ... ok sklearn.cluster.tests.test_hierarchical.test_connectivity_propagation ... ok sklearn.cluster.tests.test_hierarchical.test_ward_tree_children_order ... ok sklearn.cluster.tests.test_hierarchical.test_ward_linkage_tree_return_distance ... ok sklearn.cluster.tests.test_hierarchical.test_connectivity_fixing_non_lil ... ok sklearn.cluster.tests.test_hierarchical.test_int_float_dict ... ok sklearn.cluster.tests.test_hierarchical.test_connectivity_callable ... ok sklearn.cluster.tests.test_hierarchical.test_connectivity_ignores_diagonal ... ok sklearn.cluster.tests.test_hierarchical.test_compute_full_tree ... ok sklearn.cluster.tests.test_hierarchical.test_n_components ... ok sklearn.cluster.tests.test_hierarchical.test_agg_n_clusters ... ok sklearn.cluster.tests.test_hierarchical.test_affinity_passed_to_fix_connectivity ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/hierarchical.py:426: UserWarning: the number of connected components of the connectivity matrix is 2 > 1. Completing it to avoid stopping the tree early. affinity=affinity) ok sklearn.cluster.tests.test_k_means.test_elkan_results ... ok sklearn.cluster.tests.test_k_means.test_labels_assignment_and_inertia ... ok sklearn.cluster.tests.test_k_means.test_minibatch_update_consistency ... ok sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_new_centers ... ok sklearn.cluster.tests.test_k_means.test_k_means_precompute_distances_flag ... ok sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_sparse ... ok sklearn.cluster.tests.test_k_means.test_k_means_random_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_random_init_sparse ... ok sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_not_precomputed ... ok sklearn.cluster.tests.test_k_means.test_k_means_random_init_not_precomputed ... ok sklearn.cluster.tests.test_k_means.test_k_means_perfect_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_n_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_explicit_init_shape ... ok sklearn.cluster.tests.test_k_means.test_k_means_fortran_aligned_data ... ok sklearn.cluster.tests.test_k_means.test_mb_k_means_plus_plus_init_dense_array ... ok sklearn.cluster.tests.test_k_means.test_mb_kmeans_verbose ... ok sklearn.cluster.tests.test_k_means.test_mb_k_means_plus_plus_init_sparse_matrix ... ok sklearn.cluster.tests.test_k_means.test_minibatch_init_with_large_k ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_random_init_dense_array ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_random_init_sparse_csr ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_perfect_init_dense_array ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_init_multiple_runs_with_explicit_centers ... ok sklearn.cluster.tests.test_k_means.test_minibatch_k_means_perfect_init_sparse_csr ... ok sklearn.cluster.tests.test_k_means.test_minibatch_sensible_reassign_fit ... ok sklearn.cluster.tests.test_k_means.test_minibatch_sensible_reassign_partial_fit ... ok sklearn.cluster.tests.test_k_means.test_minibatch_reassign ... ok sklearn.cluster.tests.test_k_means.test_minibatch_with_many_reassignments ... ok sklearn.cluster.tests.test_k_means.test_sparse_mb_k_means_callable_init ... ok sklearn.cluster.tests.test_k_means.test_mini_batch_k_means_random_init_partial_fit ... ok sklearn.cluster.tests.test_k_means.test_minibatch_default_init_size ... ok sklearn.cluster.tests.test_k_means.test_minibatch_tol ... ok sklearn.cluster.tests.test_k_means.test_minibatch_set_init_size ... ok sklearn.cluster.tests.test_k_means.test_k_means_invalid_init ... ok sklearn.cluster.tests.test_k_means.test_mini_match_k_means_invalid_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_copyx ... ok sklearn.cluster.tests.test_k_means.test_k_means_non_collapsed ... ok sklearn.cluster.tests.test_k_means.test_predict ... ok sklearn.cluster.tests.test_k_means.test_score ... ok sklearn.cluster.tests.test_k_means.test_predict_minibatch_dense_input ... ok sklearn.cluster.tests.test_k_means.test_predict_minibatch_kmeanspp_init_sparse_input ... ok sklearn.cluster.tests.test_k_means.test_predict_minibatch_random_init_sparse_input ... ok sklearn.cluster.tests.test_k_means.test_int_input ... ok sklearn.cluster.tests.test_k_means.test_transform ... ok sklearn.cluster.tests.test_k_means.test_fit_transform ... ok sklearn.cluster.tests.test_k_means.test_predict_equal_labels ... ok sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_2_jobs ... I: Seeding RNGs with 1106965298 Converged after 58 iterations. ok sklearn.cluster.tests.test_k_means.test_full_vs_elkan ... ok sklearn.cluster.tests.test_k_means.test_n_init ... ok sklearn.cluster.tests.test_k_means.test_k_means_function ... ok Test that x_squared_norms can be None in _init_centroids ... ok sklearn.cluster.tests.test_k_means.test_max_iter_error ... ok sklearn.cluster.tests.test_k_means.test_float_precision ... ok sklearn.cluster.tests.test_k_means.test_k_means_init_centers ... ok sklearn.cluster.tests.test_k_means.test_sparse_k_means_init_centers ... ok sklearn.cluster.tests.test_k_means.test_sparse_validate_centers ... ok sklearn.cluster.tests.test_mean_shift.test_estimate_bandwidth ... ok sklearn.cluster.tests.test_mean_shift.test_mean_shift ... ok sklearn.cluster.tests.test_mean_shift.test_estimate_bandwidth_with_sparse_matrix ... ok sklearn.cluster.tests.test_mean_shift.test_parallel ... ok sklearn.cluster.tests.test_mean_shift.test_meanshift_predict ... ok sklearn.cluster.tests.test_mean_shift.test_meanshift_all_orphans ... ok sklearn.cluster.tests.test_mean_shift.test_unfitted ... ok sklearn.cluster.tests.test_mean_shift.test_bin_seeds ... ok sklearn.cluster.tests.test_spectral.test_spectral_clustering ... ok sklearn.cluster.tests.test_spectral.test_spectral_amg_mode ... ok sklearn.cluster.tests.test_spectral.test_spectral_unknown_mode ... ok sklearn.cluster.tests.test_spectral.test_spectral_unknown_assign_labels ... ok sklearn.cluster.tests.test_spectral.test_spectral_clustering_sparse ... ok sklearn.cluster.tests.test_spectral.test_affinities ... ok sklearn.cluster.tests.test_spectral.test_discretize ... ok sklearn.covariance.tests.test_covariance.test_covariance ... ok sklearn.covariance.tests.test_covariance.test_shrunk_covariance ... ok sklearn.covariance.tests.test_covariance.test_ledoit_wolf ... ok sklearn.covariance.tests.test_covariance.test_ledoit_wolf_small ... ok sklearn.covariance.tests.test_covariance.test_ledoit_wolf_large ... ok sklearn.covariance.tests.test_covariance.test_oas ... ok sklearn.covariance.tests.test_graph_lasso.test_graph_lasso ... ok sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_iris ... ok sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_iris_singular ... ok sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_cv ... ok sklearn.covariance.tests.test_graph_lasso.test_deprecated_grid_scores ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function grid_scores is deprecated; Attribute grid_scores was deprecated in version 0.19 and will be removed in 0.21. Use ``grid_scores_`` instead warnings.warn(msg, category=DeprecationWarning) ok sklearn.covariance.tests.test_robust_covariance.test_mcd ... ok sklearn.covariance.tests.test_robust_covariance.test_fast_mcd_on_invalid_input ... ok sklearn.covariance.tests.test_robust_covariance.test_mcd_class_on_invalid_input ... ok sklearn.covariance.tests.test_robust_covariance.test_mcd_issue1127 ... ok sklearn.covariance.tests.test_robust_covariance.test_mcd_issue3367 ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/robust_covariance.py:622: UserWarning: The covariance matrix associated to your dataset is not full rank warnings.warn("The covariance matrix associated to your dataset " ok sklearn.covariance.tests.test_robust_covariance.test_outlier_detection ... ok sklearn.cross_decomposition.tests.test_pls.test_pls ... ok sklearn.cross_decomposition.tests.test_pls.test_PLSSVD ... ok sklearn.cross_decomposition.tests.test_pls.test_univariate_pls_regression ... ok sklearn.cross_decomposition.tests.test_pls.test_predict_transform_copy ... ok sklearn.cross_decomposition.tests.test_pls.test_scale_and_stability ... ok sklearn.cross_decomposition.tests.test_pls.test_pls_errors ... ok sklearn.cross_decomposition.tests.test_pls.test_pls_scaling ... ok sklearn.datasets.tests.test_20news.test_20news ... SKIP: Download 20 newsgroups to run this test Checks the length consistencies within the bunch ... SKIP: Download 20 newsgroups to run this test sklearn.datasets.tests.test_20news.test_20news_vectorized ... SKIP: Download 20 newsgroups to run this test sklearn.datasets.tests.test_base.test_data_home ... ok sklearn.datasets.tests.test_base.test_default_empty_load_files ... ok sklearn.datasets.tests.test_base.test_default_load_files ... ok sklearn.datasets.tests.test_base.test_load_files_w_categories_desc_and_encoding ... ok sklearn.datasets.tests.test_base.test_load_files_wo_load_content ... ok sklearn.datasets.tests.test_base.test_load_sample_images ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_base.py:124: UserWarning: Could not load sample images, PIL is not available. warnings.warn("Could not load sample images, PIL is not available.") ok sklearn.datasets.tests.test_base.test_load_digits ... ok sklearn.datasets.tests.test_base.test_load_digits_n_class_lt_10 ... ok sklearn.datasets.tests.test_base.test_load_sample_image ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_base.py:152: UserWarning: Could not load sample images, PIL is not available. warnings.warn("Could not load sample images, PIL is not available.") ok sklearn.datasets.tests.test_base.test_load_missing_sample_image_error ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_base.py:168: UserWarning: Could not load sample images, PIL is not available. warnings.warn("Could not load sample images, PIL is not available.") ok sklearn.datasets.tests.test_base.test_load_diabetes ... ok sklearn.datasets.tests.test_base.test_load_linnerud ... ok sklearn.datasets.tests.test_base.test_load_iris ... ok sklearn.datasets.tests.test_base.test_load_wine ... ok sklearn.datasets.tests.test_base.test_load_breast_cancer ... ok sklearn.datasets.tests.test_base.test_load_boston ... ok sklearn.datasets.tests.test_base.test_loads_dumps_bunch ... ok sklearn.datasets.tests.test_base.test_bunch_pickle_generated_with_0_16_and_read_with_0_17 ... ok sklearn.datasets.tests.test_base.test_bunch_dir ... ok /usr/lib/python3/dist-packages/nose/util.py:453: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() or inspect.getfullargspec() inspect.getargspec(func) sklearn.datasets.tests.test_covtype.test_fetch ... SKIP: Covertype dataset can not be loaded. sklearn.datasets.tests.test_kddcup99.test_percent10 ... SKIP: kddcup99 dataset can not be loaded. SKIP: PIL not installed. sklearn.datasets.tests.test_mldata.test_mldata_filename ... ok Test that fetch_mldata is able to download and cache a data set. ... ok sklearn.datasets.tests.test_mldata.test_fetch_one_column ... ok sklearn.datasets.tests.test_mldata.test_fetch_multiple_column ... ok sklearn.datasets.tests.test_rcv1.test_fetch_rcv1 ... SKIP: Download RCV1 dataset to run this test. sklearn.datasets.tests.test_samples_generator.test_make_classification ... ok Test the construction of informative features in make_classification ... ok sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_sequences ... ok sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_indicator ... ok sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_indicator_sparse ... ok sklearn.datasets.tests.test_samples_generator.test_make_hastie_10_2 ... ok sklearn.datasets.tests.test_samples_generator.test_make_regression ... ok sklearn.datasets.tests.test_samples_generator.test_make_regression_multitarget ... ok sklearn.datasets.tests.test_samples_generator.test_make_blobs ... ok sklearn.datasets.tests.test_samples_generator.test_make_friedman1 ... ok sklearn.datasets.tests.test_samples_generator.test_make_friedman2 ... ok sklearn.datasets.tests.test_samples_generator.test_make_friedman3 ... ok sklearn.datasets.tests.test_samples_generator.test_make_low_rank_matrix ... ok sklearn.datasets.tests.test_samples_generator.test_make_sparse_coded_signal ... ok sklearn.datasets.tests.test_samples_generator.test_make_sparse_uncorrelated ... ok sklearn.datasets.tests.test_samples_generator.test_make_spd_matrix ... ok sklearn.datasets.tests.test_samples_generator.test_make_swiss_roll ... ok sklearn.datasets.tests.test_samples_generator.test_make_s_curve ... ok sklearn.datasets.tests.test_samples_generator.test_make_biclusters ... ok sklearn.datasets.tests.test_samples_generator.test_make_checkerboard ... ok sklearn.datasets.tests.test_samples_generator.test_make_moons ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_fd ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_multilabel ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_files ... ok sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_n_features ... ok sklearn.datasets.tests.test_svmlight_format.test_load_compressed ... ok sklearn.datasets.tests.test_svmlight_format.test_load_invalid_file ... ok sklearn.datasets.tests.test_svmlight_format.test_load_invalid_order_file ... ok sklearn.datasets.tests.test_svmlight_format.test_load_zero_based ... ok sklearn.datasets.tests.test_svmlight_format.test_load_zero_based_auto ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_qid ... ok sklearn.datasets.tests.test_svmlight_format.test_load_invalid_file2 ... ok sklearn.datasets.tests.test_svmlight_format.test_not_a_filename ... ok sklearn.datasets.tests.test_svmlight_format.test_invalid_filename ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_long_qid ... ok sklearn.datasets.tests.test_svmlight_format.test_load_zeros ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 13, 2) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 13, 7) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 13, 41) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 101, 2) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 101, 7) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 101, 41) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 13, 2) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 13, 7) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 13, 41) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 101, 2) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 101, 7) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 101, 41) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 13, 2) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 13, 7) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 13, 41) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 101, 2) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 101, 7) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 101, 41) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 13, 2) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 13, 7) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 13, 41) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 101, 2) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 101, 7) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 101, 41) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 13, 2) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 13, 7) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 13, 41) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 101, 2) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 101, 7) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 101, 41) ... ok sklearn.datasets.tests.test_svmlight_format.test_load_offset_exhaustive_splits ... ok sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets_error ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_shapes_omp ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_shapes ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_overcomplete ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_reconstruction ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_reconstruction_parallel ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_lassocd_readonly_data ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_nonzero_coefs ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_unknown_fit_algorithm ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_split ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_shapes ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_verbosity ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_estimator_shapes ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_overcomplete ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_initialization ... ok sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_partial_fit ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_shapes ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_input ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_error ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_error_default_sparsity ... ok sklearn.decomposition.tests.test_dict_learning.test_unknown_method ... ok sklearn.decomposition.tests.test_dict_learning.test_sparse_coder_estimator ... ok sklearn.decomposition.tests.test_factor_analysis.test_factor_analysis ... ok sklearn.decomposition.tests.test_fastica.test_gs ... ok sklearn.decomposition.tests.test_fastica.test_fastica_simple ... ok sklearn.decomposition.tests.test_fastica.test_fastica_nowhiten ... ok sklearn.decomposition.tests.test_fastica.test_non_square_fastica ... ok sklearn.decomposition.tests.test_fastica.test_fit_transform ... ok sklearn.decomposition.tests.test_fastica.test_inverse_transform ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_check_projection ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_inverse ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_validation ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_set_params ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_num_features_change ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_batch_signs ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_batch_values ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_partial_fit ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_against_pca_iris ... ok sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_against_pca_random_data ... ok sklearn.decomposition.tests.test_incremental_pca.test_explained_variances ... ok sklearn.decomposition.tests.test_incremental_pca.test_singular_values ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/samples_generator.py:1046: RuntimeWarning: underflow encountered in exp np.exp(-1.0 * (singular_ind / effective_rank) ** 2)) ok sklearn.decomposition.tests.test_incremental_pca.test_whitening ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_invalid_parameters ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_consistent_transform ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_sparse ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_linear_kernel ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_n_components ... ok sklearn.decomposition.tests.test_kernel_pca.test_remove_zero_eig ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_precomputed ... ok sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_invalid_kernel ... ok sklearn.decomposition.tests.test_kernel_pca.test_gridsearch_pipeline ... ok sklearn.decomposition.tests.test_kernel_pca.test_gridsearch_pipeline_precomputed ... ok sklearn.decomposition.tests.test_kernel_pca.test_nested_circles ... ok sklearn.decomposition.tests.test_nmf.test_initialize_nn_output ... ok sklearn.decomposition.tests.test_nmf.test_parameter_checking ... ok sklearn.decomposition.tests.test_nmf.test_initialize_close ... ok sklearn.decomposition.tests.test_nmf.test_initialize_variants ... ok sklearn.decomposition.tests.test_nmf.test_nmf_fit_close ... ok sklearn.decomposition.tests.test_nmf.test_nmf_transform ... ok sklearn.decomposition.tests.test_nmf.test_nmf_transform_custom_init ... ok sklearn.decomposition.tests.test_nmf.test_nmf_inverse_transform ... ok sklearn.decomposition.tests.test_nmf.test_n_components_greater_n_features ... ok sklearn.decomposition.tests.test_nmf.test_nmf_sparse_input ... ok sklearn.decomposition.tests.test_nmf.test_nmf_sparse_transform ... ok sklearn.decomposition.tests.test_nmf.test_non_negative_factorization_consistency ... ok sklearn.decomposition.tests.test_nmf.test_non_negative_factorization_checking ... ok sklearn.decomposition.tests.test_nmf.test_beta_divergence ... ok sklearn.decomposition.tests.test_nmf.test_nmf_decreasing ... ok sklearn.decomposition.tests.test_nmf.test_nmf_fit_nn_output ... ok sklearn.decomposition.tests.test_nmf.test_nmf_multiplicative_update_sparse ... ok sklearn.decomposition.tests.test_nmf.test_special_sparse_dot ... ok sklearn.decomposition.tests.test_nmf.test_nmf_negative_beta_loss ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/nmf.py:788: RuntimeWarning: underflow encountered in multiply H *= delta_H /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/nmf.py:165: RuntimeWarning: underflow encountered in multiply dot_vals = np.multiply(W[ii, :], H.T[jj, :]).sum(axis=1) ok sklearn.decomposition.tests.test_nmf.test_nmf_regularization ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/nmf.py:778: RuntimeWarning: underflow encountered in multiply W *= delta_W ok sklearn.decomposition.tests.test_online_lda.test_lda_default_prior_params ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/online_lda.py:536: DeprecationWarning: The default value for 'learning_method' will be changed from 'online' to 'batch' in the release 0.20. This warning was introduced in 0.18. DeprecationWarning) ok sklearn.decomposition.tests.test_online_lda.test_lda_fit_batch ... ok sklearn.decomposition.tests.test_online_lda.test_lda_fit_online ... ok sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit ... ok sklearn.decomposition.tests.test_online_lda.test_lda_dense_input ... ok sklearn.decomposition.tests.test_online_lda.test_lda_transform ... ok sklearn.decomposition.tests.test_online_lda.test_lda_fit_transform ... ok sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit_dim_mismatch ... ok sklearn.decomposition.tests.test_online_lda.test_invalid_params ... ok sklearn.decomposition.tests.test_online_lda.test_lda_negative_input ... ok sklearn.decomposition.tests.test_online_lda.test_lda_no_component_error ... ok sklearn.decomposition.tests.test_online_lda.test_lda_transform_mismatch ... ok sklearn.decomposition.tests.test_online_lda.test_lda_preplexity_mismatch ... ok sklearn.decomposition.tests.test_online_lda.test_lda_perplexity ... ok sklearn.decomposition.tests.test_online_lda.test_lda_score ... ok sklearn.decomposition.tests.test_online_lda.test_perplexity_input_format ... ok sklearn.decomposition.tests.test_online_lda.test_lda_score_perplexity ... ok sklearn.decomposition.tests.test_online_lda.test_lda_fit_perplexity ... ok sklearn.decomposition.tests.test_online_lda.test_doc_topic_distr_deprecation ... ok Test LDA on empty document (all-zero rows). ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/online_lda.py:536: DeprecationWarning: The default value for 'learning_method' will be changed from 'online' to 'batch' in the release 0.20. This warning was introduced in 0.18. DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/online_lda.py:780: RuntimeWarning: divide by zero encountered in double_scalars perword_bound = bound / word_cnt ok Test Cython version of Dirichlet expectation calculation. ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_online_lda.py:375: RuntimeWarning: underflow encountered in exp assert_allclose(expectation, np.exp(psi(x) - psi(np.sum(x))), /usr/lib/python3/dist-packages/numpy/core/numeric.py:2524: RuntimeWarning: underflow encountered in multiply result = less_equal(abs(x-y), atol + rtol * abs(y)) ok sklearn.decomposition.tests.test_online_lda.test_verbosity(False, 1, 0, 0) ... ok sklearn.decomposition.tests.test_online_lda.test_verbosity(False, 0, 0, 0) ... ok sklearn.decomposition.tests.test_online_lda.test_verbosity(True, 0, 3, 0) ... ok sklearn.decomposition.tests.test_online_lda.test_verbosity(True, 1, 3, 3) ... ok sklearn.decomposition.tests.test_online_lda.test_verbosity(True, 2, 3, 1) ... ok sklearn.decomposition.tests.test_online_lda.test_lda_n_topics_deprecation ... ok sklearn.decomposition.tests.test_online_lda.test_lda_multi_jobs ... ok sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit_multi_jobs ... ok sklearn.decomposition.tests.test_pca.test_pca ... ok sklearn.decomposition.tests.test_pca.test_pca_arpack_solver ... ok sklearn.decomposition.tests.test_pca.test_pca_randomized_solver ... ok sklearn.decomposition.tests.test_pca.test_no_empty_slice_warning ... ok sklearn.decomposition.tests.test_pca.test_whitening ... ok sklearn.decomposition.tests.test_pca.test_singular_values ... ok sklearn.decomposition.tests.test_pca.test_explained_variance ... ok sklearn.decomposition.tests.test_pca.test_pca_check_projection ... ok sklearn.decomposition.tests.test_pca.test_pca_inverse ... ok sklearn.decomposition.tests.test_pca.test_pca_validation ... ok sklearn.decomposition.tests.test_pca.test_randomized_pca_check_projection ... ok sklearn.decomposition.tests.test_pca.test_randomized_pca_check_list ... ok sklearn.decomposition.tests.test_pca.test_randomized_pca_inverse ... ok sklearn.decomposition.tests.test_pca.test_pca_dim ... ok sklearn.decomposition.tests.test_pca.test_infer_dim_1 ... ok sklearn.decomposition.tests.test_pca.test_infer_dim_2 ... ok sklearn.decomposition.tests.test_pca.test_infer_dim_3 ... ok sklearn.decomposition.tests.test_pca.test_infer_dim_by_explained_variance ... ok sklearn.decomposition.tests.test_pca.test_pca_score ... ok sklearn.decomposition.tests.test_pca.test_pca_score2 ... ok sklearn.decomposition.tests.test_pca.test_pca_score3 ... ok sklearn.decomposition.tests.test_pca.test_pca_score_with_different_solvers ... ok sklearn.decomposition.tests.test_pca.test_pca_zero_noise_variance_edge_cases ... ok sklearn.decomposition.tests.test_pca.test_svd_solver_auto ... ok sklearn.decomposition.tests.test_pca.test_deprecation_randomized_pca ... ok sklearn.decomposition.tests.test_pca.test_pca_sparse_input ... ok sklearn.decomposition.tests.test_pca.test_pca_bad_solver ... ok sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('full',) ... ok sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('full',) ... ok sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('arpack',) ... ok sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('arpack',) ... ok sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('randomized',) ... ok sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('randomized',) ... ok sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('auto',) ... ok sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('auto',) ... ok sklearn.decomposition.tests.test_sparse_pca.test_correct_shapes ... ok sklearn.decomposition.tests.test_sparse_pca.test_fit_transform ... ok sklearn.decomposition.tests.test_sparse_pca.test_transform_nan ... ok sklearn.decomposition.tests.test_sparse_pca.test_fit_transform_tall ... ok sklearn.decomposition.tests.test_sparse_pca.test_initialization ... ok sklearn.decomposition.tests.test_sparse_pca.test_mini_batch_correct_shapes ... ok sklearn.decomposition.tests.test_sparse_pca.test_mini_batch_fit_transform ... SKIP: skipping mini_batch_fit_transform. sklearn.decomposition.tests.test_sparse_pca.test_fit_transform_parallel ... ok sklearn.decomposition.tests.test_truncated_svd.test_algorithms ... ok sklearn.decomposition.tests.test_truncated_svd.test_attributes ... ok sklearn.decomposition.tests.test_truncated_svd.test_too_many_components ... ok sklearn.decomposition.tests.test_truncated_svd.test_sparse_formats ... ok sklearn.decomposition.tests.test_truncated_svd.test_inverse_transform ... ok sklearn.decomposition.tests.test_truncated_svd.test_integers ... ok sklearn.decomposition.tests.test_truncated_svd.test_explained_variance ... ok sklearn.decomposition.tests.test_truncated_svd.test_singular_values ... ok sklearn.ensemble.tests.test_bagging.test_classification ... ok sklearn.ensemble.tests.test_bagging.test_sparse_classification ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) ok sklearn.ensemble.tests.test_bagging.test_regression ... ok sklearn.ensemble.tests.test_bagging.test_sparse_regression ... ok sklearn.ensemble.tests.test_bagging.test_bootstrap_samples ... ok sklearn.ensemble.tests.test_bagging.test_bootstrap_features ... ok sklearn.ensemble.tests.test_bagging.test_probability ... ok sklearn.ensemble.tests.test_bagging.test_oob_score_classification ... ok sklearn.ensemble.tests.test_bagging.test_oob_score_regression ... ok sklearn.ensemble.tests.test_bagging.test_single_estimator ... ok sklearn.ensemble.tests.test_bagging.test_error ... ok sklearn.ensemble.tests.test_bagging.test_parallel_classification ... ok sklearn.ensemble.tests.test_bagging.test_parallel_regression ... ok sklearn.ensemble.tests.test_bagging.test_gridsearch ... ok sklearn.ensemble.tests.test_bagging.test_base_estimator ... ok sklearn.ensemble.tests.test_bagging.test_bagging_with_pipeline ... ok sklearn.ensemble.tests.test_bagging.test_bagging_sample_weight_unsupported_but_passed ... ok sklearn.ensemble.tests.test_bagging.test_warm_start ... ok sklearn.ensemble.tests.test_bagging.test_warm_start_smaller_n_estimators ... ok sklearn.ensemble.tests.test_bagging.test_warm_start_equal_n_estimators ... ok sklearn.ensemble.tests.test_bagging.test_warm_start_equivalence ... ok sklearn.ensemble.tests.test_bagging.test_warm_start_with_oob_score_fails ... ok sklearn.ensemble.tests.test_bagging.test_oob_score_removed_on_warm_start ... ok sklearn.ensemble.tests.test_bagging.test_oob_score_consistency ... ok sklearn.ensemble.tests.test_bagging.test_estimators_samples ... ok sklearn.ensemble.tests.test_bagging.test_max_samples_consistency ... ok sklearn.ensemble.tests.test_bagging.test_set_oob_score_label_encoding ... ok sklearn.ensemble.tests.test_base.test_base ... ok sklearn.ensemble.tests.test_base.test_base_zero_n_estimators ... ok sklearn.ensemble.tests.test_base.test_base_not_int_n_estimators ... ok sklearn.ensemble.tests.test_base.test_set_random_states ... ok sklearn.ensemble.tests.test_forest.test_classification_toy('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_classification_toy('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_iris('ExtraTreesClassifier', 'gini') ... ok sklearn.ensemble.tests.test_forest.test_iris('ExtraTreesClassifier', 'entropy') ... ok sklearn.ensemble.tests.test_forest.test_iris('RandomForestClassifier', 'gini') ... ok sklearn.ensemble.tests.test_forest.test_iris('RandomForestClassifier', 'entropy') ... ok sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'mse') ... ok sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'mae') ... ok sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'friedman_mse') ... ok sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'mse') ... ok sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'mae') ... ok sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'friedman_mse') ... ok sklearn.ensemble.tests.test_forest.test_regressor_attributes('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_regressor_attributes('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_probability('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_probability('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesClassifier', 'gini', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesClassifier', 'entropy', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', 'gini', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', 'entropy', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'mse', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'friedman_mse', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'mae', , 0.05) ... ok sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'mse', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'friedman_mse', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'mae', , 0.05) ... ok sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesClassifier', 'gini', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesClassifier', 'entropy', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', 'gini', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', 'entropy', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'mse', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'friedman_mse', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'mae', , 0.05) ... ok sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'mse', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'friedman_mse', , 0.01) ... ok sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'mae', , 0.05) ... ok sklearn.ensemble.tests.test_forest.test_importances_asymptotic ... ok sklearn.ensemble.tests.test_forest.test_1d_input ... ok sklearn.ensemble.tests.test_forest.test_random_hasher ... ok sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', <150x4 sparse matrix of type '' ... ok sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', <150x4 sparse matrix of type '' ... ok sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesRegressor', <506x13 sparse matrix of type '' ... ok sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestRegressor', <506x13 sparse matrix of type '' ... ok sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_gridsearch('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_gridsearch('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_parallel('ExtraTreesClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_parallel('RandomForestClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_parallel('ExtraTreesRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_parallel('RandomForestRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_pickle('ExtraTreesClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_pickle('RandomForestClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... ok sklearn.ensemble.tests.test_forest.test_pickle('ExtraTreesRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_pickle('RandomForestRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok sklearn.ensemble.tests.test_forest.test_multioutput('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_multioutput('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_multioutput('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_multioutput('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_classes_shape('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_classes_shape('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_random_trees_dense_type ... ok sklearn.ensemble.tests.test_forest.test_random_trees_dense_equal ... ok sklearn.ensemble.tests.test_forest.test_random_hasher_sparse_data ... ok sklearn.ensemble.tests.test_forest.test_parallel_train ... ok sklearn.ensemble.tests.test_forest.test_distribution ... ok sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_min_samples_split('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_min_samples_split('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_min_samples_split('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_min_samples_split('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_min_samples_split('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_min_samples_leaf('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_min_samples_leaf('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesClassifier', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesClassifier', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestClassifier', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestClassifier', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesRegressor', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesRegressor', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestRegressor', ) ... ok sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestRegressor', ) ... ok sklearn.ensemble.tests.test_forest.test_class_weights('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_class_weights('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_class_weight_balanced_and_bootstrap_multi_output('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_class_weight_balanced_and_bootstrap_multi_output('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_class_weight_errors('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_class_weight_errors('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_clear('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_clear('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomTreesEmbedding',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_oob('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_oob('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_oob('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_warm_start_oob('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_dtype_convert ... ok sklearn.ensemble.tests.test_forest.test_decision_path('ExtraTreesClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_decision_path('RandomForestClassifier',) ... ok sklearn.ensemble.tests.test_forest.test_decision_path('ExtraTreesRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_decision_path('RandomForestRegressor',) ... ok sklearn.ensemble.tests.test_forest.test_min_impurity_split ... ok sklearn.ensemble.tests.test_forest.test_min_impurity_decrease ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy('auto', 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy('auto', 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(True, 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(True, 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(False, 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(False, 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_parameter_checks ... ok sklearn.ensemble.tests.test_gradient_boosting.test_loss_function ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic('auto', 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic('auto', 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(True, 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(True, 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(False, 'deviance') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(False, 'exponential') ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'ls', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'ls', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'lad', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'lad', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'huber', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'huber', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'ls', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'ls', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'lad', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'lad', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'huber', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'huber', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'ls', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'ls', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'lad', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'lad', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'huber', 