This projects contains a tutorial on how to process functional Magnetic Resonance Imaging (fMRI) data with the scikit-learn.

This work is made available by the INRIA Parietal Project Team and the scikit-learn folks, among which V. Michel, A. Gramfort, G. Varoquaux, F. Pedregosa and B. Thirion.

• Official source code repo: https://github.com/nisl/tutorial/
• HTML documentation (stable release): http://nisl.github.com/

The required dependencies to sue the software are Python >= 2.6, setuptools, Numpy >= 1.3, SciPy >= 0.7, Scikit-learn >= 0.10 This configuration matches the Ubuntu 10.04 LTS release from April 2010.

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

You can check the latest sources with the command:

git clone git://github.com/nisl/tutorial

or if you have write privileges:

git clone git@github.com:nisl/tutorial