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Description:

scikits.learn 0.8.1

Warning: this package has been renamed! scikit-learn

About
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.

Important links

Official source code repo: https://github.com/scikit-learn/scikit-learn
HTML documentation (stable release): http://scikit-learn.sourceforge.net/
HTML documentation (development version): http://scikit-learn.sourceforge.net/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
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.

Install
This packages uses distutils, which is the default way of installing
python modules. To install in your home directory, use:
python setup.py install --home
To install for all users on Unix/Linux:
python setup.py build
sudo python setup.py install

Development

Code
GIT
You can check the latest sources with the command:
git clone git://github.com/scikit-learn/scikit-learn.git
or if you have write privileges:
git clone git@github.com:scikit-learn/scikit-learn.git

Testing
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 http://scikit-learn.sourceforge.net/install.html#testing
for more information.