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[ Source: vowpal-wabbit  ]

Package: vowpal-wabbit (6.1-1)

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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
 - feature pairing

Tags: Implemented in: C++, User Interface: Command Line, Role: role::program, scope::utility

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Download for all available architectures
Architecture Package Size Installed Size Files
amd64 7,887.2 kB8,243.0 kB [list of files]
armel 7,868.7 kB8,286.0 kB [list of files]
armhf 7,860.8 kB8,196.0 kB [list of files]
i386 7,874.9 kB8,249.0 kB [list of files]
ia64 7,929.0 kB8,809.0 kB [list of files]
kfreebsd-amd64 7,887.7 kB8,244.0 kB [list of files]
kfreebsd-i386 7,874.2 kB8,186.0 kB [list of files]
mips 7,906.5 kB8,454.0 kB [list of files]
mipsel 7,707.2 kB8,257.0 kB [list of files]
powerpc 7,916.1 kB8,413.0 kB [list of files]
s390 7,913.2 kB8,382.0 kB [list of files]
s390x 7,927.4 kB8,461.0 kB [list of files]
sparc 6,754.6 kB7,177.0 kB [list of files]