python-mvpa binary package in Ubuntu Trusty armhf
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, GNB, Ridge Regressions, Sparse Multinomial Logistic
Regression), and bindings to external machine learning libraries (libsvm,
shogun).
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While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it
is eminently suited for such datasets.
Publishing history
Date | Status | Target | Component | Section | Priority | Phased updates | Version | ||
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2013-10-18 14:25:21 UTC | Published | Ubuntu Trusty armhf | release | universe | python | Optional | 0.4.8-3 | ||
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