MultiVariate Pattern Analysis
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 |
| test([limit, verbosity, exit_]) | Runs the full or a subset of the PyMVPA unittest suite. |
| wtf([filename]) | Report summary about PyMVPA and the system |
