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.. -*- mode: rst -*- About ===== scikit.learn is a python module for machine learning built on top of scipy. The project was started in 2007 by David Cournapeu as a Google Summer of Code project, and since then many volunteers have contributed. See the AUTHORS file for a complete list of contributors. It is currently maintained by a team of volonteers. Download ======== There are currently no public releases, please see section 'Code' below. Dependencies =========== The required dependencies to build the software are python >= 2.5, NumPy >= 1.1, SciPy, the Boost libraries and a working C++ compiler. Optional dependencies are scikits.optimization for module machine.manifold_learning. To run the tests you will also need nosetests and python-dap (http://pypi.python.org/pypi/dap/). Install ======= This packages uses distutils, which is the default way of installing python modules. The install command is:: python setup.py install If you have installed the boost libraries in a non-standard location you might need to pass the appropriate --include argument so that it find the correct headers. For example, if your headers reside in /opt/local/include, (which is the case if you have installed them through Mac Ports), you must issue the commands:: python setup.py build_ext --include=/opt/local/include python setup.py install Mailing list ============ There's a general and development mailing list, visit https://lists.sourceforge.net/lists/listinfo/scikit-learn-general to subscribe to the mailing list. Development =========== Code ---- To check out the sources for subversion run the command:: svn co http://scikit-learn.svn.sourceforge.net/svnroot/scikit-learn/trunk scikit-learn You can also browse the code online in the address http://scikit-learn.svn.sourceforge.net/viewvc/scikit-learn Bugs ---- Please submit bugs you might encounter, as well as patches and feature requests to the tracker located at the address https://sourceforge.net/apps/trac/scikit-learn/report Testing ------- To execute the test suite, run from the project's top directory:: nosetests --with-doctest scikits/