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Package: vowpal-wabbit (8.6.1.dfsg1-1 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 8.6.1.dfsg1-1+b3 56.2 kB239.0 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]
i386 8.6.1.dfsg1-1+b3 60.5 kB226.0 kB [list of files]
m68k (unofficial port) 7.3-1.1+b2 17.5 kB66.0 kB [list of files]
mips64el 7.3-1.1+b1 18.7 kB72.0 kB [list of files]
mipsel 7.3-1.1+b2 17.9 kB65.0 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) 8.6.1.dfsg1-1+b2 55.9 kB227.0 kB [list of files]