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[ Source: vowpal-wabbit  ]

Package: vowpal-wabbit-dbg (7.3-1.1 and others)

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fast and scalable online machine learning algorithm - debug 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
   computation)
 - feature pairing

This package contains debug symbols for the binaries shipped by vowpal-wabbit packages.

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Download vowpal-wabbit-dbg

Download for all available architectures
Architecture Version Package Size Installed Size Files
amd64 7.3-1.1+b1 1,831.2 kB8,967.0 kB [list of files]
arm64 7.3-1.1 1,762.5 kB9,584.0 kB [list of files]
armel 7.3-1.1+b1 1,786.5 kB7,303.0 kB [list of files]
armhf 7.3-1.1+b1 1,780.4 kB7,184.0 kB [list of files]
i386 7.3-1.1+b1 1,763.9 kB7,013.0 kB [list of files]
mips 7.3-1.1+b1 1,692.4 kB7,343.0 kB [list of files]
mipsel 7.3-1.1+b1 1,760.3 kB7,344.0 kB [list of files]
powerpc 7.3-1.1+b1 1,710.6 kB7,301.0 kB [list of files]
ppc64el 7.3-1.1 1,782.3 kB9,665.0 kB [list of files]
s390x 7.3-1.1+b1 1,736.4 kB8,978.0 kB [list of files]