sgpp::datadriven::OperationDensityRejectionSamplingLinear Class Reference

Sampling with rejection sampling method. More...

#include <OperationDensityRejectionSamplingLinear.hpp>

Inheritance diagram for sgpp::datadriven::OperationDensityRejectionSamplingLinear:

Public Member Functions
void	doSampling (base::DataVector *alpha, base::DataMatrix *&samples, size_t num_samples, size_t trial_max)
	Rejection sampling. More...
	OperationDensityRejectionSamplingLinear (base::Grid *grid)
virtual	~OperationDensityRejectionSamplingLinear ()
Public Member Functions inherited from sgpp::datadriven::OperationDensityRejectionSampling
	OperationDensityRejectionSampling ()
virtual	~OperationDensityRejectionSampling ()

Protected Attributes
base::Grid *	grid

Detailed Description

Sampling with rejection sampling method.

Constructor & Destructor Documentation

OperationDensityRejectionSamplingLinear()

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

inlineexplicit

~OperationDensityRejectionSamplingLinear()

virtual sgpp::datadriven::OperationDensityRejectionSamplingLinear::~OperationDensityRejectionSamplingLinear ( )

inlinevirtual

References alpha, doSampling(), and parabolasimple::samples.

Member Function Documentation

doSampling()

void sgpp::datadriven::OperationDensityRejectionSamplingLinear::doSampling ( base::DataVector *  alpha, base::DataMatrix *&  samples, size_t  num_samples, size_t  trial_max  )

virtual

Rejection sampling.

Parameters

alpha	Coefficient vector for current grid
samples	Output DataMatrix (rows: # of samples, columns: # of dims)
num_samples	# of samples to draw
trial_max	maximum # of trials for drawing a sample (exceeding will cause operation to stop)

Implements sgpp::datadriven::OperationDensityRejectionSampling.

References sgpp::op_factory::createOperationEval(), sgpp::op_factory::createOperationMultipleEval(), sgpp::base::Grid::getDimension(), grid, python.statsfileInfo::i, python.utils.statsfile2gnuplot::j, sgpp::base::DataVector::max(), sgpp::base::OperationMultipleEval::mult(), friedman::p, sgpp::base::DataMatrix::set(), sgpp::base::DataMatrix::setRow(), and analyse_erg::tmp.

Referenced by ~OperationDensityRejectionSamplingLinear().

Member Data Documentation

grid

base::Grid* sgpp::datadriven::OperationDensityRejectionSamplingLinear::grid

protected

Referenced by python.uq.learner.Interpolant.Interpolant::doLearningIteration(), doSampling(), python.learner.Classifier.Classifier::evalError(), python.uq.learner.Interpolant.Interpolant::evalError(), python.uq.learner.SimulationLearner.SimulationLearner::getCollocationNodes(), python.uq.learner.SimulationLearner.SimulationLearner::getGrid(), python.uq.learner.SimulationLearner.SimulationLearner::getLearner(), python.uq.learner.Regressor.Regressor::learnData(), python.uq.learner.Regressor.Regressor::learnDataWithFolding(), python.uq.learner.Regressor.Regressor::learnDataWithTest(), python.learner.Classifier.Classifier::refineGrid(), python.learner.Regressor.Regressor::refineGrid(), python.uq.learner.Regressor.Regressor::refineGrid(), python.uq.learner.SimulationLearner.SimulationLearner::refineGrid(), python.learner.Classifier.Classifier::updateResults(), python.learner.Regressor.Regressor::updateResults(), and python.uq.learner.Regressor.Regressor::updateResults().

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

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