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Multivariate Pattern Analysis in Python |
This is a FeaturewiseDatasetMeasure that uses another FeaturewiseDatasetMeasure and runs it multiple times on differents splits of a Dataset.
The comprehensive API documentation for this module, including all technical details, is available in the Epydoc-generated API reference for mvpa.measures.splitmeasure (for developers).
Bases: mvpa.measures.base.FeaturewiseDatasetMeasure
This is a FeaturewiseDatasetMeasure that uses another FeaturewiseDatasetMeasure and runs it multiple times on differents splits of a Dataset.
When called with a Dataset it returns the mean sensitivity maps of all data splits.
Additonally this class supports the State interface. Several postprocessing functions can be specififed to the constructor. The results of the functions specified in the postproc dictionary will be available via their respective keywords.
Cheap initialization.
Parameters: |
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See also
Derived classes might provide additional methods via their base classes. Please refer to the list of base classes (if it exists) at the begining of the SplitFeaturewiseMeasure documentation.
Full API documentation of SplitFeaturewiseMeasure in module mvpa.measures.splitmeasure.