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Multivariate Pattern Analysis in Python |
Inheritance diagram for mvpa.measures.splitmeasure:
This is a FeaturewiseDatasetMeasure that uses another FeaturewiseDatasetMeasure and runs it multiple times on differents splits of a Dataset.
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.
Note
Available state variables:
(States enabled by default are listed with +)
See also
Please refer to the documentation of the base class for more information:
Cheap initialization.
Parameters: |
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Bases: mvpa.measures.splitmeasure.SplitFeaturewiseMeasure
SplitFeaturewiseMeasure computing featurewise t-score of sensitivities across splits.
Note
Available state variables:
(States enabled by default are listed with +)
See also
Please refer to the documentation of the base class for more information:
Cheap initialization.
Parameters: |
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