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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

Using pip

You can install scikits.learn for yourself from the terminal by running:

pip install --user scikits.learn

If you want to install it for all users on your machine, do:

pip install scikits.learn
On Linux, do sudo pip install scikits.learn.

If you don't yet have the pip tool, you can get it following these instructions.

This package was discovered in PyPI.