scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

The project was started in 2007 by David Cournapeau as a Google Summer of Code project, and since then many volunteers have contributed. See the AUTHORS.rst file for a complete list of contributors.

It is currently maintained by a team of volunteers.

Note scikit-learn was previously referred to as scikits.learn.

Important links

• Official source code repo: https://github.com/scikit-learn/scikit-learn

• HTML documentation (stable release): http://scikit-learn.org

• HTML documentation (development version): http://scikit-learn.org/dev/

• Download releases: http://sourceforge.net/projects/scikit-learn/files/

• Issue tracker: https://github.com/scikit-learn/scikit-learn/issues

• Mailing list: https://lists.sourceforge.net/lists/listinfo/scikit-learn-general

• IRC channel: #scikit-learn at irc.freenode.net

Dependencies

scikit-learn is tested to work under Python 2.6+ and Python 3.3+ (using the same codebase thanks to an embedded copy of six).

The required dependencies to build the software Numpy >= 1.3, SciPy >= 0.7 and a working C/C++ compiler.

For running the examples Matplotlib >= 0.99.1 is required and for running the tests you need nose >= 0.10.

This configuration matches the Ubuntu 10.04 LTS release from April 2010.

Install

This package uses distutils, which is the default way of installing python modules. To install in your home directory, use:

python setup.py install --user

To install for all users on Unix/Linux:

python setup.py build
sudo python setup.py install

Development

git clone git://github.com/scikit-learn/scikit-learn.git

git clone git@github.com:scikit-learn/scikit-learn.git

$ nosetests --exe sklearn