1.0) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'huber', 0.5) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 1.0, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 1.0, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 0.5, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 0.5, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 1.0, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 1.0, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 0.5, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 0.5, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 1.0, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 1.0, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 0.5, None) ... ok sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 0.5, array([ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.ensemble.tests.test_gradient_boosting.test_regression_synthetic ... ok sklearn.ensemble.tests.test_gradient_boosting.test_feature_importances ... ok sklearn.ensemble.tests.test_gradient_boosting.test_probability_log ... ok sklearn.ensemble.tests.test_gradient_boosting.test_check_inputs ... ok sklearn.ensemble.tests.test_gradient_boosting.test_check_inputs_predict ... ok sklearn.ensemble.tests.test_gradient_boosting.test_check_max_features ... ok sklearn.ensemble.tests.test_gradient_boosting.test_max_feature_regression ... ok sklearn.ensemble.tests.test_gradient_boosting.test_max_feature_auto ... ok sklearn.ensemble.tests.test_gradient_boosting.test_staged_predict ... ok sklearn.ensemble.tests.test_gradient_boosting.test_staged_predict_proba ... ok sklearn.ensemble.tests.test_gradient_boosting.test_staged_functions_defensive ... ok sklearn.ensemble.tests.test_gradient_boosting.test_serialization ... ok sklearn.ensemble.tests.test_gradient_boosting.test_degenerate_targets ... ok sklearn.ensemble.tests.test_gradient_boosting.test_quantile_loss ... ok sklearn.ensemble.tests.test_gradient_boosting.test_symbol_labels ... ok sklearn.ensemble.tests.test_gradient_boosting.test_float_class_labels ... ok sklearn.ensemble.tests.test_gradient_boosting.test_shape_y ... ok sklearn.ensemble.tests.test_gradient_boosting.test_mem_layout ... ok sklearn.ensemble.tests.test_gradient_boosting.test_oob_improvement ... ok sklearn.ensemble.tests.test_gradient_boosting.test_oob_improvement_raise ... ok sklearn.ensemble.tests.test_gradient_boosting.test_oob_multilcass_iris ... ok sklearn.ensemble.tests.test_gradient_boosting.test_verbose_output ... ok sklearn.ensemble.tests.test_gradient_boosting.test_sparse_input ... ok sklearn.ensemble.tests.test_gradient_boosting.test_more_verbose_output ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_n_estimators ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_max_depth ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_clear ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_zero_n_estimators ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_smaller_n_estimators ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_equal_n_estimators ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_oob_switch ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_oob ... ok sklearn.ensemble.tests.test_gradient_boosting.test_monitor_early_stopping ... ok sklearn.ensemble.tests.test_gradient_boosting.test_complete_classification ... ok sklearn.ensemble.tests.test_gradient_boosting.test_complete_regression ... ok sklearn.ensemble.tests.test_gradient_boosting.test_zero_estimator_reg ... ok sklearn.ensemble.tests.test_gradient_boosting.test_zero_estimator_clf ... ok sklearn.ensemble.tests.test_gradient_boosting.test_max_leaf_nodes_max_depth ... ok sklearn.ensemble.tests.test_gradient_boosting.test_min_impurity_split ... ok sklearn.ensemble.tests.test_gradient_boosting.test_min_impurity_decrease ... ok sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_wo_nestimators_change ... ok sklearn.ensemble.tests.test_gradient_boosting.test_probability_exponential ... ok sklearn.ensemble.tests.test_gradient_boosting.test_non_uniform_weights_toy_edge_case_reg ... ok sklearn.ensemble.tests.test_gradient_boosting.test_non_uniform_weights_toy_edge_case_clf ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_binomial_deviance ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_log_odds_estimator ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_smoke ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_init_estimators ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile_equal ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile_zero_weight ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_quantile_loss_function ... ok sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_deviance ... ok Check Isolation Forest for various parameter settings. ... ok Check IForest for various parameter settings on sparse input. ... ok Test that it gives proper exception on deficient input. ... ok Check max_depth recalculation when max_samples is reset to n_samples ... ok sklearn.ensemble.tests.test_iforest.test_max_samples_attribute ... ok Check parallel regression. ... ok Test Isolation Forest performs well ... ok sklearn.ensemble.tests.test_iforest.test_iforest_works ... ok sklearn.ensemble.tests.test_iforest.test_max_samples_consistency ... ok sklearn.ensemble.tests.test_iforest.test_iforest_subsampled_features ... ok sklearn.ensemble.tests.test_iforest.test_iforest_average_path_length ... ok sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_classifier ... ok sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_multiclass ... ok sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_regressor ... ok sklearn.ensemble.tests.test_partial_dependence.test_partial_dependecy_input ... ok sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence ... ok sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence_input ... ok sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence_multiclass ... ok sklearn.ensemble.tests.test_voting_classifier.test_estimator_init ... ok sklearn.ensemble.tests.test_voting_classifier.test_predictproba_hardvoting ... ok sklearn.ensemble.tests.test_voting_classifier.test_notfitted ... ok Check classification by majority label on dataset iris. ... ok Check voting classifier selects smaller class label in tie situation. ... ok Check classification by average probabilities on dataset iris. ... ok Manually check predicted class labels for toy dataset. ... ok Calculate predicted probabilities on toy dataset. ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) ok Check if error is raised for multilabel classification. ... ok Check GridSearch support. ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) /usr/lib/python3/dist-packages/numpy/lib/function_base.py:1142: RuntimeWarning: underflow encountered in multiply avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) /usr/lib/python3/dist-packages/numpy/lib/function_base.py:1142: RuntimeWarning: underflow encountered in multiply avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) /usr/lib/python3/dist-packages/numpy/lib/function_base.py:1142: RuntimeWarning: underflow encountered in multiply avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) /usr/lib/python3/dist-packages/numpy/lib/function_base.py:1142: RuntimeWarning: underflow encountered in multiply avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) ok Check parallel backend of VotingClassifier on toy dataset. ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) ok Tests sample_weight parameter of VotingClassifier ... ok Check that VotingClassifier passes sample_weight as kwargs ... ok set_params should be able to set estimators ... ok VotingClassifier set_params should be able to set estimators as None ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/voting_classifier.py:290: DeprecationWarning: 'flatten_transform' default value will be changed to True in 0.21.To silence this warning you may explicitly set flatten_transform=False. DeprecationWarning) ok sklearn.ensemble.tests.test_voting_classifier.test_estimator_weights_format ... ok Check transform method of VotingClassifier on toy dataset. ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp return np.exp(self.predict_log_proba(X)) ok sklearn.ensemble.tests.test_weight_boosting.test_samme_proba ... ok sklearn.ensemble.tests.test_weight_boosting.test_oneclass_adaboost_proba ... ok sklearn.ensemble.tests.test_weight_boosting.test_classification_toy ... ok sklearn.ensemble.tests.test_weight_boosting.test_regression_toy ... ok sklearn.ensemble.tests.test_weight_boosting.test_iris ... ok sklearn.ensemble.tests.test_weight_boosting.test_boston ... ok sklearn.ensemble.tests.test_weight_boosting.test_staged_predict ... ok sklearn.ensemble.tests.test_weight_boosting.test_gridsearch ... ok sklearn.ensemble.tests.test_weight_boosting.test_pickle ... ok sklearn.ensemble.tests.test_weight_boosting.test_importances ... ok sklearn.ensemble.tests.test_weight_boosting.test_error ... ok sklearn.ensemble.tests.test_weight_boosting.test_base_estimator ... ok sklearn.ensemble.tests.test_weight_boosting.test_sample_weight_missing ... ok sklearn.ensemble.tests.test_weight_boosting.test_sparse_classification ... ok sklearn.ensemble.tests.test_weight_boosting.test_sparse_regression ... ok AdaBoostRegressor should work without sample_weights in the base estimator ... ok sklearn.feature_extraction.tests.test_dict_vectorizer.test_dictvectorizer ... ok sklearn.feature_extraction.tests.test_dict_vectorizer.test_feature_selection ... ok sklearn.feature_extraction.tests.test_dict_vectorizer.test_one_of_k ... ok sklearn.feature_extraction.tests.test_dict_vectorizer.test_unseen_or_no_features ... ok sklearn.feature_extraction.tests.test_dict_vectorizer.test_deterministic_vocabulary ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_dicts ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_pairs ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_pairs_with_string_values ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hash_empty_input ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_invalid_input ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_set_params ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_zeros ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_strings ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hash_collisions ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_alternate_sign ... ok sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_negative ... ok sklearn.feature_extraction.tests.test_image.test_img_to_graph ... ok sklearn.feature_extraction.tests.test_image.test_grid_to_graph ... ok sklearn.feature_extraction.tests.test_image.test_connect_regions ... ok sklearn.feature_extraction.tests.test_image.test_connect_regions_with_grid ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_all ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_all_color ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_all_rect ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_max_patches ... ok sklearn.feature_extraction.tests.test_image.test_reconstruct_patches_perfect ... ok sklearn.feature_extraction.tests.test_image.test_reconstruct_patches_perfect_color ... ok sklearn.feature_extraction.tests.test_image.test_patch_extractor_fit ... ok sklearn.feature_extraction.tests.test_image.test_patch_extractor_max_patches ... ok sklearn.feature_extraction.tests.test_image.test_patch_extractor_max_patches_default ... ok sklearn.feature_extraction.tests.test_image.test_patch_extractor_all_patches ... ok sklearn.feature_extraction.tests.test_image.test_patch_extractor_color ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_strided ... ok sklearn.feature_extraction.tests.test_image.test_extract_patches_square ... ok sklearn.feature_extraction.tests.test_image.test_width_patch ... ok sklearn.feature_extraction.tests.test_text.test_strip_accents ... ok sklearn.feature_extraction.tests.test_text.test_to_ascii ... ok sklearn.feature_extraction.tests.test_text.test_word_analyzer_unigrams ... ok sklearn.feature_extraction.tests.test_text.test_word_analyzer_unigrams_and_bigrams ... ok sklearn.feature_extraction.tests.test_text.test_unicode_decode_error ... ok sklearn.feature_extraction.tests.test_text.test_char_ngram_analyzer ... ok sklearn.feature_extraction.tests.test_text.test_char_wb_ngram_analyzer ... ok sklearn.feature_extraction.tests.test_text.test_word_ngram_analyzer ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_pipeline ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_repeated_indeces ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_gap_index ... ok sklearn.feature_extraction.tests.test_text.test_hashed_binary_occurrences ... ok sklearn.feature_extraction.tests.test_text.test_hashing_vectorizer ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_unicode ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_stop_words ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_empty_vocabulary ... ok sklearn.feature_extraction.tests.test_text.test_fit_countvectorizer_twice ... ok sklearn.feature_extraction.tests.test_text.test_tf_idf_smoothing ... ok sklearn.feature_extraction.tests.test_text.test_tfidf_no_smoothing ... ok sklearn.feature_extraction.tests.test_text.test_sublinear_tf ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer ... ok sklearn.feature_extraction.tests.test_text.test_tfidf_vectorizer_setters ... ok sklearn.feature_extraction.tests.test_text.test_feature_names ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_max_features ... ok sklearn.feature_extraction.tests.test_text.test_count_vectorizer_max_features ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_max_df ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_min_df ... ok sklearn.feature_extraction.tests.test_text.test_count_binary_occurrences ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_inverse_transform ... ok sklearn.feature_extraction.tests.test_text.test_count_vectorizer_pipeline_grid_selection ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_pipeline_grid_selection ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_pipeline_cross_validation ... ok sklearn.feature_extraction.tests.test_text.test_tfidf_vectorizer_with_fixed_vocabulary ... ok sklearn.feature_extraction.tests.test_text.test_pickling_vectorizer ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_vocab_sets_when_pickling ... ok sklearn.feature_extraction.tests.test_text.test_countvectorizer_vocab_dicts_when_pickling ... ok sklearn.feature_extraction.tests.test_text.test_stop_words_removal ... ok sklearn.feature_extraction.tests.test_text.test_pickling_transformer ... ok sklearn.feature_extraction.tests.test_text.test_non_unique_vocab ... ok sklearn.feature_extraction.tests.test_text.test_hashingvectorizer_nan_in_docs ... ok sklearn.feature_extraction.tests.test_text.test_tfidfvectorizer_binary ... ok sklearn.feature_extraction.tests.test_text.test_tfidfvectorizer_export_idf ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_vocab_clone ... ok sklearn.feature_extraction.tests.test_text.test_vectorizer_string_object_as_input ... ok sklearn.feature_selection.tests.test_base.test_transform_dense ... ok sklearn.feature_selection.tests.test_base.test_transform_sparse ... ok sklearn.feature_selection.tests.test_base.test_inverse_transform_dense ... ok sklearn.feature_selection.tests.test_base.test_inverse_transform_sparse ... ok sklearn.feature_selection.tests.test_base.test_get_support ... ok sklearn.feature_selection.tests.test_chi2.test_chi2 ... ok sklearn.feature_selection.tests.test_chi2.test_chi2_coo ... ok sklearn.feature_selection.tests.test_chi2.test_chi2_negative ... ok sklearn.feature_selection.tests.test_chi2.test_chi2_unused_feature ... ok sklearn.feature_selection.tests.test_chi2.test_chisquare ... ok sklearn.feature_selection.tests.test_feature_select.test_f_oneway_vs_scipy_stats ... ok sklearn.feature_selection.tests.test_feature_select.test_f_oneway_ints ... ok sklearn.feature_selection.tests.test_feature_select.test_f_classif ... ok sklearn.feature_selection.tests.test_feature_select.test_f_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_f_regression_input_dtype ... ok sklearn.feature_selection.tests.test_feature_select.test_f_regression_center ... ok sklearn.feature_selection.tests.test_feature_select.test_f_classif_multi_class ... ok sklearn.feature_selection.tests.test_feature_select.test_select_percentile_classif ... ok sklearn.feature_selection.tests.test_feature_select.test_select_percentile_classif_sparse ... ok sklearn.feature_selection.tests.test_feature_select.test_select_kbest_classif ... ok sklearn.feature_selection.tests.test_feature_select.test_select_kbest_all ... ok sklearn.feature_selection.tests.test_feature_select.test_select_kbest_zero ... ok sklearn.feature_selection.tests.test_feature_select.test_select_heuristics_classif ... ok sklearn.feature_selection.tests.test_feature_select.test_select_percentile_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_select_percentile_regression_full ... ok sklearn.feature_selection.tests.test_feature_select.test_invalid_percentile ... ok sklearn.feature_selection.tests.test_feature_select.test_select_kbest_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_select_heuristics_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_boundary_case_ch2 ... ok sklearn.feature_selection.tests.test_feature_select.test_select_fdr_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_select_fwe_regression ... ok sklearn.feature_selection.tests.test_feature_select.test_selectkbest_tiebreaking ... ok sklearn.feature_selection.tests.test_feature_select.test_selectpercentile_tiebreaking ... ok sklearn.feature_selection.tests.test_feature_select.test_tied_pvalues ... ok sklearn.feature_selection.tests.test_feature_select.test_scorefunc_multilabel ... ok sklearn.feature_selection.tests.test_feature_select.test_tied_scores ... ok sklearn.feature_selection.tests.test_feature_select.test_nans ... ok sklearn.feature_selection.tests.test_feature_select.test_score_func_error ... ok sklearn.feature_selection.tests.test_feature_select.test_invalid_k ... ok sklearn.feature_selection.tests.test_feature_select.test_f_classif_constant_feature ... ok sklearn.feature_selection.tests.test_feature_select.test_no_feature_selected ... ok sklearn.feature_selection.tests.test_feature_select.test_mutual_info_classif ... ok sklearn.feature_selection.tests.test_feature_select.test_mutual_info_regression ... ok sklearn.feature_selection.tests.test_from_model.test_invalid_input ... ok sklearn.feature_selection.tests.test_from_model.test_input_estimator_unchanged ... ok sklearn.feature_selection.tests.test_from_model.test_feature_importances ... ok sklearn.feature_selection.tests.test_from_model.test_sample_weight ... ok sklearn.feature_selection.tests.test_from_model.test_coef_default_threshold ... ok sklearn.feature_selection.tests.test_from_model.test_partial_fit ... ok sklearn.feature_selection.tests.test_from_model.test_calling_fit_reinitializes ... ok sklearn.feature_selection.tests.test_from_model.test_prefit ... ok sklearn.feature_selection.tests.test_from_model.test_threshold_string ... ok sklearn.feature_selection.tests.test_from_model.test_threshold_without_refitting ... ok sklearn.feature_selection.tests.test_from_model.test_2d_coef ... ok sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_dd ... ok sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_cc ... ok sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_cd ... ok sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_cd_unique_label ... ok sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_classif_discrete ... ok sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_regression ... ok sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_classif_mixed ... ok sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_options ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_features_importance ... ok sklearn.feature_selection.tests.test_rfe.test_rfe ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_mockclassifier ... ok sklearn.feature_selection.tests.test_rfe.test_rfecv ... ok sklearn.feature_selection.tests.test_rfe.test_rfecv_mockclassifier ... ok sklearn.feature_selection.tests.test_rfe.test_rfecv_verbose_output ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_estimator_tags ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_min_step ... ok sklearn.feature_selection.tests.test_rfe.test_number_of_subsets_of_features ... ok sklearn.feature_selection.tests.test_rfe.test_rfe_cv_n_jobs ... ok sklearn.feature_selection.tests.test_variance_threshold.test_zero_variance ... ok sklearn.feature_selection.tests.test_variance_threshold.test_variance_threshold ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_1d ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class GaussianProcess is deprecated; GaussianProcess was deprecated in version 0.18 and will be removed in 0.20. Use the GaussianProcessRegressor instead. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function l1_cross_distances is deprecated; l1_cross_distances was deprecated in version 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function constant is deprecated; The function constant of regression_models is deprecated in version 0.19.1 and will be removed in 0.22. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function squared_exponential is deprecated; The function squared_exponential of correlation_models is deprecated in version 0.19.1 and will be removed in 0.22. warnings.warn(msg, category=DeprecationWarning) ok sklearn.gaussian_process.tests.test_gaussian_process.test_2d ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_2d_2d ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_wrong_number_of_outputs ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_more_builtin_correlation_models ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function absolute_exponential is deprecated; The function absolute_exponential of correlation_models is deprecated in version 0.19.1 and will be removed in 0.22. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function cubic is deprecated; The function cubic of correlation_models is deprecated in version 0.19.1 and will be removed in 0.22. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function linear is deprecated; The function linear of correlation_models is deprecated in version 0.19.1 and will be removed in 0.22. warnings.warn(msg, category=DeprecationWarning) ok sklearn.gaussian_process.tests.test_gaussian_process.test_ordinary_kriging ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function linear is deprecated; The function linear of regression_models is deprecated in version 0.19.1 and will be removed in 0.22. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function quadratic is deprecated; The function quadratic of regression_models is deprecated in version 0.19.1 and will be removed in 0.22. warnings.warn(msg, category=DeprecationWarning) ok sklearn.gaussian_process.tests.test_gaussian_process.test_no_normalize ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_batch_size ... ok sklearn.gaussian_process.tests.test_gaussian_process.test_random_starts ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/correlation_models.py:102: RuntimeWarning: underflow encountered in exp return np.exp(-np.sum(theta.reshape(1, n_features) * d ** 2, axis=1)) ok sklearn.gaussian_process.tests.test_gaussian_process.test_mse_solving ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/samples_generator.py:1046: RuntimeWarning: underflow encountered in exp np.exp(-1.0 * (singular_ind / effective_rank) ** 2)) ok sklearn.gaussian_process.tests.test_gpc.test_predict_consistent ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply (K * squareform(dists))[:, :, np.newaxis] /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply W_sr_K = W_sr[:, np.newaxis] * K /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply B = np.eye(W.shape[0]) + W_sr_K * W_sr /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply C = solve(L, W_sr[:, np.newaxis] * K) # Line 8 ok sklearn.gaussian_process.tests.test_gpc.test_lml_improving ... ok sklearn.gaussian_process.tests.test_gpc.test_lml_precomputed ... ok sklearn.gaussian_process.tests.test_gpc.test_converged_to_local_maximum ... ok sklearn.gaussian_process.tests.test_gpc.test_lml_gradient ... ok sklearn.gaussian_process.tests.test_gpc.test_random_starts ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1230: RuntimeWarning: underflow encountered in multiply K_gradient *= K[..., np.newaxis] /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:756: RuntimeWarning: underflow encountered in multiply K2_gradient * K1[:, :, np.newaxis])) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:353: RuntimeWarning: underflow encountered in multiply R = W_sr[:, np.newaxis] * cho_solve((L, True), np.diag(W_sr)) # Line 7 /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:755: RuntimeWarning: underflow encountered in multiply return K1 * K2, np.dstack((K1_gradient * K2[:, :, np.newaxis], ok sklearn.gaussian_process.tests.test_gpc.test_custom_optimizer ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply W_sr_K = W_sr[:, np.newaxis] * K /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply B = np.eye(W.shape[0]) + W_sr_K * W_sr /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply W_sr_K = W_sr[:, np.newaxis] * K /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply B = np.eye(W.shape[0]) + W_sr_K * W_sr /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply W_sr_K = W_sr[:, np.newaxis] * K /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply B = np.eye(W.shape[0]) + W_sr_K * W_sr /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply B = np.eye(W.shape[0]) + W_sr_K * W_sr /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply W_sr_K = W_sr[:, np.newaxis] * K /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply B = np.eye(W.shape[0]) + W_sr_K * W_sr /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply W_sr_K = W_sr[:, np.newaxis] * K /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply B = np.eye(W.shape[0]) + W_sr_K * W_sr /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply W_sr_K = W_sr[:, np.newaxis] * K /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:758: RuntimeWarning: underflow encountered in multiply return self.k1(X, Y) * self.k2(X, Y) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply W_sr_K = W_sr[:, np.newaxis] * K /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply B = np.eye(W.shape[0]) + W_sr_K * W_sr /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:758: RuntimeWarning: underflow encountered in multiply return self.k1(X, Y) * self.k2(X, Y) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply W_sr_K = W_sr[:, np.newaxis] * K /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply B = np.eye(W.shape[0]) + W_sr_K * W_sr /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:758: RuntimeWarning: underflow encountered in multiply return self.k1(X, Y) * self.k2(X, Y) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply W_sr_K = W_sr[:, np.newaxis] * K /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply B = np.eye(W.shape[0]) + W_sr_K * W_sr ok sklearn.gaussian_process.tests.test_gpc.test_multi_class ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply (K * squareform(dists))[:, :, np.newaxis] /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply W_sr_K = W_sr[:, np.newaxis] * K /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply B = np.eye(W.shape[0]) + W_sr_K * W_sr /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply C = solve(L, W_sr[:, np.newaxis] * K) # Line 8 /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply (K * squareform(dists))[:, :, np.newaxis] /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply W_sr_K = W_sr[:, np.newaxis] * K /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply B = np.eye(W.shape[0]) + W_sr_K * W_sr /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply C = solve(L, W_sr[:, np.newaxis] * K) # Line 8 /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply (K * squareform(dists))[:, :, np.newaxis] /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply W_sr_K = W_sr[:, np.newaxis] * K /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply B = np.eye(W.shape[0]) + W_sr_K * W_sr /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply C = solve(L, W_sr[:, np.newaxis] * K) # Line 8 /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) ok sklearn.gaussian_process.tests.test_gpc.test_multi_class_n_jobs ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply (K * squareform(dists))[:, :, np.newaxis] /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply W_sr_K = W_sr[:, np.newaxis] * K /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply B = np.eye(W.shape[0]) + W_sr_K * W_sr /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply C = solve(L, W_sr[:, np.newaxis] * K) # Line 8 /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply (K * squareform(dists))[:, :, np.newaxis] /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply W_sr_K = W_sr[:, np.newaxis] * K /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply B = np.eye(W.shape[0]) + W_sr_K * W_sr /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply C = solve(L, W_sr[:, np.newaxis] * K) # Line 8 /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply (K * squareform(dists))[:, :, np.newaxis] /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply W_sr_K = W_sr[:, np.newaxis] * K /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply B = np.eye(W.shape[0]) + W_sr_K * W_sr /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply C = solve(L, W_sr[:, np.newaxis] * K) # Line 8 /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply (K * squareform(dists))[:, :, np.newaxis] /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply W_sr_K = W_sr[:, np.newaxis] * K /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply B = np.eye(W.shape[0]) + W_sr_K * W_sr /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply C = solve(L, W_sr[:, np.newaxis] * K) # Line 8 /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply (K * squareform(dists))[:, :, np.newaxis] /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply W_sr_K = W_sr[:, np.newaxis] * K /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply B = np.eye(W.shape[0]) + W_sr_K * W_sr /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply C = solve(L, W_sr[:, np.newaxis] * K) # Line 8 /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply (K * squareform(dists))[:, :, np.newaxis] /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply W_sr_K = W_sr[:, np.newaxis] * K /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply B = np.eye(W.shape[0]) + W_sr_K * W_sr /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply C = solve(L, W_sr[:, np.newaxis] * K) # Line 8 /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) ok sklearn.gaussian_process.tests.test_gpr.test_gpr_interpolation ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply (K * squareform(dists))[:, :, np.newaxis] /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:755: RuntimeWarning: underflow encountered in multiply return K1 * K2, np.dstack((K1_gradient * K2[:, :, np.newaxis], /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:756: RuntimeWarning: underflow encountered in multiply K2_gradient * K1[:, :, np.newaxis])) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1216: RuntimeWarning: underflow encountered in exp K = np.exp(-.5 * dists) ok sklearn.gaussian_process.tests.test_gpr.test_lml_improving ... ok sklearn.gaussian_process.tests.test_gpr.test_lml_precomputed ... ok sklearn.gaussian_process.tests.test_gpr.test_converged_to_local_maximum ... ok sklearn.gaussian_process.tests.test_gpr.test_solution_inside_bounds ... ok sklearn.gaussian_process.tests.test_gpr.test_lml_gradient ... ok sklearn.gaussian_process.tests.test_gpr.test_prior ... ok sklearn.gaussian_process.tests.test_gpr.test_sample_statistics ... ok sklearn.gaussian_process.tests.test_gpr.test_no_optimizer ... ok sklearn.gaussian_process.tests.test_gpr.test_predict_cov_vs_std ... ok sklearn.gaussian_process.tests.test_gpr.test_anisotropic_kernel ... ok sklearn.gaussian_process.tests.test_gpr.test_random_starts ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1230: RuntimeWarning: underflow encountered in multiply K_gradient *= K[..., np.newaxis] ok sklearn.gaussian_process.tests.test_gpr.test_y_normalization ... ok sklearn.gaussian_process.tests.test_gpr.test_y_multioutput ... ok sklearn.gaussian_process.tests.test_gpr.test_custom_optimizer ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:758: RuntimeWarning: underflow encountered in multiply return self.k1(X, Y) * self.k2(X, Y) ok sklearn.gaussian_process.tests.test_gpr.test_gpr_correct_error_message ... ok sklearn.gaussian_process.tests.test_gpr.test_duplicate_input ... ok sklearn.gaussian_process.tests.test_gpr.test_no_fit_default_predict ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_gradient ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1362: RuntimeWarning: invalid value encountered in true_divide / np.sqrt(D.sum(2))[:, :, np.newaxis] ok sklearn.gaussian_process.tests.test_kernels.test_kernel_theta ... ok sklearn.gaussian_process.tests.test_kernels.test_auto_vs_cross ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_diag ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_operator_commutative ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_anisotropic ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_stationary ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=43), RBF(length_scale=43)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=43), RBF(length_scale=43)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(6.56**2, 6.56**2) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * RBF(length_scale=0.33), 1.41**2 * RBF(length_scale=0.33)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * RBF(length_scale=0.5), 1.41**2 * RBF(length_scale=0.5)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=2) + WhiteKernel(noise_level=3), RBF(length_scale=2) + WhiteKernel(noise_level=3)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * RBF(length_scale=[0.5, 2]), 1.41**2 * RBF(length_scale=[0.5, 2])) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=0.33, nu=1.5), 1.41**2 * Matern(length_scale=0.33, nu=1.5)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=0.5, nu=0.5), 1.41**2 * Matern(length_scale=0.5, nu=0.5)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=1.5, nu=1.5), 1.41**2 * Matern(length_scale=1.5, nu=1.5)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=2.5, nu=2.5), 1.41**2 * Matern(length_scale=2.5, nu=2.5)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=[0.5, 2], nu=0.5), 1.41**2 * Matern(length_scale=[0.5, 2], nu=0.5)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.73**2 * Matern(length_scale=[2, 0.5], nu=1.5), 1.73**2 * Matern(length_scale=[2, 0.5], nu=1.5)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(2**2 * Matern(length_scale=[0.5, 0.5], nu=2.5), 2**2 * Matern(length_scale=[0.5, 0.5], nu=2.5)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RationalQuadratic(alpha=42, length_scale=43), RationalQuadratic(alpha=42, length_scale=43)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(ExpSineSquared(length_scale=42, periodicity=43), ExpSineSquared(length_scale=42, periodicity=43)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(DotProduct(sigma_0=43), DotProduct(sigma_0=43)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(DotProduct(sigma_0=2) ** 2, DotProduct(sigma_0=2) ** 2) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=43), RBF(length_scale=43)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(Matern(length_scale=43, nu=1.5), Matern(length_scale=43, nu=1.5)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=linear), PairwiseKernel(gamma=43, metric=linear)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=polynomial), PairwiseKernel(gamma=43, metric=polynomial)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=poly), PairwiseKernel(gamma=43, metric=poly)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=rbf), PairwiseKernel(gamma=43, metric=rbf)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=laplacian), PairwiseKernel(gamma=43, metric=laplacian)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=sigmoid), PairwiseKernel(gamma=43, metric=sigmoid)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=cosine), PairwiseKernel(gamma=43, metric=cosine)) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone_after_set_params(RBF(length_scale=[43, 43]), RBF(length_scale=[43, 43])) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone_after_set_params(RBF(length_scale=[43, 43]), RBF(length_scale=[43, 43])) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone_after_set_params(RBF(length_scale=[43, 43]), RBF(length_scale=[43, 43])) ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_clone_after_set_params(Matern(length_scale=[43, 43], nu=1.5), Matern(length_scale=[43, 43], nu=1.5)) ... ok sklearn.gaussian_process.tests.test_kernels.test_matern_kernel ... ok sklearn.gaussian_process.tests.test_kernels.test_kernel_versus_pairwise ... ok sklearn.gaussian_process.tests.test_kernels.test_set_get_params ... ok sklearn.gaussian_process.tests.test_kernels.test_repr_kernels ... ok sklearn.linear_model.tests.test_base.test_linear_regression ... ok sklearn.linear_model.tests.test_base.test_linear_regression_sample_weights ... ok sklearn.linear_model.tests.test_base.test_raises_value_error_if_sample_weights_greater_than_1d ... ok sklearn.linear_model.tests.test_base.test_fit_intercept ... ok sklearn.linear_model.tests.test_base.test_linear_regression_sparse ... ok sklearn.linear_model.tests.test_base.test_linear_regression_multiple_outcome ... ok sklearn.linear_model.tests.test_base.test_linear_regression_sparse_multiple_outcome ... ok sklearn.linear_model.tests.test_base.test_preprocess_data ... ok sklearn.linear_model.tests.test_base.test_preprocess_data_multioutput ... ok sklearn.linear_model.tests.test_base.test_preprocess_data_weighted ... ok sklearn.linear_model.tests.test_base.test_sparse_preprocess_data_with_return_mean ... ok sklearn.linear_model.tests.test_base.test_deprecation_center_data ... ok sklearn.linear_model.tests.test_base.test_csr_preprocess_data ... ok sklearn.linear_model.tests.test_base.test_dtype_preprocess_data ... ok sklearn.linear_model.tests.test_base.test_rescale_data ... ok sklearn.linear_model.tests.test_bayes.test_bayesian_on_diabetes ... SKIP: XFailed Test sklearn.linear_model.tests.test_bayes.test_bayesian_ridge_parameter ... ok sklearn.linear_model.tests.test_bayes.test_toy_bayesian_ridge_object ... ok sklearn.linear_model.tests.test_bayes.test_toy_ard_object ... ok sklearn.linear_model.tests.test_bayes.test_return_std ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_zero ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_toy ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_toy ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv_with_some_model_selection ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_split.py:605: Warning: The least populated class in y has only 1 members, which is too few. The minimum number of members in any class cannot be less than n_splits=5. % (min_groups, self.n_splits)), Warning) ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv_positive_constraint ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_path_return_models_vs_new_return_gives_same_coefficients ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_path ... ok sklearn.linear_model.tests.test_coordinate_descent.test_path_parameters ... ok sklearn.linear_model.tests.test_coordinate_descent.test_warm_start ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_alpha_warning ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_positive_constraint ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_positive_constraint ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_cv_positive_constraint ... ok sklearn.linear_model.tests.test_coordinate_descent.test_uniform_targets ... ok sklearn.linear_model.tests.test_coordinate_descent.test_multi_task_lasso_and_enet ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_readonly_data ... ok sklearn.linear_model.tests.test_coordinate_descent.test_multi_task_lasso_readonly_data ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_multitarget ... ok sklearn.linear_model.tests.test_coordinate_descent.test_multioutput_enetcv_error ... ok sklearn.linear_model.tests.test_coordinate_descent.test_multitask_enet_and_lasso_cv ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok sklearn.linear_model.tests.test_coordinate_descent.test_1d_multioutput_enet_and_multitask_enet_cv ... ok sklearn.linear_model.tests.test_coordinate_descent.test_1d_multioutput_lasso_and_multitask_lasso_cv ... ok sklearn.linear_model.tests.test_coordinate_descent.test_sparse_input_dtype_enet_and_lassocv ... ok sklearn.linear_model.tests.test_coordinate_descent.test_precompute_invalid_argument ... ok sklearn.linear_model.tests.test_coordinate_descent.test_warm_start_convergence ... ok sklearn.linear_model.tests.test_coordinate_descent.test_warm_start_convergence_with_regularizer_decrement ... ok sklearn.linear_model.tests.test_coordinate_descent.test_random_descent ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_path_positive ... ok sklearn.linear_model.tests.test_coordinate_descent.test_sparse_dense_descent_paths ... ok sklearn.linear_model.tests.test_coordinate_descent.test_check_input_false ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok sklearn.linear_model.tests.test_coordinate_descent.test_overrided_gram_matrix ... ok sklearn.linear_model.tests.test_coordinate_descent.test_lasso_non_float_y ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_float_precision ... ok sklearn.linear_model.tests.test_coordinate_descent.test_enet_l1_ratio ... ok sklearn.linear_model.tests.test_huber.test_huber_equals_lr_for_high_epsilon ... ok sklearn.linear_model.tests.test_huber.test_huber_gradient ... ok sklearn.linear_model.tests.test_huber.test_huber_sample_weights ... ok sklearn.linear_model.tests.test_huber.test_huber_sparse ... ok sklearn.linear_model.tests.test_huber.test_huber_scaling_invariant ... ok sklearn.linear_model.tests.test_huber.test_huber_and_sgd_same_results ... ok sklearn.linear_model.tests.test_huber.test_huber_warm_start ... ok sklearn.linear_model.tests.test_huber.test_huber_better_r2_score ... ok sklearn.linear_model.tests.test_least_angle.test_simple ... ok sklearn.linear_model.tests.test_least_angle.test_simple_precomputed ... ok sklearn.linear_model.tests.test_least_angle.test_all_precomputed ... ok sklearn.linear_model.tests.test_least_angle.test_lars_lstsq ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_gives_lstsq_solution ... ok sklearn.linear_model.tests.test_least_angle.test_collinearity ... ok sklearn.linear_model.tests.test_least_angle.test_no_path ... ok sklearn.linear_model.tests.test_least_angle.test_no_path_precomputed ... ok sklearn.linear_model.tests.test_least_angle.test_no_path_all_precomputed ... ok sklearn.linear_model.tests.test_least_angle.test_lars_precompute ... ok sklearn.linear_model.tests.test_least_angle.test_singular_matrix ... ok sklearn.linear_model.tests.test_least_angle.test_rank_deficient_design ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_early_stopping ... ok sklearn.linear_model.tests.test_least_angle.test_multitarget ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_path_length ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_ill_conditioned ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_ill_conditioned2 ... ok sklearn.linear_model.tests.test_least_angle.test_lars_add_features ... ok sklearn.linear_model.tests.test_least_angle.test_lars_n_nonzero_coefs ... ok sklearn.linear_model.tests.test_least_angle.test_lars_cv ... ok sklearn.linear_model.tests.test_least_angle.test_lars_cv_max_iter ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_ic ... ok sklearn.linear_model.tests.test_least_angle.test_lars_path_readonly_data ... ok sklearn.linear_model.tests.test_least_angle.test_lars_path_positive_constraint ... ok sklearn.linear_model.tests.test_least_angle.test_estimatorclasses_positive_constraint ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_positive ... ok sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_R_implementation ... ok sklearn.linear_model.tests.test_logistic.test_predict_2_classes ... ok sklearn.linear_model.tests.test_logistic.test_error ... ok sklearn.linear_model.tests.test_logistic.test_lr_liblinear_warning ... ok sklearn.linear_model.tests.test_logistic.test_predict_3_classes ... ok sklearn.linear_model.tests.test_logistic.test_predict_iris ... ok sklearn.linear_model.tests.test_logistic.test_multinomial_validation ... ok sklearn.linear_model.tests.test_logistic.test_check_solver_option ... ok sklearn.linear_model.tests.test_logistic.test_multinomial_binary ... ok sklearn.linear_model.tests.test_logistic.test_sparsify ... ok sklearn.linear_model.tests.test_logistic.test_inconsistent_input ... ok sklearn.linear_model.tests.test_logistic.test_write_parameters ... ok sklearn.linear_model.tests.test_logistic.test_nan ... ok sklearn.linear_model.tests.test_logistic.test_consistency_path ... ok sklearn.linear_model.tests.test_logistic.test_max_iter ... ok sklearn.linear_model.tests.test_logistic.test_liblinear_dual_random_state ... ok sklearn.linear_model.tests.test_logistic.test_logistic_loss_and_grad ... ok sklearn.linear_model.tests.test_logistic.test_logistic_grad_hess ... ok sklearn.linear_model.tests.test_logistic.test_logistic_cv ... ok sklearn.linear_model.tests.test_logistic.test_multinomial_logistic_regression_string_inputs ... ok sklearn.linear_model.tests.test_logistic.test_logistic_cv_sparse ... ok sklearn.linear_model.tests.test_logistic.test_intercept_logistic_helper ... ok sklearn.linear_model.tests.test_logistic.test_ovr_multinomial_iris ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py:326: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge "the coef_ did not converge", ConvergenceWarning) ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_solvers ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_solvers_multiclass ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regressioncv_class_weights ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_sample_weights ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_class_weights ... ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_convergence_warnings ... iter 1 act 8.747e+00 pre 7.841e+00 delta 1.521e+00 f 1.386e+01 |g| 1.607e+01 CG 3 iter 2 act 9.618e-01 pre 8.065e-01 delta 1.521e+00 f 5.116e+00 |g| 3.834e+00 CG 2 ok sklearn.linear_model.tests.test_logistic.test_logistic_regression_multinomial ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py:326: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge "the coef_ did not converge", ConvergenceWarning) ok sklearn.linear_model.tests.test_logistic.test_multinomial_grad_hess ... ok sklearn.linear_model.tests.test_logistic.test_liblinear_decision_function_zero ... ok sklearn.linear_model.tests.test_logistic.test_liblinear_logregcv_sparse ... ok sklearn.linear_model.tests.test_logistic.test_saga_sparse ... ok sklearn.linear_model.tests.test_logistic.test_logreg_intercept_scaling ... ok sklearn.linear_model.tests.test_logistic.test_logreg_intercept_scaling_zero ... ok sklearn.linear_model.tests.test_logistic.test_logreg_l1 ... ok sklearn.linear_model.tests.test_logistic.test_logreg_l1_sparse_data ... ok sklearn.linear_model.tests.test_logistic.test_logreg_cv_penalty ... ok sklearn.linear_model.tests.test_logistic.test_logreg_predict_proba_multinomial ... ok sklearn.linear_model.tests.test_logistic.test_n_iter ... ok sklearn.linear_model.tests.test_logistic.test_warm_start ... ok sklearn.linear_model.tests.test_logistic.test_saga_vs_liblinear ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py:326: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge "the coef_ did not converge", ConvergenceWarning) ok sklearn.linear_model.tests.test_logistic.test_dtype_match ... ok sklearn.linear_model.tests.test_omp.test_correct_shapes ... ok sklearn.linear_model.tests.test_omp.test_correct_shapes_gram ... ok sklearn.linear_model.tests.test_omp.test_n_nonzero_coefs ... ok sklearn.linear_model.tests.test_omp.test_tol ... ok sklearn.linear_model.tests.test_omp.test_with_without_gram ... ok sklearn.linear_model.tests.test_omp.test_with_without_gram_tol ... ok sklearn.linear_model.tests.test_omp.test_unreachable_accuracy ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/omp.py:385: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. copy_X=copy_X, return_path=return_path) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/omp.py:374: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. return_path=return_path) ok sklearn.linear_model.tests.test_omp.test_bad_input ... ok sklearn.linear_model.tests.test_omp.test_perfect_signal_recovery ... ok sklearn.linear_model.tests.test_omp.test_estimator ... ok sklearn.linear_model.tests.test_omp.test_identical_regressors ... ok sklearn.linear_model.tests.test_omp.test_swapped_regressors ... ok sklearn.linear_model.tests.test_omp.test_no_atoms ... ok sklearn.linear_model.tests.test_omp.test_omp_path ... ok sklearn.linear_model.tests.test_omp.test_omp_return_path_prop_with_gram ... ok sklearn.linear_model.tests.test_omp.test_omp_cv ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/omp.py:385: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. copy_X=copy_X, return_path=return_path) ok sklearn.linear_model.tests.test_omp.test_omp_reaches_least_squares ... ok sklearn.linear_model.tests.test_passive_aggressive.test_classifier_accuracy ... ok sklearn.linear_model.tests.test_passive_aggressive.test_classifier_partial_fit ... ok sklearn.linear_model.tests.test_passive_aggressive.test_classifier_refit ... ok sklearn.linear_model.tests.test_passive_aggressive.test_classifier_correctness ... ok sklearn.linear_model.tests.test_passive_aggressive.test_classifier_undefined_methods ... ok sklearn.linear_model.tests.test_passive_aggressive.test_class_weights ... ok sklearn.linear_model.tests.test_passive_aggressive.test_partial_fit_weight_class_balanced ... ok sklearn.linear_model.tests.test_passive_aggressive.test_equal_class_weight ... ok sklearn.linear_model.tests.test_passive_aggressive.test_wrong_class_weight_label ... ok sklearn.linear_model.tests.test_passive_aggressive.test_wrong_class_weight_format ... ok sklearn.linear_model.tests.test_passive_aggressive.test_regressor_mse ... ok sklearn.linear_model.tests.test_passive_aggressive.test_regressor_partial_fit ... ok sklearn.linear_model.tests.test_passive_aggressive.test_regressor_correctness ... ok sklearn.linear_model.tests.test_passive_aggressive.test_regressor_undefined_methods ... ok sklearn.linear_model.tests.test_perceptron.test_perceptron_accuracy ... ok sklearn.linear_model.tests.test_perceptron.test_perceptron_correctness ... ok sklearn.linear_model.tests.test_perceptron.test_undefined_methods ... ok sklearn.linear_model.tests.test_randomized_l1.test_randomized_lasso_precompute ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLasso is deprecated; The class RandomizedLasso is deprecated in 0.19 and will be removed in 0.21. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLasso is deprecated; The class RandomizedLasso is deprecated in 0.19 and will be removed in 0.21. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLasso is deprecated; The class RandomizedLasso is deprecated in 0.19 and will be removed in 0.21. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLasso is deprecated; The class RandomizedLasso is deprecated in 0.19 and will be removed in 0.21. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLasso is deprecated; The class RandomizedLasso is deprecated in 0.19 and will be removed in 0.21. warnings.warn(msg, category=DeprecationWarning) ok sklearn.linear_model.tests.test_randomized_l1.test_warning_raised ... ok sklearn.linear_model.tests.test_randomized_l1.test_lasso_stability_path ... ok sklearn.linear_model.tests.test_randomized_l1.test_randomized_lasso ... ok sklearn.linear_model.tests.test_randomized_l1.test_randomized_lasso_error_memory ... ok sklearn.linear_model.tests.test_randomized_l1.test_randomized_logistic ... ok sklearn.linear_model.tests.test_randomized_l1.test_randomized_logistic_sparse ... ok sklearn.linear_model.tests.test_ransac.test_ransac_inliers_outliers ... ok sklearn.linear_model.tests.test_ransac.test_ransac_is_data_valid ... ok sklearn.linear_model.tests.test_ransac.test_ransac_is_model_valid ... ok sklearn.linear_model.tests.test_ransac.test_ransac_max_trials ... ok sklearn.linear_model.tests.test_ransac.test_ransac_stop_n_inliers ... ok sklearn.linear_model.tests.test_ransac.test_ransac_stop_score ... ok sklearn.linear_model.tests.test_ransac.test_ransac_score ... ok sklearn.linear_model.tests.test_ransac.test_ransac_predict ... ok sklearn.linear_model.tests.test_ransac.test_ransac_resid_thresh_no_inliers ... ok sklearn.linear_model.tests.test_ransac.test_ransac_no_valid_data ... ok sklearn.linear_model.tests.test_ransac.test_ransac_no_valid_model ... ok sklearn.linear_model.tests.test_ransac.test_ransac_exceed_max_skips ... ok sklearn.linear_model.tests.test_ransac.test_ransac_warn_exceed_max_skips ... ok sklearn.linear_model.tests.test_ransac.test_ransac_sparse_coo ... ok sklearn.linear_model.tests.test_ransac.test_ransac_sparse_csr ... ok sklearn.linear_model.tests.test_ransac.test_ransac_sparse_csc ... ok sklearn.linear_model.tests.test_ransac.test_ransac_none_estimator ... ok sklearn.linear_model.tests.test_ransac.test_ransac_min_n_samples ... ok sklearn.linear_model.tests.test_ransac.test_ransac_multi_dimensional_targets ... ok sklearn.linear_model.tests.test_ransac.test_ransac_residual_metric ... ok sklearn.linear_model.tests.test_ransac.test_ransac_residual_loss ... ok sklearn.linear_model.tests.test_ransac.test_ransac_default_residual_threshold ... ok sklearn.linear_model.tests.test_ransac.test_ransac_dynamic_max_trials ... ok sklearn.linear_model.tests.test_ransac.test_ransac_fit_sample_weight ... ok sklearn.linear_model.tests.test_ridge.test_ridge ... ok sklearn.linear_model.tests.test_ridge.test_primal_dual_relationship ... ok sklearn.linear_model.tests.test_ridge.test_ridge_singular ... /usr/lib/python3/dist-packages/scipy/linalg/basic.py:223: RuntimeWarning: scipy.linalg.solve Ill-conditioned matrix detected. Result is not guaranteed to be accurate. Reciprocal condition number: 7.772059771518944e-19 ' condition number: {}'.format(rcond), RuntimeWarning) ok sklearn.linear_model.tests.test_ridge.test_ridge_regression_sample_weights ... ok sklearn.linear_model.tests.test_ridge.test_ridge_sample_weights ... ok sklearn.linear_model.tests.test_ridge.test_ridge_shapes ... ok sklearn.linear_model.tests.test_ridge.test_ridge_intercept ... ok sklearn.linear_model.tests.test_ridge.test_toy_ridge_object ... ok sklearn.linear_model.tests.test_ridge.test_ridge_vs_lstsq ... ok sklearn.linear_model.tests.test_ridge.test_ridge_individual_penalties ... ok sklearn.linear_model.tests.test_ridge.test_n_iter ... ok sklearn.linear_model.tests.test_ridge.test_dense_sparse(,) ... ok sklearn.linear_model.tests.test_ridge.test_dense_sparse(,) ... ok sklearn.linear_model.tests.test_ridge.test_dense_sparse(,) ... ok sklearn.linear_model.tests.test_ridge.test_dense_sparse(,) ... ok sklearn.linear_model.tests.test_ridge.test_dense_sparse(,) ... ok sklearn.linear_model.tests.test_ridge.test_dense_sparse(,) ... ok sklearn.linear_model.tests.test_ridge.test_dense_sparse(,) ... ok sklearn.linear_model.tests.test_ridge.test_ridge_cv_sparse_svd ... ok sklearn.linear_model.tests.test_ridge.test_ridge_sparse_svd ... ok sklearn.linear_model.tests.test_ridge.test_class_weights ... ok Check class_weights resemble sample_weights behavior. ... ok sklearn.linear_model.tests.test_ridge.test_class_weights_cv ... ok sklearn.linear_model.tests.test_ridge.test_ridgecv_store_cv_values ... ok sklearn.linear_model.tests.test_ridge.test_ridgecv_sample_weight ... ok sklearn.linear_model.tests.test_ridge.test_raises_value_error_if_sample_weights_greater_than_1d ... ok sklearn.linear_model.tests.test_ridge.test_sparse_design_with_sample_weights ... ok sklearn.linear_model.tests.test_ridge.test_raises_value_error_if_solver_not_supported ... ok sklearn.linear_model.tests.test_ridge.test_sparse_cg_max_iter ... ok sklearn.linear_model.tests.test_ridge.test_ridge_fit_intercept_sparse ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/ridge.py:319: UserWarning: In Ridge, only 'sag' solver can currently fit the intercept when X is sparse. Solver has been automatically changed into 'sag'. warnings.warn("In Ridge, only 'sag' solver can currently fit the " ok sklearn.linear_model.tests.test_ridge.test_errors_and_values_helper ... ok sklearn.linear_model.tests.test_ridge.test_errors_and_values_svd_helper ... ok sklearn.linear_model.tests.test_ridge.test_ridge_classifier_no_support_multilabel ... ok sklearn.linear_model.tests.test_ridge.test_dtype_match ... ok sklearn.linear_model.tests.test_ridge.test_dtype_match_cholesky ... ok tests binary classifier with classweights for each class ... ok sklearn.linear_model.tests.test_sag.test_classifier_matching ... ok tests if classifier results match target ... ok sklearn.linear_model.tests.test_sag.test_get_auto_step_size ... ok tests multiclass with classweights for each class ... ok sklearn.linear_model.tests.test_sag.test_regressor_matching ... ok tests if the binary classifier is computed correctly ... ok tests if the multiclass classifier is computed correctly ... ok tests if the sag pobj matches log reg ... ok tests if the sag pobj matches ridge reg ... ok tests if the sag regressor performs well ... ok tests if the sag regressor is computed correctly ... ok tests if ValueError is thrown with only one class ... ok sklearn.linear_model.tests.test_sag.test_step_size_alpha_error ... ok sklearn.linear_model.tests.test_sag.test_multinomial_loss ... ok sklearn.linear_model.tests.test_sag.test_multinomial_loss_ground_truth ... ok test_argument_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_average_binary_computed_correctly (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_balanced_weight (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_class_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_clone (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_equal_class_weight (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_fit_then_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_input_format (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_multiple_fit (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_binary (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_exception (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_multiclass_average (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_partial_fit_weight_class_balanced (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_provide_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_regression_losses (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sample_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_set_coef_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_set_intercept (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_set_intercept_binary (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_set_intercept_to_intercept (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_at_least_two_labels (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_alpha (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_eta0 (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_l1_ratio (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_learning_rate_schedule (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_l1 (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_max_iter_param (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_multiclass_average (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_multiclass_njobs (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_multiclass_with_init_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_sgd_proba (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) ok test_sgd_shuffle_param (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_warm_start_constant (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_warm_start_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_weights_multiplied (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_wrong_class_weight_format (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_wrong_class_weight_label (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_wrong_sample_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok test_average_sparse (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_clone (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_elasticnet_convergence (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_input_format (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_loss_function_epsilon (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_averaged_computed_correctly (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_averaged_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_epsilon_insensitive (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_huber_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_sgd_least_squares_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_warm_start_constant (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok test_argument_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_average_binary_computed_correctly (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_balanced_weight (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_class_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_clone (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_equal_class_weight (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_fit_then_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_input_format (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_multiple_fit (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_binary (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_exception (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_multiclass_average (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_partial_fit_weight_class_balanced (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_provide_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_regression_losses (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sample_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_set_coef_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_set_intercept (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_set_intercept_binary (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_set_intercept_to_intercept (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_at_least_two_labels (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_alpha (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_eta0 (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_l1_ratio (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_learning_rate_schedule (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_l1 (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_max_iter_param (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_multiclass_average (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_multiclass_njobs (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_multiclass_with_init_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_sgd_proba (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) ok test_sgd_shuffle_param (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_warm_start_constant (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_warm_start_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_weights_multiplied (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_wrong_class_weight_format (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_wrong_class_weight_label (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_wrong_sample_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok test_average_sparse (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_clone (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_elasticnet_convergence (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_input_format (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_loss_function_epsilon (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_averaged_computed_correctly (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_averaged_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_epsilon_insensitive (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_huber_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_sgd_least_squares_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_warm_start_constant (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok sklearn.linear_model.tests.test_sgd.test_tol_and_max_iter_default_values ... ok sklearn.linear_model.tests.test_sgd.test_l1_ratio ... ok sklearn.linear_model.tests.test_sgd.test_underflow_or_overlow ... ok sklearn.linear_model.tests.test_sgd.test_numerical_stability_large_gradient ... ok sklearn.linear_model.tests.test_sgd.test_large_regularization ... ok sklearn.linear_model.tests.test_sgd.test_tol_parameter ... ok sklearn.linear_model.tests.test_sgd.test_future_and_deprecation_warnings ... ok sklearn.linear_model.tests.test_sgd.test_gradient_hinge ... ok sklearn.linear_model.tests.test_sgd.test_gradient_squared_hinge ... ok sklearn.linear_model.tests.test_sgd.test_gradient_log ... ok sklearn.linear_model.tests.test_sgd.test_gradient_squared_loss ... ok sklearn.linear_model.tests.test_sgd.test_gradient_huber ... ok sklearn.linear_model.tests.test_sgd.test_gradient_modified_huber ... ok sklearn.linear_model.tests.test_sgd.test_gradient_epsilon_insensitive ... ok sklearn.linear_model.tests.test_sgd.test_gradient_squared_epsilon_insensitive ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_coef ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_normalize_option ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_lasso_zero ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_toy_list_input ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_toy_explicit_sparse_input ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_enet_not_as_toy_dataset ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_lasso_not_as_toy_dataset ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_multitarget ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_path_parameters ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_same_output_sparse_dense_lasso_and_enet_cv ... ok sklearn.linear_model.tests.test_sparse_coordinate_descent.test_same_multiple_output_sparse_dense ... ok sklearn.linear_model.tests.test_theil_sen.test_modweiszfeld_step_1d ... ok sklearn.linear_model.tests.test_theil_sen.test_modweiszfeld_step_2d ... ok sklearn.linear_model.tests.test_theil_sen.test_spatial_median_1d ... ok sklearn.linear_model.tests.test_theil_sen.test_spatial_median_2d ... ok sklearn.linear_model.tests.test_theil_sen.test_theil_sen_1d ... ok sklearn.linear_model.tests.test_theil_sen.test_theil_sen_1d_no_intercept ... ok sklearn.linear_model.tests.test_theil_sen.test_theil_sen_2d ... ok sklearn.linear_model.tests.test_theil_sen.test_calc_breakdown_point ... ok sklearn.linear_model.tests.test_theil_sen.test_checksubparams_negative_subpopulation ... ok sklearn.linear_model.tests.test_theil_sen.test_checksubparams_too_few_subsamples ... ok sklearn.linear_model.tests.test_theil_sen.test_checksubparams_too_many_subsamples ... ok sklearn.linear_model.tests.test_theil_sen.test_checksubparams_n_subsamples_if_less_samples_than_features ... ok sklearn.linear_model.tests.test_theil_sen.test_subpopulation ... ok sklearn.linear_model.tests.test_theil_sen.test_subsamples ... ok sklearn.linear_model.tests.test_theil_sen.test_verbosity ... ok sklearn.linear_model.tests.test_theil_sen.test_theil_sen_parallel ... ok sklearn.linear_model.tests.test_theil_sen.test_less_samples_than_features ... ok sklearn.manifold.tests.test_isomap.test_isomap_simple_grid ... ok sklearn.manifold.tests.test_isomap.test_isomap_reconstruction_error ... ok sklearn.manifold.tests.test_isomap.test_transform ... ok sklearn.manifold.tests.test_isomap.test_pipeline ... ok sklearn.manifold.tests.test_isomap.test_isomap_clone_bug ... ok sklearn.manifold.tests.test_locally_linear.test_barycenter_kneighbors_graph ... ok sklearn.manifold.tests.test_locally_linear.test_lle_simple_grid ... ok sklearn.manifold.tests.test_locally_linear.test_lle_manifold ... ok sklearn.manifold.tests.test_locally_linear.test_lle_init_parameters ... ok sklearn.manifold.tests.test_locally_linear.test_pipeline ... ok sklearn.manifold.tests.test_locally_linear.test_singular_matrix ... ok sklearn.manifold.tests.test_locally_linear.test_integer_input ... ok sklearn.manifold.tests.test_mds.test_smacof ... ok sklearn.manifold.tests.test_mds.test_smacof_error ... ok sklearn.manifold.tests.test_mds.test_MDS ... ok sklearn.manifold.tests.test_spectral_embedding.test_sparse_graph_connected_component ... ok sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_two_components ... ok sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_precomputed_affinity ... ok sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_callable_affinity ... ok sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_amg_solver ... SKIP: pyamg not available. sklearn.manifold.tests.test_spectral_embedding.test_pipeline_spectral_clustering ... ok sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_unknown_eigensolver ... ok sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_unknown_affinity ... ok sklearn.manifold.tests.test_spectral_embedding.test_connectivity ... ok sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_deterministic ... ok sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_unnormalized ... ok sklearn.manifold.tests.test_t_sne.test_gradient_descent_stops ... ok sklearn.manifold.tests.test_t_sne.test_binary_search ... ok sklearn.manifold.tests.test_t_sne.test_binary_search_neighbors ... ok sklearn.manifold.tests.test_t_sne.test_binary_perplexity_stability ... ok sklearn.manifold.tests.test_t_sne.test_gradient ... ok sklearn.manifold.tests.test_t_sne.test_trustworthiness ... ok sklearn.manifold.tests.test_t_sne.test_preserve_trustworthiness_approximately ... ok t-SNE should give a lower KL divergence with more iterations. ... ok sklearn.manifold.tests.test_t_sne.test_fit_csr_matrix ... ok sklearn.manifold.tests.test_t_sne.test_preserve_trustworthiness_approximately_with_precomputed_distances ... ok sklearn.manifold.tests.test_t_sne.test_early_exaggeration_too_small ... ok sklearn.manifold.tests.test_t_sne.test_too_few_iterations ... ok sklearn.manifold.tests.test_t_sne.test_non_square_precomputed_distances ... ok sklearn.manifold.tests.test_t_sne.test_non_positive_precomputed_distances ... ok sklearn.manifold.tests.test_t_sne.test_non_positive_computed_distances ... ok sklearn.manifold.tests.test_t_sne.test_init_not_available ... ok sklearn.manifold.tests.test_t_sne.test_init_ndarray ... ok sklearn.manifold.tests.test_t_sne.test_init_ndarray_precomputed ... ok sklearn.manifold.tests.test_t_sne.test_distance_not_available ... ok sklearn.manifold.tests.test_t_sne.test_method_not_available ... ok sklearn.manifold.tests.test_t_sne.test_angle_out_of_range_checks ... ok sklearn.manifold.tests.test_t_sne.test_pca_initialization_not_compatible_with_precomputed_kernel ... ok sklearn.manifold.tests.test_t_sne.test_n_components_range ... ok sklearn.manifold.tests.test_t_sne.test_early_exaggeration_used ... ok sklearn.manifold.tests.test_t_sne.test_n_iter_used ... ok sklearn.manifold.tests.test_t_sne.test_answer_gradient_two_points ... ok sklearn.manifold.tests.test_t_sne.test_answer_gradient_four_points ... ok sklearn.manifold.tests.test_t_sne.test_skip_num_points_gradient ... ok sklearn.manifold.tests.test_t_sne.test_verbose ... ok sklearn.manifold.tests.test_t_sne.test_chebyshev_metric ... ok sklearn.manifold.tests.test_t_sne.test_reduction_to_one_component ... ok sklearn.manifold.tests.test_t_sne.test_no_sparse_on_barnes_hut ... ok sklearn.manifold.tests.test_t_sne.test_64bit ... ok sklearn.manifold.tests.test_t_sne.test_barnes_hut_angle ... ok sklearn.manifold.tests.test_t_sne.test_min_grad_norm ... ok sklearn.manifold.tests.test_t_sne.test_n_iter_without_progress ... ok sklearn.manifold.tests.test_t_sne.test_accessible_kl_divergence ... ok sklearn.manifold.tests.test_t_sne.test_uniform_grid('barnes_hut',) ... ok sklearn.manifold.tests.test_t_sne.test_uniform_grid('exact',) ... ok sklearn.manifold.tests.test_t_sne.test_bh_match_exact ... ok Make sure that TSNE works for different distance metrics ... ok sklearn.metrics.cluster.tests.test_bicluster.test_jaccard ... ok sklearn.metrics.cluster.tests.test_bicluster.test_consensus_score ... ok Different number of biclusters in A and B ... ok sklearn.metrics.cluster.tests.test_supervised.test_error_messages_on_wrong_input ... ok sklearn.metrics.cluster.tests.test_supervised.test_perfect_matches ... ok sklearn.metrics.cluster.tests.test_supervised.test_homogeneous_but_not_complete_labeling ... ok sklearn.metrics.cluster.tests.test_supervised.test_complete_but_not_homogeneous_labeling ... ok sklearn.metrics.cluster.tests.test_supervised.test_not_complete_and_not_homogeneous_labeling ... ok sklearn.metrics.cluster.tests.test_supervised.test_non_consicutive_labels ... ok sklearn.metrics.cluster.tests.test_supervised.test_adjustment_for_chance ... ok sklearn.metrics.cluster.tests.test_supervised.test_adjusted_mutual_info_score ... ok sklearn.metrics.cluster.tests.test_supervised.test_expected_mutual_info_overflow ... ok sklearn.metrics.cluster.tests.test_supervised.test_entropy ... ok sklearn.metrics.cluster.tests.test_supervised.test_contingency_matrix ... ok sklearn.metrics.cluster.tests.test_supervised.test_contingency_matrix_sparse ... ok sklearn.metrics.cluster.tests.test_supervised.test_exactly_zero_info_score ... ok sklearn.metrics.cluster.tests.test_supervised.test_v_measure_and_mutual_information ... ok sklearn.metrics.cluster.tests.test_supervised.test_fowlkes_mallows_score ... ok sklearn.metrics.cluster.tests.test_supervised.test_fowlkes_mallows_score_properties ... ok sklearn.metrics.cluster.tests.test_unsupervised.test_silhouette ... ok sklearn.metrics.cluster.tests.test_unsupervised.test_cluster_size_1 ... ok sklearn.metrics.cluster.tests.test_unsupervised.test_correct_labelsize ... ok sklearn.metrics.cluster.tests.test_unsupervised.test_non_encoded_labels ... ok sklearn.metrics.cluster.tests.test_unsupervised.test_non_numpy_labels ... ok sklearn.metrics.cluster.tests.test_unsupervised.test_calinski_harabaz_score ... ok sklearn.metrics.tests.test_classification.test_multilabel_accuracy_score_subset_accuracy ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_binary ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f_binary_single_class ... ok sklearn.metrics.tests.test_classification.test_average_precision_score_score_non_binary_class ... ok sklearn.metrics.tests.test_classification.test_average_precision_score_duplicate_values ... ok sklearn.metrics.tests.test_classification.test_average_precision_score_tied_values ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f_unused_pos_label ... ok sklearn.metrics.tests.test_classification.test_matthews_corrcoef_nan ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multilabel_1 ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multilabel_2 ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_with_an_empty_prediction ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f_extra_labels ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f_ignored_labels ... ok sklearn.metrics.tests.test_classification.test_precision_recall_fscore_support_errors ... ok sklearn.metrics.tests.test_classification.test_confusion_matrix_binary ... ok sklearn.metrics.tests.test_classification.test_cohen_kappa ... ok sklearn.metrics.tests.test_classification.test_matthews_corrcoef_against_numpy_corrcoef ... ok sklearn.metrics.tests.test_classification.test_matthews_corrcoef_against_jurman ... ok sklearn.metrics.tests.test_classification.test_matthews_corrcoef ... ok sklearn.metrics.tests.test_classification.test_matthews_corrcoef_multiclass ... ok sklearn.metrics.tests.test_classification.test_matthews_corrcoef_overflow ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multiclass ... ok sklearn.metrics.tests.test_classification.test_precision_refcall_f1_score_multilabel_unordered_labels ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_binary_averaged ... ok sklearn.metrics.tests.test_classification.test_zero_precision_recall ... ok