sgpp::datadriven::Friedman3Generator Class Reference

#include <DatasetGenerator.hpp>

Inheritance diagram for sgpp::datadriven::Friedman3Generator:

Public Member Functions
virtual void	createData (size_t offset, size_t size, base::DataMatrix &trData, base::DataVector &classes)
virtual size_t	getDims ()
Public Member Functions inherited from sgpp::datadriven::DatasetGenerator
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 More...
virtual double	uniform (double a, double b)
virtual	~DatasetGenerator ()

Member Function Documentation

createData()

void sgpp::datadriven::Friedman3Generator::createData ( size_t  offset, size_t  size, base::DataMatrix &  trData, base::DataVector &  classes  )

virtual

Implements sgpp::datadriven::DatasetGenerator.

References sgpp::base::DataMatrix::get(), python.statsfileInfo::i, M_PI, sgpp::datadriven::DatasetGenerator::normal(), sgpp::base::DataMatrix::normalizeDimension(), sgpp::base::DataMatrix::resize(), sgpp::base::DataVector::set(), sgpp::base::DataMatrix::set(), analyse_erg::tmp, and sgpp::datadriven::DatasetGenerator::uniform().

getDims()

size_t sgpp::datadriven::Friedman3Generator::getDims ( )

virtual

Implements sgpp::datadriven::DatasetGenerator.

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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