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Translating python-mvpa

# Source: pymvpa
# Package(s): python-mvpa
# Prioritize: 46
# Versions: python-mvpa (0.4.3-2), python-mvpa (0.4.3-1), python-mvpa (0.4.2-1), python-mvpa (0.4.1-1), python-mvpa (0.4.0-1), python-mvpa (0.3.1-1), python-mvpa (0.2.2-1)

Short description

Untranslated: multivariate pattern analysis with Python
Translated (cs):

Long description

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Untranslated:

Python module to ease pattern classification analyses of large
datasets. 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.

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Raw form:

# Source: pymvpa
# Package(s): python-mvpa
# Prioritize: 46
# Versions: python-mvpa (0.4.3-2), python-mvpa (0.4.3-1), python-mvpa (0.4.2-1), python-mvpa (0.4.1-1), python-mvpa (0.4.0-1), python-mvpa (0.3.1-1), python-mvpa (0.2.2-1)
# This Description is active
# This Description is owned
Description: multivariate pattern analysis with Python
 Python module to ease pattern classification analyses of large
 datasets. 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.
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