sklearn.metrics.tests.test_classification.test_confusion_matrix_multiclass ... ok Test confusion matrix - case with sample_weight ... ok sklearn.metrics.tests.test_classification.test_confusion_matrix_multiclass_subset_labels ... ok sklearn.metrics.tests.test_classification.test_confusion_matrix_dtype ... ok sklearn.metrics.tests.test_classification.test_classification_report_multiclass ... ok sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_digits ... ok sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_string_label ... ok sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_unicode_label ... ok sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_long_string_label ... ok sklearn.metrics.tests.test_classification.test_classification_report_labels_target_names_unequal_length ... ok sklearn.metrics.tests.test_classification.test_multilabel_classification_report ... ok sklearn.metrics.tests.test_classification.test_multilabel_zero_one_loss_subset ... ok sklearn.metrics.tests.test_classification.test_multilabel_hamming_loss ... ok sklearn.metrics.tests.test_classification.test_multilabel_jaccard_similarity_score ... ok sklearn.metrics.tests.test_classification.test_precision_recall_f1_no_labels ... ok sklearn.metrics.tests.test_classification.test_prf_warnings ... ok sklearn.metrics.tests.test_classification.test_recall_warnings ... ok sklearn.metrics.tests.test_classification.test_precision_warnings ... ok sklearn.metrics.tests.test_classification.test_fscore_warnings ... ok sklearn.metrics.tests.test_classification.test_prf_average_binary_data_non_binary ... ok sklearn.metrics.tests.test_classification.test__check_targets ... ok sklearn.metrics.tests.test_classification.test__check_targets_multiclass_with_both_y_true_and_y_pred_binary ... ok sklearn.metrics.tests.test_classification.test_hinge_loss_binary ... ok sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass ... ok sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_missing_labels_with_labels_none ... ok sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_with_missing_labels ... ok sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_invariance_lists ... ok sklearn.metrics.tests.test_classification.test_log_loss ... ok sklearn.metrics.tests.test_classification.test_log_loss_pandas_input ... ok sklearn.metrics.tests.test_classification.test_brier_score_loss ... ok sklearn.metrics.tests.test_common.test_format_invariance_with_1d_vectors ... ok sklearn.metrics.tests.test_common.test_invariance_string_vs_numbers_labels ... ok sklearn.metrics.tests.test_common.test_multilabel_representation_invariance ... ok sklearn.metrics.tests.test_common.test_no_averaging_labels ... ok sklearn.metrics.tests.test_common.test_sample_order_invariance ... ok sklearn.metrics.tests.test_common.test_sample_order_invariance_multilabel_and_multioutput ... ok sklearn.metrics.tests.test_common.test_symmetry ... ok sklearn.metrics.tests.test_common.test_inf_nan_input ... ok sklearn.metrics.tests.test_common.test_single_sample('accuracy_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_accuracy_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('confusion_matrix',) ... ok sklearn.metrics.tests.test_common.test_single_sample('hamming_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('jaccard_similarity_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_jaccard_similarity_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('zero_one_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_zero_one_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('matthews_corrcoef_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('cohen_kappa_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('mean_absolute_error',) ... ok sklearn.metrics.tests.test_common.test_single_sample('mean_squared_error',) ... ok sklearn.metrics.tests.test_common.test_single_sample('median_absolute_error',) ... ok sklearn.metrics.tests.test_common.test_single_sample('explained_variance_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('r2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('mean_absolute_error',) ... ok sklearn.metrics.tests.test_common.test_single_sample('mean_squared_error',) ... ok sklearn.metrics.tests.test_common.test_single_sample('r2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('explained_variance_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('accuracy_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_accuracy_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('hamming_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('jaccard_similarity_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_jaccard_similarity_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('zero_one_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('unnormalized_zero_one_loss',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('weighted_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('macro_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('micro_recall_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('samples_f0.5_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('samples_f1_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('samples_f2_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('samples_precision_score',) ... ok sklearn.metrics.tests.test_common.test_single_sample('samples_recall_score',) ... ok sklearn.metrics.tests.test_common.test_multioutput_number_of_output_differ ... ok sklearn.metrics.tests.test_common.test_multioutput_regression_invariance_to_dimension_shuffling ... ok sklearn.metrics.tests.test_common.test_raise_value_error_multilabel_sequences ... ok sklearn.metrics.tests.test_common.test_normalize_option_binary_classification ... ok sklearn.metrics.tests.test_common.test_normalize_option_multiclass_classification ... ok sklearn.metrics.tests.test_common.test_normalize_option_multilabel_classification ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(recall_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(f1_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(f2_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(f0.5_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(recall_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(f1_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(f2_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(f0.5_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(roc_auc_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(average_precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(recall_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(f1_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(f2_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(f0.5_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(recall_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(f1_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(f2_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(f0.5_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(mean_absolute_error) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(mean_squared_error) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(explained_variance_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(r2_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(log_loss) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_log_loss) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hinge_loss) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(brier_score_loss) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(accuracy_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_accuracy_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hamming_loss) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(jaccard_similarity_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_jaccard_similarity_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(zero_one_loss) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_zero_one_loss) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(recall_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(f1_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(f2_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(f0.5_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(matthews_corrcoef_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f0.5_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f1_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f2_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_recall_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f0.5_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f1_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f2_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_recall_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f0.5_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f1_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f2_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_recall_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(cohen_kappa_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(log_loss) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_log_loss) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hinge_loss) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(accuracy_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_accuracy_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hamming_loss) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(jaccard_similarity_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_jaccard_similarity_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(zero_one_loss) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_zero_one_loss) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(matthews_corrcoef_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f0.5_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f1_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f2_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_recall_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f0.5_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f1_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f2_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_recall_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f0.5_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f1_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f2_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_recall_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(cohen_kappa_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(accuracy_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_accuracy_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hamming_loss) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(jaccard_similarity_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_jaccard_similarity_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(zero_one_loss) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_zero_one_loss) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f0.5_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f1_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f2_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_recall_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f0.5_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f1_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f2_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_recall_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f0.5_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f1_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f2_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_recall_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_f0.5_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_f1_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_f2_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_recall_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(log_loss) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_log_loss) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(roc_auc_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_roc_auc) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_roc_auc) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_roc_auc) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_roc_auc) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(average_precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_average_precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_average_precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_average_precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_average_precision_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(coverage_error) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(label_ranking_loss) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(mean_absolute_error) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(mean_squared_error) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(r2_score) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(explained_variance_score) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_distances ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_precomputed ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(, 'euclidean', {}) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(, , {'w': array([ 1., 2., 3., 4.]), 'p': 1}) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(, 'wminkowski', {'w': array([ 1., 2., 3., 4.]), 'p': 1}) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(, 'polynomial', {'degree': 1}) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(, , {'gamma': 0.1}) ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_callable_nonstrict_metric ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_kernels ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_kernels_filter_param ... ok sklearn.metrics.tests.test_pairwise.test_paired_distances ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_boolean_distance ... ok sklearn.metrics.tests.test_pairwise.test_pairwise_distances_argmin_min ... ok sklearn.metrics.tests.test_pairwise.test_euclidean_distances ... ok sklearn.metrics.tests.test_pairwise.test_cosine_distances ... ok sklearn.metrics.tests.test_pairwise.test_paired_euclidean_distances ... ok sklearn.metrics.tests.test_pairwise.test_paired_manhattan_distances ... ok sklearn.metrics.tests.test_pairwise.test_chi_square_kernel ... ok sklearn.metrics.tests.test_pairwise.test_kernel_symmetry ... ok sklearn.metrics.tests.test_pairwise.test_kernel_sparse ... ok sklearn.metrics.tests.test_pairwise.test_linear_kernel ... ok sklearn.metrics.tests.test_pairwise.test_rbf_kernel ... ok sklearn.metrics.tests.test_pairwise.test_laplacian_kernel ... ok sklearn.metrics.tests.test_pairwise.test_cosine_similarity_sparse_output ... ok sklearn.metrics.tests.test_pairwise.test_cosine_similarity ... ok sklearn.metrics.tests.test_pairwise.test_check_dense_matrices ... ok sklearn.metrics.tests.test_pairwise.test_check_XB_returned ... ok sklearn.metrics.tests.test_pairwise.test_check_different_dimensions ... ok sklearn.metrics.tests.test_pairwise.test_check_invalid_dimensions ... ok sklearn.metrics.tests.test_pairwise.test_check_sparse_arrays ... ok sklearn.metrics.tests.test_pairwise.test_check_tuple_input ... ok sklearn.metrics.tests.test_pairwise.test_check_preserve_type ... ok sklearn.metrics.tests.test_ranking.test_roc_curve ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_end_points ... ok sklearn.metrics.tests.test_ranking.test_roc_returns_consistency ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_multi ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_confidence ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_hard ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_one_label ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_toydata ... ok sklearn.metrics.tests.test_ranking.test_roc_curve_drop_intermediate ... ok sklearn.metrics.tests.test_ranking.test_auc ... ok sklearn.metrics.tests.test_ranking.test_auc_duplicate_values ... ok sklearn.metrics.tests.test_ranking.test_auc_errors ... ok sklearn.metrics.tests.test_ranking.test_auc_score_non_binary_class ... ok sklearn.metrics.tests.test_ranking.test_binary_clf_curve ... ok sklearn.metrics.tests.test_ranking.test_precision_recall_curve ... ok sklearn.metrics.tests.test_ranking.test_precision_recall_curve_pos_label ... ok sklearn.metrics.tests.test_ranking.test_precision_recall_curve_errors ... ok sklearn.metrics.tests.test_ranking.test_precision_recall_curve_toydata ... ok sklearn.metrics.tests.test_ranking.test_average_precision_constant_values ... ok sklearn.metrics.tests.test_ranking.test_score_scale_invariance ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(,) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 2, 1, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 5, 1, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 10, 1, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 2, 2, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 5, 2, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 10, 2, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 2, 8, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 5, 8, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 10, 8, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 2, 20, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 5, 20, 0) ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_avp(, 10, 20, 0) ... ok sklearn.metrics.tests.test_ranking.test_coverage_error ... ok sklearn.metrics.tests.test_ranking.test_coverage_tie_handling ... ok sklearn.metrics.tests.test_ranking.test_label_ranking_loss ... ok sklearn.metrics.tests.test_ranking.test_ranking_appropriate_input_shape ... ok sklearn.metrics.tests.test_ranking.test_ranking_loss_ties_handling ... ok sklearn.metrics.tests.test_regression.test_regression_metrics ... ok sklearn.metrics.tests.test_regression.test_multioutput_regression ... ok sklearn.metrics.tests.test_regression.test_regression_metrics_at_limits ... ok sklearn.metrics.tests.test_regression.test__check_reg_targets ... ok sklearn.metrics.tests.test_regression.test__check_reg_targets_exception ... ok sklearn.metrics.tests.test_regression.test_regression_multioutput_array ... ok sklearn.metrics.tests.test_regression.test_regression_custom_weights ... ok /usr/lib/python3/dist-packages/nose/util.py:453: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() or inspect.getfullargspec() inspect.getargspec(func) sklearn.metrics.tests.test_score_objects.test_all_scorers_repr ... ok sklearn.metrics.tests.test_score_objects.test_check_scoring_and_check_multimetric_scoring ... ok sklearn.metrics.tests.test_score_objects.test_check_scoring_gridsearchcv ... ok sklearn.metrics.tests.test_score_objects.test_make_scorer ... ok sklearn.metrics.tests.test_score_objects.test_classification_scores ... ok sklearn.metrics.tests.test_score_objects.test_raises_on_score_list ... ok sklearn.metrics.tests.test_score_objects.test_scorer_sample_weight ... ok sklearn.metrics.tests.test_score_objects.test_regression_scorers ... ok sklearn.metrics.tests.test_score_objects.test_thresholded_scorers ... ok sklearn.metrics.tests.test_score_objects.test_thresholded_scorers_multilabel_indicator_data ... ok sklearn.metrics.tests.test_score_objects.test_supervised_cluster_scorers ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('explained_variance',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('r2',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_median_absolute_error',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_mean_absolute_error',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_mean_squared_error',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_mean_squared_log_error',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('median_absolute_error',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mean_absolute_error',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mean_squared_error',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('accuracy',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('roc_auc',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('average_precision',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('log_loss',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_log_loss',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('adjusted_rand_score',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('homogeneity_score',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('completeness_score',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('v_measure_score',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mutual_info_score',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('adjusted_mutual_info_score',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('normalized_mutual_info_score',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('fowlkes_mallows_score',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_macro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_micro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_samples',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_weighted',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_macro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_micro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_samples',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_weighted',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_macro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_micro',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_samples',) ... ok sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_weighted',) ... ok sklearn.metrics.tests.test_score_objects.test_deprecated_names ... ok sklearn.metrics.tests.test_score_objects.test_scoring_is_not_metric ... ok /usr/lib/python3/dist-packages/nose/util.py:453: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() or inspect.getfullargspec() inspect.getargspec(func) sklearn.mixture.tests.test_bayesian_mixture.test_log_dirichlet_norm ... ok sklearn.mixture.tests.test_bayesian_mixture.test_log_wishart_norm ... ok sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_covariance_type ... ok sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_weight_concentration_prior_type ... ok sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_weights_prior_initialisation ... ok sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_means_prior_initialisation ... ok sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_precisions_prior_initialisation ... ok sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_check_is_fitted ... ok sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_weights ... ok sklearn.mixture.tests.test_bayesian_mixture.test_check_covariance_precision ... ok sklearn.mixture.tests.test_bayesian_mixture.test_invariant_translation ... ok sklearn.mixture.tests.test_bayesian_mixture.test_monotonic_likelihood ... ok sklearn.mixture.tests.test_bayesian_mixture.test_compare_covar_type ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp v = np.exp(v - out) ok test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok sklearn.mixture.tests.test_dpgmm.test_VBGMM_deprecation ... ok sklearn.mixture.tests.test_dpgmm.test_vbgmm_no_modify_alpha ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class VBGMM is deprecated; The `VBGMM` class is not working correctly and it's better to use `sklearn.mixture.BayesianGaussianMixture` class with parameter `weight_concentration_prior_type='dirichlet_distribution'` instead. VBGMM is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function digamma is deprecated; The function digamma is deprecated in 0.18 and will be removed in 0.20. Use scipy.special.digamma instead. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_normalize is deprecated; The function log_normalize is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function gammaln is deprecated; The function gammaln is deprecated in 0.18 and will be removed in 0.20. Use scipy.special.gammaln instead. warnings.warn(msg, category=DeprecationWarning) ok sklearn.mixture.tests.test_dpgmm.test_DPGMM_deprecation ... ok sklearn.mixture.tests.test_dpgmm.test_class_weights ... ok sklearn.mixture.tests.test_dpgmm.test_digamma ... ok sklearn.mixture.tests.test_dpgmm.test_gammaln ... ok sklearn.mixture.tests.test_dpgmm.test_log_normalize ... ok sklearn.mixture.tests.test_dpgmm.test_verbose_boolean ... ok sklearn.mixture.tests.test_dpgmm.test_verbose_first_level ... ok sklearn.mixture.tests.test_dpgmm.test_verbose_second_level ... ok sklearn.mixture.tests.test_dpgmm.test_wishart_log_det ... ok sklearn.mixture.tests.test_dpgmm.test_wishart_logz ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_attributes ... ok sklearn.mixture.tests.test_gaussian_mixture.test_check_X ... ok sklearn.mixture.tests.test_gaussian_mixture.test_check_weights ... ok sklearn.mixture.tests.test_gaussian_mixture.test_check_means ... ok sklearn.mixture.tests.test_gaussian_mixture.test_check_precisions ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gaussian_mixture.py:667: RuntimeWarning: underflow encountered in exp _estimate_gaussian_parameters(X, np.exp(log_resp), self.reg_covar, /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gaussian_mixture.py:167: RuntimeWarning: underflow encountered in multiply covariances[k] = np.dot(resp[:, k] * diff.T, diff) / nk[k] ok sklearn.mixture.tests.test_gaussian_mixture.test_init ... ok sklearn.mixture.tests.test_gaussian_mixture.test_suffstat_sk_full ... ok sklearn.mixture.tests.test_gaussian_mixture.test_suffstat_sk_tied ... ok sklearn.mixture.tests.test_gaussian_mixture.test_suffstat_sk_diag ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_suffstat_sk_spherical ... ok sklearn.mixture.tests.test_gaussian_mixture.test_compute_log_det_cholesky ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_log_probabilities ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_estimate_log_prob_resp ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_predict_predict_proba ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_fit ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_fit_best_params ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_fit_convergence_warning ... ok sklearn.mixture.tests.test_gaussian_mixture.test_multiple_init ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_n_parameters ... ok sklearn.mixture.tests.test_gaussian_mixture.test_bic_1d_1component ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_aic_bic ... ok sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_verbose ... ok sklearn.mixture.tests.test_gaussian_mixture.test_warm_start ... ok sklearn.mixture.tests.test_gaussian_mixture.test_score ... ok sklearn.mixture.tests.test_gaussian_mixture.test_score_samples ... ok sklearn.mixture.tests.test_gaussian_mixture.test_monotonic_likelihood ... ok sklearn.mixture.tests.test_gaussian_mixture.test_regularisation ... ok sklearn.mixture.tests.test_gaussian_mixture.test_property ... ok sklearn.mixture.tests.test_gaussian_mixture.test_sample ... ok test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) ok test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok test_train (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) ok test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) ok test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok test_train (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) ok test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) ok test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok test_train (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) ok test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: RuntimeWarning: underflow encountered in exp tmp = np.exp(a - a_max) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp responsibilities = np.exp(lpr - logprob[:, np.newaxis]) ok test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok test_train (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) ok test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok sklearn.mixture.tests.test_gmm.test_sample_gaussian ... ok sklearn.mixture.tests.test_gmm.test_lmvnpdf_diag ... ok sklearn.mixture.tests.test_gmm.test_lmvnpdf_spherical ... ok sklearn.mixture.tests.test_gmm.test_lmvnpdf_full ... ok sklearn.mixture.tests.test_gmm.test_lvmpdf_full_cv_non_positive_definite ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) ok sklearn.mixture.tests.test_gmm.test_1d_1component ... ok sklearn.mixture.tests.test_gmm.test_GMM_attributes ... ok sklearn.mixture.tests.test_gmm.test_aic ... ok test that gmm.fit_predict is equivalent to gmm.fit + gmm.predict ... ok sklearn.mixture.tests.test_gmm.test_multiple_init ... ok sklearn.mixture.tests.test_gmm.test_n_parameters ... ok sklearn.mixture.tests.test_gmm.test_verbose_first_level ... ok sklearn.mixture.tests.test_gmm.test_verbose_second_level ... ok sklearn.mixture.tests.test_gmm.test_positive_definite_covars('full',) ... ok sklearn.mixture.tests.test_gmm.test_positive_definite_covars('tied',) ... ok sklearn.mixture.tests.test_gmm.test_positive_definite_covars('diag',) ... ok sklearn.mixture.tests.test_gmm.test_positive_definite_covars('spherical',) ... ok sklearn.model_selection.tests.test_search.test_parameter_grid ... ok sklearn.model_selection.tests.test_search.test_grid_search ... [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s [Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s [Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished ok sklearn.model_selection.tests.test_search.test_grid_search_with_fit_params ... ok sklearn.model_selection.tests.test_search.test_random_search_with_fit_params ... ok sklearn.model_selection.tests.test_search.test_grid_search_fit_params_deprecation ... ok sklearn.model_selection.tests.test_search.test_grid_search_fit_params_two_places ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_search.py:584: DeprecationWarning: "fit_params" as a constructor argument was deprecated in version 0.19 and will be removed in version 0.21. Pass fit parameters to the "fit" method instead. '"fit" method instead.', DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_search.py:588: RuntimeWarning: Ignoring fit_params passed as a constructor argument in favor of keyword arguments to the "fit" method. 'the "fit" method.', RuntimeWarning) ok sklearn.model_selection.tests.test_search.test_grid_search_no_score ... ok sklearn.model_selection.tests.test_search.test_pandas_input ... ok sklearn.model_selection.tests.test_search.test_refit ... ok sklearn.model_selection.tests.test_search.test_search_cv_timing ... ok sklearn.model_selection.tests.test_search.test_grid_search_score_method ... ok sklearn.model_selection.tests.test_search.test_grid_search_groups ... ok sklearn.model_selection.tests.test_search.test_return_train_score_warn ... ok sklearn.model_selection.tests.test_search.test_classes__property ... ok sklearn.model_selection.tests.test_search.test_trivial_cv_results_attr ... ok sklearn.model_selection.tests.test_search.test_no_refit ... ok sklearn.model_selection.tests.test_search.test_grid_search_error ... ok sklearn.model_selection.tests.test_search.test_grid_search_one_grid_point ... ok sklearn.model_selection.tests.test_search.test_grid_search_when_param_grid_includes_range ... ok sklearn.model_selection.tests.test_search.test_grid_search_bad_param_grid ... ok sklearn.model_selection.tests.test_search.test_grid_search_sparse ... ok sklearn.model_selection.tests.test_search.test_grid_search_sparse_scoring ... ok sklearn.model_selection.tests.test_search.test_grid_search_precomputed_kernel ... ok sklearn.model_selection.tests.test_search.test_grid_search_precomputed_kernel_error_nonsquare ... ok sklearn.model_selection.tests.test_search.test_gridsearch_nd ... ok sklearn.model_selection.tests.test_search.test_X_as_list ... ok sklearn.model_selection.tests.test_search.test_y_as_list ... ok sklearn.model_selection.tests.test_search.test_unsupervised_grid_search ... ok sklearn.model_selection.tests.test_search.test_gridsearch_no_predict ... ok sklearn.model_selection.tests.test_search.test_param_sampler ... ok sklearn.model_selection.tests.test_search.test_grid_search_cv_results ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) ok sklearn.model_selection.tests.test_search.test_random_search_cv_results ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) ok sklearn.model_selection.tests.test_search.test_search_iid_param ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) ok sklearn.model_selection.tests.test_search.test_grid_search_cv_results_multimetric ... ok sklearn.model_selection.tests.test_search.test_random_search_cv_results_multimetric ... ok sklearn.model_selection.tests.test_search.test_search_cv_results_rank_tie_breaking ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) ok sklearn.model_selection.tests.test_search.test_search_cv_results_none_param ... ok sklearn.model_selection.tests.test_search.test_grid_search_correct_score_results ... ok sklearn.model_selection.tests.test_search.test_fit_grid_point ... ok sklearn.model_selection.tests.test_search.test_pickle ... ok sklearn.model_selection.tests.test_search.test_grid_search_with_multioutput_data ... ok sklearn.model_selection.tests.test_search.test_predict_proba_disabled ... ok sklearn.model_selection.tests.test_search.test_grid_search_allows_nans ... ok sklearn.model_selection.tests.test_search.test_grid_search_failing_classifier ... ok sklearn.model_selection.tests.test_search.test_grid_search_failing_classifier_raise ... ok sklearn.model_selection.tests.test_search.test_parameters_sampler_replacement ... ok sklearn.model_selection.tests.test_search.test_stochastic_gradient_loss_param ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: underflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) ok sklearn.model_selection.tests.test_search.test_search_train_scores_set_to_false ... ok sklearn.model_selection.tests.test_search.test_grid_search_cv_splits_consistency ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split3_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split4_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split3_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split4_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) ok sklearn.model_selection.tests.test_search.test_transform_inverse_transform_round_trip ... [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s [Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s [Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished ok sklearn.model_selection.tests.test_split.test_2d_y ... ok sklearn.model_selection.tests.test_split.test_kfold_valueerrors ... ok sklearn.model_selection.tests.test_split.test_cross_validator_with_default_params ... ok sklearn.model_selection.tests.test_split.test_repeated_cv_value_errors ... ok sklearn.model_selection.tests.test_split.test_shufflesplit_errors ... ok sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_init ... ok sklearn.model_selection.tests.test_split.train_test_split_pandas ... ok sklearn.model_selection.tests.test_split.test_kfold_indices ... ok sklearn.model_selection.tests.test_split.test_kfold_no_shuffle ... ok sklearn.model_selection.tests.test_split.test_stratified_kfold_no_shuffle ... ok sklearn.model_selection.tests.test_split.test_stratified_kfold_ratios ... ok sklearn.model_selection.tests.test_split.test_kfold_balance ... ok sklearn.model_selection.tests.test_split.test_stratifiedkfold_balance ... ok sklearn.model_selection.tests.test_split.test_shuffle_kfold ... ok sklearn.model_selection.tests.test_split.test_shuffle_kfold_stratifiedkfold_reproducibility ... /usr/lib/python3/dist-packages/numpy/testing/utils.py:761: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future. val = comparison(x, y) ok sklearn.model_selection.tests.test_split.test_shuffle_stratifiedkfold ... ok sklearn.model_selection.tests.test_split.test_kfold_can_detect_dependent_samples_on_digits ... ok sklearn.model_selection.tests.test_split.test_shuffle_split ... ok sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_respects_test_size ... ok sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_iter ... ok sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_even ... ok sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_overlap_train_test_bug ... ok sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_multilabel ... ok sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_multilabel_many_labels ... ok sklearn.model_selection.tests.test_split.test_predefinedsplit_with_kfold_split ... ok sklearn.model_selection.tests.test_split.test_group_shuffle_split ... ok sklearn.model_selection.tests.test_split.test_leave_one_p_group_out ... ok sklearn.model_selection.tests.test_split.test_leave_group_out_changing_groups ... ok sklearn.model_selection.tests.test_split.test_leave_one_p_group_out_error_on_fewer_number_of_groups ... ok sklearn.model_selection.tests.test_split.test_repeated_kfold_determinstic_split ... ok sklearn.model_selection.tests.test_split.test_get_n_splits_for_repeated_kfold ... ok sklearn.model_selection.tests.test_split.test_get_n_splits_for_repeated_stratified_kfold ... ok sklearn.model_selection.tests.test_split.test_repeated_stratified_kfold_determinstic_split ... ok sklearn.model_selection.tests.test_split.test_train_test_split_errors ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_split.py:2026: FutureWarning: From version 0.21, test_size will always complement train_size unless both are specified. FutureWarning) ok sklearn.model_selection.tests.test_split.test_train_test_split ... ok sklearn.model_selection.tests.test_split.train_test_split_sparse ... ok sklearn.model_selection.tests.test_split.train_test_split_mock_pandas ... ok sklearn.model_selection.tests.test_split.train_test_split_list_input ... ok sklearn.model_selection.tests.test_split.test_shufflesplit_reproducible ... ok sklearn.model_selection.tests.test_split.test_stratifiedshufflesplit_list_input ... ok sklearn.model_selection.tests.test_split.test_train_test_split_allow_nans ... ok sklearn.model_selection.tests.test_split.test_check_cv ... ok sklearn.model_selection.tests.test_split.test_cv_iterable_wrapper ... ok sklearn.model_selection.tests.test_split.test_group_kfold ... ok sklearn.model_selection.tests.test_split.test_time_series_cv ... ok sklearn.model_selection.tests.test_split.test_time_series_max_train_size ... ok sklearn.model_selection.tests.test_split.test_nested_cv ... ok sklearn.model_selection.tests.test_split.test_train_test_default_warning ... ok sklearn.model_selection.tests.test_split.test_build_repr ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score ... ok sklearn.model_selection.tests.test_validation.test_cross_validate_invalid_scoring_param ... ok sklearn.model_selection.tests.test_validation.test_cross_validate(Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None, ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_r2'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) ok sklearn.model_selection.tests.test_validation.test_cross_validate(Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None, ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_r2'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_neg_mean_squared_error'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_r2'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_neg_mean_squared_error'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) ok sklearn.model_selection.tests.test_validation.test_cross_validate(Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None, ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_r2'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) ok sklearn.model_selection.tests.test_validation.test_cross_validate(Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None, ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_r2'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_neg_mean_squared_error'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_r2'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_neg_mean_squared_error'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True warnings.warn(*warn_args, **warn_kwargs) ok sklearn.model_selection.tests.test_validation.test_cross_validate_return_train_score_warn ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_predict_groups ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_pandas ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_mask ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_precomputed ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_fit_params ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_score_func ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_errors ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_with_score_func_classification ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_with_score_func_regression ... ok sklearn.model_selection.tests.test_validation.test_permutation_score ... ok sklearn.model_selection.tests.test_validation.test_permutation_test_score_allow_nans ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_allow_nans ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_multilabel ... ok sklearn.model_selection.tests.test_validation.test_cross_val_predict ... ok sklearn.model_selection.tests.test_validation.test_cross_val_predict_decision_function_shape ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (1) does not match total number of classes (2). