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. |
