mvpa2.featsel.helpersΒΆ
Helpers for feature selection (scoring, selection strategies)
Functions
| floor(x) | Return the floor of x as a float. |
Classes
| AttrDataset(samples[, sa, fa, a]) | Generic storage class for datasets with multiple attributes. |
| BestDetector([func, lastminimum]) | Determine whether the last value in a sequence is the best one given some criterion. |
| ClassWithCollections([descr]) | Base class for objects which contain any known collection |
| ConditionalAttribute([enabled]) | Simple container intended to conditionally store the value |
| 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. |