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds RuntimeWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (7) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds RuntimeWarning) ok sklearn.model_selection.tests.test_validation.test_cross_val_predict_predict_proba_shape ... ok sklearn.model_selection.tests.test_validation.test_cross_val_predict_predict_log_proba_shape ... ok sklearn.model_selection.tests.test_validation.test_cross_val_predict_input_types ... ok sklearn.model_selection.tests.test_validation.test_cross_val_predict_pandas ... ok sklearn.model_selection.tests.test_validation.test_cross_val_score_sparse_fit_params ... ok sklearn.model_selection.tests.test_validation.test_learning_curve ... ok sklearn.model_selection.tests.test_validation.test_learning_curve_unsupervised ... ok sklearn.model_selection.tests.test_validation.test_learning_curve_verbose ... [Parallel(n_jobs=1)]: Done 15 out of 15 | elapsed: 0.0s finished ok sklearn.model_selection.tests.test_validation.test_learning_curve_incremental_learning_not_possible ... ok sklearn.model_selection.tests.test_validation.test_learning_curve_incremental_learning ... ok sklearn.model_selection.tests.test_validation.test_learning_curve_incremental_learning_unsupervised ... ok sklearn.model_selection.tests.test_validation.test_learning_curve_batch_and_incremental_learning_are_equal ... ok sklearn.model_selection.tests.test_validation.test_learning_curve_n_sample_range_out_of_bounds ... ok sklearn.model_selection.tests.test_validation.test_learning_curve_remove_duplicate_sample_sizes ... ok sklearn.model_selection.tests.test_validation.test_learning_curve_with_boolean_indices ... ok sklearn.model_selection.tests.test_validation.test_learning_curve_with_shuffle ... ok sklearn.model_selection.tests.test_validation.test_validation_curve ... ok sklearn.model_selection.tests.test_validation.test_validation_curve_clone_estimator ... ok sklearn.model_selection.tests.test_validation.test_validation_curve_cv_splits_consistency ... ok sklearn.model_selection.tests.test_validation.test_check_is_permutation ... ok sklearn.model_selection.tests.test_validation.test_cross_val_predict_sparse_prediction ... ok sklearn.model_selection.tests.test_validation.test_cross_val_predict_with_method ... ok sklearn.model_selection.tests.test_validation.test_cross_val_predict_method_checking ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp np.exp(prob, prob) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) ok sklearn.model_selection.tests.test_validation.test_gridsearchcv_cross_val_predict_with_method ... ok sklearn.model_selection.tests.test_validation.test_cross_val_predict_class_subset ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (7) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds RuntimeWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (8) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds RuntimeWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (7) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds RuntimeWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (8) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds RuntimeWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (8) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds RuntimeWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (8) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds RuntimeWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (8) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds RuntimeWarning) ok sklearn.model_selection.tests.test_validation.test_score_memmap ... ok sklearn.model_selection.tests.test_validation.test_permutation_test_score_pandas ... ok sklearn.neighbors.tests.test_approximate.test_lsh_forest_deprecation ... ok sklearn.neighbors.tests.test_approximate.test_neighbors_accuracy_with_n_candidates ... ok sklearn.neighbors.tests.test_approximate.test_neighbors_accuracy_with_n_estimators ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/approximate.py:291: UserWarning: Number of candidates is not sufficient to retrieve 5 neighbors with min_hash_match = 4. Candidates are filled up uniformly from unselected indices. " indices." % (n_neighbors, self.min_hash_match)) ok sklearn.neighbors.tests.test_approximate.test_radius_neighbors ... ok sklearn.neighbors.tests.test_approximate.test_kneighbors ... ok sklearn.neighbors.tests.test_approximate.test_radius_neighbors_boundary_handling ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (2 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok sklearn.neighbors.tests.test_approximate.test_distances ... ok sklearn.neighbors.tests.test_approximate.test_fit ... ok sklearn.neighbors.tests.test_approximate.test_partial_fit ... ok sklearn.neighbors.tests.test_approximate.test_hash_functions ... ok sklearn.neighbors.tests.test_approximate.test_candidates ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/approximate.py:291: UserWarning: Number of candidates is not sufficient to retrieve 3 neighbors with min_hash_match = 32. Candidates are filled up uniformly from unselected indices. " indices." % (n_neighbors, self.min_hash_match)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/approximate.py:291: UserWarning: Number of candidates is not sufficient to retrieve 5 neighbors with min_hash_match = 31. Candidates are filled up uniformly from unselected indices. " indices." % (n_neighbors, self.min_hash_match)) ok sklearn.neighbors.tests.test_approximate.test_graphs ... ok sklearn.neighbors.tests.test_approximate.test_sparse_input ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'euclidean', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'manhattan', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'chebyshev', {}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'seuclidean', {'V': array([ 0.08833981, 0.68535982, 0.95339335])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'wminkowski', {'p': 3, 'w': array([ 0.00394827, 0.51219226, 0.81262096])}) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'mahalanobis', {'V': array([[ 0.99687626, 0.73035488, 0.27570925], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('matching',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('jaccard',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('dice',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('kulsinski',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('rogerstanimoto',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('russellrao',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('sokalmichener',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('sokalsneath',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_discrete_metrics('hamming',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_discrete_metrics('canberra',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_discrete_metrics('braycurtis',) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_radius ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_radius_distance ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_ball_tree.py:145: RuntimeWarning: underflow encountered in exp return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1) sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 0, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 0, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 1e-05, True, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 1e-05, False, , array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_ball_tree.test_gaussian_kde ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_ball_tree.py:201: RuntimeWarning: underflow encountered in exp dens_bt = bt.kernel_density(x_out[:, None], h) / n_samples /usr/lib/python3/dist-packages/scipy/stats/kde.py:222: RuntimeWarning: underflow encountered in exp result[i] = sum(exp(-energy), axis=0) ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_two_point(array([ 0. , 0.11111111, 0.22222222, 0.33333333, 0.44444444, ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_two_point(array([ 0. , 0.11111111, 0.22222222, 0.33333333, 0.44444444, ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_pickle(0,) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_pickle(1,) ... ok sklearn.neighbors.tests.test_ball_tree.test_ball_tree_pickle(2,) ... ok sklearn.neighbors.tests.test_ball_tree.test_neighbors_heap ... ok sklearn.neighbors.tests.test_ball_tree.test_node_heap ... ok sklearn.neighbors.tests.test_ball_tree.test_simultaneous_sort ... ok sklearn.neighbors.tests.test_ball_tree.test_query_haversine ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('euclidean', {}, array([[ 0.67507694, 0.64211239, 0.37730269, 0.63475751, 0.9096805 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('cityblock', {}, array([[ 1.21796151, 0.99804582, 0.64796144, 1.09320258, 1.49914561, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 1}, array([[ 1.21796151, 0.99804582, 0.64796144, 1.09320258, 1.49914561, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 1.5}, array([[ 0.8092389 , 0.73433834, 0.44607985, 0.75978393, 1.06004733, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 2}, array([[ 0.67507694, 0.64211239, 0.37730269, 0.63475751, 0.9096805 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 3}, array([[ 0.58384805, 0.56795898, 0.32594322, 0.53204405, 0.79637583, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('chebyshev', {}, array([[ 0.53861588, 0.45094267, 0.28419442, 0.41701564, 0.69508182, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('seuclidean', {'V': array([ 0.22741463, 0.25435648, 0.05802916, 0.43441663])}, array([[ 2.37482514, 1.1721197 , 1.26879784, 1.66071271, 1.85983097, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('wminkowski', {'p': 1, 'w': array([ 0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[ 0.51149072, 0.42978945, 0.28691315, 0.31414856, 0.67822857, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('wminkowski', {'p': 1.5, 'w': array([ 0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[ 0.35478506, 0.34649572, 0.21080154, 0.22142038, 0.53671639, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('wminkowski', {'p': 3, 'w': array([ 0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[ 0.26214981, 0.3151016 , 0.16585854, 0.16045352, 0.48619498, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('mahalanobis', {'VI': array([[ 0.80314541, 0.98494408, 0.59389881, 1.16113843], ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('hamming', {}, array([[ 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('canberra', {}, array([[ 1.45964409, 1.25116805, 0.56385105, 1.46151151, 2.11940325, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('braycurtis', {}, array([[ 0.31225657, 0.25850558, 0.13215958, 0.29289755, 0.38919585, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('matching', array([[ 0.75, 0.5 , 0.25, 0.75, 0.5 , 0.25, 0.25, 0.5 , 0.5 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('jaccard', array([[ 0.75 , 0.5 , 0.25 , 0.75 , 0.5 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('dice', array([[ 0.6 , 0.33333333, 0.14285714, 0.6 , 0.33333333, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('kulsinski', array([[ 0.85714286, 0.66666667, 0.4 , 0.85714286, 0.66666667, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('rogerstanimoto', array([[ 0.85714286, 0.66666667, 0.4 , 0.85714286, 0.66666667, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('russellrao', array([[ 0.75, 0.5 , 0.25, 0.75, 0.5 , 0.25, 0.25, 0.5 , 0.5 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('sokalmichener', array([[ 0.85714286, 0.66666667, 0.4 , 0.85714286, 0.66666667, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('sokalsneath', array([[ 0.85714286, 0.66666667, 0.4 , 0.85714286, 0.66666667, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('euclidean', {}, array([[ 0. , 0.40997835, 0.5640201 , 0.73274389, 0.65549553, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('cityblock', {}, array([[ 0. , 0.70651994, 0.95154703, 1.21911953, 1.14654793, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 1}, array([[ 0. , 0.70651994, 0.95154703, 1.21911953, 1.14654793, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 1.5}, array([[ 0. , 0.48135148, 0.66512238, 0.85934453, 0.77585798, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 2}, array([[ 0. , 0.40997835, 0.5640201 , 0.73274389, 0.65549553, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 3}, array([[ 0. , 0.36478684, 0.48581161, 0.63461015, 0.57396051, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('chebyshev', {}, array([[ 0. , 0.34688982, 0.41484926, 0.53172732, 0.52859511, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('seuclidean', {'V': array([ 0.22741463, 0.25435648, 0.05802916, 0.43441663])}, array([[ 0. , 0.91374016, 1.34363768, 2.35165824, 1.43398969, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('wminkowski', {'p': 1, 'w': array([ 0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[ 0. , 0.21197555, 0.43461091, 0.43558715, 0.37123525, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('wminkowski', {'p': 1.5, 'w': array([ 0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[ 0. , 0.13471566, 0.31498027, 0.30704769, 0.24525516, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('wminkowski', {'p': 3, 'w': array([ 0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[ 0. , 0.08691326, 0.24582898, 0.2276954 , 0.1766636 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('mahalanobis', {'VI': array([[ 0.80314541, 0.98494408, 0.59389881, 1.16113843], ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('hamming', {}, array([[ 0., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('canberra', {}, array([[ 0. , 0.57984003, 0.72664541, 1.65888213, 1.36160847, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('braycurtis', {}, array([[ 0. , 0.14686859, 0.1873355 , 0.30002036, 0.23338654, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('matching', array([[ 0. , 0.5 , 0.25, 0.5 , 0.25, 0.25, 0.5 , 0.5 , 0.5 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('jaccard', array([[ 0. , 0.5 , 0.25 , 0.5 , 0.25 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('dice', array([[ 0. , 0.33333333, 0.14285714, 0.33333333, 0.14285714, ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('kulsinski', array([[ 0. , 0.66666667, 0.4 , 0.66666667, 0.4 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('rogerstanimoto', array([[ 0. , 0.66666667, 0.4 , 0.66666667, 0.4 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('russellrao', array([[ 0. , 0.5 , 0.25, 0.5 , 0.25, 0.25, 0.5 , 0.5 , 0.5 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('sokalmichener', array([[ 0. , 0.66666667, 0.4 , 0.66666667, 0.4 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('sokalsneath', array([[ 0. , 0.66666667, 0.4 , 0.66666667, 0.4 , ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('euclidean', {}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('cityblock', {}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 1}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 1.5}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 2}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 3}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('chebyshev', {}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('seuclidean', {'V': array([ 0.22741463, 0.25435648, 0.05802916, 0.43441663])}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('wminkowski', {'p': 1, 'w': array([ 0.31179588, 0.69634349, 0.37775184, 0.17960368])}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('wminkowski', {'p': 1.5, 'w': array([ 0.31179588, 0.69634349, 0.37775184, 0.17960368])}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('wminkowski', {'p': 3, 'w': array([ 0.31179588, 0.69634349, 0.37775184, 0.17960368])}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('mahalanobis', {'VI': array([[ 0.80314541, 0.98494408, 0.59389881, 1.16113843], ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('hamming', {}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('canberra', {}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('braycurtis', {}) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('matching',) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('jaccard',) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('dice',) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('kulsinski',) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('rogerstanimoto',) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('russellrao',) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('sokalmichener',) ... ok sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('sokalsneath',) ... ok sklearn.neighbors.tests.test_dist_metrics.test_haversine_metric ... ok sklearn.neighbors.tests.test_dist_metrics.test_pyfunc_metric ... ok sklearn.neighbors.tests.test_dist_metrics.test_bad_pyfunc_metric ... ok sklearn.neighbors.tests.test_dist_metrics.test_input_data_size ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'euclidean', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'manhattan', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'chebyshev', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'minkowski', array([[ 0.5488135 , 0.71518937, 0.60276338], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query_radius ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query_radius_distance ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kd_tree.py:98: RuntimeWarning: underflow encountered in exp return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1) sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 0, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 0, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 1e-05, True, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 1e-05, False, array([[ 0.9065555 , 0.77404733, 0.33314515], ... ok sklearn.neighbors.tests.test_kd_tree.test_gaussian_kde ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kd_tree.py:153: RuntimeWarning: underflow encountered in exp dens_kdt = kdt.kernel_density(x_out[:, None], h) / n_samples ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_two_point(array([ 0. , 0.11111111, 0.22222222, 0.33333333, 0.44444444, ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_two_point(array([ 0. , 0.11111111, 0.22222222, 0.33333333, 0.44444444, ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_pickle(0,) ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_pickle(1,) ... ok sklearn.neighbors.tests.test_kd_tree.test_kd_tree_pickle(2,) ... ok sklearn.neighbors.tests.test_kd_tree.test_neighbors_heap ... ok sklearn.neighbors.tests.test_kd_tree.test_node_heap ... ok sklearn.neighbors.tests.test_kd_tree.test_simultaneous_sort ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kde.py:17: RuntimeWarning: underflow encountered in exp return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kde.py:17: RuntimeWarning: underflow encountered in multiply return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1) sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kde.py:36: RuntimeWarning: underflow encountered in exp assert_allclose(np.exp(log_dens), dens_true, /usr/lib/python3/dist-packages/numpy/core/numeric.py:2524: RuntimeWarning: underflow encountered in multiply result = less_equal(abs(x-y), atol + rtol * abs(y)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kde.py:38: RuntimeWarning: underflow encountered in exp assert_allclose(np.exp(kde.score(Y)), ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok sklearn.neighbors.tests.test_kde.test_kernel_density_sampling ... ok sklearn.neighbors.tests.test_kde.test_kde_algorithm_metric_choice ... ok sklearn.neighbors.tests.test_kde.test_kde_score ... ok sklearn.neighbors.tests.test_kde.test_kde_badargs ... ok sklearn.neighbors.tests.test_kde.test_kde_pipeline_gridsearch ... ok sklearn.neighbors.tests.test_lof.test_lof ... ok sklearn.neighbors.tests.test_lof.test_lof_performance ... ok sklearn.neighbors.tests.test_lof.test_lof_values ... ok Tests LOF with a distance matrix. ... ok sklearn.neighbors.tests.test_lof.test_n_neighbors_attribute ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (500) is greater than the total number of samples (150). n_neighbors will be set to (n_samples - 1) for estimation. % (self.n_neighbors, n_samples)) ok sklearn.neighbors.tests.test_nearest_centroid.test_classification_toy ... ok sklearn.neighbors.tests.test_nearest_centroid.test_precomputed ... ok sklearn.neighbors.tests.test_nearest_centroid.test_iris ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/nearest_centroid.py:140: UserWarning: Averaging for metrics other than euclidean and manhattan not supported. The average is set to be the mean. warnings.warn("Averaging for metrics other than " ok sklearn.neighbors.tests.test_nearest_centroid.test_iris_shrinkage ... ok sklearn.neighbors.tests.test_nearest_centroid.test_pickle ... ok sklearn.neighbors.tests.test_nearest_centroid.test_shrinkage_correct ... ok sklearn.neighbors.tests.test_nearest_centroid.test_shrinkage_threshold_decoded_y ... ok sklearn.neighbors.tests.test_nearest_centroid.test_predict_translated_data ... ok sklearn.neighbors.tests.test_nearest_centroid.test_manhattan_metric ... ok sklearn.neighbors.tests.test_neighbors.test_unsupervised_kneighbors ... ok sklearn.neighbors.tests.test_neighbors.test_unsupervised_inputs ... ok Tests unsupervised NearestNeighbors with a distance matrix. ... ok sklearn.neighbors.tests.test_neighbors.test_precomputed_cross_validation ... ok sklearn.neighbors.tests.test_neighbors.test_unsupervised_radius_neighbors ... ok sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier ... ok sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier_float_labels ... ok sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier_predict_proba ... ok sklearn.neighbors.tests.test_neighbors.test_pairwise_boolean_distance ... ok sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier ... ok sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier_when_no_neighbors ... ok sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier_outlier_labeling ... ok sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier_zero_distance ... ok sklearn.neighbors.tests.test_neighbors.test_neighbors_regressors_zero_distance ... ok Test whether points lying on boundary are handled consistently ... ok sklearn.neighbors.tests.test_neighbors.test_RadiusNeighborsClassifier_multioutput ... ok sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier_sparse ... ok sklearn.neighbors.tests.test_neighbors.test_KNeighborsClassifier_multioutput ... ok sklearn.neighbors.tests.test_neighbors.test_kneighbors_regressor ... ok sklearn.neighbors.tests.test_neighbors.test_KNeighborsRegressor_multioutput_uniform_weight ... ok sklearn.neighbors.tests.test_neighbors.test_kneighbors_regressor_multioutput ... ok sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_regressor ... ok sklearn.neighbors.tests.test_neighbors.test_RadiusNeighborsRegressor_multioutput_with_uniform_weight ... ok sklearn.neighbors.tests.test_neighbors.test_RadiusNeighborsRegressor_multioutput ... ok sklearn.neighbors.tests.test_neighbors.test_kneighbors_regressor_sparse ... ok sklearn.neighbors.tests.test_neighbors.test_neighbors_iris ... ok sklearn.neighbors.tests.test_neighbors.test_neighbors_digits ... ok sklearn.neighbors.tests.test_neighbors.test_kneighbors_graph ... ok sklearn.neighbors.tests.test_neighbors.test_kneighbors_graph_sparse ... ok sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_graph ... ok sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_graph_sparse ... ok sklearn.neighbors.tests.test_neighbors.test_neighbors_badargs ... ok sklearn.neighbors.tests.test_neighbors.test_neighbors_metrics ... ok sklearn.neighbors.tests.test_neighbors.test_callable_metric ... ok sklearn.neighbors.tests.test_neighbors.test_valid_brute_metric_for_auto_algorithm ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype float64 was converted to bool by check_pairwise_arrays. warnings.warn(msg, DataConversionWarning) ok sklearn.neighbors.tests.test_neighbors.test_metric_params_interface ... ok sklearn.neighbors.tests.test_neighbors.test_predict_sparse_ball_kd_tree ... ok sklearn.neighbors.tests.test_neighbors.test_non_euclidean_kneighbors ... ok sklearn.neighbors.tests.test_neighbors.test_k_and_radius_neighbors_train_is_not_query ... ok sklearn.neighbors.tests.test_neighbors.test_k_and_radius_neighbors_X_None ... ok sklearn.neighbors.tests.test_neighbors.test_k_and_radius_neighbors_duplicates ... ok sklearn.neighbors.tests.test_neighbors.test_include_self_neighbors_graph ... ok sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('ball_tree',) ... ok sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('brute',) ... ok sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('kd_tree',) ... ok sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('auto',) ... ok sklearn.neighbors.tests.test_neighbors.test_dtype_convert ... ok sklearn.neighbors.tests.test_quad_tree.test_quadtree_boundary_computation ... ok sklearn.neighbors.tests.test_quad_tree.test_quadtree_similar_point ... ok sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(0,) ... ok sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(1,) ... ok sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(2,) ... ok sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(0,) ... ok sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(1,) ... ok sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(2,) ... ok sklearn.neighbors.tests.test_quad_tree.test_qt_insert_duplicate(2,) ... ok sklearn.neighbors.tests.test_quad_tree.test_qt_insert_duplicate(3,) ... ok sklearn.neighbors.tests.test_quad_tree.test_summarize ... ok sklearn.neural_network.tests.test_mlp.test_alpha ... ok sklearn.neural_network.tests.test_mlp.test_fit ... ok sklearn.neural_network.tests.test_mlp.test_gradient ... ok sklearn.neural_network.tests.test_mlp.test_lbfgs_classification ... ok sklearn.neural_network.tests.test_mlp.test_lbfgs_regression ... ok sklearn.neural_network.tests.test_mlp.test_learning_rate_warmstart ... ok sklearn.neural_network.tests.test_mlp.test_warm_start ... ok sklearn.neural_network.tests.test_mlp.test_multilabel_classification ... ok sklearn.neural_network.tests.test_mlp.test_multioutput_regression ... ok sklearn.neural_network.tests.test_mlp.test_partial_fit_classes_error ... ok sklearn.neural_network.tests.test_mlp.test_partial_fit_classification ... ok sklearn.neural_network.tests.test_mlp.test_partial_fit_unseen_classes ... ok sklearn.neural_network.tests.test_mlp.test_partial_fit_regression ... ok sklearn.neural_network.tests.test_mlp.test_partial_fit_errors ... ok sklearn.neural_network.tests.test_mlp.test_params_errors ... ok sklearn.neural_network.tests.test_mlp.test_predict_proba_binary ... ok sklearn.neural_network.tests.test_mlp.test_predict_proba_multiclass ... ok sklearn.neural_network.tests.test_mlp.test_predict_proba_multilabel ... ok sklearn.neural_network.tests.test_mlp.test_sparse_matrices ... ok sklearn.neural_network.tests.test_mlp.test_tolerance ... ok sklearn.neural_network.tests.test_mlp.test_verbose_sgd ... ok sklearn.neural_network.tests.test_mlp.test_early_stopping ... ok sklearn.neural_network.tests.test_mlp.test_adaptive_learning_rate ... ok sklearn.neural_network.tests.test_rbm.test_fit ... ok sklearn.neural_network.tests.test_rbm.test_partial_fit ... ok sklearn.neural_network.tests.test_rbm.test_transform ... ok sklearn.neural_network.tests.test_rbm.test_small_sparse ... ok sklearn.neural_network.tests.test_rbm.test_small_sparse_partial_fit ... ok sklearn.neural_network.tests.test_rbm.test_sample_hiddens ... ok sklearn.neural_network.tests.test_rbm.test_fit_gibbs ... ok sklearn.neural_network.tests.test_rbm.test_fit_gibbs_sparse ... ok sklearn.neural_network.tests.test_rbm.test_gibbs_smoke ... ok sklearn.neural_network.tests.test_rbm.test_score_samples ... ok sklearn.neural_network.tests.test_rbm.test_rbm_verbose ... ok sklearn.neural_network.tests.test_rbm.test_sparse_and_verbose ... ok sklearn.neural_network.tests.test_stochastic_optimizers.test_base_optimizer ... ok sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_no_momentum ... ok sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_momentum ... ok sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_trigger_stopping ... ok sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_nesterovs_momentum ... ok sklearn.neural_network.tests.test_stochastic_optimizers.test_adam_optimizer ... ok sklearn.preprocessing.tests.test_data.test_polynomial_features ... ok sklearn.preprocessing.tests.test_data.test_polynomial_feature_names ... ok sklearn.preprocessing.tests.test_data.test_standard_scaler_1d ... ok sklearn.preprocessing.tests.test_data.test_scale_1d ... ok sklearn.preprocessing.tests.test_data.test_scaler_2d_arrays ... ok sklearn.preprocessing.tests.test_data.test_handle_zeros_in_scale ... ok sklearn.preprocessing.tests.test_data.test_minmax_scaler_partial_fit ... ok sklearn.preprocessing.tests.test_data.test_standard_scaler_partial_fit ... ok sklearn.preprocessing.tests.test_data.test_standard_scaler_partial_fit_numerical_stability ... ok sklearn.preprocessing.tests.test_data.test_partial_fit_sparse_input ... ok sklearn.preprocessing.tests.test_data.test_standard_scaler_trasform_with_partial_fit ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_data.py:484: RuntimeWarning: underflow encountered in nextafter epsilon = np.nextafter(0, 1) ok sklearn.preprocessing.tests.test_data.test_min_max_scaler_iris ... ok sklearn.preprocessing.tests.test_data.test_min_max_scaler_zero_variance_features ... ok sklearn.preprocessing.tests.test_data.test_minmax_scale_axis1 ... ok sklearn.preprocessing.tests.test_data.test_min_max_scaler_1d ... ok sklearn.preprocessing.tests.test_data.test_scaler_without_centering ... ok sklearn.preprocessing.tests.test_data.test_standard_scaler_numerical_stability ... ok sklearn.preprocessing.tests.test_data.test_scaler_int ... ok sklearn.preprocessing.tests.test_data.test_scaler_without_copy ... ok sklearn.preprocessing.tests.test_data.test_scale_sparse_with_mean_raise_exception ... ok sklearn.preprocessing.tests.test_data.test_scale_input_finiteness_validation ... ok sklearn.preprocessing.tests.test_data.test_robust_scaler_2d_arrays ... ok sklearn.preprocessing.tests.test_data.test_robust_scaler_transform_one_row_csr ... ok sklearn.preprocessing.tests.test_data.test_robust_scaler_iris ... ok sklearn.preprocessing.tests.test_data.test_robust_scaler_iris_quantiles ... ok sklearn.preprocessing.tests.test_data.test_quantile_transform_iris ... ok sklearn.preprocessing.tests.test_data.test_quantile_transform_check_error ... ok sklearn.preprocessing.tests.test_data.test_quantile_transform_sparse_ignore_zeros ... ok sklearn.preprocessing.tests.test_data.test_quantile_transform_dense_toy ... ok sklearn.preprocessing.tests.test_data.test_quantile_transform_subsampling ... ok sklearn.preprocessing.tests.test_data.test_quantile_transform_sparse_toy ... ok sklearn.preprocessing.tests.test_data.test_quantile_transform_axis1 ... ok sklearn.preprocessing.tests.test_data.test_quantile_transform_bounds ... ok sklearn.preprocessing.tests.test_data.test_quantile_transform_and_inverse ... ok sklearn.preprocessing.tests.test_data.test_robust_scaler_invalid_range ... ok sklearn.preprocessing.tests.test_data.test_scale_function_without_centering ... ok sklearn.preprocessing.tests.test_data.test_robust_scale_axis1 ... ok sklearn.preprocessing.tests.test_data.test_robust_scaler_zero_variance_features ... ok sklearn.preprocessing.tests.test_data.test_maxabs_scaler_zero_variance_features ... ok sklearn.preprocessing.tests.test_data.test_maxabs_scaler_large_negative_value ... ok sklearn.preprocessing.tests.test_data.test_maxabs_scaler_transform_one_row_csr ... ok sklearn.preprocessing.tests.test_data.test_warning_scaling_integers ... ok sklearn.preprocessing.tests.test_data.test_maxabs_scaler_1d ... ok sklearn.preprocessing.tests.test_data.test_maxabs_scaler_partial_fit ... ok sklearn.preprocessing.tests.test_data.test_normalizer_l1 ... ok sklearn.preprocessing.tests.test_data.test_normalizer_l2 ... ok sklearn.preprocessing.tests.test_data.test_normalizer_max ... ok sklearn.preprocessing.tests.test_data.test_normalize ... ok sklearn.preprocessing.tests.test_data.test_binarizer ... ok sklearn.preprocessing.tests.test_data.test_center_kernel ... ok sklearn.preprocessing.tests.test_data.test_cv_pipeline_precomputed ... ok sklearn.preprocessing.tests.test_data.test_fit_transform ... ok sklearn.preprocessing.tests.test_data.test_add_dummy_feature ... ok sklearn.preprocessing.tests.test_data.test_add_dummy_feature_coo ... ok sklearn.preprocessing.tests.test_data.test_add_dummy_feature_csc ... ok sklearn.preprocessing.tests.test_data.test_add_dummy_feature_csr ... ok sklearn.preprocessing.tests.test_data.test_one_hot_encoder_sparse ... ok sklearn.preprocessing.tests.test_data.test_one_hot_encoder_dense ... ok sklearn.preprocessing.tests.test_data.test_transform_selected ... ok sklearn.preprocessing.tests.test_data.test_transform_selected_copy_arg ... ok sklearn.preprocessing.tests.test_data.test_one_hot_encoder_categorical_features ... ok sklearn.preprocessing.tests.test_data.test_one_hot_encoder_unknown_transform ... ok sklearn.preprocessing.tests.test_data.test_fit_cold_start ... ok sklearn.preprocessing.tests.test_data.test_quantile_transform_valid_axis ... ok sklearn.preprocessing.tests.test_function_transformer.test_delegate_to_func ... ok sklearn.preprocessing.tests.test_function_transformer.test_np_log ... ok sklearn.preprocessing.tests.test_function_transformer.test_kw_arg ... ok sklearn.preprocessing.tests.test_function_transformer.test_kw_arg_update ... ok sklearn.preprocessing.tests.test_function_transformer.test_kw_arg_reset ... ok sklearn.preprocessing.tests.test_function_transformer.test_inverse_transform ... ok sklearn.preprocessing.tests.test_imputation.test_imputation_shape ... ok sklearn.preprocessing.tests.test_imputation.test_imputation_mean_median_only_zero ... /usr/lib/python3/dist-packages/numpy/lib/function_base.py:4016: RuntimeWarning: Invalid value encountered in median for 1 results r = func(a, **kwargs) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsefuncs.py:421: RuntimeWarning: invalid value encountered in less n_negative = np.count_nonzero(data < 0) ok sklearn.preprocessing.tests.test_imputation.test_imputation_mean_median ... /usr/lib/python3/dist-packages/numpy/core/fromnumeric.py:2909: RuntimeWarning: Mean of empty slice. out=out, **kwargs) /usr/lib/python3/dist-packages/numpy/core/_methods.py:80: RuntimeWarning: invalid value encountered in double_scalars ret = ret.dtype.type(ret / rcount) ok sklearn.preprocessing.tests.test_imputation.test_imputation_median_special_cases ... ok sklearn.preprocessing.tests.test_imputation.test_imputation_most_frequent ... ok sklearn.preprocessing.tests.test_imputation.test_imputation_pipeline_grid_search ... ok sklearn.preprocessing.tests.test_imputation.test_imputation_pickle ... ok sklearn.preprocessing.tests.test_imputation.test_imputation_copy ... ok sklearn.preprocessing.tests.test_label.test_label_binarizer ... ok sklearn.preprocessing.tests.test_label.test_label_binarizer_unseen_labels ... ok sklearn.preprocessing.tests.test_label.test_label_binarizer_set_label_encoding ... ok sklearn.preprocessing.tests.test_label.test_label_encoder ... ok sklearn.preprocessing.tests.test_label.test_label_encoder_fit_transform ... ok sklearn.preprocessing.tests.test_label.test_label_encoder_errors ... ok sklearn.preprocessing.tests.test_label.test_sparse_output_multilabel_binarizer ... ok sklearn.preprocessing.tests.test_label.test_multilabel_binarizer ... ok sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_empty_sample ... ok sklearn.preprocessing.tests.test_label.test_label_binarizer_errors ... ok sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_unknown_class ... ok sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_given_classes ... ok sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_same_length_sequence ... ok sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_non_integer_labels ... ok sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_non_unique ... ok sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_inverse_validation ... ok sklearn.preprocessing.tests.test_label.test_label_binarize_with_class_order ... ok sklearn.preprocessing.tests.test_label.test_label_binarize_binary([0, 1, 0], [0, 1], 2, -1, array([[-1], ... ok sklearn.preprocessing.tests.test_label.test_label_binarize_binary([0, 1, 0], [0, 1], 3, 0, array([[0], ... ok sklearn.preprocessing.tests.test_label.test_label_binarize_multiclass([0, 1, 2], [0, 1, 2], 2, 0, array([[ 2., 0., 0.], ... ok sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(array([[0, 1, 0], ... ok sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '' ... ok sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '' ... ok sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '' ... ok sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '' ... ok sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '' ... ok sklearn.preprocessing.tests.test_label.test_invalid_input_label_binarize ... ok sklearn.preprocessing.tests.test_label.test_inverse_binarize_multiclass ... ok sklearn.semi_supervised.tests.test_label_propagation.test_fit_transduction ... ok sklearn.semi_supervised.tests.test_label_propagation.test_distribution ... ok sklearn.semi_supervised.tests.test_label_propagation.test_predict ... ok sklearn.semi_supervised.tests.test_label_propagation.test_predict_proba ... ok sklearn.semi_supervised.tests.test_label_propagation.test_alpha_deprecation ... ok sklearn.semi_supervised.tests.test_label_propagation.test_label_spreading_closed_form ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place ok sklearn.semi_supervised.tests.test_label_propagation.test_label_propagation_closed_form ... ok sklearn.semi_supervised.tests.test_label_propagation.test_valid_alpha ... ok sklearn.semi_supervised.tests.test_label_propagation.test_convergence_speed ... ok sklearn.semi_supervised.tests.test_label_propagation.test_convergence_warning ... ok Test l1_min_c loss='squared_hinge' sparse two-classes no-intercept ... ok Test l1_min_c loss='squared_hinge' sparse two-classes fit-intercept ... ok Test l1_min_c loss='squared_hinge' sparse multi-class no-intercept ... ok Test l1_min_c loss='squared_hinge' sparse multi-class fit-intercept ... ok Test l1_min_c loss='squared_hinge' dense two-classes no-intercept ... ok Test l1_min_c loss='squared_hinge' dense two-classes fit-intercept ... ok Test l1_min_c loss='squared_hinge' dense multi-class no-intercept ... ok Test l1_min_c loss='squared_hinge' dense multi-class fit-intercept ... ok Test l1_min_c loss='log' sparse two-classes no-intercept ... ok Test l1_min_c loss='log' sparse two-classes fit-intercept ... ok Test l1_min_c loss='log' sparse multi-class no-intercept ... ok Test l1_min_c loss='log' sparse multi-class fit-intercept ... ok Test l1_min_c loss='log' dense two-classes no-intercept ... ok Test l1_min_c loss='log' dense two-classes fit-intercept ... ok Test l1_min_c loss='log' dense multi-class no-intercept ... ok Test l1_min_c loss='log' dense multi-class fit-intercept ... ok sklearn.svm.tests.test_bounds.test_ill_posed_min_c ... ok sklearn.svm.tests.test_bounds.test_unsupported_loss ... ok Check that sparse SVC gives the same result as SVC ... ok sklearn.svm.tests.test_sparse.test_unsorted_indices ... ok sklearn.svm.tests.test_sparse.test_svc_with_custom_kernel ... ok sklearn.svm.tests.test_sparse.test_svc_iris ... ok sklearn.svm.tests.test_sparse.test_sparse_decision_function ... ok sklearn.svm.tests.test_sparse.test_error ... ok sklearn.svm.tests.test_sparse.test_linearsvc ... ok sklearn.svm.tests.test_sparse.test_linearsvc_iris ... ok sklearn.svm.tests.test_sparse.test_weight ... ok sklearn.svm.tests.test_sparse.test_sample_weights ... ok sklearn.svm.tests.test_sparse.test_sparse_liblinear_intercept_handling ... ok Check that sparse OneClassSVM gives the same result as dense OneClassSVM ... ok sklearn.svm.tests.test_sparse.test_sparse_realdata ... ok sklearn.svm.tests.test_sparse.test_sparse_svc_clone_with_callable_kernel ... ok sklearn.svm.tests.test_sparse.test_timeout ... ok sklearn.svm.tests.test_sparse.test_consistent_proba ... ok sklearn.svm.tests.test_svm.test_libsvm_parameters ... ok sklearn.svm.tests.test_svm.test_libsvm_iris ... ok sklearn.svm.tests.test_svm.test_precomputed ... ok sklearn.svm.tests.test_svm.test_svr ... ok sklearn.svm.tests.test_svm.test_linearsvr ... ok sklearn.svm.tests.test_svm.test_linearsvr_fit_sampleweight ... ok sklearn.svm.tests.test_svm.test_svr_errors ... ok sklearn.svm.tests.test_svm.test_oneclass ... ok sklearn.svm.tests.test_svm.test_oneclass_decision_function ... ok sklearn.svm.tests.test_svm.test_tweak_params ... ok sklearn.svm.tests.test_svm.test_consistent_proba ... ok sklearn.svm.tests.test_svm.test_probability ... ok sklearn.svm.tests.test_svm.test_decision_function ... ok sklearn.svm.tests.test_svm.test_decision_function_shape ... ok sklearn.svm.tests.test_svm.test_svr_predict ... ok sklearn.svm.tests.test_svm.test_weight ... ok sklearn.svm.tests.test_svm.test_sample_weights ... ok sklearn.svm.tests.test_svm.test_auto_weight ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1135: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples. 