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.

Related packages: libvw-dev, libvw0, vowpal-wabbit, vowpal-wabbit-dbg

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Package availability chart
Distribution Base version Our version Architectures
Debian GNU/Linux 6.0 (squeeze) 4.1+20100420-1    
Debian GNU/Linux 7.0 (wheezy) 6.1-1 7.3-1~nd70+1 i386, amd64, sparc
Debian GNU/Linux 8.0 (jessie) 7.3-1.1 7.3-1~nd80+1 i386, amd64, sparc
Debian testing (stretch) 7.3-1.1    
Debian unstable (sid) 7.3-1.1 7.3-1~nd+1 i386, amd64, sparc
Ubuntu 10.04 LTS “Lucid Lynx” (lucid)   7.3-1~nd10.04+1 i386, amd64, sparc
Ubuntu 12.04 LTS “Precise Pangolin” (precise) 5.1+83-gffab10a-1 7.3-1~nd12.04+1 i386, amd64, sparc
Ubuntu 14.04 “Trusty Tahr” (trusty) 7.3-1ubuntu1    
Ubuntu 14.10 “Utopic Unicorn” (utopic) 7.3-1.1    
Ubuntu 15.04 “Vivid Vervet” (vivid) 7.3-1.1    
The source code for this portal is licensed under the GPL-3 and is available on GitHub.