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datasets.base

This content refers to the previous stable release of PyMVPA. Please visit www.pymvpa.org for the most recent version of PyMVPA and its documentation.

mvpa

mvpa

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:0.4.8
see:The PyMVPA webpage
see:GIT Repository Browser
license:The MIT License <http://www.opensource.org/licenses/mit-license.php>
copyright:© 2006-2010 Michael Hanke <michael.hanke@gmail.com>
copyright:© 2007-2010 Yaroslav O. Halchenko <debian@onerussian.com>
newfield contributor:
 Contributor, Contributors (Alphabetical Order)
contributor:Emanuele Olivetti
contributor:Per B. Sederberg
mvpa.seed(random_seed)

Uniform and combined seeding of all relevant random number generators.