mvpa2.featsel.rfeΒΆ

Recursive feature elimination.

Inheritance diagram of mvpa2.featsel.rfe

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
RFE(fmeasure, pmeasure, splitter[, ...]) Recursive feature elimination.
Sensitivity(clf[, force_train]) Sensitivities of features for a given Classifier.

NeuroDebian

NITRC-listed