python-mvpa2 binary package in Ubuntu Trusty i386
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).
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While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it
is eminently suited for such datasets.
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This is a package of PyMVPA v.2. Previously released stable version
is provided by the python-mvpa package.
Publishing history
Date | Status | Target | Component | Section | Priority | Phased updates | Version | ||
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2014-02-21 20:43:26 UTC | Published | Ubuntu Trusty i386 | release | universe | python | Optional | 2.2.0-4ubuntu2 | ||
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Deleted | Ubuntu Trusty i386 | proposed | universe | python | Optional | 2.2.0-4ubuntu2 | |||
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2014-02-21 20:43:49 UTC | Superseded | Ubuntu Trusty i386 | release | universe | python | Optional | 2.2.0-4 | ||
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2014-02-23 00:10:10 UTC | Deleted | Ubuntu Trusty i386 | proposed | universe | python | Optional | 2.2.0-4 | ||
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2013-12-14 00:18:43 UTC | Superseded | Ubuntu Trusty i386 | release | universe | python | Optional | 2.2.0-3 | ||
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