Skip to content
This repository

HTTPS clone URL

Subversion checkout URL

You can clone with HTTPS or Subversion.

Download ZIP

scikit-learn: machine learning in Python

This branch is 0 commits ahead and 0 commits behind master

Fetching latest commit…

Cannot retrieve the latest commit at this time

README.rst

Travis

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

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.

Note scikit-learn was previously referred to as scikits.learn.

Important links

Dependencies

scikit-learn is tested to work under Python 2.6+ and Python 3.3+ (using the same codebase thanks to an embedded copy of [six]( http://pythonhosted.org/six/)).

The required dependencies to build the software Numpy >= 1.3, SciPy >= 0.7 and a working C/C++ compiler.

For running the examples Matplotlib >= 0.99.1 is required and for running the tests you need nose >= 0.10.

This configuration matches the Ubuntu 10.04 LTS release from April 2010.

Install

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

python setup.py install --user

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 nosetests installed):

$ nosetests --exe sklearn

See the web page http://scikit-learn.org/stable/install.html#testing for more information.

Random number generation can be controlled during testing by setting the SKLEARN_SEED environment variable.
Something went wrong with that request. Please try again.