SHOGUN  v2.0.0
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We provide tutorials for developers that intend to extend shogun or that want to use libshogun from C++ and for the static and modular interfaces. For a general list of the within shogun implemented machine learning methods see Methods.


In addition, for each of the interfaces a large number of examples is available which can be found in the

directories and online here.

Note that we always keep the python-modular examples complete and up-to-date and also perform regression tests using a test-suite. Finally, we provide a function reference for all static and modular interfaces:

Function Reference

SHOGUN Machine Learning Toolbox - Documentation