Multivariate Pattern Analysis in Python

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# mvpa2

MultiVariate Pattern Analysis

## Package Organization

The mvpa package contains the following subpackages and modules:

group Algorithms:
| algorithms
group Anatomical Atlases:
| atlases
group Basic Data Structures:
| datasets
group Classifiers (supervised learners):
| clfs
group Feature Selections:
| featsel
group Mappers (usually unsupervised learners):
| mappers
group Measures: | measures
group Miscellaneous:
| base misc support
group Unittests:
| tests
author: | Michael Hanke, Yaroslav Halchenko, Per B. Sederberg
requires: | Python 2.4+
version: | 2.2.0
see: | The PyMVPA webpage
see: | GIT Repository Browser
license: | The MIT License <http://www.opensource.org/licenses/mit-license.php>
copyright: | © 2006-2012 Michael Hanke <michael.hanke@gmail.com>
copyright: | © 2007-2012 Yaroslav O. Halchenko <debian@onerussian.com>
newfield contributor:
| Contributor, Contributors (Alphabetical Order)
contributor: | Emanuele Olivetti
contributor: | Per B. Sederberg

Functions

`seed`([random_seed]) | Uniform and combined seeding of all relevant random number generators.
`test`([limit, verbosity, exit_]) | Runs the full or a subset of the PyMVPA unittest suite.
`wtf`([filename]) | Report summary about PyMVPA and the system :Parameters: filename : None or str If provided, information will be stored in a file, not printed to the screen include : list of str By default, all known (listed in `__knownitems__`) are reported.

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