File feature_sampling_predefined.hpp¶

class PredefinedFeatureSampling : public IFeatureSampling ¶

#include <feature_sampling_predefined.hpp>

An implementation of the class IFeatureSampling that does not perform any sampling, but always returns a predefined set of features.

Public Functions

PredefinedFeatureSampling(const IIndexVector &indexVector)¶

Parameters:: indexVector – A reference to an object of type IIndexVector that stores predefined feature indices

virtual const IIndexVector &sample(RNG &rng) override¶

Creates and returns a sample of the available features.

Parameters:: rng – A reference to an object of type RNG, implementing the random number generator to be used
Returns:: A reference to an object of type IIndexVector that provides access to the indices of the features that are contained in the sample

virtual std::unique_ptr<IFeatureSampling> createBeamSearchFeatureSampling(RNG &rng, bool resample) override¶

Creates and returns a new object of type IFeatureSampling that is suited for use during a beam search.

Parameters:

rng – A reference to an object of type RNG, implementing the random number generator be used
resample – True, if a new sample of the available features should be created whenever the sampling method is invoked during the beam search, false otherwise

Returns:

An unique pointer to an object of type IFeatureSampling that has been created

Private Members