'precision', 'predicted', average, warn_for) ok sklearn.svm.tests.test_svm.test_bad_input ... ok sklearn.svm.tests.test_svm.test_unicode_kernel ... ok sklearn.svm.tests.test_svm.test_sparse_precomputed ... ok sklearn.svm.tests.test_svm.test_linearsvc_parameters ... ok sklearn.svm.tests.test_svm.test_linearsvx_loss_penalty_deprecations ... ok sklearn.svm.tests.test_svm.test_linear_svx_uppercase_loss_penality_raises_error ... ok sklearn.svm.tests.test_svm.test_linearsvc ... ok sklearn.svm.tests.test_svm.test_linearsvc_crammer_singer ... ok sklearn.svm.tests.test_svm.test_linearsvc_fit_sampleweight ... ok sklearn.svm.tests.test_svm.test_crammer_singer_binary ... ok sklearn.svm.tests.test_svm.test_linearsvc_iris ... ok sklearn.svm.tests.test_svm.test_dense_liblinear_intercept_handling ... ok sklearn.svm.tests.test_svm.test_liblinear_set_coef ... ok sklearn.svm.tests.test_svm.test_immutable_coef_property ... ok sklearn.svm.tests.test_svm.test_linearsvc_verbose ... ok sklearn.svm.tests.test_svm.test_svc_clone_with_callable_kernel ... ok sklearn.svm.tests.test_svm.test_svc_bad_kernel ... ok sklearn.svm.tests.test_svm.test_timeout ... ok sklearn.svm.tests.test_svm.test_unfitted ... ok sklearn.svm.tests.test_svm.test_linear_svc_convergence_warnings ... optimization finished, #iter = 2 WARNING: reaching max number of iterations Using -s 2 may be faster (also see FAQ) Objective value = -0.183884 nSV = 3 ok sklearn.svm.tests.test_svm.test_svr_coef_sign ... ok sklearn.svm.tests.test_svm.test_linear_svc_intercept_scaling ... ok sklearn.svm.tests.test_svm.test_lsvc_intercept_scaling_zero ... ok sklearn.svm.tests.test_svm.test_hasattr_predict_proba ... ok sklearn.svm.tests.test_svm.test_decision_function_shape_two_class ... ok sklearn.svm.tests.test_svm.test_ovr_decision_function ... ok sklearn.tree.tests.test_export.test_graphviz_toy ... ok sklearn.tree.tests.test_export.test_graphviz_errors ... ok sklearn.tree.tests.test_export.test_friedman_mse_in_graphviz ... ok sklearn.tree.tests.test_export.test_precision ... ok sklearn.tree.tests.test_tree.test_classification_toy ... ok sklearn.tree.tests.test_tree.test_weighted_classification_toy ... ok sklearn.tree.tests.test_tree.test_regression_toy ... ok sklearn.tree.tests.test_tree.test_xor ... ok sklearn.tree.tests.test_tree.test_iris ... ok sklearn.tree.tests.test_tree.test_boston ... ok sklearn.tree.tests.test_tree.test_1d_input ... ok sklearn.tree.tests.test_tree.test_probability ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:864: RuntimeWarning: divide by zero encountered in log return np.log(proba) ok sklearn.tree.tests.test_tree.test_arrayrepr ... ok sklearn.tree.tests.test_tree.test_pure_set ... ok sklearn.tree.tests.test_tree.test_numerical_stability ... ok sklearn.tree.tests.test_tree.test_importances ... ok sklearn.tree.tests.test_tree.test_importances_raises ... ok sklearn.tree.tests.test_tree.test_importances_gini_equal_mse ... ok sklearn.tree.tests.test_tree.test_max_features ... ok sklearn.tree.tests.test_tree.test_error ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:282: DeprecationWarning: The min_impurity_split parameter is deprecated and will be removed in version 0.21. Use the min_impurity_decrease parameter instead. DeprecationWarning) ok Test min_samples_split parameter ... ok sklearn.tree.tests.test_tree.test_min_samples_leaf ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeClassifier', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('Presort-DecisionTreeClassifier', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeClassifier', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeRegressor', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('Presort-DecisionTreeRegressor', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeRegressor', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeClassifier', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeRegressor', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeClassifier', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeRegressor', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('DecisionTreeClassifier', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('Presort-DecisionTreeClassifier', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('ExtraTreeClassifier', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('DecisionTreeRegressor', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('Presort-DecisionTreeRegressor', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('ExtraTreeRegressor', 'iris') ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('DecisionTreeClassifier', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('DecisionTreeRegressor', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('ExtraTreeClassifier', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('ExtraTreeRegressor', 'multilabel', True) ... ok sklearn.tree.tests.test_tree.test_min_impurity_split ... ok sklearn.tree.tests.test_tree.test_min_impurity_decrease ... ok sklearn.tree.tests.test_tree.test_multioutput ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:868: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) ok sklearn.tree.tests.test_tree.test_classes_shape ... ok sklearn.tree.tests.test_tree.test_unbalanced_iris ... ok sklearn.tree.tests.test_tree.test_memory_layout ... ok sklearn.tree.tests.test_tree.test_sample_weight ... ok sklearn.tree.tests.test_tree.test_sample_weight_invalid ... ok sklearn.tree.tests.test_tree.test_class_weights('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_class_weights('Presort-DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_class_weights('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_class_weight_errors('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_class_weight_errors('Presort-DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_class_weight_errors('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_max_leaf_nodes ... ok sklearn.tree.tests.test_tree.test_max_leaf_nodes_max_depth ... ok sklearn.tree.tests.test_tree.test_arrays_persist ... ok sklearn.tree.tests.test_tree.test_only_constant_features ... ok sklearn.tree.tests.test_tree.test_behaviour_constant_feature_after_splits ... ok sklearn.tree.tests.test_tree.test_with_only_one_non_constant_features ... ok sklearn.tree.tests.test_tree.test_big_input ... ok sklearn.tree.tests.test_tree.test_realloc ... ok sklearn.tree.tests.test_tree.test_huge_allocations ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'clf_small', None) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:864: RuntimeWarning: divide by zero encountered in log return np.log(proba) ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'toy', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'digits', 3) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'multilabel', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-pos', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-neg', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-mix', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'zeros', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'clf_small', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'toy', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'digits', 3) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'multilabel', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-pos', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-neg', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-mix', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'zeros', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'clf_small', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'toy', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'digits', 3) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'multilabel', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-pos', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-neg', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-mix', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'zeros', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'clf_small', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'toy', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'digits', 3) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'multilabel', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-pos', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-neg', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-mix', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'zeros', None) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'boston', 2) ... ok sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'reg_small', 2) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'boston', 2) ... ok sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'reg_small', 2) ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'zeros') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-pos') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-neg') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-mix') ... ok sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'zeros') ... ok sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('ExtraTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('Presort-DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('Presort-DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('ExtraTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('Presort-DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_public_apply('Presort-DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok sklearn.tree.tests.test_tree.test_decision_path_hardcoded ... ok sklearn.tree.tests.test_tree.test_decision_path('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_decision_path('Presort-DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_decision_path('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_decision_path('DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_decision_path('Presort-DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_decision_path('ExtraTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_no_sparse_y_support('DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_no_sparse_y_support('Presort-DecisionTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_no_sparse_y_support('ExtraTreeClassifier',) ... ok sklearn.tree.tests.test_tree.test_no_sparse_y_support('DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_no_sparse_y_support('Presort-DecisionTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_no_sparse_y_support('ExtraTreeRegressor',) ... ok sklearn.tree.tests.test_tree.test_mae ... ok sklearn.tree.tests.test_tree.test_criterion_copy ... ok sklearn.utils.tests.test_bench.test_total_seconds ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight_not_present ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight_dict ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight_invariance ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight_balanced_negative ... ok sklearn.utils.tests.test_class_weight.test_compute_class_weight_balanced_unordered ... ok sklearn.utils.tests.test_class_weight.test_compute_sample_weight ... ok sklearn.utils.tests.test_class_weight.test_compute_sample_weight_with_subsample ... ok sklearn.utils.tests.test_class_weight.test_compute_sample_weight_errors ... ok sklearn.utils.tests.test_deprecation.test_deprecated ... ok sklearn.utils.tests.test_deprecation.test_is_deprecated ... ok sklearn.utils.tests.test_deprecation.test_pickle ... ok sklearn.utils.tests.test_deprecation.test_deprecationdict ... ok sklearn.utils.tests.test_estimator_checks.test_check_estimator ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn(message, SkipTestWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn(message, SkipTestWarning) ok sklearn.utils.tests.test_estimator_checks.test_check_estimator_clones ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn(message, SkipTestWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn(message, SkipTestWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn(message, SkipTestWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn(message, SkipTestWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn(message, SkipTestWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3. "and default tol will be 1e-3." % type(self), FutureWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn(message, SkipTestWarning) ok sklearn.utils.tests.test_estimator_checks.test_check_estimators_unfitted ... ok sklearn.utils.tests.test_estimator_checks.test_check_no_fit_attributes_set_in_init ... ok sklearn.utils.tests.test_extmath.test_density ... ok sklearn.utils.tests.test_extmath.test_uniform_weights ... ok sklearn.utils.tests.test_extmath.test_random_weights ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_all_dtypes(,) ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_all_dtypes(,) ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_all_dtypes(,) ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_all_dtypes(,) ... ok sklearn.utils.tests.test_extmath.test_row_norms ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_with_noise ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_infinite_rank ... ok sklearn.utils.tests.test_extmath.test_logsumexp ... ok sklearn.utils.tests.test_extmath.test_norm_squared_norm ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_transpose_consistency ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_power_iteration_normalizer ... ok sklearn.utils.tests.test_extmath.test_svd_flip ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_sign_flip ... ok sklearn.utils.tests.test_extmath.test_randomized_svd_sign_flip_with_transpose ... ok sklearn.utils.tests.test_extmath.test_cartesian ... ok sklearn.utils.tests.test_extmath.test_logistic_sigmoid ... ok sklearn.utils.tests.test_extmath.test_incremental_variance_update_formulas ... ok sklearn.utils.tests.test_extmath.test_incremental_variance_ddof ... ok sklearn.utils.tests.test_extmath.test_vector_sign_flip ... ok sklearn.utils.tests.test_extmath.test_softmax ... ok sklearn.utils.tests.test_extmath.test_stable_cumsum ... ok sklearn.utils.tests.test_extmath.test_incremental_variance_numerical_stability ... ok sklearn.utils.tests.test_fast_dict.test_int_float_dict ... ok sklearn.utils.tests.test_fast_dict.test_int_float_dict_argmin ... ok sklearn.utils.tests.test_fixes.test_divide ... ok sklearn.utils.tests.test_fixes.test_masked_array_obj_dtype_pickleable ... ok sklearn.utils.tests.test_graph.test_graph_laplacian ... ok sklearn.utils.tests.test_linear_assignment.test_hungarian ... ok sklearn.utils.tests.test_metaestimators.test_delegated_docstring ... ok sklearn.utils.tests.test_metaestimators.test_if_delegate_has_method ... ok sklearn.utils.tests.test_multiclass.test_unique_labels ... ok sklearn.utils.tests.test_multiclass.test_unique_labels_non_specific ... ok sklearn.utils.tests.test_multiclass.test_unique_labels_mixed_types ... ok sklearn.utils.tests.test_multiclass.test_is_multilabel ... ok sklearn.utils.tests.test_multiclass.test_check_classification_targets ... ok sklearn.utils.tests.test_multiclass.test_type_of_target ... SKIP: Pandas not found sklearn.utils.tests.test_multiclass.test_class_distribution ... ok sklearn.utils.tests.test_multiclass.test_safe_split_with_precomputed_kernel ... ok sklearn.utils.tests.test_murmurhash.test_mmhash3_int ... ok sklearn.utils.tests.test_murmurhash.test_mmhash3_int_array ... ok sklearn.utils.tests.test_murmurhash.test_mmhash3_bytes ... ok sklearn.utils.tests.test_murmurhash.test_mmhash3_unicode ... ok sklearn.utils.tests.test_murmurhash.test_no_collision_on_byte_range ... ok sklearn.utils.tests.test_murmurhash.test_uniform_distribution ... ok sklearn.utils.tests.test_optimize.test_newton_cg ... ok sklearn.utils.tests.test_random.test_invalid_sample_without_replacement_algorithm ... ok sklearn.utils.tests.test_random.test_sample_without_replacement_algorithms ... ok sklearn.utils.tests.test_random.test_random_choice_csc ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/random.py:191: RuntimeWarning: invalid value encountered in true_divide np.sum(class_probability_nz)) ok sklearn.utils.tests.test_random.test_random_choice_csc_errors ... ok sklearn.utils.tests.test_seq_dataset.test_seq_dataset ... ok sklearn.utils.tests.test_seq_dataset.test_seq_dataset_shuffle ... ok sklearn.utils.tests.test_shortest_path.test_floyd_warshall ... ok sklearn.utils.tests.test_shortest_path.test_dijkstra ... ok sklearn.utils.tests.test_shortest_path.test_shortest_path ... ok sklearn.utils.tests.test_shortest_path.test_dijkstra_bug_fix ... ok sklearn.utils.tests.test_sparsefuncs.test_mean_variance_axis0 ... ok sklearn.utils.tests.test_sparsefuncs.test_mean_variance_axis1 ... ok sklearn.utils.tests.test_sparsefuncs.test_incr_mean_variance_axis ... ok sklearn.utils.tests.test_sparsefuncs.test_mean_variance_illegal_axis ... ok sklearn.utils.tests.test_sparsefuncs.test_densify_rows ... ok sklearn.utils.tests.test_sparsefuncs.test_inplace_column_scale ... ok sklearn.utils.tests.test_sparsefuncs.test_inplace_row_scale ... ok sklearn.utils.tests.test_sparsefuncs.test_inplace_swap_row ... ok sklearn.utils.tests.test_sparsefuncs.test_inplace_swap_column ... ok sklearn.utils.tests.test_sparsefuncs.test_min_max_axis0 ... ok sklearn.utils.tests.test_sparsefuncs.test_min_max_axis1 ... ok sklearn.utils.tests.test_sparsefuncs.test_min_max_axis_errors ... ok sklearn.utils.tests.test_sparsefuncs.test_count_nonzero ... ok sklearn.utils.tests.test_sparsefuncs.test_csc_row_median ... ok sklearn.utils.tests.test_sparsefuncs.test_inplace_normalize ... ok sklearn.utils.tests.test_stats.test_cases ... ok test_warn (sklearn.utils.tests.test_testing.TestWarns) ... ok test_warn_wrong_warning (sklearn.utils.tests.test_testing.TestWarns) ... ok sklearn.utils.tests.test_testing.test_assert_less ... ok sklearn.utils.tests.test_testing.test_assert_greater ... ok sklearn.utils.tests.test_testing.test_assert_less_equal ... ok sklearn.utils.tests.test_testing.test_assert_greater_equal ... ok sklearn.utils.tests.test_testing.test_set_random_state ... ok sklearn.utils.tests.test_testing.test_assert_allclose_dense_sparse ... ok sklearn.utils.tests.test_testing.test_assert_raise_message ... ok sklearn.utils.tests.test_testing.test_ignore_warning ... ok sklearn.utils.tests.test_testing.test_check_docstring_parameters ... SKIP: numpydoc is required to test the docstrings sklearn.utils.tests.test_utils.test_make_rng ... ok sklearn.utils.tests.test_utils.test_deprecated ... ok sklearn.utils.tests.test_utils.test_resample ... ok sklearn.utils.tests.test_utils.test_safe_mask ... ok sklearn.utils.tests.test_utils.test_column_or_1d ... ok sklearn.utils.tests.test_utils.test_safe_indexing ... ok sklearn.utils.tests.test_utils.test_safe_indexing_pandas ... SKIP: Pandas not found sklearn.utils.tests.test_utils.test_safe_indexing_mock_pandas ... ok sklearn.utils.tests.test_utils.test_shuffle_on_ndim_equals_three ... ok sklearn.utils.tests.test_utils.test_shuffle_dont_convert_to_array ... ok sklearn.utils.tests.test_utils.test_gen_even_slices ... ok sklearn.utils.tests.test_utils.test_arpack_eigsh_initialization ... ok sklearn.utils.tests.test_utils.test_pinvh_nonpositive ... ok sklearn.utils.tests.test_utils.test_pinvh_simple_complex ... ok sklearn.utils.tests.test_utils.test_pinvh_simple_real ... ok sklearn.utils.tests.test_validation.test_as_float_array ... ok sklearn.utils.tests.test_validation.test_np_matrix ... ok sklearn.utils.tests.test_validation.test_memmap ... ok sklearn.utils.tests.test_validation.test_ordering ... ok sklearn.utils.tests.test_validation.test_check_array_pandas_dtype_object_conversion ... ok sklearn.utils.tests.test_validation.test_check_array_on_mock_dataframe ... ok sklearn.utils.tests.test_validation.test_check_array_dtype_stability ... ok sklearn.utils.tests.test_validation.test_check_array_dtype_warning ... ok sklearn.utils.tests.test_validation.test_check_array ... ok sklearn.utils.tests.test_validation.test_check_array_accept_sparse_type_exception ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py:393: DeprecationWarning: Passing 'None' to parameter 'accept_sparse' in methods check_array and check_X_y is deprecated in version 0.19 and will be removed in 0.21. Use 'accept_sparse=False' instead. " instead.", DeprecationWarning) ok sklearn.utils.tests.test_validation.test_check_array_accept_sparse_no_exception ... ok sklearn.utils.tests.test_validation.test_check_array_min_samples_and_features_messages ... ok sklearn.utils.tests.test_validation.test_has_fit_parameter ... ok sklearn.utils.tests.test_validation.test_check_symmetric ... ok sklearn.utils.tests.test_validation.test_check_is_fitted ... ok sklearn.utils.tests.test_validation.test_check_consistent_length ... ok sklearn.utils.tests.test_validation.test_check_dataframe_fit_attribute ... SKIP: Pandas not found sklearn.utils.tests.test_validation.test_suppress_validation ... ok sklearn.utils.tests.test_validation.test_check_memory ... ok sklearn.tests.test_base.test_clone ... ok sklearn.tests.test_base.test_clone_2 ... ok sklearn.tests.test_base.test_clone_buggy ... ok sklearn.tests.test_base.test_clone_empty_array ... ok sklearn.tests.test_base.test_clone_nan ... ok sklearn.tests.test_base.test_clone_copy_init_params ... ok sklearn.tests.test_base.test_clone_sparse_matrices ... ok sklearn.tests.test_base.test_repr ... ok sklearn.tests.test_base.test_str ... ok sklearn.tests.test_base.test_get_params ... ok sklearn.tests.test_base.test_get_params_deprecated ... ok sklearn.tests.test_base.test_is_classifier ... ok sklearn.tests.test_base.test_set_params ... ok sklearn.tests.test_base.test_set_params_passes_all_parameters ... ok sklearn.tests.test_base.test_score_sample_weight ... ok sklearn.tests.test_base.test_pickling_works_when_getstate_is_overwritten_in_the_child_class ... ok sklearn.tests.test_base.test_clone_pandas_dataframe ... ok sklearn.tests.test_base.test_pickle_version_warning_is_not_raised_with_matching_version ... ok sklearn.tests.test_base.test_pickle_version_warning_is_issued_upon_different_version ... ok sklearn.tests.test_base.test_pickle_version_warning_is_issued_when_no_version_info_in_pickle ... ok sklearn.tests.test_base.test_pickle_version_no_warning_is_issued_with_non_sklearn_estimator ... ok sklearn.tests.test_base.test_pickling_when_getstate_is_overwritten_by_mixin ... ok sklearn.tests.test_base.test_pickling_when_getstate_is_overwritten_by_mixin_outside_of_sklearn ... ok sklearn.tests.test_calibration.test_sample_weight ... ok Test calibration for multiclass ... ok Test calibration for prefitted classifiers ... ok Test calibration values with Platt sigmoid model ... ok Check calibration_curve function ... ok Test that calibration can accept nan ... ok sklearn.tests.test_calibration.test_calibration_prob_sum ... ok Test calibration objects with isotonic and sigmoid ... ok sklearn.tests.test_calibration.test_calibration_less_classes ... ok sklearn.tests.test_check_build.test_raise_build_error ... ok sklearn.tests.test_common.test_all_estimator_no_base_class ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ClassifierChain) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(FastICA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LSHForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiOutputClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiOutputRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Nystroem) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OneVsOneClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OneVsRestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OutputCodeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RFE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RFECV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SpectralBiclustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SpectralCoclustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_BaseRidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_BinaryGaussianProcessClassifierLaplace) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_ConstantPredictor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_DPGMMBase) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_GMMBase) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_RidgeGCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ARDRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(AdaBoostClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(AdaBoostClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(AdaBoostRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(AdaBoostRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(AdditiveChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(AffinityPropagation) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/affinity_propagation_.py:105: RuntimeWarning: underflow encountered in multiply random_state.randn(n_samples, n_samples)) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(AffinityPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(AgglomerativeClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BaggingClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BaggingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BaggingRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BaggingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BayesianGaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BayesianRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BernoulliNB) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(BernoulliNB) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) - ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BernoulliNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BernoulliRBM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Binarizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Birch) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (1) by Birch is less than (3). Decrease the threshold. % (len(centroids), self.n_clusters)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (1) by Birch is less than (3). Decrease the threshold. % (len(centroids), self.n_clusters)) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(Birch) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold. % (len(centroids), self.n_clusters)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold. % (len(centroids), self.n_clusters)) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(Birch) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold. % (len(centroids), self.n_clusters)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold. % (len(centroids), self.n_clusters)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold. % (len(centroids), self.n_clusters)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold. % (len(centroids), self.n_clusters)) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Birch) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(CCA) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(CCA) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(CCA) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(CCA) ... SKIP /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(CCA) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(CCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(CalibratedClassifierCV) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(CalibratedClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(DBSCAN) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(DBSCAN) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class DPGMM is deprecated; The `DPGMM` class is not working correctly and it's better to use `sklearn.mixture.BayesianGaussianMixture` class with parameter `weight_concentration_prior_type='dirichlet_process'` instead. DPGMM is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(DPGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(DecisionTreeClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(DecisionTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(DecisionTreeRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(DecisionTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(DictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ElasticNet) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ElasticNet) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ElasticNet) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ElasticNetCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ElasticNetCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ElasticNetCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ElasticNetCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ElasticNetCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ElasticNetCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ElasticNetCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(EmpiricalCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ExtraTreeClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ExtraTreeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ExtraTreeRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ExtraTreeRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ExtraTreesClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ExtraTreesClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ExtraTreesRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ExtraTreesRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(FactorAnalysis) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/factor_analysis.py:228: ConvergenceWarning: FactorAnalysis did not converge. You might want to increase the number of iterations. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(FactorAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(FactorAnalysis) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/factor_analysis.py:228: ConvergenceWarning: FactorAnalysis did not converge. You might want to increase the number of iterations. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(FastICA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(FastICA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(FastICA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(FastICA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(FastICA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(FastICA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(FastICA) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(FastICA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(FastICA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(FastICA) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(FastICA) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(FastICA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(FastICA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(FastICA) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(FastICA) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(FastICA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(FastICA) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn('FastICA did not converge. Consider increasing ' ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(FastICA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(FastICA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(FastICA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(FastICA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(FastICA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(FastICA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(FastICA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(FastICA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(FeatureAgglomeration) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(FunctionTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class GMM is deprecated; The class GMM is deprecated in 0.18 and will be removed in 0.20. Use class GaussianMixture instead. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianMixture) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianNB) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class GaussianProcess is deprecated; GaussianProcess was deprecated in version 0.18 and will be removed in 0.20. Use the GaussianProcessRegressor instead. