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 Pocket 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

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.