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Paketbeschreibung
Paketname | python-mvpa |
Beschreibung | multivariate pattern analysis with Python |
Archiv/Repository | Offizielles Debian Archiv squeeze (main) |
Version | 0.4.5~dev23-2 |
Sektion | python |
Priorität | optional |
Installierte Größe | 4148 Byte |
Hängt ab von | python (>= 2.5), python-support (>= 0.90.0), python2.6, python-numpy, python-mvpa-lib (>= 0.4.5~dev2 |
Empfohlene Pakete | python-nifti, python-psyco, python-mdp, python-scipy, shogun-python-modular, python-pywt, python-mat |
Paketbetreuer | NeuroDebian Team |
Quelle | pymvpa |
Paketgröße | 2165668 Byte |
Prüfsumme MD5 | a763f5d8f490941c3355675cf74f3c92 |
Prüfsumme SHA1 | 018bf9ba04c4dd670875f07b84bfac31f7527fef |
Prüfsumme SHA256 | 4f8e3ae5c5a1ab35658734b4343e36ac36674c6bf3d2f730ad225b94a75b9f29 |
Link zum Herunterladen | python-mvpa_0.4.5~dev23-2_all.deb |
Ausführliche Beschreibung | 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).
.
While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it
is eminently suited for such datasets.
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