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
Warning: this package has been renamed! scikit-learn
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.
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.
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
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
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.
You can download the latest distribution from PyPI here: http://pypi.python.org/pypi/scikits.learn
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.