| Paketname | python-mvpa |
| Beschreibung | multivariate pattern analysis with Python |
| Archiv/Repository | Offizielles Ubuntu Archiv lucid (universe) |
| Version | 0.4.3-2 |
| Sektion | universe/python |
| Priorität | optional |
| Installierte Größe | 4080 Byte |
| Hängt ab von | python (>= 2.5), python-support (>= 0.90.0), python2.6, python-numpy, python-mvpa-lib (>= 0.4.3-2) |
| Empfohlene Pakete | python-nifti, python-psyco, python-mdp, python-scipy, shogun-python-modular, python-pywt, python-mat |
| Paketbetreuer | Ubuntu Developers |
| Quelle | pymvpa |
| Paketgröße | 2140896 Byte |
| Prüfsumme MD5 | 7f37239fa676c0338b0fde07234f5fd9 |
| Prüfsumme SHA1 | a55673617b1078b5fb7edd6ca52f4282f30f495f |
| Prüfsumme SHA256 | 2fff744e11e9f566aad59c413a90d7ad7493677d27c5ac8bfa4039768a2b541a |
| Link zum Herunterladen | python-mvpa_0.4.3-2_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, 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.
|