sgpp::datadriven::DatasetGenerator Class Reference

#include <DatasetGenerator.hpp>

Inheritance diagram for sgpp::datadriven::DatasetGenerator:

Public Member Functions
virtual void	createData (size_t offset, size_t size, base::DataMatrix &trainingData, base::DataVector &classes)=0
virtual size_t	getDims ()=0
virtual double	normal (double mean, double stddev)
	generate normally distributed random variable see http://de.wikipedia.org/wiki/Box-Muller-Methode uses rand(), make sure to call srand yourself
virtual double	uniform (double a, double b)
virtual	~DatasetGenerator ()

Constructor & Destructor Documentation

~DatasetGenerator()

sgpp::datadriven::DatasetGenerator::~DatasetGenerator ( )

virtual

Member Function Documentation

createData()

virtual void sgpp::datadriven::DatasetGenerator::createData ( size_t  offset, size_t  size, base::DataMatrix &  trainingData, base::DataVector &  classes  )

pure virtual

Implemented in sgpp::datadriven::Friedman1Generator, sgpp::datadriven::Friedman2Generator, and sgpp::datadriven::Friedman3Generator.

getDims()

virtual size_t sgpp::datadriven::DatasetGenerator::getDims ( )

pure virtual

Implemented in sgpp::datadriven::Friedman1Generator, sgpp::datadriven::Friedman2Generator, and sgpp::datadriven::Friedman3Generator.

normal()

double sgpp::datadriven::DatasetGenerator::normal ( double  mean, double  stddev  )

virtual

generate normally distributed random variable see http://de.wikipedia.org/wiki/Box-Muller-Methode uses rand(), make sure to call srand yourself

Parameters

mean	mean of distribution
stddev	std deviation of distribution

Returns

normally distributed random var

References M_PI.

Referenced by python.uq.dists.NatafDist.NatafDist::cdf(), sgpp::datadriven::Friedman1Generator::createData(), sgpp::datadriven::Friedman2Generator::createData(), sgpp::datadriven::Friedman3Generator::createData(), python.uq.dists.NatafDist.NatafDist::ppf(), python.uq.operations.natafTransformation.NatafTransformation::trans_U_to_Z(), python.uq.operations.natafTransformation.NatafTransformation::trans_X_to_Z(), python.uq.operations.natafTransformation.NatafTransformation::trans_Z_to_U(), and python.uq.operations.natafTransformation.NatafTransformation::trans_Z_to_X().

uniform()

double sgpp::datadriven::DatasetGenerator::uniform ( double  a, double  b  )

virtual

Referenced by sgpp::datadriven::Friedman1Generator::createData(), sgpp::datadriven::Friedman2Generator::createData(), and sgpp::datadriven::Friedman3Generator::createData().

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

• datadriven/src/sgpp/datadriven/tools/DatasetGenerator.hpp
• datadriven/src/sgpp/datadriven/tools/DatasetGenerator.cpp