__init__(self,
data_measure,
transfer_error,
bestdetector=BestDetector(),
stopping_criterion=NBackHistoryStopCrit(BestDetector()),
feature_selector=FixedNElementTailSelector(1,tail='upper',mode='select'),
**kwargs)
(Constructor)
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Initialize incremental feature search
- Parameters:
data_measure (DatasetMeasure) - Computed for each candidate feature selection.
transfer_error (TransferError) - Compute against a test dataset for each incremental feature
set.
bestdetector (Functor) - Given a list of error values it has to return a boolean that
signals whether the latest error value is the total minimum.
stopping_criterion (Functor) - Given a list of error values it has to return whether the
criterion is fulfilled.
- Overrides:
object.__init__
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