vowpal-wabbit 8.1.1-1 source package in Ubuntu
Changelog
vowpal-wabbit (8.1.1-1) unstable; urgency=medium
* Fresh upstream release
* debian/watch
- removed 'v' prefix from tags -- upstream stopped using it
* debian/control
- added -b debian to the Vcs-Git field
* debian/rules
- remove generated by tests files (Closes: #807231). Thanks Chris Lamb
- force autoconf build system
- point --with-boost-libdir to /usr/lib/<DEB_HOST_MULTIARCH>
* debian/patches/deb_lpthread
- dropped (upstreamed)
-- Yaroslav Halchenko <email address hidden> Sun, 04 May 2014 18:11:52 -0400
Upload details
- Uploaded by:
- Yaroslav Halchenko
- Uploaded to:
- Sid
- Original maintainer:
- Yaroslav Halchenko
- Architectures:
- any all
- Section:
- science
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Xenial | release | universe | science |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| vowpal-wabbit_8.1.1-1.dsc | 2.2 KiB | da2b7a345a529b8a4eea8062f1f7a024559ee052bdd8279ca58a95687c68d5b5 |
| vowpal-wabbit_8.1.1.orig.tar.gz | 9.7 MiB | 174609bb09eaeac150c08639a82713a2290442a42bc0b23d53943e9a0f22911b |
| vowpal-wabbit_8.1.1-1.debian.tar.xz | 5.9 KiB | 7c4f19b2cec275a4c8cf56e38b64f0fa9f6c32e8dffccdd2cd2f7a59b84c2063 |
Available diffs
No changes file available.
Binary packages built by this source
- libvw-dev: No summary available for libvw-dev in ubuntu yakkety.
No description available for libvw-dev in ubuntu yakkety.
- libvw-dev-dbgsym: No summary available for libvw-dev-dbgsym in ubuntu yakkety.
No description available for libvw-dev-dbgsym in ubuntu yakkety.
- libvw0: fast and scalable online machine learning algorithm - dynamic library
Vowpal Wabbit is a fast online machine learning algorithm. The core
algorithm is specialist gradient descent (GD) on a loss function
(several are available). VW features:
- flexible input data specification
- speedy learning
- scalability (bounded memory footprint, suitable for distributed
computation)
- feature pairing
.
This package contains vowpal-wabbit's dynamic libraries.
- libvw0-dbgsym: debug symbols for package libvw0
Vowpal Wabbit is a fast online machine learning algorithm. The core
algorithm is specialist gradient descent (GD) on a loss function
(several are available). VW features:
- flexible input data specification
- speedy learning
- scalability (bounded memory footprint, suitable for distributed
computation)
- feature pairing
.
This package contains vowpal-wabbit's dynamic libraries.
- vowpal-wabbit: fast and scalable online machine learning algorithm
Vowpal Wabbit is a fast online machine learning algorithm. The core
algorithm is specialist gradient descent (GD) on a loss function
(several are available). VW features:
- flexible input data specification
- speedy learning
- scalability (bounded memory footprint, suitable for distributed
computation)
- feature pairing
- vowpal-wabbit-dbg: fast and scalable online machine learning algorithm - debug files
Vowpal Wabbit is a fast online machine learning algorithm. The core
algorithm is specialist gradient descent (GD) on a loss function
(several are available). VW features:
- flexible input data specification
- speedy learning
- scalability (bounded memory footprint, suitable for distributed
computation)
- feature pairing
.
This package contains debug symbols for the binaries shipped by vowpal-wabbit
packages.
- vowpal-wabbit-dbgsym: No summary available for vowpal-wabbit-dbgsym in ubuntu yakkety.
No description available for vowpal-
wabbit- dbgsym in ubuntu yakkety.
- vowpal-wabbit-doc: fast and scalable online machine learning algorithm - documentation
Vowpal Wabbit is a fast online machine learning algorithm. The core
algorithm is specialist gradient descent (GD) on a loss function
(several are available). VW features:
- flexible input data specification
- speedy learning
- scalability (bounded memory footprint, suitable for distributed
computation)
- feature pairing
.
This package contains examples (tests) for vowpal-wabbit.
