Multivariate Pattern Analysis in Python

# mvpa2.featsel.helpers

Helpers for feature selection (scoring, selection strategies)

Classes

`BestDetector`([func, lastminimum]) | Determine whether the last value in a sequence is the best one given some criterion.
`ElementSelector`([mode]) | Base class to implement functors to select some elements based on a sequence of values.
`FixedErrorThresholdStopCrit`(threshold) | Stop computation if the latest error drops below a certain threshold.
`FixedNElementTailSelector`(nelements, **kwargs) | Given a sequence, provide set of IDs for a fixed number of to be selected elements.
`FractionTailSelector`(felements, **kwargs) | Given a sequence, provide Ids for a fraction of elements
`MultiStopCrit`(crits[, mode]) | Stop computation if the latest error drops below a certain threshold.
`NBackHistoryStopCrit`([bestdetector, steps]) | Stop computation if for a number of steps error was increasing
`NStepsStopCrit`(steps) | Stop computation after a certain number of steps.
`RangeElementSelector`([lower, upper, …]) | Select elements based on specified range of values
`StoppingCriterion` | Base class for all functors to decide when to stop RFE (or may be general optimization…
`TailSelector`([tail, sort]) | Select elements from a tail of a distribution.