Télécharger le paquet source pymvpa :
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), and bindings to external machine learning libraries (libsvm, shogun).
While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets.
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| Architecture | Version | Taille du paquet | Espace occupé une fois installé | Fichiers |
|---|---|---|---|---|
| all | 0.4.3-1 | 2 095,9 ko | 4088 ko | [liste des fichiers] |
| m68k (portage non officiel) | 0.1.0-1 | 137,7 ko | 744 ko | [liste des fichiers] |