The Shogun Machine Learning Toolbox (Source Code)
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Explanation of directory content ================================ README - this file Makefile - to create release archives src - shogun source code doc - documentation (to be built using doxygen) examples - example files for all interfaces applications - applications of shogun testsuite - the shogun test suite The following table depicts the status of each interface available in shogun: +==================+===========================================================+ | interface | status | +==================+===========================================================+ |python_modular | mature (no known problems) | |octave_modular | mature (no known problems) | |java_modular | beta quality - not all examples are ported and working | |lua_modular | alpha work in progress quality - some examples work | |ruby_modular | pre-alpha work in progress quality - proof-of-concept only| |csharp_modular | pre-alpha work in progress quality - proof-of-concept only| |r_modular | pre-alpha quality (swig does not properly handle reference| | | counting and thus only for the brave: | | | --disable-reference-counting to get it to work, but beware| | | that it will leak memory; disabled by default.) | +------------------+-----------------------------------------------------------+ |octave_static | mature (no known problems) | |matlab_static | mature (no known problems) | |python_static | mature (no known problems) | |r_static | mature (no known problems) | |libshogun_static | mature (no known problems) | |cmdline_static | stable but some data types incomplete | | | | |elwms_static | this is the eierlegendewollmilchsau interface, a chimera | | | that in one file interfaces with python,octave,r,matlab | | | and provides the run_python command to run code in python | | | using the in octave,r,matlab available variables, etc) | +==================+===========================================================+ Visit src/README and http://www.shogun-toolbox.org/doc for further information.