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Package: python-mvpa2 (2.6.4-2)

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python-mvpa2

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Download Source Package pymvpa2:

Maintainer:

Original Maintainers:

  • NeuroDebian team
  • Michael Hanke
  • Yaroslav Halchenko

External Resources:

Similar packages:

multivariate pattern analysis with Python v. 2

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.

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