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.

Table Of Contents

NeuroDebian

NITRC-listed