sgpp::datadriven::OperationDensitySampling1DLinear Class Reference

#include <OperationDensitySampling1DLinear.hpp>

Inheritance diagram for sgpp::datadriven::OperationDensitySampling1DLinear:

Public Member Functions
void	doSampling1D (base::DataVector *alpha, size_t num_samples, base::DataVector *&samples, unsigned int *seedp)
	Sampling on 1D grid. More...
	OperationDensitySampling1DLinear (base::Grid *grid)
	WARNING: the grid must be a 1D grid! More...
virtual	~OperationDensitySampling1DLinear ()
Public Member Functions inherited from sgpp::datadriven::OperationDensitySampling1D
	OperationDensitySampling1D ()
virtual	~OperationDensitySampling1D ()

Protected Attributes
base::Grid *	grid

Constructor & Destructor Documentation

OperationDensitySampling1DLinear()

sgpp::datadriven::OperationDensitySampling1DLinear::OperationDensitySampling1DLinear ( base::Grid *  grid )

explicit

WARNING: the grid must be a 1D grid!

References grid.

~OperationDensitySampling1DLinear()

sgpp::datadriven::OperationDensitySampling1DLinear::~OperationDensitySampling1DLinear ( )

virtual

Member Function Documentation

doSampling1D()

void sgpp::datadriven::OperationDensitySampling1DLinear::doSampling1D ( base::DataVector *  alpha, size_t  num_samples, base::DataVector *&  samples, unsigned int *  seedp  )

virtual

Sampling on 1D grid.

Parameters

alpha	Coefficient vector for current grid (1D grid)
num_samples	# of samples to draw
samples	Output DataVector
seedp	seed

Implements sgpp::datadriven::OperationDensitySampling1D.

References sgpp::op_factory::createOperationEval(), sgpp::base::HashGridStorage::getPoint(), sgpp::base::HashGridStorage::getSize(), sgpp::base::HashGridPoint::getStandardCoordinate(), sgpp::base::Grid::getStorage(), grid, python.statsfileInfo::i, python.utils.statsfile2gnuplot::j, and analyse_erg::tmp.

Member Data Documentation

grid

base::Grid* sgpp::datadriven::OperationDensitySampling1DLinear::grid

protected

Referenced by python.uq.learner.Interpolant.Interpolant::doLearningIteration(), doSampling1D(), 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(), OperationDensitySampling1DLinear(), 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/OperationDensitySampling1DLinear.hpp
• datadriven/src/sgpp/datadriven/operation/hash/simple/OperationDensitySampling1DLinear.cpp