File feature_sampling.hpp¶

class IFeatureSampling¶

#include <feature_sampling.hpp>

Defines an interface for all classes that implement a method for sampling features.

Public Functions

virtual const IIndexVector &sample() = 0¶

Creates and returns a sample of the available features.

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(bool resample) = 0¶

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

Parameters:: 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

class IFeatureSamplingFactory¶

#include <feature_sampling.hpp>

Defines an interface for all factories that allow to create instances of the type IFeatureSampling.

Public Functions

virtual std::unique_ptr<IFeatureSampling> create() const = 0¶

Creates and returns a new object of type IFeatureSampling.

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

class IFeatureSamplingConfig¶

#include <feature_sampling.hpp>

Defines an interface for all classes that allow to configure a method for sampling features.

Public Functions

virtual std::unique_ptr<IFeatureSamplingFactory> createFeatureSamplingFactory(const IFeatureMatrix &featureMatrix) const = 0¶

Creates and returns a new object of type IFeatureSamplingFactory according to the specified configuration.

Parameters:: featureMatrix – A reference to an object of type IFeatureMatrix that provides access to the features of the training examples
Returns:: An unique pointer to an object of type IFeatureSamplingFactory that has been created

virtual bool isSamplingUsed() const = 0¶

Returns whether feature sampling is used or not.