Framework for multivariate pattern analysis (MVPA)
The mvpa2 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, Nikolaas N. Oosterhof |
requires: | Python 2.6+ |
version: | 2.6.2 |
see: | The PyMVPA webpage |
see: | GIT Repository Browser |
license: | The MIT License <http://www.opensource.org/licenses/mit-license.php> |
copyright: | © 2006-2016 Michael Hanke <michael.hanke@gmail.com> |
copyright: | © 2007-2016 Yaroslav O. Halchenko <debian@onerussian.com> |
copyright: | © 2012-2016 Nikolaas N. Oosterhof <n.n.oosterhof@googlemail.com> |
Functions
Doi(*args, **kwargs) | Perform no good and no bad |
get_random_seed() | Generate a random int good for seeding RNG via seed function |
pathjoin(a, *p) | Join two or more pathname components, inserting ‘/’ as needed. |
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 |