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.

Package availability chart
Distribution Base version Our version Architectures
Debian GNU/Linux 10.0 (buster)   8.6.1.dfsg1-1~nd100+1 i386, amd64, sparc, armel, ppc64el
Debian GNU/Linux 9.0 (stretch)   8.6.1.dfsg1-1~nd90+1 i386, amd64, sparc, armel
Debian unstable (sid) 8.6.1.dfsg1-1 8.6.1.dfsg1-1~nd+1 i386, amd64, sparc, armel
Ubuntu 16.04 “Xenial Xerus” (xenial) 8.1.1-1 8.6.1.dfsg1-1~nd16.04+1 i386, amd64, sparc, armel
Ubuntu 18.04 “Bionic Beaver” (bionic) 8.5.0.dfsg1-1 8.6.1.dfsg1-1~nd18.04+1 i386, amd64, sparc, armel
Ubuntu 20.04 “Focal Fossa” (focal) 8.6.1.dfsg1-1build2    
Ubuntu 20.10 “Groovy Gorilla” (groovy) 8.6.1.dfsg1-1build2    
Ubuntu 21.04 “Hirsute Hippo” (hirsute) 8.6.1.dfsg1-1build3    

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