File discretization_function.hpp

namespace boosting
class IDiscretizationFunction
#include <discretization_function.hpp>

Defines an interface for all classes that allow to discretize regression scores.

Public Functions

inline virtual ~IDiscretizationFunction()
virtual bool discretizeScore(uint32 labelIndex, float64 score) const = 0

Discretizes the regression score that is predicted for a specific label.

Parameters:

  • labelIndex – The index of the label, the regression score is predicted for

  • score – The regression score to be discretized

Returns:

A binary value the given regression score has been turned into

class IDiscretizationFunctionFactory
#include <discretization_function.hpp>

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

Subclassed by boosting::ProbabilityDiscretizationFunctionFactory, boosting::ScoreDiscretizationFunctionFactory

Public Functions

inline virtual ~IDiscretizationFunctionFactory()
virtual std::unique_ptr<IDiscretizationFunction> create(const IMarginalProbabilityCalibrationModel &marginalProbabilityCalibrationModel) const = 0

Creates and returns a new object of the type IDiscretizationFunction.

Parameters:

marginalProbabilityCalibrationModel – A reference to an object of type IMarginalProbabilityCalibrationModel that should be used for the calibration of marginal probabilities

Returns:

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