KernelDensityEstimator.hpp File Reference

#include <sgpp/base/datatypes/DataVector.hpp>
#include <sgpp/base/datatypes/DataMatrix.hpp>
#include <sgpp/base/function/scalar/ScalarFunction.hpp>
#include <sgpp/datadriven/application/DensityEstimator.hpp>
#include <sgpp/globaldef.hpp>
#include <vector>
#include <random>

Classes
class	sgpp::datadriven::EpanechnikovKernel
class	sgpp::datadriven::GaussianKernel
class	sgpp::datadriven::KDEMaximumLikelihoodCrossValidation
class	sgpp::datadriven::Kernel
class	sgpp::datadriven::KernelDensityEstimator
class	sgpp::datadriven::MaximumLikelihoodCrossValidation
class	sgpp::datadriven::RuleOfThumb
class	sgpp::datadriven::ScottsRule
class	sgpp::datadriven::SilvermansRule

Namespaces
namespace	sgpp
	Class that stores, generates and manipulates a density function during online phase in on/off learning.
namespace	sgpp::datadriven

Macros
#define	M_SQRT2PI   2.506628274631000241612355239340 /* sqrt(2*pi) */

Enumerations
enum class	sgpp::datadriven::BandwidthOptimizationType { sgpp::datadriven::NONE , sgpp::datadriven::SILVERMANSRULE , sgpp::datadriven::SCOTTSRULE , sgpp::datadriven::MAXIMUMLIKELIHOOD }
enum class	sgpp::datadriven::KernelType { sgpp::datadriven::GAUSSIAN , sgpp::datadriven::EPANECHNIKOV }

Macro Definition Documentation

M_SQRT2PI

#define M_SQRT2PI   2.506628274631000241612355239340 /* sqrt(2*pi) */