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Package: vowpal-wabbit (7.3-1 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 18.0 kB100.0 kB [list of files]
amd64 7.3-1 17.2 kB51.0 kB [list of files]
armel 7.3-1 17.4 kB80.0 kB [list of files]
armhf 7.3-1 16.6 kB76.0 kB [list of files]
hppa (unofficial port) 4.1+20100420-1 320.0 kB532.0 kB [list of files]
hurd-i386 7.3-1 17.4 kB80.0 kB [list of files]
i386 7.3-1 17.3 kB45.0 kB [list of files]
kfreebsd-amd64 7.3-1 17.2 kB55.0 kB [list of files]
kfreebsd-i386 7.3-1 17.4 kB49.0 kB [list of files]
m68k (unofficial port) 7.3-1 16.9 kB88.0 kB [list of files]
mips 7.3-1 17.5 kB86.0 kB [list of files]
mipsel 7.3-1 20.7 kB86.0 kB [list of files]
powerpc 7.3-1 17.4 kB80.0 kB [list of files]
powerpcspe (unofficial port) 7.3-1 17.1 kB81.0 kB [list of files]
ppc64 (unofficial port) 7.3-1 17.3 kB91.0 kB [list of files]
s390x 7.3-1 17.8 kB91.0 kB [list of files]
sh4 (unofficial port) 7.3-1 20.8 kB80.0 kB [list of files]
sparc 7.3-1 16.3 kB81.0 kB [list of files]
sparc64 (unofficial port) 7.3-1 19.9 kB102.0 kB [list of files]
x32 (unofficial port) 7.3-1 17.6 kB77.0 kB [list of files]