File example_weights.hpp

class IExampleWeights
#include <example_weights.hpp>

Defines an interface for all classes that provide access to the weights of individual training examples.

Subclassed by IEqualExampleWeights, IRealValuedExampleWeights

Public Functions

inline virtual ~IExampleWeights()
virtual std::unique_ptr<IInstanceSampling> createInstanceSampling(const IClassificationInstanceSamplingFactory &factory, const IRowWiseLabelMatrix &labelMatrix, IStatistics &statistics, IPartition &partition) const = 0

Creates and returns a new instance of the class IInstanceSampling that can be used in classification problems, based on the type of this partition.

Parameters:

  • factory – A reference to an object of type IClassificationInstanceSamplingFactory that should be used to create the instance

  • labelMatrix – A reference to an object of type IRowWiseLabelMatrix that provides row-wise access to the labels of individual training examples

  • statistics – A reference to an object of type IStatistics that provides access to the statistics which serve as a basis for learning rules

  • partition – A reference to an object of type IPartition that provides access to the indices of the training examples that are included in the training and holdout set, respectively

Returns:

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

virtual std::unique_ptr<IInstanceSampling> createInstanceSampling(const IRegressionInstanceSamplingFactory &factory, const IRowWiseRegressionMatrix &regressionMatrix, IStatistics &statistics, IPartition &partition) const = 0

Creates and returns a new instance of the class IInstanceSampling that can be used in classification problems, based on the type of this partition.

Parameters:

  • factory – A reference to an object of type IRegressionInstanceSamplingFactory that should be used to create the instance

  • regressionMatrix – A reference to an object of type IRowWiseRegressionMatrix that provides row-wise access to the regression scores of individual training examples

  • statistics – A reference to an object of type IStatistics that provides access to the statistics which serve as a basis for learning rules

  • partition – A reference to an object of type IPartition that provides access to the indices of the training examples that are included in the training and holdout set, respectively

Returns:

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