Ubuntu
vowpal-wabbit package

vowpal-wabbit 8.1.1-1build4 source package in Ubuntu

Changelog

vowpal-wabbit (8.1.1-1build4) bionic; urgency=medium

  * No-change rebuild for boost soname change.

 -- Matthias Klose <email address hidden>  Thu, 26 Oct 2017 17:25:54 +0000

Upload details

Uploaded by:
Matthias Klose
Uploaded to:
Bionic
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
science
Urgency:
Medium Urgency

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Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
vowpal-wabbit_8.1.1.orig.tar.gz 9.7 MiB 174609bb09eaeac150c08639a82713a2290442a42bc0b23d53943e9a0f22911b
vowpal-wabbit_8.1.1-1build4.debian.tar.xz 6.1 KiB 14e7ee17e25f99cdf147d7c83eb968bad655370ca210bc852de724dfdece986c
vowpal-wabbit_8.1.1-1build4.dsc 2.3 KiB 5b427ff8f565494756e8d63af476a7a2a5b26b5e2b1578b09fd46ca27e9a34a8

Available diffs

View changes file

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: 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-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.