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scikits.learn

version 0.8.1

A set of python modules for machine learning and data mining

Download: http://sourceforge.net/projects/scikit-learn/files/
Homepage: http://scikit-learn.sourceforge.net
PyPI: http://pypi.python.org/pypi/scikits.learn
People: Fabian Pedregosa

Description

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.

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.

Installation

PyPI

You can download the latest distribution from PyPI here: http://pypi.python.org/pypi/scikits.learn

Easy Install

Install the Easy Install tools. Afterwards you can install scikits.learn from the terminal by executing:

sudo easy_install scikits.learn

If you prefer to do a local installation, specify an installation prefix:

easy_install --prefix=${HOME} scikits.learn
and ensure that your PYTHONPATH is up to date, e.g.:
export PYTHONPATH=$PYTHONPATH:${HOME}/lib/python2.5/site-packages

This package was discovered in PyPI.