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[ Source: vowpal-wabbit  ]

Package: libvw-dev (8.6.1.dfsg1-1 and others)

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fast and scalable online machine learning algorithm - development files

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

This package contains development files needed to compile and link programs which use vowpal-wabbit's libraries.

Tags: Software Development: Libraries, Role: Development Library

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Download libvw-dev

Download for all available architectures
Architecture Version Package Size Installed Size Files
alpha (unofficial port) 7.3-1.1+b3 392.6 kB3,835.0 kB [list of files]
amd64 8.6.1.dfsg1-1+b3 1,366.4 kB14,061.0 kB [list of files]
arm64 7.3-1.1+b1 313.3 kB2,708.0 kB [list of files]
armel 7.3-1.1+b2 322.2 kB2,447.0 kB [list of files]
armhf 7.3-1.1+b2 326.9 kB2,225.0 kB [list of files]
hppa (unofficial port) 7.3-1.1+b2 350.8 kB2,331.0 kB [list of files]
i386 8.6.1.dfsg1-1+b3 1,477.5 kB11,649.0 kB [list of files]
m68k (unofficial port) 7.3-1.1+b2 298.1 kB2,044.0 kB [list of files]
mips64el 7.3-1.1+b1 367.8 kB3,356.0 kB [list of files]
mipsel 7.3-1.1+b2 328.4 kB2,171.0 kB [list of files]
ppc64 (unofficial port) 7.3-1.1+b3 327.1 kB3,055.0 kB [list of files]
ppc64el 7.3-1.1+b1 334.0 kB2,994.0 kB [list of files]
s390x 7.3-1.1+b2 303.9 kB2,750.0 kB [list of files]
sh4 (unofficial port) 7.3-1.1+b2 337.1 kB1,926.0 kB [list of files]
sparc64 (unofficial port) 7.3-1.1+b2 298.4 kB2,708.0 kB [list of files]
x32 (unofficial port) 8.6.1.dfsg1-1+b2 1,345.9 kB11,050.0 kB [list of files]