python-mvpa2 binary package in Ubuntu Bionic amd64
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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2018-04-09 10:19:12 UTC | Published | Ubuntu Bionic amd64 | release | universe | python | Optional | 2.6.4-2 | ||
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Deleted | Ubuntu Bionic amd64 | proposed | universe | python | Optional | 2.6.4-2 | |||
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2018-02-06 00:39:32 UTC | Superseded | Ubuntu Bionic amd64 | proposed | universe | python | Optional | 2.6.4-1 | ||
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2018-01-30 11:59:42 UTC | Superseded | Ubuntu Bionic amd64 | proposed | universe | python | Optional | 2.6.3-1 | ||
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2017-11-04 01:12:36 UTC | Superseded | Ubuntu Bionic amd64 | proposed | universe | python | Optional | 2.6.2-1 | ||
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2018-04-09 10:19:29 UTC | Superseded | Ubuntu Bionic amd64 | release | universe | python | Optional | 2.6.0-1 | ||
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