mloss.org PyMVPA Multivariate Pattern Analysis in Python

PyMVPA Multivariate Pattern Analysis in Python 2.0.0

Michael Hanke, Yaroslav Halchenko, Per B. Sederberg, Emanuele Olivetti — Thu, 22 Dec 2011 01:36:32 -0000

Python module to ease pattern classification analyses of large datasets. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic Regression, GPR. RFE, I-RELIEF), and bindings to external ML libraries (libsvm, shogun, R). While it is not limited to neuroimaging data (e.g. FMRI) it is eminently suited for such datasets.

It is actively developed project, thus you might better off trying it from the version control system which contains 0.5 development going forward. See http://dev.pymvpa.org for the upcoming website/documentation. Please see documentation on how to obtain and "build" from sources.

Comment by Yaroslav Halchenko on 2008-05-18 17:07

Yaroslav Halchenko — Sun, 18 May 2008 17:07:37 -0000

It is actively developed project at the moment, thus it is preferable to don't rely on releases but rather use master branch of git repository mentioned on the project homepage

Comment by Yaroslav Halchenko on 2009-09-08 20:21

Yaroslav Halchenko — Tue, 08 Sep 2009 20:21:46 -0000

0.4.3 release update

Comment by Yaroslav Halchenko on 2009-09-08 20:29

Yaroslav Halchenko — Tue, 08 Sep 2009 20:29:35 -0000

updated entry to don't be treated as PRE