sgpp::datadriven::LogDensitySystemMatrix Class Reference

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

#include <LogDensitySystemMatrix.hpp>

Inheritance diagram for sgpp::datadriven::LogDensitySystemMatrix:

Public Member Functions
void	generateb (base::DataVector &b)
	Generates the right hand side of the classification equation. More...
	LogDensitySystemMatrix (base::Grid &grid, base::DataVector &alphaRef, base::DataMatrix &trainData, base::OperationMatrix &C, double lambdaRegression)
	Std-Constructor. More...
void	mult (base::DataVector &alpha, base::DataVector &result)
	Generates the left hand side of the classification equation. More...
virtual	~LogDensitySystemMatrix ()
	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

LogDensitySystemMatrix()

sgpp::datadriven::LogDensitySystemMatrix::LogDensitySystemMatrix	(	base::Grid &	grid,
		base::DataVector &	alphaRef,
		base::DataMatrix &	trainData,
		base::OperationMatrix &	C,
		double	lambdaRegression
	)

Std-Constructor.

Parameters

grid	reference to the sparse grid
alphaRef	reference to DataVector hierarchical coefficients
trainData	reference to DataVector that contains the training data
C	the regression functional
lambdaRegression	the regression parameter

~LogDensitySystemMatrix()

virtual sgpp::datadriven::LogDensitySystemMatrix::~LogDensitySystemMatrix ( )

virtual

Std-Destructor.

Member Function Documentation

generateb()

void sgpp::datadriven::LogDensitySystemMatrix::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

mult()

void sgpp::datadriven::LogDensitySystemMatrix::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.

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

• datadriven/src/sgpp/datadriven/algorithm/LogDensitySystemMatrix.hpp