sgpp::datadriven::OperationDensityMarginalizeKDE Class Reference

Marginalize Probability Density Function. More...

#include <OperationDensityMarginalizeKDE.hpp>

Public Member Functions
void	doMarginalize (size_t mdim, datadriven::KernelDensityEstimator &marginalizedKDE)
	Marginalizes (Density) functions in dimension mdim. More...
void	doMarginalize (std::vector< size_t > &mdims, datadriven::KernelDensityEstimator &marginalizedKDE)
	Marginalizes (Density) functions in all dimensions mdims. More...
void	margToDimX (size_t mdim, datadriven::KernelDensityEstimator &marginalizedKDE)
	Keep applying marginalizes to (Density) Functions, until it's reduced to 1 dimension (dim_x) More...
void	margToDimXs (std::vector< size_t > &mdims, datadriven::KernelDensityEstimator &marginalizedKDE)
	Keep applying marginalizes to (Density) Functions, until it's reduced to the dimensions in mdims. More...
	OperationDensityMarginalizeKDE (datadriven::KernelDensityEstimator &kde)
virtual	~OperationDensityMarginalizeKDE ()

Detailed Description

Marginalize Probability Density Function.

Constructor & Destructor Documentation

OperationDensityMarginalizeKDE()

sgpp::datadriven::OperationDensityMarginalizeKDE::OperationDensityMarginalizeKDE ( datadriven::KernelDensityEstimator &  kde )

explicit

~OperationDensityMarginalizeKDE()

sgpp::datadriven::OperationDensityMarginalizeKDE::~OperationDensityMarginalizeKDE ( )

virtual

Member Function Documentation

doMarginalize() [1/2]

void sgpp::datadriven::OperationDensityMarginalizeKDE::doMarginalize	(	size_t	mdim,
		datadriven::KernelDensityEstimator &	marginalizedKDE
	)

Marginalizes (Density) functions in dimension mdim.

Parameters

mdim	marginalize in dimension mdim
marginalizedKDE	marginalized kernel density

References sgpp::datadriven::KernelDensityEstimator::initialize().

doMarginalize() [2/2]

void sgpp::datadriven::OperationDensityMarginalizeKDE::doMarginalize	(	std::vector< size_t > &	mdims,
		datadriven::KernelDensityEstimator &	marginalizedKDE
	)

Marginalizes (Density) functions in all dimensions mdims.

Parameters

mdims	marginalized in all dimensions in mdims
marginalizedKDE	marginalized kernel density

References sgpp::datadriven::KernelDensityEstimator::initialize().

margToDimX()

void sgpp::datadriven::OperationDensityMarginalizeKDE::margToDimX	(	size_t	mdim,
		datadriven::KernelDensityEstimator &	marginalizedKDE
	)

Keep applying marginalizes to (Density) Functions, until it's reduced to 1 dimension (dim_x)

Parameters

mdim	Target dimension, all other dimensions will be marginalized
marginalizedKDE	result of marginalization

References sgpp::datadriven::KernelDensityEstimator::initialize().

Referenced by sgpp::datadriven::OperationDensityConditionalKDE::condToDimX().

margToDimXs()

void sgpp::datadriven::OperationDensityMarginalizeKDE::margToDimXs	(	std::vector< size_t > &	mdims,
		datadriven::KernelDensityEstimator &	marginalizedKDE
	)

Keep applying marginalizes to (Density) Functions, until it's reduced to the dimensions in mdims.

Parameters

mdims	Target dimensions, all other dimensions will be marginalized
marginalizedKDE	result of marginalization

References sgpp::datadriven::KernelDensityEstimator::initialize().

Referenced by sgpp::datadriven::OperationDensityConditionalKDE::doConditional().

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

• datadriven/src/sgpp/datadriven/operation/hash/simple/OperationDensityMarginalizeKDE.hpp
• datadriven/src/sgpp/datadriven/operation/hash/simple/OperationDensityMarginalizeKDE.cpp