Multivariate Pattern Analysis in Python

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# mvpa2.featsel.rfe

Recursive feature elimination.

Functions

`copy`(x) | Shallow copy operation on arbitrary Python objects.

Classes

`BestDetector`([func, lastminimum]) | Determine whether the last value in a sequence is the best one given some criterion.
`ClassifierError`(clf[, labels, train]) | Compute (or return) some error of a (trained) classifier on a dataset.
`ConditionalAttribute`([enabled]) | Simple container intended to conditionally store the value ..
`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 Initialize with number of steps :Parameters: bestdetector : BestDetector used to determine where the best error is located.
`RFE`(fmeasure, pmeasure, splitter[, ...]) | Recursive feature elimination.
`Sensitivity`(clf[, force_train]) | Sensitivities of features for a given Classifier.

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