libsvm 3.21+ds-1.2 source package in Ubuntu

Changelog

libsvm (3.21+ds-1.2) unstable; urgency=medium

  * Non-maintainer upload.
  * Bump -target/-source to fix FTBFS with Java >= 9,
    thanks to Emmanuel Bourg. (Closes: #893291)

 -- Adrian Bunk <email address hidden>  Sun, 23 Sep 2018 08:39:25 +0300

Upload details

Uploaded by:
Chen-Tse Tsai on 2018-10-08
Uploaded to:
Sid
Original maintainer:
Chen-Tse Tsai
Architectures:
any all
Section:
devel
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Eoan release on 2019-04-18 universe devel
Disco release on 2018-11-11 universe devel

Downloads

File Size SHA-256 Checksum
libsvm_3.21+ds-1.2.dsc 2.0 KiB bd369bf64e3aa6e6997739bc4a4b01019564e220ad595eec984ba299ea560a75
libsvm_3.21+ds.orig.tar.gz 137.2 KiB 0a4766de518bd8c435737026c8e62fcbdb707c8187449566421268aa9f86b7e3
libsvm_3.21+ds-1.2.debian.tar.xz 10.9 KiB 55baea75555819ed198a0b00c7f9dc50349f58e6bb1e18288fb75bde0796d81e

Available diffs

No changes file available.

Binary packages built by this source

libsvm-dev: LIBSVM header files

 LIBSVM, a machine-learning library, is an easy-to-use package for
 support vector classification, regression and one-class SVM. It
 supports multi-class classification, probability outputs, and
 parameter selection.
 .
 This package contains the development header files.

libsvm-java: Java API to support vector machine library (libsvm.jar)

 The functionality of the libsvm are offered in a single jar file. It includes
 one-class, two-class, multiclass, regression-mode, and probablistic output
 functionality.
 .
 This package solely provides a symbolic link from libsvm.jar libsvm3.jar.

libsvm-tools: LIBSVM binary tools

 LIBSVM is an easy-to-use package for support vector classification,
 regression and one-class SVM. It supports multi-class classification,
 probability outputs, and parameter selection.

libsvm-tools-dbgsym: debug symbols for libsvm-tools
libsvm3: library implementing support vector machines

 The LIBSVM library is used to calculate Support Vector Machine optimizations
 with a great variety of powerful options. It includes one-class, two-class,
 multiclass, regression-mode, and probablistic output functionality. It is
 primarily of interest to machine-learning researchers and artificial
 intelligence application developers.

libsvm3-dbgsym: debug symbols for libsvm3
libsvm3-java: Java API to support vector machine library (libsvm3.jar)

 The functionality of the libsvm are offered in a single jar file. It includes
 one-class, two-class, multiclass, regression-mode, and probablistic output
 functionality.

python-libsvm: Python interface for support vector machine library

 Python interface for the LIBSVM library using ctypes. This new Python
 interface is provided since 2.91, and it is incompatible with the old
 one.