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Project Description

Warning: this package has been renamed! scikit-learn


scikits.learn is a python module for machine learning built on top of scipy.

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.


The required dependencies to build the software are python >= 2.5, setuptools, NumPy >= 1.2, SciPy >= 0.7 and a working C++ compiler.

To run the tests you will also need nose >= 0.10.


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

python install --home

To install for all users on Unix/Linux:

python build
sudo python install




You can check the latest sources with the command:

git clone git://

or if you have write privileges:

git clone


After installation, you can launch the test suite from outside the source directory (you will need to have nosetest installed):

python -c "import scikits.learn as skl; skl.test()"

See web page for more information.

Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
scikits.learn-0.8.1.tar.gz (1.6 MB) Copy SHA256 Checksum SHA256 Source Sep 21, 2011

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