Package: vowpal-wabbit (8.6.1.dfsg1-1 and others)

[ Source: vowpal-wabbit  ]

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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• sug: vowpal-wabbit-doc

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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 kB	77.0 kB	[list of files]
amd64	8.6.1.dfsg1-1+b3	56.2 kB	239.0 kB	[list of files]
arm64	7.3-1.1+b1	18.0 kB	69.0 kB	[list of files]
armel	7.3-1.1+b2	17.2 kB	58.0 kB	[list of files]
armhf	7.3-1.1+b2	16.9 kB	54.0 kB	[list of files]
hppa (unofficial port)	7.3-1.1+b2	18.9 kB	65.0 kB	[list of files]
i386	8.6.1.dfsg1-1+b3	60.5 kB	226.0 kB	[list of files]
m68k (unofficial port)	7.3-1.1+b2	17.5 kB	66.0 kB	[list of files]
mips64el	7.3-1.1+b1	18.7 kB	72.0 kB	[list of files]
ppc64 (unofficial port)	7.3-1.1+b3	18.2 kB	221.0 kB	[list of files]
ppc64el	7.3-1.1+b1	17.8 kB	221.0 kB	[list of files]
s390x	7.3-1.1+b2	18.2 kB	69.0 kB	[list of files]
sh4 (unofficial port)	7.3-1.1+b2	18.1 kB	58.0 kB	[list of files]
sparc64 (unofficial port)	7.3-1.1+b2	17.2 kB	80.0 kB	[list of files]
x32 (unofficial port)	8.6.1.dfsg1-1+b2	55.9 kB	227.0 kB	[list of files]