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README
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README
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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 is currently mantained by several volonteers.
Install
=======
This packages uses distutils, which is the default way of installing
python modules. To install, type in the command prompt (you might need
superuser privileges)
python setup.py install
Dependecies
===========
To install this package, you will need python >= 2.5, NumPy.
In order to run the tests, you will need nosetests, python-dap
(https://pypi.python.org/pypi/dap/) and sikits.optimization.
Mailing list
============
Visit
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general to
subscribe to the mailing list.
Development
===========
Developement takes place in several places.
Testing
=======
To run the test suite (you will need nosetests), issue the command
'nosetests' from the poroject's top directory.