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[ Source: vowpal-wabbit  ]

Package: vowpal-wabbit (7.3-1.1 and others)

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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
   computation)
 - feature pairing

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

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Download vowpal-wabbit

Download for all available architectures
Architecture Version Package Size Installed Size Files
alpha (unofficial port) 7.3-1.1+b1 18.0 kB99.0 kB [list of files]
amd64 7.3-1.1+b1 17.6 kB52.0 kB [list of files]
arm64 7.3-1.1 18.0 kB91.0 kB [list of files]
armel 7.3-1.1+b1 17.8 kB81.0 kB [list of files]
armhf 7.3-1.1+b1 16.8 kB77.0 kB [list of files]
hppa (unofficial port) 7.3-1.1 19.3 kB94.0 kB [list of files]
hurd-i386 7.3-1.1+b1 17.9 kB80.0 kB [list of files]
i386 7.3-1.1+b1 17.8 kB45.0 kB [list of files]
kfreebsd-amd64 7.3-1.1+b1 17.6 kB55.0 kB [list of files]
kfreebsd-i386 7.3-1.1+b1 17.9 kB49.0 kB [list of files]
m68k (unofficial port) 7.3-1.1 17.1 kB52.0 kB [list of files]
mips 7.3-1.1+b1 18.0 kB86.0 kB [list of files]
mipsel 7.3-1.1+b1 18.1 kB86.0 kB [list of files]
powerpc 7.3-1.1+b1 17.6 kB81.0 kB [list of files]
powerpcspe (unofficial port) 7.3-1.1 17.3 kB81.0 kB [list of files]
ppc64 (unofficial port) 7.3-1.1+b1 17.6 kB91.0 kB [list of files]
ppc64el 7.3-1.1 17.4 kB55.0 kB [list of files]
s390x 7.3-1.1+b1 18.1 kB91.0 kB [list of files]
sh4 (unofficial port) 7.3-1.1 18.1 kB80.0 kB [list of files]
sparc 7.3-1.1+b1 16.7 kB82.0 kB [list of files]
sparc64 (unofficial port) 7.3-1.1 16.7 kB103.0 kB [list of files]
x32 (unofficial port) 7.3-1.1 17.7 kB77.0 kB [list of files]