PyMVPA Multivariate Pattern Analysis in Pythonhttp://mloss.orgUpdates and additions to PyMVPA Multivariate Pattern Analysis in PythonenThu, 22 Dec 2011 01:36:32 -0000PyMVPA Multivariate Pattern Analysis in Python 2.0.0<html><p>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. </p> <p>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 <a href="">documentation</a> on how to obtain and "build" from sources. </p></html>Michael Hanke, Yaroslav Halchenko, Per B. Sederberg, Emanuele OlivettiThu, 22 Dec 2011 01:36:32 -0000 vector machinesk nearest neighbor classificationpcarfeneurosciencefmriframeworkgprlarssmlrmeg<b>Comment by Yaroslav Halchenko on 2008-05-18 17:07</b><p>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</p> Yaroslav HalchenkoSun, 18 May 2008 17:07:37 -0000<b>Comment by Yaroslav Halchenko on 2009-09-08 20:21</b><p>0.4.3 release update</p> Yaroslav HalchenkoTue, 08 Sep 2009 20:21:46 -0000<b>Comment by Yaroslav Halchenko on 2009-09-08 20:29</b><p>updated entry to don't be treated as PRE</p> Yaroslav HalchenkoTue, 08 Sep 2009 20:29:35 -0000