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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
 - 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+b3 18.5 kB77.0 kB [list of files]
amd64 7.3-1.1+b2 17.8 kB65.0 kB [list of files]
arm64 7.3-1.1+b1 18.0 kB69.0 kB [list of files]
armel 7.3-1.1+b2 17.2 kB58.0 kB [list of files]
armhf 7.3-1.1+b2 16.9 kB54.0 kB [list of files]
hppa (unofficial port) 7.3-1.1+b2 18.9 kB65.0 kB [list of files]
hurd-i386 7.3-1.1+b2 18.3 kB58.0 kB [list of files]
i386 7.3-1.1+b2 18.2 kB58.0 kB [list of files]
kfreebsd-amd64 7.3-1.1+b2 17.9 kB65.0 kB [list of files]
kfreebsd-i386 7.3-1.1+b2 18.2 kB58.0 kB [list of files]
m68k (unofficial port) 7.3-1.1+b2 17.5 kB66.0 kB [list of files]
mips 7.3-1.1+b2 17.7 kB65.0 kB [list of files]
mipsel 7.3-1.1+b2 17.9 kB65.0 kB [list of files]
powerpc 7.3-1.1+b2 17.9 kB218.0 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+b3 18.2 kB221.0 kB [list of files]
ppc64el 7.3-1.1+b1 17.8 kB221.0 kB [list of files]
s390x 7.3-1.1+b2 18.2 kB69.0 kB [list of files]
sh4 (unofficial port) 7.3-1.1+b2 18.1 kB58.0 kB [list of files]
sparc64 (unofficial port) 7.3-1.1+b2 17.2 kB80.0 kB [list of files]
x32 (unofficial port) 7.3-1.1+b2 18.0 kB58.0 kB [list of files]