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Source: vowpal-wabbit
Section: science
Priority: optional
Maintainer: Yaroslav Halchenko <debian@onerussian.com>
Build-Depends: debhelper (>= 7.0.50~), libboost-program-options-dev, help2man, zlib1g-dev
Standards-Version: 3.9.2
Homepage: http://hunch.net/~vw/
Vcs-Browser: http://github.com/yarikoptic/vowpal_wabbit
Vcs-Git: git://github.com/yarikoptic/vowpal_wabbit.git
Package: vowpal-wabbit
Architecture: any
Depends: ${shlibs:Depends}, ${misc:Depends}
Description: 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
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