About
scikits.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
You can download source code and Windows binaries from SourceForge:
http://sourceforge.net/projects/scikit-learn/files/
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.
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
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 (you will need to have nosetest installed):
python setup.py test