Package mvpa :: Package measures :: Module base

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# Module base

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Base class for data measures: algorithms that quantify properties of datasets.

Besides the DatasetMeasure base class this module also provides the (abstract) FeaturewiseDatasetMeasure class. The difference between a general measure and the output of the FeaturewiseDatasetMeasure is that the latter returns a 1d map (one value per feature in the dataset). In contrast there are no restrictions on the returned value of DatasetMeasure except for that it has to be in some iterable container.

Classes | [hide private]

| DatasetMeasure A measure computed from a Dataset
| FeaturewiseDatasetMeasure A per-feature-measure computed from a Dataset (base class).
| StaticDatasetMeasure A static (assigned) sensitivity measure.
| Sensitivity
| CombinedFeaturewiseDatasetMeasure Set sensitivity analyzers to be merged into a single output
| SplitFeaturewiseDatasetMeasure Compute measures across splits for a specific analyzer
| BoostedClassifierSensitivityAnalyzer Set sensitivity analyzers to be merged into a single output
| ProxyClassifierSensitivityAnalyzer Set sensitivity analyzer output just to pass through
| MappedClassifierSensitivityAnalyzer Set sensitivity analyzer output be reverse mapped using mapper of the slave classifier
| FeatureSelectionClassifierSensitivityAnalyzer Set sensitivity analyzer output be reverse mapped using mapper of the slave classifier

Imports: N, copy, StateVariable, ClassWithCollections, group_kwargs, FirstAxisMean, SecondAxisSumOfAbs, enhancedDocString, externals, warning, autoNullDist, debug