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mvpa.featsel.base

Feature selection base class and related stuff base classes and helpers.

Functions

accepts_dataset_as_samples(fx)	Decorator to extract samples from Datasets.
mask2slice(mask)	Convert a boolean mask vector into an equivalent slice (if possible).

Classes

BestDetector([func, lastminimum])	Determine whether the last value in a sequence is the best one given some criterion.
CombinedFeatureSelection(selectors, method, ...)	Meta feature selection utilizing several embedded selection methods.
ConditionalAttribute(*args, **kwargs[, enabled])	Simple container intended to conditionally store the value
FeatureSelection(**kwargs[, filler])	Mapper to select a subset of features.
FractionTailSelector(felements, **kwargs)	Given a sequence, provide Ids for a fraction of elements
IterativeFeatureSelection(fmeasure, ...[, ...])	Notes
NBackHistoryStopCrit([bestdetector, steps])	Stop computation if for a number of steps error was increasing
SensitivityBasedFeatureSelection(...[, ...])	Feature elimination.
SliceMapper(slicearg, **kwargs)	Baseclass of Mapper that slice a Dataset in various ways.
StaticFeatureSelection(slicearg, **kwargs[, ...])	Feature selection by static slicing argument.