sgpp::datadriven::DMWeightMatrix Class Reference

Class that implements the virtual class OperationMatrix for the application of classification for the Systemmatrix with weight. More...

#include <DMWeightMatrix.hpp>

Inheritance diagram for sgpp::datadriven::DMWeightMatrix:

Public Member Functions
	DMWeightMatrix (sgpp::base::Grid &SparseGrid, sgpp::base::DataMatrix &trainData, sgpp::base::OperationMatrix &C, double lambda, sgpp::base::DataVector &w)
	Std-Constructor. More...
void	generateb (sgpp::base::DataVector &classes, sgpp::base::DataVector &b)
	Generates the right hand side of the classification equation. More...
virtual void	mult (sgpp::base::DataVector &alpha, sgpp::base::DataVector &result)
	starts the Multiplication with the matrix More...
virtual	~DMWeightMatrix ()
	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 with weight.

Constructor & Destructor Documentation

DMWeightMatrix()

sgpp::datadriven::DMWeightMatrix::DMWeightMatrix	(	sgpp::base::Grid &	SparseGrid,
		sgpp::base::DataMatrix &	trainData,
		sgpp::base::OperationMatrix &	C,
		double	lambda,
		sgpp::base::DataVector &	w
	)

Std-Constructor.

Parameters

SparseGrid	reference to the sparse grid
trainData	reference to sgpp::base::DataVector that contains the training data
C	the regression functional
lambda	the lambda, the regression parameter
w	the weights to the training data

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

~DMWeightMatrix()

sgpp::datadriven::DMWeightMatrix::~DMWeightMatrix ( )

virtual

Std-Destructor.

Member Function Documentation

generateb()

void sgpp::datadriven::DMWeightMatrix::generateb	(	sgpp::base::DataVector &	classes,
		sgpp::base::DataVector &	b
	)

Generates the right hand side of the classification equation.

Parameters

classes	the class information of the training data
b	reference to the vector that will contain the result of the matrix vector multiplication on the rhs

References sgpp::base::DataVector::componentwise_mult(), and sgpp::base::OperationMultipleEval::multTranspose().

Referenced by sgpp::datadriven::AlgorithmAdaBoostIdentity::alphaSolver().

mult()

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

virtual

starts the Multiplication with the matrix

Parameters

alpha	DataVector that contains the ansatzfunctions' coefficients
result	DataVector into which the result of the Laplace operation is stored

Implements sgpp::base::OperationMatrix.

References sgpp::base::DataVector::axpy(), sgpp::base::DataVector::getSize(), sgpp::base::OperationMatrix::mult(), sgpp::base::OperationMultipleEval::mult(), and sgpp::base::OperationMultipleEval::multTranspose().

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

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