vowpal-wabbit 8.5.0.dfsg1-1 source package in Ubuntu
Changelog
vowpal-wabbit (8.5.0.dfsg1-1) unstable; urgency=medium * Fresh upstream release * debian/control - added rapidjson-dev to build-depends - boosted policy to 4.1.3 - boosted compat/debhelper to 9 - "optional" priority instead of "extra" for -dbg to please lintian * debian/*.install - libraries are installed under usr/lib/ARCH/ now -- Yaroslav Halchenko <email address hidden> Thu, 08 Feb 2018 16:21:28 -0500
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 | |
---|---|---|---|---|
Bionic | release | universe | science |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
vowpal-wabbit_8.5.0.dfsg1-1.dsc | 2.2 KiB | b61299c427c00eb60028171dbe24e477557b1b8e6d3d3469d0eeae220699ab02 |
vowpal-wabbit_8.5.0.dfsg1.orig.tar.gz | 16.9 MiB | 532f12cbb0925e368773cd308abeeac37fd35fa4dda056204867e849b57c8d8b |
vowpal-wabbit_8.5.0.dfsg1-1.debian.tar.xz | 6.0 KiB | 935bd11393f0d1f8a5d37ff287ad58ed2fbabf86608d64de09d86fb3373b2d7d |
Available diffs
No changes file available.
Binary packages built by this source
- libvw-dev: fast and scalable online machine learning algorithm - development 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 development files needed to compile and link programs
which use vowpal-wabbit's libraries.
- 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.
- vowpal-wabbit: No summary available for vowpal-wabbit in ubuntu cosmic.
No description available for vowpal-wabbit in ubuntu cosmic.
- vowpal-wabbit-dbg: No summary available for vowpal-wabbit-dbg in ubuntu cosmic.
No description available for vowpal-wabbit-dbg in ubuntu cosmic.
- 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.