Mercurial > pylearn
view doc/v2_planning/existing_python_ml_libraries.txt @ 1028:c6a74b24330b
coding_style: Olivier D confirmed as leader
author | Olivier Delalleau <delallea@iro> |
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date | Mon, 06 Sep 2010 20:41:51 -0400 |
parents | f4919b7532df |
children | 564c069134c2 |
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Committee members: GD, DWF, IG, DE This committee will investigate the possibility of interfacing and/or borrowing from other Python machine learning libraries that exist out there. Some questions that we need to answer: * How much should we try to interface with other libraries? * What parts can we and should we implement ourselves and what should we leave to the other libraries? Preliminary list of libraries to look at: * Pybrain * MDP * Orange * Shogun python bindings * libsvm python bindings * scikits.learn