success 16363 PyMVPA 2008-08-28T21:34:54Z 2009-12-08T21:12:07Z 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. http://www.pymvpa.org http://pkg-exppsy.alioth.debian.org/pymvpa/#download pymvpa http://bits.ohloh.net/attachments/8069/g3998_med.png http://bits.ohloh.net/attachments/8069/g3998_small.png 3 5.0 2 780661 780661 16363 2009-12-08T21:12:06Z 2009-12-08T21:11:26Z 2007-05-01T00:00:00Z 2009-11-01T00:00:00Z 7 29741 9 Python mit MIT License