python-mvpa 0.4.7-2 (i386 binary) in ubuntu oneiric
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.
Details
- Package version:
- 0.4.7-2
- Status:
- Superseded
- Component:
- universe
- Priority:
- Optional
Downloadable files
i386 build of pymvpa 0.4.7-2 in ubuntu oneiric RELEASE produced
these files:
- python-mvpa_0.4.7-2_all.deb (2.1 MiB)
Package relationships
- Provides:
- python2.6-mvpa
- python2.7-mvpa