Metric that is based on a residual score of the model. More...

#include <ResidualScore.hpp>

Inheritance diagram for sgpp::datadriven::ResidualScore:

Public Member Functions
Metric *	clone () const override
	Polymorphic clone pattern.

double	measure (const DataVector &predictedValues, const DataVector &trueValues, const ModelFittingBase &model, Dataset &testDataset) const override
	Measure the quality of the trained model.

double	measureLowerIsBetter (const DataVector &predictedValues, const DataVector &trueValues, const ModelFittingBase &model, Dataset &testDataset) const override
	Measure the quality of the trained model.

Public Member Functions inherited from sgpp::datadriven::Metric
	Metric ()=default
	Default constructor.

	Metric (const Metric &rhs)=default
	Copy constructor.

	Metric (Metric &&rhs)=default
	Move constructor.

Metric &	operator= (const Metric &rhs)=default
	Copy assign operator.

Metric &	operator= (Metric &&rhs)=default
	Move assign operator.

virtual	~Metric ()=default
	virtual destructor.

Detailed Description

Metric that is based on a residual score of the model.

For density estimation, this is || R * alpha_lambda - b_val ||_2

Member Function Documentation

Metric * sgpp::datadriven::ResidualScore::clone ( ) const

overridevirtual

Polymorphic clone pattern.

double sgpp::datadriven::ResidualScore::measure	(	const DataVector &	predictedValues,
		const DataVector &	trueValues,
		const ModelFittingBase &	model,
		Dataset &	testDataset
	)		const

overridevirtual

Measure the quality of the trained model.

Gives the metric access to the trained model, as this is required for some scores.

Parameters

double sgpp::datadriven::ResidualScore::measureLowerIsBetter	(	const DataVector &	predictedValues,
		const DataVector &	trueValues,
		const ModelFittingBase &	model,
		Dataset &	testDataset
	)		const

overridevirtual

Measure the quality of the trained model.

Gives the metric access to the trained model, as this is required for some scores.

Parameters

References measure().

The documentation for this class was generated from the following files: