mvpa2.featsel.rfeΒΆ
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, **kwargs[, labels, train]) | Compute (or return) some error of a (trained) classifier on a dataset. |
| ConditionalAttribute(*args, **kwargs[, 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, **kwargs) | Recursive feature elimination. |
| Sensitivity(clf, **kwargs[, force_train]) | Sensitivities of features for a given Classifier. |
