This class implements OperationTest for a grids with poly basis ansatzfunctions with. More...

#include <OperationTestPoly.hpp>

Inheritance diagram for sgpp::datadriven::OperationTestPoly:

Public Member Functions
virtual void	calculateROCcurve (sgpp::base::DataVector &alpha, sgpp::base::DataMatrix &data, sgpp::base::DataVector &classes, sgpp::base::DataVector &thresholds, sgpp::base::DataMatrix &ROC_curve)
	Computes the classification accuracy on some test data. More...

	OperationTestPoly (base::GridStorage *storage, size_t degree)
	Constructor. More...

virtual double	test (base::DataVector &alpha, base::DataMatrix &data, base::DataVector &classes)
	Computes the classification accuracy on some test data. More...

virtual double	testMSE (base::DataVector &alpha, base::DataMatrix &data, base::DataVector &refValues)
	Computes the regression accuracy on some test data. More...

virtual double	testWithCharacteristicNumber (sgpp::base::DataVector &alpha, sgpp::base::DataMatrix &data, sgpp::base::DataVector &classes, sgpp::base::DataVector &charaNumbers)
	Computes the classification accuracy on some test data. More...

virtual	~OperationTestPoly ()
	Destructor. More...

Public Member Functions inherited from sgpp::datadriven::OperationTest
	OperationTest ()
	Constructor. More...

virtual	~OperationTest ()
	Destructor. More...

Protected Attributes
base::SPolyBase	base
	Poly Basis object. More...

base::GridStorage *	storage
	Pointer to base::GridStorage object. More...

Detailed Description

This class implements OperationTest for a grids with poly basis ansatzfunctions with.

Constructor & Destructor Documentation

◆ OperationTestPoly()

sgpp::datadriven::OperationTestPoly::OperationTestPoly	(	base::GridStorage *	storage,
		size_t	degree
	)

inlineexplicit

Constructor.

Parameters

storage	the grid's base::GridStorage object
degree	the polynom's max. degree

◆ ~OperationTestPoly()

virtual sgpp::datadriven::OperationTestPoly::~OperationTestPoly ( )

inlinevirtual

Destructor.

References alpha, calculateROCcurve(), python.statsfileInfo::data, test(), testMSE(), and testWithCharacteristicNumber().

Member Function Documentation

◆ calculateROCcurve()

void sgpp::datadriven::OperationTestPoly::calculateROCcurve	(	sgpp::base::DataVector &	alpha,
		sgpp::base::DataMatrix &	data,
		sgpp::base::DataVector &	classes,
		sgpp::base::DataVector &	thresholds,
		sgpp::base::DataMatrix &	ROC_curve
	)

virtual

Computes the classification accuracy on some test data.

The function is evaluated at the given points. Tests on the classes {+1, -1}, cut-off variable at threshold

Also the number of the TP TN FP FN are determined

Parameters

alpha	the coefficients of the sparse grid's base functions
data	the coordinates of the evaluation points
classes	sgpp::base::DataVector the holds the class information
thresholds	the thresholds (between -1.0 and 1.0) for calculating the ROC curve
ROC_curve	DataMatrix into which the ROC curve is stored

Implements sgpp::datadriven::OperationTest.

References base, storage, and sgpp::datadriven::test_calculateROCcurve().

Referenced by ~OperationTestPoly().

◆ test()

double sgpp::datadriven::OperationTestPoly::test	(	base::DataVector &	alpha,
		base::DataMatrix &	data,
		base::DataVector &	classes
	)

virtual

Computes the classification accuracy on some test data.

The function is evaluated at the given points. Tests on the classes {+1, -1}, cut-off at 0.

Parameters

alpha	the coefficients of the sparse grid's base functions
data	the coordinates of the evaluation points
classes	sgpp::base::DataVector holding the class information

Implements sgpp::datadriven::OperationTest.

References base, storage, and sgpp::datadriven::test_dataset().

Referenced by ~OperationTestPoly().

◆ testMSE()

double sgpp::datadriven::OperationTestPoly::testMSE	(	base::DataVector &	alpha,
		base::DataMatrix &	data,
		base::DataVector &	refValues
	)

virtual

Computes the regression accuracy on some test data.

The function is evaluated at the given points. Calculates the MSE between between the given values and the values evaluated on the sparse grid.

Parameters

alpha	the coefficients of the sparse grid's base functions
data	the coordinates of the evaluation points
refValues	sgpp::base::DataVector holding the reference function values

Implements sgpp::datadriven::OperationTest.

References base, storage, and sgpp::datadriven::test_dataset_mse().

Referenced by ~OperationTestPoly().

◆ testWithCharacteristicNumber()

double sgpp::datadriven::OperationTestPoly::testWithCharacteristicNumber	(	sgpp::base::DataVector &	alpha,
		sgpp::base::DataMatrix &	data,
		sgpp::base::DataVector &	classes,
		sgpp::base::DataVector &	charaNumbers
	)

virtual

Computes the classification accuracy on some test data.

The function is evaluated at the given points. Tests on the classes {+1, -1}, cut-off at 0.

Also the number of the TP TN FP FN are determined

Parameters

alpha	the coefficients of the sparse grid's base functions
data	the coordinates of the evaluation points
classes	sgpp::base::DataVector the holds the class information
charaNumbers	the number of true positives, true negatives, false positives, false negatives (Vector of length 4)

Implements sgpp::datadriven::OperationTest.

References base, storage, and sgpp::datadriven::test_datasetWithCharacteristicNumber().

Referenced by ~OperationTestPoly().