sgpp::datadriven::OperationDensityMargTo1D Class Reference

Marginalize Probability Density Function. More...

#include <OperationDensityMargTo1D.hpp>

Public Member Functions
virtual void	margToDimX (base::DataVector *alpha, base::Grid *&grid_x, base::DataVector *&alpha_x, size_t dim_x)
	Keep applying marginalizes to (Density) Functions, until it's reduced to 1 dimension (dim_x)
virtual void	margToDimXs (base::DataVector *alpha, base::Grid *&grid_x, base::DataVector *&alpha_x, std::vector< size_t > &dim_x)
	Keep applying marginalizes to (Density) Functions, until it's reduced to d dimensions (dim_x)
	OperationDensityMargTo1D (base::Grid *grid)
virtual	~OperationDensityMargTo1D ()

Protected Member Functions
void	computeMarginalizationIndices (std::vector< size_t > &dim_x, size_t numDims, std::vector< size_t > &margDims)
void	marg_next_dim (base::Grid *g_in, base::DataVector *a_in, base::Grid *&g_out, base::DataVector *&a_out, std::vector< size_t > margDims, size_t ix)

Protected Attributes
base::Grid *	grid

Detailed Description

Marginalize Probability Density Function.

Constructor & Destructor Documentation

OperationDensityMargTo1D()

sgpp::datadriven::OperationDensityMargTo1D::OperationDensityMargTo1D ( base::Grid *  grid )

inlineexplicit

~OperationDensityMargTo1D()

virtual sgpp::datadriven::OperationDensityMargTo1D::~OperationDensityMargTo1D ( )

inlinevirtual

Member Function Documentation

computeMarginalizationIndices()

void sgpp::datadriven::OperationDensityMargTo1D::computeMarginalizationIndices ( std::vector< size_t > &  dim_x, size_t  numDims, std::vector< size_t > &  margDims  )

protected

Referenced by margToDimXs().

marg_next_dim()

void sgpp::datadriven::OperationDensityMargTo1D::marg_next_dim ( base::Grid *  g_in, base::DataVector *  a_in, base::Grid *&  g_out, base::DataVector *&  a_out, std::vector< size_t >  margDims, size_t  ix  )

protected

References sgpp::op_factory::createOperationDensityMarginalize(), sgpp::datadriven::OperationDensityMarginalize::doMarginalize(), and marg_next_dim().

Referenced by marg_next_dim(), and margToDimXs().

margToDimX()

void sgpp::datadriven::OperationDensityMargTo1D::margToDimX ( base::DataVector *  alpha, base::Grid *&  grid_x, base::DataVector *&  alpha_x, size_t  dim_x  )

virtual

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

Parameters

alpha	Coefficient vector for current grid
grid_x	output 1D grid pointer
alpha_x	Coefficient vector for new grid (grid_x). Will be initialized.
dim_x	Target dimension, all other dimensions will be marginalized

References alpha, sgpp::base::Grid::getDimension(), grid, and margToDimXs().

Referenced by sgpp::datadriven::OperationDensitySamplingLinear::doSampling(), sgpp::datadriven::OperationDensitySamplingLinear::doSampling(), sgpp::datadriven::OperationDensitySamplingLinear::doSampling_in_next_dim(), sgpp::datadriven::OperationRosenblattTransformationBspline::doTransformation_in_next_dim(), sgpp::datadriven::OperationRosenblattTransformationBsplineBoundary::doTransformation_in_next_dim(), sgpp::datadriven::OperationRosenblattTransformationBsplineClenshawCurtis::doTransformation_in_next_dim(), sgpp::datadriven::OperationRosenblattTransformationLinear::doTransformation_in_next_dim(), sgpp::datadriven::OperationRosenblattTransformationModBspline::doTransformation_in_next_dim(), sgpp::datadriven::OperationRosenblattTransformationModBsplineClenshawCurtis::doTransformation_in_next_dim(), sgpp::datadriven::OperationRosenblattTransformationModPoly::doTransformation_in_next_dim(), sgpp::datadriven::OperationRosenblattTransformationModPolyClenshawCurtis::doTransformation_in_next_dim(), sgpp::datadriven::OperationRosenblattTransformationPoly::doTransformation_in_next_dim(), sgpp::datadriven::OperationRosenblattTransformationPolyBoundary::doTransformation_in_next_dim(), sgpp::datadriven::OperationRosenblattTransformationPolyClenshawCurtis::doTransformation_in_next_dim(), sgpp::datadriven::OperationRosenblattTransformationPolyClenshawCurtisBoundary::doTransformation_in_next_dim(), sgpp::datadriven::OperationInverseRosenblattTransformationBspline::doTransformation_in_next_dim(), sgpp::datadriven::OperationInverseRosenblattTransformationBsplineBoundary::doTransformation_in_next_dim(), sgpp::datadriven::OperationInverseRosenblattTransformationBsplineClenshawCurtis::doTransformation_in_next_dim(), sgpp::datadriven::OperationInverseRosenblattTransformationLinear::doTransformation_in_next_dim(), sgpp::datadriven::OperationInverseRosenblattTransformationModBspline::doTransformation_in_next_dim(), sgpp::datadriven::OperationInverseRosenblattTransformationModBsplineClenshawCurtis::doTransformation_in_next_dim(), sgpp::datadriven::OperationInverseRosenblattTransformationModPoly::doTransformation_in_next_dim(), sgpp::datadriven::OperationInverseRosenblattTransformationModPolyClenshawCurtis::doTransformation_in_next_dim(), sgpp::datadriven::OperationInverseRosenblattTransformationPoly::doTransformation_in_next_dim(), sgpp::datadriven::OperationInverseRosenblattTransformationPolyBoundary::doTransformation_in_next_dim(), sgpp::datadriven::OperationInverseRosenblattTransformationPolyClenshawCurtis::doTransformation_in_next_dim(), and sgpp::datadriven::OperationInverseRosenblattTransformationPolyClenshawCurtisBoundary::doTransformation_in_next_dim().

margToDimXs()

void sgpp::datadriven::OperationDensityMargTo1D::margToDimXs ( base::DataVector *  alpha, base::Grid *&  grid_x, base::DataVector *&  alpha_x, std::vector< size_t > &  dim_x  )

virtual

Keep applying marginalizes to (Density) Functions, until it's reduced to d dimensions (dim_x)

Parameters

alpha	Coefficient vector for current grid
grid_x	output 1D grid pointer
alpha_x	Coefficient vector for new grid (grid_x). Will be initialized.
dim_x	Target dimension, all other dimensions will be marginalized

References alpha, sgpp::base::Grid::clone(), computeMarginalizationIndices(), sgpp::base::DataVector::get(), sgpp::base::Grid::getDimension(), sgpp::base::DataVector::getSize(), grid, marg_next_dim(), and sgpp::base::DataVector::set().

Referenced by margToDimX().

Member Data Documentation

grid

base::Grid* sgpp::datadriven::OperationDensityMargTo1D::grid

protected

Referenced by python.uq.dists.SGDEdist.SGDEdist::__str__(), python.learner.Learner.Learner::applyData(), python.tools.Matrix::ApplyMatrix(), python.uq.dists.SGDEdist.SGDEdist::cdf(), python.uq.learner.Interpolant.Interpolant::doLearningIteration(), python.learner.Learner.Learner::doLearningIteration(), python.learner.Classifier.Classifier::evalError(), python.uq.learner.Interpolant.Interpolant::evalError(), python.tools.Matrix::generateb(), python.controller.CheckpointController.CheckpointController::generateFoldValidationJob(), python.uq.learner.SimulationLearner.SimulationLearner::getCollocationNodes(), python.uq.learner.SimulationLearner.SimulationLearner::getGrid(), python.uq.learner.SimulationLearner.SimulationLearner::getLearner(), python.learner.Learner.Learner::learnData(), python.learner.Learner.Learner::learnDataWithFolding(), python.uq.learner.Regressor.Regressor::learnDataWithFolding(), python.learner.Learner.Learner::learnDataWithTest(), python.uq.learner.Regressor.Regressor::learnDataWithTest(), python.controller.CheckpointController.CheckpointController::loadAll(), python.uq.operations.forcePositivity.operationMakePositive.OperationMakePositive::makePositive(), python.uq.operations.forcePositivity.operationMakePositiveFast.OperationMakePositiveFast::makePositive(), margToDimX(), margToDimXs(), python.uq.dists.SGDEdist.SGDEdist::mean(), python.uq.dists.SGDEdist.SGDEdist::pdf(), python.uq.dists.SGDEdist.SGDEdist::ppf(), python.learner.Classifier.Classifier::refineGrid(), python.learner.Regressor.Regressor::refineGrid(), python.uq.learner.Regressor.Regressor::refineGrid(), python.uq.learner.SimulationLearner.SimulationLearner::refineGrid(), python.controller.CheckpointController.CheckpointController::saveGrid(), python.controller.CheckpointController.CheckpointController::setGrid(), python.learner.Learner.Learner::setGrid(), python.uq.learner.Learner.Learner::setGrid(), python.uq.operations.forcePositivity.localFullGridSearch.LocalFullGrid::split(), python.uq.dists.SGDEdist.SGDEdist::toJson(), and python.uq.dists.SGDEdist.SGDEdist::var().

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

• datadriven/src/sgpp/datadriven/operation/hash/simple/OperationDensityMargTo1D.hpp
• datadriven/src/sgpp/datadriven/operation/hash/simple/OperationDensityMargTo1D.cpp