python-mvpa2 2.2.0-3 (i386 binary) in ubuntu saucy
PyMVPA eases pattern classification analyses of large datasets, with an
accent on neuroimaging. 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.
.
This is a package of PyMVPA v.2. Previously released stable version
is provided by the python-mvpa package.
Details
- Package version:
- 2.2.0-3
- Status:
- Obsolete
- Component:
- universe
- Priority:
- Optional
Downloadable files
i386 build of pymvpa2 2.2.0-3 in ubuntu saucy PROPOSED produced
these files:
- python-mvpa2_2.2.0-3_all.deb (2.3 MiB)
Package relationships
- Provides:
- python2.7-mvpa2