Project details for PyMVPA Multivariate Pattern Analysis in Python

Screenshot PyMVPA Multivariate Pattern Analysis in Python 0.4.5

by yarikoptic - October 2, 2010, 16:51:22 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

view ( today), download ( today ), 3 comments, 0 subscriptions

OverallWhole StarWhole StarWhole StarWhole StarEmpty Star
FeaturesWhole StarWhole StarWhole StarWhole StarEmpty Star
UsabilityWhole StarWhole StarWhole StarWhole StarEmpty Star
DocumentationWhole StarWhole StarWhole StarWhole StarEmpty Star
(based on 2 votes)

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 for the upcoming website/documentation. Please see documentation on how to obtain and "build" from sources.

Changes to previous version:

0.4.5 (Fri, Oct 01 2010) (Total: 27 commits)

A bugfix release

* Fixed (13 BF commits):
      o Compatible with LIBSVM >= 2.91 (Closes: #583018)
      o No string exceptions raised (Python 2.6 compatibility)
      o Setting of shrinking parameter in sg interface
      o Deducing number of SVs for SVR (LIBSVM)
      o Correction of significance in the tails of non-parametric tests
* Miscellaneous:
      o Development repository moved to
BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
Supported Operating Systems: Agnostic
Data Formats: None
Tags: Shogun, Python, Eeg, Classification, Regression, Support Vector Machines, K Nearest Neighbor Classification, Pca, Rfe, Neuroscience, Fmri, Framework, Gpr, Lars, Smlr, Meg
Archive: download here


Yaroslav Halchenko (on May 18, 2008, 17:07:37)
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
Yaroslav Halchenko (on September 8, 2009, 20:21:46)
0.4.3 release update
Yaroslav Halchenko (on September 8, 2009, 20:29:35)
updated entry to don't be treated as PRE

Leave a comment

You must be logged in to post comments.