| python-mvpa | multivariate pattern analysis with Python | Mehr ... |
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, GNB, Ridge Regressions, Sparse Multinomial Logistic
Regression), and bindings to external machine learning libraries (libsvm,
shogun).
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While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it
is eminently suited for such datasets. |
| python-mvpa-doc | documentation and examples for PyMVPA | Mehr ... |
| python-mvpa-lib | low-level implementations and bindings for PyMVPA | Mehr ... |