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianProcess) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianProcessClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianProcessRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GenericUnivariateSelect) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GradientBoostingClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GradientBoostingClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GradientBoostingRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GradientBoostingRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GraphLasso) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/graph_lasso_.py:252: ConvergenceWarning: graph_lasso: did not converge after 5 iteration: dual gap: 2.346e+00 ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GraphLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GraphLassoCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/graph_lasso_.py:252: ConvergenceWarning: graph_lasso: did not converge after 5 iteration: dual gap: -5.139e-04 ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GraphLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(HuberRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(HuberRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Imputer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(IncrementalPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(IsolationForest) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(IsolationForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Isomap) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KernelCenterer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KernelDensity) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KernelPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KernelRidge) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KernelRidge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/approximate.py:220: DeprecationWarning: LSHForest has poor performance and has been deprecated in 0.19. It will be removed in version 0.21. DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LSHForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LSHForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LSHForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LSHForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LSHForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LSHForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LSHForest) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (4 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LSHForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LSHForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LSHForest) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (3 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (3 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LSHForest) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (2 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LSHForest) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LSHForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LSHForest) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (3 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LSHForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LSHForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LSHForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LSHForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LSHForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LSHForest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LSHForest) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (3 < 32).The dimensionality of the problem will not be reduced. DataDimensionalityWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LabelPropagation) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LabelPropagation) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:402: RuntimeWarning: underflow encountered in true_divide affinity_matrix /= normalizer[:, np.newaxis] ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LabelPropagation) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:402: RuntimeWarning: underflow encountered in true_divide affinity_matrix /= normalizer[:, np.newaxis] /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:277: RuntimeWarning: underflow encountered in true_divide self.label_distributions_ /= normalizer ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LabelPropagation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LabelSpreading) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LabelSpreading) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence. category=ConvergenceWarning /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence. category=ConvergenceWarning ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LabelSpreading) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place /usr/lib/python3/dist-packages/scipy/sparse/csgraph/_laplacian.py:121: RuntimeWarning: underflow encountered in true_divide m /= w ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LabelSpreading) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence. category=ConvergenceWarning ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LabelSpreading) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp np.exp(K, K) # exponentiate K in-place /usr/lib/python3/dist-packages/scipy/sparse/csgraph/_laplacian.py:121: RuntimeWarning: underflow encountered in true_divide m /= w /usr/lib/python3/dist-packages/scipy/sparse/csgraph/_laplacian.py:122: RuntimeWarning: underflow encountered in true_divide m /= w[:, np.newaxis] /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:284: RuntimeWarning: underflow encountered in multiply alpha, self.label_distributions_) + y_static /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence. category=ConvergenceWarning ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LabelSpreading) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence. category=ConvergenceWarning ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LabelSpreading) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LabelSpreading) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence. category=ConvergenceWarning ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Lars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Lasso) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(Lasso) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(Lasso) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Lasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LassoCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LassoCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LassoCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LassoCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LassoCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LassoCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LassoCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LassoCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LassoLars) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LassoLarsCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LassoLarsIC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LatentDirichletAllocation) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LedoitWolf) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LinearDiscriminantAnalysis) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py:402: RuntimeWarning: invalid value encountered in true_divide S**2))[:self._max_components] ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LinearDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LinearRegression) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LinearRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LinearSVC) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LinearSVR) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LinearSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LocalOutlierFactor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (20) is greater than the total number of samples (9). n_neighbors will be set to (n_samples - 1) for estimation. % (self.n_neighbors, n_samples)) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LocalOutlierFactor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (20) is greater than the total number of samples (10). n_neighbors will be set to (n_samples - 1) for estimation. % (self.n_neighbors, n_samples)) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (20) is greater than the total number of samples (10). n_neighbors will be set to (n_samples - 1) for estimation. % (self.n_neighbors, n_samples)) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LocalOutlierFactor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (20) is greater than the total number of samples (9). n_neighbors will be set to (n_samples - 1) for estimation. % (self.n_neighbors, n_samples)) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LocalOutlierFactor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LocallyLinearEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LogisticRegression) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LogisticRegressionCV) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LogisticRegressionCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MDS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MLPClassifier) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MLPClassifier) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MLPClassifier) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MLPClassifier) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(MLPClassifier) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(MLPClassifier) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(MLPClassifier) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MLPClassifier) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MLPClassifier) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MLPClassifier) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MLPClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MLPClassifier) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MLPRegressor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MLPRegressor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MLPRegressor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MLPRegressor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MLPRegressor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MLPRegressor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MLPRegressor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MLPRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MLPRegressor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. % self.max_iter, ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MaxAbsScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MeanShift) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MinCovDet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MinMaxScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MiniBatchDictionaryLearning) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MiniBatchKMeans) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MiniBatchSparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultiTaskElasticNet) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MultiTaskElasticNet) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MultiTaskElasticNet) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MultiTaskElasticNet) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultiTaskElasticNetCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MultiTaskElasticNetCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MultiTaskElasticNetCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MultiTaskElasticNetCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MultiTaskElasticNetCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MultiTaskElasticNetCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultiTaskLasso) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MultiTaskLasso) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MultiTaskLasso) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MultiTaskLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultiTaskLassoCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultiTaskLassoCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MultiTaskLassoCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MultiTaskLassoCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MultiTaskLassoCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MultiTaskLassoCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems. ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MultiTaskLassoCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MultinomialNB) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(MultinomialNB) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) - ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MultinomialNB) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(NMF) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(NearestCentroid) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(NearestNeighbors) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Normalizer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(NuSVC) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(NuSVC) ... SKIP /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(NuSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(NuSVR) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(NuSVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Nystroem) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Nystroem) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Nystroem) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Nystroem) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Nystroem) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Nystroem) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Nystroem) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Nystroem) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Nystroem) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Nystroem) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Nystroem) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Nystroem) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Nystroem) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(Nystroem) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(Nystroem) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn("n_components > n_samples. This is not possible.\n" ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(Nystroem) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(Nystroem) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Nystroem) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Nystroem) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Nystroem) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Nystroem) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Nystroem) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Nystroem) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Nystroem) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Nystroem) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(OAS) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(OneClassSVM) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(OneClassSVM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(OrthogonalMatchingPursuit) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(OrthogonalMatchingPursuitCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PLSCanonical) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PLSCanonical) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PLSCanonical) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(PLSCanonical) ... SKIP /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(PLSCanonical) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1 warnings.warn('Y residual constant at iteration %s' % k) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PLSCanonical) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(PLSRegression) ... SKIP /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PLSRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PLSSVD) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PassiveAggressiveRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Perceptron) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(QuadraticDiscriminantAnalysis) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py:682: UserWarning: Variables are collinear warnings.warn("Variables are collinear") ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(QuadraticDiscriminantAnalysis) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py:682: UserWarning: Variables are collinear warnings.warn("Variables are collinear") ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(QuadraticDiscriminantAnalysis) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(QuantileTransformer) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RANSACRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RANSACRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RBFSampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RadiusNeighborsClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RadiusNeighborsRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RandomForestClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RandomForestClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RandomForestRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RandomForestRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLasso is deprecated; The class RandomizedLasso is deprecated in 0.19 and will be removed in 0.21. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RandomizedLasso) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLogisticRegression is deprecated; The class RandomizedLogisticRegression is deprecated in 0.19 and will be removed in 0.21. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RandomizedLogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedPCA is deprecated; RandomizedPCA was deprecated in 0.18 and will be removed in 0.20. Use PCA(svd_solver='randomized') instead. The new implementation DOES NOT store whiten ``components_``. Apply transform to get them. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RandomizedPCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Ridge) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Ridge) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RidgeCV) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RidgeCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RidgeClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RidgeClassifierCV) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RobustScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SGDClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SGDClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SGDRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SGDRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SVC) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SVR) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight. /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SVR) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SelectFdr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SelectFpr) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SelectFwe) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SelectKBest) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SelectPercentile) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ShrunkCovariance) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SkewedChi2Sampler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SparsePCA) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SparseRandomProjection) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SpectralClustering) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SpectralEmbedding) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected. warnings.warn("Graph is not fully connected, spectral embedding" ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SpectralEmbedding) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected. warnings.warn("Graph is not fully connected, spectral embedding" /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected. warnings.warn("Graph is not fully connected, spectral embedding" ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SpectralEmbedding) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected. warnings.warn("Graph is not fully connected, spectral embedding" ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SpectralEmbedding) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected. warnings.warn("Graph is not fully connected, spectral embedding" ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SpectralEmbedding) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SpectralEmbedding) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected. warnings.warn("Graph is not fully connected, spectral embedding" ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(StandardScaler) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(TSNE) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(TheilSenRegressor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(TheilSenRegressor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(TheilSenRegressor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(TheilSenRegressor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(TheilSenRegressor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(TheilSenRegressor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(TheilSenRegressor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(TheilSenRegressor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(TheilSenRegressor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(TheilSenRegressor) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(TheilSenRegressor) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. "".format(max_iter=max_iter), ConvergenceWarning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class VBGMM is deprecated; The `VBGMM` class is not working correctly and it's better to use `sklearn.mixture.BayesianGaussianMixture` class with parameter `weight_concentration_prior_type='dirichlet_distribution'` instead. VBGMM is deprecated in 0.18 and will be removed in 0.20. warnings.warn(msg, category=DeprecationWarning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(VBGMM) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(VarianceThreshold) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(VarianceThreshold) ... ok sklearn.tests.test_common.test_configure ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(LinearSVC) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(LogisticRegression) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(LogisticRegressionCV) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_split.py:605: Warning: The least populated class in y has only 2 members, which is too few. The minimum number of members in any class cannot be less than n_splits=3. % (min_groups, self.n_splits)), Warning) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_split.py:605: Warning: The least populated class in y has only 2 members, which is too few. The minimum number of members in any class cannot be less than n_splits=3. % (min_groups, self.n_splits)), Warning) ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(PassiveAggressiveClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(Perceptron) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(RidgeClassifier) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(RidgeClassifierCV) ... ok /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(SGDClassifier) ... ok sklearn.tests.test_common.test_root_import_all_completeness ... ok sklearn.tests.test_common.test_all_tests_are_importable ... ok sklearn.tests.test_common.test_import_all_consistency ... ok sklearn.tests.test_config.test_config_context ... ok sklearn.tests.test_config.test_config_context_exception ... ok sklearn.tests.test_config.test_set_config ... ok sklearn.tests.test_cross_validation.test_kfold_valueerrors ... ok sklearn.tests.test_cross_validation.test_kfold_indices ... ok sklearn.tests.test_cross_validation.test_kfold_no_shuffle ... ok sklearn.tests.test_cross_validation.test_stratified_kfold_no_shuffle ... ok sklearn.tests.test_cross_validation.test_stratified_kfold_ratios ... ok sklearn.tests.test_cross_validation.test_kfold_balance ... ok sklearn.tests.test_cross_validation.test_cross_val_generator_with_default_indices ... ok sklearn.tests.test_cross_validation.test_stratifiedkfold_balance ... ok sklearn.tests.test_cross_validation.test_shuffle_kfold ... ok sklearn.tests.test_cross_validation.test_shuffle_stratifiedkfold ... ok sklearn.tests.test_cross_validation.test_kfold_can_detect_dependent_samples_on_digits ... ok sklearn.tests.test_cross_validation.test_label_kfold ... ok sklearn.tests.test_cross_validation.test_shuffle_split ... ok sklearn.tests.test_cross_validation.test_stratified_shuffle_split_init ... ok sklearn.tests.test_cross_validation.test_stratified_shuffle_split_iter ... ok sklearn.tests.test_cross_validation.test_stratified_shuffle_split_even ... ok sklearn.tests.test_cross_validation.test_stratified_shuffle_split_overlap_train_test_bug ... ok sklearn.tests.test_cross_validation.test_predefinedsplit_with_kfold_split ... ok sklearn.tests.test_cross_validation.test_label_shuffle_split ... ok sklearn.tests.test_cross_validation.test_leave_label_out_changing_labels ... ok sklearn.tests.test_cross_validation.test_cross_val_score ... ok sklearn.tests.test_cross_validation.test_cross_val_score_pandas ... ok sklearn.tests.test_cross_validation.test_cross_val_score_mask ... ok sklearn.tests.test_cross_validation.test_cross_val_score_precomputed ... ok sklearn.tests.test_cross_validation.test_cross_val_score_fit_params ... ok sklearn.tests.test_cross_validation.test_cross_val_score_score_func ... ok sklearn.tests.test_cross_validation.test_cross_val_score_errors ... ok sklearn.tests.test_cross_validation.test_train_test_split_errors ... ok sklearn.tests.test_cross_validation.test_train_test_split ... ok sklearn.tests.test_cross_validation.train_test_split_pandas ... ok sklearn.tests.test_cross_validation.train_test_split_mock_pandas ... ok sklearn.tests.test_cross_validation.test_cross_val_score_with_score_func_classification ... ok sklearn.tests.test_cross_validation.test_cross_val_score_with_score_func_regression ... ok sklearn.tests.test_cross_validation.test_permutation_score ... ok sklearn.tests.test_cross_validation.test_cross_val_generator_with_indices ... ok sklearn.tests.test_cross_validation.test_shufflesplit_errors ... ok sklearn.tests.test_cross_validation.test_shufflesplit_reproducible ... ok sklearn.tests.test_cross_validation.test_safe_split_with_precomputed_kernel ... ok sklearn.tests.test_cross_validation.test_cross_val_score_allow_nans ... ok sklearn.tests.test_cross_validation.test_train_test_split_allow_nans ... ok sklearn.tests.test_cross_validation.test_permutation_test_score_allow_nans ... ok sklearn.tests.test_cross_validation.test_check_cv_return_types ... ok sklearn.tests.test_cross_validation.test_cross_val_score_multilabel ... ok sklearn.tests.test_cross_validation.test_cross_val_predict ... ok sklearn.tests.test_cross_validation.test_cross_val_predict_input_types ... ok sklearn.tests.test_cross_validation.test_cross_val_predict_pandas ... ok sklearn.tests.test_cross_validation.test_sparse_fit_params ... ok sklearn.tests.test_cross_validation.test_check_is_partition ... ok sklearn.tests.test_cross_validation.test_cross_val_predict_sparse_prediction ... ok sklearn.tests.test_discriminant_analysis.test_lda_predict ... ok sklearn.tests.test_discriminant_analysis.test_lda_priors ... ok sklearn.tests.test_discriminant_analysis.test_lda_coefs ... ok sklearn.tests.test_discriminant_analysis.test_lda_transform ... ok sklearn.tests.test_discriminant_analysis.test_lda_explained_variance_ratio ... ok sklearn.tests.test_discriminant_analysis.test_lda_orthogonality ... ok sklearn.tests.test_discriminant_analysis.test_lda_scaling ... ok sklearn.tests.test_discriminant_analysis.test_lda_store_covariance ... ok sklearn.tests.test_discriminant_analysis.test_qda ... ok sklearn.tests.test_discriminant_analysis.test_qda_priors ... ok sklearn.tests.test_discriminant_analysis.test_qda_store_covariance ... ok sklearn.tests.test_discriminant_analysis.test_qda_deprecation ... ok sklearn.tests.test_discriminant_analysis.test_qda_regularization ... ok sklearn.tests.test_discriminant_analysis.test_covariance ... ok sklearn.tests.test_docstring_parameters.test_docstring_parameters ... SKIP: Not testing docstring parameter consistency sklearn.tests.test_docstring_parameters.test_tabs ... ok sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy ... ok sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy_multioutput ... ok sklearn.tests.test_dummy.test_stratified_strategy ... ok sklearn.tests.test_dummy.test_stratified_strategy_multioutput ... ok sklearn.tests.test_dummy.test_uniform_strategy ... ok sklearn.tests.test_dummy.test_uniform_strategy_multioutput ... ok sklearn.tests.test_dummy.test_string_labels ... ok sklearn.tests.test_dummy.test_classifier_exceptions ... ok sklearn.tests.test_dummy.test_mean_strategy_regressor ... ok sklearn.tests.test_dummy.test_mean_strategy_multioutput_regressor ... ok sklearn.tests.test_dummy.test_regressor_exceptions ... ok sklearn.tests.test_dummy.test_median_strategy_regressor ... ok sklearn.tests.test_dummy.test_median_strategy_multioutput_regressor ... ok sklearn.tests.test_dummy.test_quantile_strategy_regressor ... ok sklearn.tests.test_dummy.test_quantile_strategy_multioutput_regressor ... ok sklearn.tests.test_dummy.test_quantile_invalid ... ok sklearn.tests.test_dummy.test_quantile_strategy_empty_train ... ok sklearn.tests.test_dummy.test_constant_strategy_regressor ... ok sklearn.tests.test_dummy.test_constant_strategy_multioutput_regressor ... ok sklearn.tests.test_dummy.test_y_mean_attribute_regressor ... ok sklearn.tests.test_dummy.test_unknown_strategey_regressor ... ok sklearn.tests.test_dummy.test_constants_not_specified_regressor ... ok sklearn.tests.test_dummy.test_constant_size_multioutput_regressor ... ok sklearn.tests.test_dummy.test_constant_strategy ... ok sklearn.tests.test_dummy.test_constant_strategy_multioutput ... ok sklearn.tests.test_dummy.test_constant_strategy_exceptions ... ok sklearn.tests.test_dummy.test_classification_sample_weight ... ok sklearn.tests.test_dummy.test_constant_strategy_sparse_target ... ok sklearn.tests.test_dummy.test_uniform_strategy_sparse_target_warning ... ok sklearn.tests.test_dummy.test_stratified_strategy_sparse_target ... ok sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy_sparse_target ... ok sklearn.tests.test_dummy.test_dummy_regressor_sample_weight ... ok sklearn.tests.test_dummy.test_dummy_classifier_on_nan_value ... ok sklearn.tests.test_dummy.test_dummy_regressor_on_nan_value ... ok sklearn.tests.test_grid_search.test_parameter_grid ... ok sklearn.tests.test_grid_search.test_grid_search ... [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s [Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s [Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished ok sklearn.tests.test_grid_search.test_transform_inverse_transform_round_trip ... [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s [Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s [Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished ok sklearn.tests.test_grid_search.test_grid_search_score_method ... ok sklearn.tests.test_grid_search.test_trivial_grid_scores ... ok sklearn.tests.test_grid_search.test_no_refit ... ok sklearn.tests.test_grid_search.test_grid_search_error ... ok sklearn.tests.test_grid_search.test_grid_search_iid ... ok sklearn.tests.test_grid_search.test_grid_search_no_score ... ok sklearn.tests.test_grid_search.test_refit ... ok sklearn.tests.test_grid_search.test_grid_search_one_grid_point ... ok sklearn.tests.test_grid_search.test_grid_search_bad_param_grid ... ok sklearn.tests.test_grid_search.test_grid_search_sparse ... ok sklearn.tests.test_grid_search.test_grid_search_sparse_scoring ... ok sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel ... ok sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel_error_nonsquare ... ok sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel_error_kernel_function ... ok sklearn.tests.test_grid_search.test_gridsearch_nd ... ok sklearn.tests.test_grid_search.test_X_as_list ... ok sklearn.tests.test_grid_search.test_y_as_list ... ok sklearn.tests.test_grid_search.test_pandas_input ... ok sklearn.tests.test_grid_search.test_unsupervised_grid_search ... ok sklearn.tests.test_grid_search.test_gridsearch_no_predict ... ok sklearn.tests.test_grid_search.test_param_sampler ... ok sklearn.tests.test_grid_search.test_randomized_search_grid_scores ... ok sklearn.tests.test_grid_search.test_grid_search_score_consistency ... ok sklearn.tests.test_grid_search.test_pickle ... ok sklearn.tests.test_grid_search.test_grid_search_with_multioutput_data ... ok sklearn.tests.test_grid_search.test_predict_proba_disabled ... ok sklearn.tests.test_grid_search.test_grid_search_allows_nans ... ok sklearn.tests.test_grid_search.test_grid_search_failing_classifier ... ok sklearn.tests.test_grid_search.test_grid_search_failing_classifier_raise ... ok sklearn.tests.test_grid_search.test_parameters_sampler_replacement ... ok sklearn.tests.test_grid_search.test_classes__property ... ok sklearn.tests.test_init.test_import_skl ... ok sklearn.tests.test_isotonic.test_permutation_invariance ... ok sklearn.tests.test_isotonic.test_check_increasing_small_number_of_samples ... ok sklearn.tests.test_isotonic.test_check_increasing_up ... ok sklearn.tests.test_isotonic.test_check_increasing_up_extreme ... ok sklearn.tests.test_isotonic.test_check_increasing_down ... ok sklearn.tests.test_isotonic.test_check_increasing_down_extreme ... ok sklearn.tests.test_isotonic.test_check_ci_warn ... ok sklearn.tests.test_isotonic.test_isotonic_regression ... ok sklearn.tests.test_isotonic.test_isotonic_regression_ties_min ... ok sklearn.tests.test_isotonic.test_isotonic_regression_ties_max ... ok Test isotonic regression fit, transform and fit_transform ... ok sklearn.tests.test_isotonic.test_isotonic_regression_reversed ... ok sklearn.tests.test_isotonic.test_isotonic_regression_auto_decreasing ... ok sklearn.tests.test_isotonic.test_isotonic_regression_auto_increasing ... ok sklearn.tests.test_isotonic.test_assert_raises_exceptions ... ok sklearn.tests.test_isotonic.test_isotonic_sample_weight_parameter_default_value ... ok sklearn.tests.test_isotonic.test_isotonic_min_max_boundaries ... ok sklearn.tests.test_isotonic.test_isotonic_sample_weight ... ok sklearn.tests.test_isotonic.test_isotonic_regression_oob_raise ... ok sklearn.tests.test_isotonic.test_isotonic_regression_oob_clip ... ok sklearn.tests.test_isotonic.test_isotonic_regression_oob_nan ... ok sklearn.tests.test_isotonic.test_isotonic_regression_oob_bad ... ok sklearn.tests.test_isotonic.test_isotonic_regression_oob_bad_after ... ok sklearn.tests.test_isotonic.test_isotonic_regression_pickle ... ok sklearn.tests.test_isotonic.test_isotonic_duplicate_min_entry ... ok sklearn.tests.test_isotonic.test_isotonic_ymin_ymax ... ok sklearn.tests.test_isotonic.test_isotonic_zero_weight_loop ... ok sklearn.tests.test_isotonic.test_fast_predict ... ok sklearn.tests.test_isotonic.test_isotonic_copy_before_fit ... ok sklearn.tests.test_kernel_approximation.test_additive_chi2_sampler ... ok sklearn.tests.test_kernel_approximation.test_skewed_chi2_sampler ... ok sklearn.tests.test_kernel_approximation.test_rbf_sampler ... ok sklearn.tests.test_kernel_approximation.test_input_validation ... ok sklearn.tests.test_kernel_approximation.test_nystroem_approximation ... ok sklearn.tests.test_kernel_approximation.test_nystroem_default_parameters ... ok sklearn.tests.test_kernel_approximation.test_nystroem_singular_kernel ... ok sklearn.tests.test_kernel_approximation.test_nystroem_poly_kernel_params ... ok sklearn.tests.test_kernel_approximation.test_nystroem_callable ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_csr ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_csc ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_singular_kernel ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_precomputed ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_precomputed_kernel_unchanged ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_sample_weights ... ok sklearn.tests.test_kernel_ridge.test_kernel_ridge_multi_output ... ok sklearn.tests.test_learning_curve.test_learning_curve ... ok sklearn.tests.test_learning_curve.test_learning_curve_unsupervised ... ok sklearn.tests.test_learning_curve.test_learning_curve_verbose ... [Parallel(n_jobs=1)]: Done 15 out of 15 | elapsed: 0.0s finished ok sklearn.tests.test_learning_curve.test_learning_curve_error_score ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_validation.py:1686: FitFailedWarning: Classifier fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details: ValueError() "Details: \n%r" % (error_score, e), FitFailedWarning) ok sklearn.tests.test_learning_curve.test_learning_curve_error_score_default_raise ... ok sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning_not_possible ... ok sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning ... ok sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning_unsupervised ... ok sklearn.tests.test_learning_curve.test_learning_curve_batch_and_incremental_learning_are_equal ... ok sklearn.tests.test_learning_curve.test_learning_curve_n_sample_range_out_of_bounds ... ok sklearn.tests.test_learning_curve.test_learning_curve_remove_duplicate_sample_sizes ... ok sklearn.tests.test_learning_curve.test_learning_curve_with_boolean_indices ... ok sklearn.tests.test_learning_curve.test_validation_curve ... ok sklearn.tests.test_learning_curve.test_validation_curve_clone_estimator ... ok sklearn.tests.test_metaestimators.test_metaestimator_delegation ... ok sklearn.tests.test_multiclass.test_ovr_exceptions ... ok sklearn.tests.test_multiclass.test_check_classification_targets ... ok sklearn.tests.test_multiclass.test_ovr_fit_predict ... ok sklearn.tests.test_multiclass.test_ovr_partial_fit ... ok sklearn.tests.test_multiclass.test_ovr_partial_fit_exceptions ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) - ok sklearn.tests.test_multiclass.test_ovr_ovo_regressor ... ok sklearn.tests.test_multiclass.test_ovr_fit_predict_sparse ... ok sklearn.tests.test_multiclass.test_ovr_always_present ... ok sklearn.tests.test_multiclass.test_ovr_multiclass ... ok sklearn.tests.test_multiclass.test_ovr_binary ... ok sklearn.tests.test_multiclass.test_ovr_multilabel ... ok sklearn.tests.test_multiclass.test_ovr_fit_predict_svc ... ok sklearn.tests.test_multiclass.test_ovr_multilabel_dataset ... ok sklearn.tests.test_multiclass.test_ovr_multilabel_predict_proba ... ok sklearn.tests.test_multiclass.test_ovr_single_label_predict_proba ... ok sklearn.tests.test_multiclass.test_ovr_multilabel_decision_function ... ok sklearn.tests.test_multiclass.test_ovr_single_label_decision_function ... ok sklearn.tests.test_multiclass.test_ovr_gridsearch ... ok sklearn.tests.test_multiclass.test_ovr_pipeline ... ok sklearn.tests.test_multiclass.test_ovr_coef_ ... ok sklearn.tests.test_multiclass.test_ovr_coef_exceptions ... ok sklearn.tests.test_multiclass.test_ovo_exceptions ... ok sklearn.tests.test_multiclass.test_ovo_fit_on_list ... ok sklearn.tests.test_multiclass.test_ovo_fit_predict ... ok sklearn.tests.test_multiclass.test_ovo_partial_fit_predict ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) - /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) - /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) - ok sklearn.tests.test_multiclass.test_ovo_decision_function ... ok