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PyMVPA: Python MultiVariate Pattern Analysis
Package mvpa
:: Package measures
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Package measures
source code
Submodules
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mvpa.measures.anova
:
FeaturewiseDatasetMeasure performing a univariate ANOVA.
mvpa.measures.base
:
Base class for data measures: algorithms that quantify properties of datasets.
mvpa.measures.corrcoef
:
FeaturewiseDatasetMeasure of correlation with the labels.
mvpa.measures.irelief
:
FeaturewiseDatasetMeasure performing multivariate Iterative RELIEF (I-RELIEF) algorithm.
mvpa.measures.noiseperturbation
:
This is a
FeaturewiseDatasetMeasure
that uses a scalar
DatasetMeasure
and selective noise perturbation to compute a sensitivity map.
mvpa.measures.pls
mvpa.measures.searchlight
:
Implementation of the Searchlight algorithm
mvpa.measures.splitmeasure
:
This is a
FeaturewiseDatasetMeasure
that uses another
FeaturewiseDatasetMeasure
and runs it multiple times on differents splits of a
Dataset
.
Imports:
debug
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PyMVPA: Python MultiVariate Pattern Analysis
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