sgpp::datadriven::DensitySystemMatrix Class Reference

Class that implements the virtual class OperationMatrix for the application of classification for the Systemmatrix by using a density function. More...

#include <DensitySystemMatrix.hpp>

Inheritance diagram for sgpp::datadriven::DensitySystemMatrix:

Public Member Functions
	DensitySystemMatrix (sgpp::base::OperationMatrix *A, sgpp::base::OperationMultipleEval *B, sgpp::base::OperationMatrix *C, double lambda, size_t numSamples)
	Std-Constructor. More...
	DensitySystemMatrix (base::Grid &grid, base::DataMatrix &trainData, base::OperationMatrix *C, double lambda)
	Std-Constructor. More...
void	generateb (base::DataVector &b)
	Generates the right hand side of the classification equation. More...
void	mult (base::DataVector &alpha, base::DataVector &result)
	Generates the left hand side of the classification equation. More...
virtual	~DensitySystemMatrix ()
	Std-Destructor. More...
Public Member Functions inherited from sgpp::base::OperationMatrix
	OperationMatrix ()
	Constructor. More...
virtual	~OperationMatrix ()
	Destructor. More...

Detailed Description

Class that implements the virtual class OperationMatrix for the application of classification for the Systemmatrix by using a density function.

Constructor & Destructor Documentation

DensitySystemMatrix() [1/2]

sgpp::datadriven::DensitySystemMatrix::DensitySystemMatrix	(	sgpp::base::OperationMatrix *	A,
		sgpp::base::OperationMultipleEval *	B,
		sgpp::base::OperationMatrix *	C,
		double	lambda,
		size_t	numSamples
	)

Std-Constructor.

Parameters

A	L^2 dot product matrix of some grid
B	MultipleEval matrix of grid and data points
C	the regression functional
lambda	the regression parameter
numSamples	number of data samples

DensitySystemMatrix() [2/2]

sgpp::datadriven::DensitySystemMatrix::DensitySystemMatrix	(	base::Grid &	grid,
		base::DataMatrix &	trainData,
		base::OperationMatrix *	C,
		double	lambda
	)

Std-Constructor.

Parameters

grid	reference to the sparse grid
trainData	reference to DataVector that contains the training data
C	the regression functional
lambda	the regression parameter

References sgpp::op_factory::createOperationLTwoDotProduct(), and sgpp::op_factory::createOperationMultipleEval().

~DensitySystemMatrix()

sgpp::datadriven::DensitySystemMatrix::~DensitySystemMatrix ( )

virtual

Std-Destructor.

Member Function Documentation

generateb()

void sgpp::datadriven::DensitySystemMatrix::generateb

(

base::DataVector &

b

)

Generates the right hand side of the classification equation.

Parameters

b	reference to the vector which will contain the result of the matrix vector multiplication on the rhs

References sgpp::base::DataVector::mult(), and sgpp::base::DataVector::setAll().

Referenced by sgpp::datadriven::LearnerSGDE::train(), and sgpp::datadriven::LearnerSGDE::trainOnline().

mult()

void sgpp::datadriven::DensitySystemMatrix::mult ( base::DataVector &  alpha, base::DataVector &  result  )

virtual

Generates the left hand side of the classification equation.

Parameters

alpha	parameters for the sparse grid functions
result	reference to the vector which will contain the result

Implements sgpp::base::OperationMatrix.

References sgpp::base::DataVector::axpy(), sgpp::base::DataVector::getSize(), sgpp::base::DataVector::setAll(), and analyse_erg::tmp.

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

• datadriven/src/sgpp/datadriven/algorithm/DensitySystemMatrix.hpp
• datadriven/src/sgpp/datadriven/algorithm/DensitySystemMatrix.cpp