sklearn.tests.test_multiclass.test_ovo_gridsearch ... ok sklearn.tests.test_multiclass.test_ovo_ties ... ok sklearn.tests.test_multiclass.test_ovo_ties2 ... ok sklearn.tests.test_multiclass.test_ovo_string_y ... ok sklearn.tests.test_multiclass.test_ovo_one_class ... ok sklearn.tests.test_multiclass.test_ovo_float_y ... ok sklearn.tests.test_multiclass.test_ecoc_exceptions ... ok sklearn.tests.test_multiclass.test_ecoc_fit_predict ... ok sklearn.tests.test_multiclass.test_ecoc_gridsearch ... ok sklearn.tests.test_multiclass.test_ecoc_float_y ... ok sklearn.tests.test_multiclass.test_pairwise_indices ... ok sklearn.tests.test_multiclass.test_pairwise_attribute ... ok sklearn.tests.test_multiclass.test_pairwise_cross_val_score ... ok sklearn.tests.test_multioutput.test_multi_target_regression ... ok sklearn.tests.test_multioutput.test_multi_target_regression_partial_fit ... ok sklearn.tests.test_multioutput.test_multi_target_regression_one_target ... ok sklearn.tests.test_multioutput.test_multi_target_sparse_regression ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py:304: UserWarning: Can't check dok sparse matrix for nan or inf. % spmatrix.format) /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py:304: UserWarning: Can't check dok sparse matrix for nan or inf. % spmatrix.format) ok sklearn.tests.test_multioutput.test_multi_target_sample_weights_api ... ok sklearn.tests.test_multioutput.test_multi_target_sample_weight_partial_fit ... ok sklearn.tests.test_multioutput.test_multi_target_sample_weights ... ok sklearn.tests.test_multioutput.test_multi_output_classification_partial_fit_parallelism ... ok sklearn.tests.test_multioutput.test_multi_output_classification_partial_fit ... ok sklearn.tests.test_multioutput.test_mutli_output_classifiation_partial_fit_no_first_classes_exception ... ok sklearn.tests.test_multioutput.test_multi_output_classification ... ok sklearn.tests.test_multioutput.test_multiclass_multioutput_estimator ... ok sklearn.tests.test_multioutput.test_multiclass_multioutput_estimator_predict_proba ... ok sklearn.tests.test_multioutput.test_multi_output_classification_sample_weights ... ok sklearn.tests.test_multioutput.test_multi_output_classification_partial_fit_sample_weights ... ok sklearn.tests.test_multioutput.test_multi_output_exceptions ... ok sklearn.tests.test_multioutput.test_classifier_chain_fit_and_predict_with_logistic_regression ... ok sklearn.tests.test_multioutput.test_classifier_chain_fit_and_predict_with_linear_svc ... ok sklearn.tests.test_multioutput.test_classifier_chain_fit_and_predict_with_sparse_data ... ok sklearn.tests.test_multioutput.test_classifier_chain_fit_and_predict_with_sparse_data_and_cv ... ok sklearn.tests.test_multioutput.test_classifier_chain_random_order ... ok sklearn.tests.test_multioutput.test_classifier_chain_crossval_fit_and_predict ... ok sklearn.tests.test_multioutput.test_classifier_chain_vs_independent_models ... ok sklearn.tests.test_naive_bayes.test_gnb ... ok sklearn.tests.test_naive_bayes.test_gnb_prior ... ok Test whether sample weights are properly used in GNB. ... ok Test whether an error is raised in case of negative priors ... ok Test whether the class prior override is properly used ... ok Test whether an error is raised if the number of prior is different ... ok Test if an error is raised if the sum of prior greater than one ... ok Test if good prediction when class prior favor largely one class ... ok Test when the partial fit is called without any data ... ok Test whether an error is raised when the number of feature changes ... ok sklearn.tests.test_naive_bayes.test_discrete_prior ... ok sklearn.tests.test_naive_bayes.test_mnnb ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) - ok sklearn.tests.test_naive_bayes.test_discretenb_partial_fit(,) ... ok sklearn.tests.test_naive_bayes.test_discretenb_partial_fit(,) ... ok sklearn.tests.test_naive_bayes.test_gnb_partial_fit ... ok sklearn.tests.test_naive_bayes.test_discretenb_pickle ... ok sklearn.tests.test_naive_bayes.test_input_check_fit ... ok sklearn.tests.test_naive_bayes.test_input_check_partial_fit ... ok sklearn.tests.test_naive_bayes.test_discretenb_predict_proba ... ok sklearn.tests.test_naive_bayes.test_discretenb_uniform_prior ... ok sklearn.tests.test_naive_bayes.test_discretenb_provide_prior ... ok sklearn.tests.test_naive_bayes.test_discretenb_provide_prior_with_partial_fit ... ok sklearn.tests.test_naive_bayes.test_sample_weight_multiclass(,) ... /<>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log self.class_log_prior_ = (np.log(self.class_count_) - ok sklearn.tests.test_naive_bayes.test_sample_weight_multiclass(,) ... ok sklearn.tests.test_naive_bayes.test_sample_weight_mnb ... ok sklearn.tests.test_naive_bayes.test_coef_intercept_shape ... ok sklearn.tests.test_naive_bayes.test_check_accuracy_on_digits ... ok sklearn.tests.test_naive_bayes.test_feature_log_prob_bnb ... ok sklearn.tests.test_naive_bayes.test_bnb ... ok sklearn.tests.test_naive_bayes.test_naive_bayes_scale_invariance ... ok sklearn.tests.test_naive_bayes.test_alpha ... ok sklearn.tests.test_pipeline.test_pipeline_init ... ok sklearn.tests.test_pipeline.test_pipeline_init_tuple ... ok sklearn.tests.test_pipeline.test_pipeline_methods_anova ... ok sklearn.tests.test_pipeline.test_pipeline_fit_params ... ok sklearn.tests.test_pipeline.test_pipeline_sample_weight_supported ... ok sklearn.tests.test_pipeline.test_pipeline_sample_weight_unsupported ... ok sklearn.tests.test_pipeline.test_pipeline_raise_set_params_error ... ok sklearn.tests.test_pipeline.test_pipeline_methods_pca_svm ... ok sklearn.tests.test_pipeline.test_pipeline_methods_preprocessing_svm ... ok sklearn.tests.test_pipeline.test_fit_predict_on_pipeline ... ok sklearn.tests.test_pipeline.test_fit_predict_on_pipeline_without_fit_predict ... ok sklearn.tests.test_pipeline.test_fit_predict_with_intermediate_fit_params ... ok sklearn.tests.test_pipeline.test_feature_union ... ok sklearn.tests.test_pipeline.test_make_union ... ok sklearn.tests.test_pipeline.test_make_union_kwargs ... ok sklearn.tests.test_pipeline.test_pipeline_transform ... ok sklearn.tests.test_pipeline.test_pipeline_fit_transform ... ok sklearn.tests.test_pipeline.test_set_pipeline_steps ... ok sklearn.tests.test_pipeline.test_pipeline_named_steps ... ok sklearn.tests.test_pipeline.test_set_pipeline_step_none ... ok sklearn.tests.test_pipeline.test_pipeline_ducktyping ... ok sklearn.tests.test_pipeline.test_make_pipeline ... ok sklearn.tests.test_pipeline.test_feature_union_weights ... ok sklearn.tests.test_pipeline.test_feature_union_parallel ... ok sklearn.tests.test_pipeline.test_feature_union_feature_names ... ok sklearn.tests.test_pipeline.test_classes_property ... ok sklearn.tests.test_pipeline.test_set_feature_union_steps ... ok sklearn.tests.test_pipeline.test_set_feature_union_step_none ... ok sklearn.tests.test_pipeline.test_step_name_validation ... ok sklearn.tests.test_pipeline.test_set_params_nested_pipeline ... ok sklearn.tests.test_pipeline.test_pipeline_wrong_memory ... ok sklearn.tests.test_pipeline.test_pipeline_with_cache_attribute ... ok sklearn.tests.test_pipeline.test_pipeline_memory ... ok sklearn.tests.test_pipeline.test_make_pipeline_memory ... ok sklearn.tests.test_random_projection.test_invalid_jl_domain ... ok sklearn.tests.test_random_projection.test_input_size_jl_min_dim ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(,) ... ok sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(. at 0xffff94d969d8>,) ... ok sklearn.tests.test_random_projection.test_gaussian_random_matrix ... ok sklearn.tests.test_random_projection.test_sparse_random_matrix ... ok sklearn.tests.test_random_projection.test_sparse_random_projection_transformer_invalid_density ... ok sklearn.tests.test_random_projection.test_random_projection_transformer_invalid_input ... ok sklearn.tests.test_random_projection.test_try_to_transform_before_fit ... ok sklearn.tests.test_random_projection.test_too_many_samples_to_find_a_safe_embedding ... ok sklearn.tests.test_random_projection.test_random_projection_embedding_quality ... ok sklearn.tests.test_random_projection.test_SparseRandomProjection_output_representation ... ok sklearn.tests.test_random_projection.test_correct_RandomProjection_dimensions_embedding ... ok sklearn.tests.test_random_projection.test_warning_n_components_greater_than_n_features ... ok sklearn.tests.test_random_projection.test_works_with_sparse_data ... ok ---------------------------------------------------------------------- Ran 8008 tests in 1647.741s OK (SKIP=60) Failure: ModuleNotFoundError (No module named 'github_link') ... ERROR Doctest: faq.rst ... ok ====================================================================== ERROR: Failure: ModuleNotFoundError (No module named 'github_link') ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python3/dist-packages/nose/failure.py", line 39, in runTest raise self.exc_val.with_traceback(self.tb) File "/usr/lib/python3/dist-packages/nose/loader.py", line 417, in loadTestsFromName addr.filename, addr.module) File "/usr/lib/python3/dist-packages/nose/importer.py", line 47, in importFromPath return self.importFromDir(dir_path, fqname) File "/usr/lib/python3/dist-packages/nose/importer.py", line 94, in importFromDir mod = load_module(part_fqname, fh, filename, desc) File "/usr/lib/python3.6/imp.py", line 235, in load_module return load_source(name, filename, file) File "/usr/lib/python3.6/imp.py", line 172, in load_source module = _load(spec) File "", line 684, in _load File "", line 665, in _load_unlocked File "", line 678, in exec_module File "", line 219, in _call_with_frames_removed File "/<>/doc/conf.py", line 26, in from github_link import make_linkcode_resolve ModuleNotFoundError: No module named 'github_link' ---------------------------------------------------------------------- Ran 2 tests in 5.177s FAILED (errors=1) : # Explicit build system to avoid use of all-in-1 Makefile dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh override_dh_auto_install --buildsystem=python_distutils --with python2,python3,autoreconf make[1]: Leaving directory '/<>' dh_install -a -O--buildsystem=python_distutils debian/rules override_dh_installdocs make[1]: Entering directory '/<>' Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! : # Build Documentation using installed scikits.learn dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! : # not building documentation in -a : # Use jquery from Debian package, so prune shipped one rm doc/_build/html/stable/_static/jquery.js rm: cannot remove 'doc/_build/html/stable/_static/jquery.js': No such file or directory debian/rules:101: recipe for target 'override_dh_installdocs' failed make[1]: [override_dh_installdocs] Error 1 (ignored) rm doc/_build/html/stable/_static/underscore.js rm: cannot remove 'doc/_build/html/stable/_static/underscore.js': No such file or directory debian/rules:101: recipe for target 'override_dh_installdocs' failed make[1]: [override_dh_installdocs] Error 1 (ignored) dh_installdocs -A AUTHORS.rst README*.rst make[1]: Leaving directory '/<>' debian/rules override_dh_installchangelogs make[1]: Entering directory '/<>' Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh_installchangelogs doc/whats_new.rst dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! make[1]: Leaving directory '/<>' dh_installexamples -a -O--buildsystem=python_distutils debian/rules override_dh_python2 make[1]: Entering directory '/<>' Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! [ ! -e debian/python-sklearn ] \ || find debian/python-sklearn/usr/lib -name "*.so" -delete; dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! [ -e /usr/bin/dh_numpy ] && dh_numpy -ppython-sklearn-lib || : : # Prune scikits/__init__.py to avoid conflicts find debian -wholename \*scikits/__init__.py -delete : # Move scikits. space into a compatibility package if [ 2 -eq 2 ]; then \ set -e; \ find debian -wholename \*scikits -type d | while read skd; do \ skbd=$(dirname $skd); \ skbd_=$(echo $skbd | sed -e 's/sklearn/scikits-learn/g'); \ mkdir -p $skbd_; \ mv $skd $skbd_; \ done; \ fi dh_python2 I: dh_python2 fs:322: renaming _isotonic.so to _isotonic.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming _check_build.so to _check_build.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming _gradient_boosting.so to _gradient_boosting.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming _svmlight_format.so to _svmlight_format.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming ball_tree.so to ball_tree.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming dist_metrics.so to dist_metrics.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming kd_tree.so to kd_tree.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming quad_tree.so to quad_tree.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming typedefs.so to typedefs.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming pairwise_fast.so to pairwise_fast.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming expected_mutual_info_fast.so to expected_mutual_info_fast.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming cd_fast.so to cd_fast.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming sag_fast.so to sag_fast.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming sgd_fast.so to sgd_fast.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming _barnes_hut_tsne.so to _barnes_hut_tsne.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming _utils.so to _utils.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming _logistic_sigmoid.so to _logistic_sigmoid.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming _random.so to _random.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming arrayfuncs.so to arrayfuncs.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming fast_dict.so to fast_dict.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming graph_shortest_path.so to graph_shortest_path.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming lgamma.so to lgamma.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming murmurhash.so to murmurhash.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming seq_dataset.so to seq_dataset.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming sparsefuncs_fast.so to sparsefuncs_fast.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming weight_vector.so to weight_vector.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming _criterion.so to _criterion.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming _splitter.so to _splitter.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming _tree.so to _tree.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming _utils.so to _utils.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming _dbscan_inner.so to _dbscan_inner.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming _hierarchical.so to _hierarchical.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming _k_means.so to _k_means.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming _k_means_elkan.so to _k_means_elkan.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming _online_lda.so to _online_lda.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming cdnmf_fast.so to cdnmf_fast.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming _hashing.so to _hashing.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming liblinear.so to liblinear.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming libsvm.so to libsvm.aarch64-linux-gnu.so I: dh_python2 fs:322: renaming libsvm_sparse.so to libsvm_sparse.aarch64-linux-gnu.so : # Explicit build system to avoid use of all-in-1 Makefile dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh override_dh_python2 --buildsystem=python_distutils --with python2,python3,autoreconf make[1]: Leaving directory '/<>' debian/rules override_dh_python3 make[1]: Entering directory '/<>' Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! [ ! -e debian/python3-sklearn ] \ || find debian/python3-sklearn/usr/lib -name "*.so" -delete; dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! [ -e /usr/bin/dh_numpy3 ] && dh_numpy3 -ppython3-sklearn-lib || : : # Prune scikits/__init__.py to avoid conflicts find debian -wholename \*scikits/__init__.py -delete : # Move scikits. space into a compatibility package if [ 3 -eq 2 ]; then \ set -e; \ find debian -wholename \*scikits -type d | while read skd; do \ skbd=$(dirname $skd); \ skbd_=$(echo $skbd | sed -e 's/sklearn/scikits-learn/g'); \ mkdir -p $skbd_; \ mv $skd $skbd_; \ done; \ fi dh_python3 : # Explicit build system to avoid use of all-in-1 Makefile dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh override_dh_python3 --buildsystem=python_distutils --with python2,python3,autoreconf make[1]: Leaving directory '/<>' dh_perl -a -O--buildsystem=python_distutils dh_link -a -O--buildsystem=python_distutils dh_strip_nondeterminism -a -O--buildsystem=python_distutils debian/rules override_dh_compress make[1]: Entering directory '/<>' Traceback (most recent call last): File "", line 1, in ImportError: No module named sphinx py3versions: no X-Python3-Version in control file, using supported versions py3versions: no X-Python3-Version in control file, using supported versions dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! dh_compress -X.py -X.html -X.pdf -X.css -X.jpg -X.txt -X.js -X.json -X.rtc -Xobjects.inv dpkg: error: --compare-versions takes three arguments: Type dpkg --help for help about installing and deinstalling packages [*]; Use 'apt' or 'aptitude' for user-friendly package management; Type dpkg -Dhelp for a list of dpkg debug flag values; Type dpkg --force-help for a list of forcing options; Type dpkg-deb --help for help about manipulating *.deb files; Options marked [*] produce a lot of output - pipe it through 'less' or 'more' ! make[1]: Leaving directory '/<>' dh_fixperms -a -O--buildsystem=python_distutils dh_missing -a -O--buildsystem=python_distutils dh_strip -a -O--buildsystem=python_distutils dh_makeshlibs -a -O--buildsystem=python_distutils dh_shlibdeps -a -O--buildsystem=python_distutils dpkg-shlibdeps: warning: package could avoid a useless dependency if debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/svm/libsvm.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/neighbors/quad_tree.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/seq_dataset.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/neighbors/typedefs.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/__check_build/_check_build.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/ensemble/_gradient_boosting.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/weight_vector.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise_fast.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/tree/_utils.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/svm/liblinear.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/manifold/_barnes_hut_tsne.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/decomposition/cdnmf_fast.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/manifold/_utils.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/neighbors/dist_metrics.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/linear_model/sag_fast.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/cluster/_k_means.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/neighbors/kd_tree.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/cluster/_dbscan_inner.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/fast_dict.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/linear_model/cd_fast.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/lgamma.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/_logistic_sigmoid.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/decomposition/_online_lda.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/sparsefuncs_fast.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/datasets/_svmlight_format.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/_hashing.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/graph_shortest_path.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/svm/libsvm_sparse.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/neighbors/ball_tree.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/_random.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/tree/_splitter.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/tree/_tree.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/linear_model/sgd_fast.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/tree/_criterion.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/cluster/_hierarchical.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/expected_mutual_info_fast.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/cluster/_k_means_elkan.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/_isotonic.aarch64-linux-gnu.so debian/python-sklearn-lib/usr/lib/python2.7/dist-packages/sklearn/utils/arrayfuncs.aarch64-linux-gnu.so were not linked against libpthread.so.0 (they use none of the library's symbols) dpkg-shlibdeps: warning: package could avoid a useless dependency if debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/cluster/_k_means_elkan.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/utils/weight_vector.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/neighbors/typedefs.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/utils/arrayfuncs.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/svm/libsvm.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/metrics/cluster/expected_mutual_info_fast.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/linear_model/sgd_fast.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/ensemble/_gradient_boosting.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/decomposition/_online_lda.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/metrics/pairwise_fast.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/utils/fast_dict.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/tree/_utils.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/utils/seq_dataset.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/utils/_logistic_sigmoid.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/neighbors/quad_tree.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/linear_model/sag_fast.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/tree/_tree.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/decomposition/cdnmf_fast.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/neighbors/kd_tree.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/cluster/_hierarchical.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/datasets/_svmlight_format.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/cluster/_k_means.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/tree/_criterion.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/utils/sparsefuncs_fast.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/manifold/_barnes_hut_tsne.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/linear_model/cd_fast.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/__check_build/_check_build.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/neighbors/ball_tree.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/neighbors/dist_metrics.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/manifold/_utils.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/feature_extraction/_hashing.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/tree/_splitter.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/utils/_random.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/utils/graph_shortest_path.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/svm/liblinear.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/svm/libsvm_sparse.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/utils/lgamma.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/cluster/_dbscan_inner.cpython-36m-aarch64-linux-gnu.so debian/python3-sklearn-lib/usr/lib/python3/dist-packages/sklearn/_isotonic.cpython-36m-aarch64-linux-gnu.so were not linked against libpthread.so.0 (they use none of the library's symbols) dh_installdeb -a -O--buildsystem=python_distutils dh_gencontrol -a -O--buildsystem=python_distutils dpkg-gencontrol: warning: Provides field of package python3-sklearn-lib: unknown substitution variable ${python:Provides} dpkg-gencontrol: warning: package python-sklearn-lib: unused substitution variable ${python:Versions} dpkg-gencontrol: warning: package python3-sklearn-lib: unused substitution variable ${python3:Provides} dpkg-gencontrol: warning: package python3-sklearn-lib: unused substitution variable ${python3:Versions} dpkg-gencontrol: warning: package python-sklearn-lib: unused substitution variable ${python:Versions} dpkg-gencontrol: warning: Provides field of package python3-sklearn-lib: unknown substitution variable ${python:Provides} dpkg-gencontrol: warning: package python3-sklearn-lib: unused substitution variable ${python3:Provides} dpkg-gencontrol: warning: package python3-sklearn-lib: unused substitution variable ${python3:Versions} dh_md5sums -a -O--buildsystem=python_distutils dh_builddeb -a -O--buildsystem=python_distutils INFO: pkgstriptranslations version 131 INFO: pkgstriptranslations version 131 INFO: pkgstriptranslations version 131 INFO: pkgstriptranslations version 131 pkgstriptranslations: processing python-sklearn-lib (in debian/python-sklearn-lib); do_strip: , oemstrip: pkgstriptranslations: processing python-sklearn-lib-dbgsym (in debian/.debhelper/python-sklearn-lib/dbgsym-root); do_strip: , oemstrip: pkgstriptranslations: processing python3-sklearn-lib (in debian/python3-sklearn-lib); do_strip: , oemstrip: pkgstriptranslations: processing python3-sklearn-lib-dbgsym (in debian/.debhelper/python3-sklearn-lib/dbgsym-root); do_strip: , oemstrip: pkgmaintainermangler: Maintainer field overridden to "Ubuntu Developers " pkgmaintainermangler: Maintainer field overridden to "Ubuntu Developers " pkgmaintainermangler: Maintainer field overridden to "Ubuntu Developers " pkgstripfiles: processing control file: debian/python-sklearn-lib/DEBIAN/control, package python-sklearn-lib, directory debian/python-sklearn-lib .. removing usr/share/doc/python-sklearn-lib/changelog.gz pkgstripfiles: Truncating usr/share/doc/python-sklearn-lib/changelog.Debian.gz to topmost ten records pkgstripfiles: Running PNG optimization (using 4 cpus) for package python-sklearn-lib ... pkgstripfiles: No PNG files. dpkg-deb: building package 'python-sklearn-lib' in '../python-sklearn-lib_0.19.1-3_arm64.deb'. pkgstripfiles: processing control file: debian/.debhelper/python-sklearn-lib/dbgsym-root/DEBIAN/control, package python-sklearn-lib-dbgsym, directory debian/.debhelper/python-sklearn-lib/dbgsym-root pkgstripfiles: Running PNG optimization (using 4 cpus) for package python-sklearn-lib-dbgsym ... pkgstripfiles: No PNG files. dpkg-deb: building package 'python-sklearn-lib-dbgsym' in 'debian/.debhelper/scratch-space/build-python-sklearn-lib/python-sklearn-lib-dbgsym_0.19.1-3_arm64.deb'. pkgstripfiles: processing control file: debian/python3-sklearn-lib/DEBIAN/control, package python3-sklearn-lib, directory debian/python3-sklearn-lib .. removing usr/share/doc/python3-sklearn-lib/changelog.gz pkgstripfiles: Truncating usr/share/doc/python3-sklearn-lib/changelog.Debian.gz to topmost ten records pkgstripfiles: Running PNG optimization (using 4 cpus) for package python3-sklearn-lib ... pkgstripfiles: No PNG files. dpkg-deb: building package 'python3-sklearn-lib' in '../python3-sklearn-lib_0.19.1-3_arm64.deb'. pkgmaintainermangler: Maintainer field overridden to "Ubuntu Developers " pkgstripfiles: processing control file: debian/.debhelper/python3-sklearn-lib/dbgsym-root/DEBIAN/control, package python3-sklearn-lib-dbgsym, directory debian/.debhelper/python3-sklearn-lib/dbgsym-root pkgstripfiles: Running PNG optimization (using 4 cpus) for package python3-sklearn-lib-dbgsym ... pkgstripfiles: No PNG files. dpkg-deb: building package 'python3-sklearn-lib-dbgsym' in 'debian/.debhelper/scratch-space/build-python3-sklearn-lib/python3-sklearn-lib-dbgsym_0.19.1-3_arm64.deb'. Renaming python-sklearn-lib-dbgsym_0.19.1-3_arm64.deb to python-sklearn-lib-dbgsym_0.19.1-3_arm64.ddeb Renaming python3-sklearn-lib-dbgsym_0.19.1-3_arm64.deb to python3-sklearn-lib-dbgsym_0.19.1-3_arm64.ddeb dpkg-genbuildinfo --build=any dpkg-genchanges --build=any -mLaunchpad Build Daemon >../scikit-learn_0.19.1-3_arm64.changes dpkg-genchanges: info: binary-only arch-specific upload (source code and arch-indep packages not included) dpkg-source --after-build scikit-learn-0.19.1 dpkg-buildpackage: info: binary-only upload (no source included) -------------------------------------------------------------------------------- Build finished at 20180120-1025 Finished -------- I: Built successfully +------------------------------------------------------------------------------+ | Post Build Chroot | +------------------------------------------------------------------------------+ +------------------------------------------------------------------------------+ | Changes | +------------------------------------------------------------------------------+ scikit-learn_0.19.1-3_arm64.changes: ------------------------------------ Format: 1.8 Date: Thu, 04 Jan 2018 08:02:20 -0500 Source: scikit-learn Binary: python-sklearn python-sklearn-lib python3-sklearn python3-sklearn-lib python-sklearn-doc python-scikits-learn Architecture: arm64 Version: 0.19.1-3 Distribution: bionic-proposed Urgency: medium Maintainer: Launchpad Build Daemon Changed-By: Yaroslav Halchenko Description: python-scikits-learn - transitional compatibility package for scikits.learn -> sklearn m python-sklearn - Python modules for machine learning and data mining python-sklearn-doc - documentation and examples for scikit-learn python-sklearn-lib - low-level implementations and bindings for scikit-learn python3-sklearn - Python modules for machine learning and data mining python3-sklearn-lib - low-level implementations and bindings for scikit-learn - Python Changes: scikit-learn (0.19.1-3) unstable; urgency=medium . * debian/patches/changeset_6c99d797d7c71d216503612a242bffb8d006582d.diff to avoid regression due to forgotten in the release fix (see https://github.com/scikit-learn/scikit-learn/issues/9393) It seems that the issue is not deterministic, and although did not reveal itself on a buildd server, might come back. Checksums-Sha1: 1f77926b6792640b1816901dc1ff7c91e43178b1 6167720 python-sklearn-lib-dbgsym_0.19.1-3_arm64.ddeb 1a20c6a924d9ab602bb5a4a510c46dc1900d619c 1151200 python-sklearn-lib_0.19.1-3_arm64.deb 8fd4648b53d6c1c1b8fb053a3658967db1320307 6537416 python3-sklearn-lib-dbgsym_0.19.1-3_arm64.ddeb 67b5e375a2fce1139ea9a5e7834193dd35d32b26 1100236 python3-sklearn-lib_0.19.1-3_arm64.deb 0d0a6a86a78defd502d8a09d4c63f4032e062c93 10339 scikit-learn_0.19.1-3_arm64.buildinfo Checksums-Sha256: ac5ff5fea075301416f1ceed1399b1611300b8dfee1a149d8385b5a1e3893132 6167720 python-sklearn-lib-dbgsym_0.19.1-3_arm64.ddeb 3b8c038270599fc1066471c2d7f8c8c31604bec1f1db3e5f22e8b647a8fdda01 1151200 python-sklearn-lib_0.19.1-3_arm64.deb ee623e2b41d28d07c4f2f6cfcd5ef1533eb370c0d2919fab72d033890bc58006 6537416 python3-sklearn-lib-dbgsym_0.19.1-3_arm64.ddeb 19b6360c203bbe7f93896714eaa7b8d793ee3cf276d71d141120537267855312 1100236 python3-sklearn-lib_0.19.1-3_arm64.deb eaaf91440012bd6e964d5a587d0e1113964ae649f1ccc2f21c4cf19b87a92212 10339 scikit-learn_0.19.1-3_arm64.buildinfo Files: b5af3a1e99fdb373bbd552244fb7370e 6167720 debug optional python-sklearn-lib-dbgsym_0.19.1-3_arm64.ddeb 3976077a6635b82bb0bf3aaea767ef21 1151200 python optional python-sklearn-lib_0.19.1-3_arm64.deb 9d0bd5dda217c7ccc6c70602f333f583 6537416 debug optional python3-sklearn-lib-dbgsym_0.19.1-3_arm64.ddeb b98106a35fa1c940a6725f7e2a3e8efa 1100236 python optional python3-sklearn-lib_0.19.1-3_arm64.deb 49ce6f5387b0290693624f5fd2567d1f 10339 python optional scikit-learn_0.19.1-3_arm64.buildinfo +------------------------------------------------------------------------------+ | Package contents | +------------------------------------------------------------------------------+ python-sklearn-lib_0.19.1-3_arm64.deb ------------------------------------- new debian package, version 2.0. size 1151200 bytes: control archive=2128 bytes. 822 bytes, 18 lines control 4934 bytes, 44 lines md5sums Package: python-sklearn-lib Source: scikit-learn Version: 0.19.1-3 Architecture: arm64 Maintainer: Ubuntu Developers Original-Maintainer: NeuroDebian Team Installed-Size: 6247 Depends: libc6 (>= 2.17), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python-numpy (>= 1:1.13.1), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~) Conflicts: python-scikits-learn-lib Replaces: python-scikits-learn-lib Provides: python2.7-sklearn-lib Section: python Priority: optional Homepage: http://scikit-learn.sourceforge.net Description: low-level implementations and bindings for scikit-learn This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. drwxr-xr-x root/root 0 2018-01-04 13:02 ./ drwxr-xr-x root/root 0 2018-01-04 13:02 ./usr/ drwxr-xr-x root/root 0 2018-01-04 13:02 ./usr/lib/ drwxr-xr-x root/root 0 2018-01-04 13:02 ./usr/lib/python2.7/ drwxr-xr-x root/root 0 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/ drwxr-xr-x root/root 0 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/ drwxr-xr-x root/root 0 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/__check_build/ -rw-r--r-- root/root 10544 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/__check_build/_check_build.aarch64-linux-gnu.so -rw-r--r-- root/root 171560 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/_isotonic.aarch64-linux-gnu.so drwxr-xr-x root/root 0 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/cluster/ -rw-r--r-- root/root 57536 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/cluster/_dbscan_inner.aarch64-linux-gnu.so -rw-r--r-- root/root 217416 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/cluster/_hierarchical.aarch64-linux-gnu.so -rw-r--r-- root/root 379584 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/cluster/_k_means.aarch64-linux-gnu.so -rw-r--r-- root/root 278600 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/cluster/_k_means_elkan.aarch64-linux-gnu.so drwxr-xr-x root/root 0 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/datasets/ -rw-r--r-- root/root 75256 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/datasets/_svmlight_format.aarch64-linux-gnu.so drwxr-xr-x root/root 0 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/decomposition/ -rw-r--r-- root/root 62456 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/decomposition/_online_lda.aarch64-linux-gnu.so -rw-r--r-- root/root 141304 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/decomposition/cdnmf_fast.aarch64-linux-gnu.so drwxr-xr-x root/root 0 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/ensemble/ -rw-r--r-- root/root 196200 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/ensemble/_gradient_boosting.aarch64-linux-gnu.so drwxr-xr-x root/root 0 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/feature_extraction/ -rw-r--r-- root/root 53752 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/feature_extraction/_hashing.aarch64-linux-gnu.so drwxr-xr-x root/root 0 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/linear_model/ -rw-r--r-- root/root 367648 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/linear_model/cd_fast.aarch64-linux-gnu.so -rw-r--r-- root/root 94552 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/linear_model/sag_fast.aarch64-linux-gnu.so -rw-r--r-- root/root 170712 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/linear_model/sgd_fast.aarch64-linux-gnu.so drwxr-xr-x root/root 0 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/manifold/ -rw-r--r-- root/root 183352 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/manifold/_barnes_hut_tsne.aarch64-linux-gnu.so -rw-r--r-- root/root 58328 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/manifold/_utils.aarch64-linux-gnu.so drwxr-xr-x root/root 0 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/metrics/ drwxr-xr-x root/root 0 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/ -rw-r--r-- root/root 95808 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/expected_mutual_info_fast.aarch64-linux-gnu.so -rw-r--r-- root/root 219688 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise_fast.aarch64-linux-gnu.so drwxr-xr-x root/root 0 2018-01-04 13:02 ./usr/lib/python2.7/dist-packages/sklearn/neighbors/ 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NeuroDebian Team Installed-Size: 5839 Depends: libc6 (>= 2.17), libgcc1 (>= 1:3.0), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.13.1), python3-numpy-abi9, python3 (<< 3.7), python3 (>= 3.6~) Section: python Priority: optional Homepage: http://scikit-learn.sourceforge.net Description: low-level implementations and bindings for scikit-learn - Python 3 This is an add-on package for python-sklearn. It provides low-level implementations and custom Python bindings for the LIBSVM library. . 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+------------------------------------------------------------------------------+ | Post Build | +------------------------------------------------------------------------------+ +------------------------------------------------------------------------------+ | Cleanup | +------------------------------------------------------------------------------+ Purging /<> Not removing build depends: as requested +------------------------------------------------------------------------------+ | Summary | +------------------------------------------------------------------------------+ Build Architecture: arm64 Build-Space: 435928 Build-Time: 5443 Distribution: bionic-proposed Host Architecture: arm64 Install-Time: 241 Job: scikit-learn_0.19.1-3.dsc Machine Architecture: arm64 Package: scikit-learn Package-Time: 5692 Source-Version: 0.19.1-3 Space: 435928 Status: successful Version: 0.19.1-3 -------------------------------------------------------------------------------- Finished at 20180120-1025 Build needed 01:34:52, 435928k disc space RUN: /usr/share/launchpad-buildd/slavebin/in-target scan-for-processes --backend=chroot --series=bionic --arch=arm64 PACKAGEBUILD-14218464 Scanning for processes to kill in build PACKAGEBUILD-14218464 RUN: /usr/share/launchpad-buildd/slavebin/in-target umount-chroot --backend=chroot --series=bionic --arch=arm64 PACKAGEBUILD-14218464 Stopping target for build PACKAGEBUILD-14218464 RUN: /usr/share/launchpad-buildd/slavebin/in-target remove-build --backend=chroot --series=bionic --arch=arm64 PACKAGEBUILD-14218464 Removing build PACKAGEBUILD-14218464