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The SHOGUN machine learning toolbox


Unified and efficient Machine Learning since 1999.

Latest release:

Release

Cite Shogun:

DOI

Develop branch build status:

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Buildbot: http://buildbot.shogun-toolbox.org/waterfall.

Interfaces


Shogun is implemented in C++ and offers automatically generated, unified interfaces to Python, Octave, Java / Scala, Ruby, C#, R, Lua. We are currently working on adding more languages including JavaScript, D, and Matlab.

InterfaceStatus
pythonmature (no known problems)
octavemature (no known problems)
java/scalastable (no known problems)
rubystable (no known problems)
csharpstable (no known problems)
rbeta (most examples work, static calls unavailable)
luaalpha (many examples work, string typemaps are unstable, overloaded methods unavailable)
perlpre-alpha (work in progress quality)
jspre-alpha (work in progress quality)

See our website for examples in all languages.

Platforms


Shogun is supported under GNU/Linux, MacOSX, FreeBSD, and Windows. See our buildfarm.

Directory Contents


The following directories are found in the source distribution. Note that some folders are submodules that can be checked out with git submodule update --init.

License


Shogun is generally licensed under the GPL3, with code borrowed from various external libraries, and optional parts that are neither compatible with GPL nor BSD. It is possible to compile a BSD3 compatible build of Shogun.

See doc/licenses for details.