Inheritance diagram for npstat::LOrPE1DCVFunctorHelper< Numeric, BwFcn, WFcn >:

Public Types
typedef Numeric	point_type

Public Types inherited from npstat::Functor1< double, double >
typedef double	result_type

typedef double	first_argument_type

Public Types inherited from npstat::Functor2< double, double, double >
typedef double	result_type

typedef double	first_argument_type

typedef double	second_argument_type

Public Member Functions
	LOrPE1DCVFunctorHelper (const int i_symbetaPower, const double i_leftBoundary, const double i_rightBoundary, const BoundaryHandling &i_bh, const BwFcn &i_bandwidthFunctor, const WFcn &i_localizingWeight, const double i_localizingWeightXmin, const double i_localizingWeightXmax, const unsigned i_nIntegIntervals, const unsigned i_nIntegPoints, const bool i_normalizeLOrPEEstimate, const std::vector< Numeric > &i_coords)

void	bindFilterDegree (const double deg)

void	unbindFilterDegree ()

double	boundFilterDegree () const

virtual void	setWeights (const double *weights, unsigned long nWeights)

int	symbetaPower () const

double	leftBoundary () const

double	rightBoundary () const

BoundaryHandling	bh () const

double	localizingWeightXmin () const

double	localizingWeighXmax () const

unsigned	nIntegIntervals () const

unsigned	nIntegPoints () const

bool	normalizingLOrPEEstimate () const

const std::vector< Numeric > &	coords () const

unsigned long	nCoords () const

Numeric	minCoordinate () const

Numeric	maxCoordinate () const

double	totalSampleWeight () const

double	effectiveSampleSize () const

bool	isMemoizingKernels () const

bool	isMemoizingNorms () const

bool	isUsingMemoisingKernels () const

void	memoizeKernels (const bool b)

void	memoizeNorms (const bool b)

void	useMemoisingKernels (const bool b)

void	clearMemoizedInfo ()

void	clearKernel ()

double	pointCoordinate (const unsigned long i) const

double	pointWeight (const unsigned long i) const

double	bandwidthCurve (const double x) const

double	cvLocalizingWeight (const double x) const

LOrPE1DCVLocalizingWeightFunctor< LOrPE1DCVFunctorHelper< Numeric, BwFcn, WFcn > >	cvLocalizingWeightFunctor () const

double	density (const double x, const double filterDegree, const double bwFactor) const

double	density (const double x, const double bwFactor) const

LOrPE1DCVDensityFunctor< LOrPE1DCVFunctorHelper< Numeric, BwFcn, WFcn > >	densityFunctor (const double filterDegree, const double bwFactor) const

LOrPE1DCVDensityFunctor< LOrPE1DCVFunctorHelper< Numeric, BwFcn, WFcn > >	densityFunctor (const double bwFactor) const

LOrPE1D< Numeric >	getLOrPE1D (const double filterDegree, const double bwFactor) const

LOrPE1D< Numeric >	getLOrPE1D (const double bwFactor) const

double	operator() (const double &filterDegree, const double &bwFactor) const

double	operator() (const double &bwFactor) const

double	densityIntegral (const double filterDegree, const double bwFactor) const

double	densityIntegral (const double bwFactor) const

double	integratedSquaredError (const AbsDistribution1D &distro, const double filterDegree, const double bwFactor) const

double	integratedSquaredError (const AbsDistribution1D &distro, const double bwFactor) const

Static Public Member Functions
static bool	cvCapable ()

Protected Types
typedef MultFunctor< BwFcn >	BwFunctor

typedef std::map< std::pair< double, double >, double >	MapOfNorms

typedef std::map< double, std::shared_ptr< LOrPE1DSymbetaKernel > >	MapOfKernels

Protected Member Functions
virtual double	pointContribution (double selfC, double leaveOneOutEstimate, double pointWeight, double localWeight) const =0

virtual double	valueToMaximize (double sum) const =0

LOrPE1DFunctorHelper< Numeric, BwFunctor >	bwDensityFunctor (const double bwFactor) const

Protected Attributes
std::vector< Numeric >	coords_

double	sampleWeight_

double	effSampleSize_

std::shared_ptr< LOrPE1DSymbetaKernel >	kernel_

double	lastBwFactor_

double	lastNorm_

double	boundFilterDegree_

int	symbetaPower_

double	leftBoundary_

double	rightBoundary_

BoundaryHandling	bh_

BwFcn	bandwidthFunctor_

WFcn	localizingWeight_

double	xminForWeight_

double	xmaxForWeight_

unsigned	nIntegIntervals_

unsigned	nIntegPoints_

bool	normalize_

bool	memoizeKernels_

bool	memoizeNorms_

bool	useMemoisingKernels_

MapOfNorms	mapOfNorms_

MapOfKernels	mapOfKernels_

Member Function Documentation

◆ cvCapable()

template<typename Numeric , class BwFcn , class WFcn >

static bool npstat::LOrPE1DCVFunctorHelper< Numeric, BwFcn, WFcn >::cvCapable ( )

inlinestatic

Is this class capable of cross-validation?

◆ densityIntegral()

template<typename Numeric , class BwFcn , class WFcn >

double npstat::LOrPE1DCVFunctorHelper< Numeric, BwFcn, WFcn >::densityIntegral	(	const double	filterDegree,
		const double	bwFactor
	)		const

inline

This method will return meaningful results only if the automatic normalization is not turned on

◆ normalizingLOrPEEstimate()

template<typename Numeric , class BwFcn , class WFcn >

bool npstat::LOrPE1DCVFunctorHelper< Numeric, BwFcn, WFcn >::normalizingLOrPEEstimate ( ) const

inline

Is the density estimate auto-normalizing?

◆ setWeights()

template<typename Numeric , class BwFcn , class WFcn >

virtual void npstat::LOrPE1DCVFunctorHelper< Numeric, BwFcn, WFcn >::setWeights	(	const double *	weights,
		unsigned long	nWeights
	)

inlinevirtual

This method with throw std::runtime_error if Numeric is not an std::pair

Reimplemented in npstat::LOrPE1DRLCVFunctorHelper< Numeric, BwFcn, WFcn >.

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

stat/LOrPE1DCV.hh

Public Types

Public Member Functions

Static Public Member Functions

Protected Types

Protected Member Functions

Protected Attributes

Member Function Documentation

◆ cvCapable()

◆ densityIntegral()

◆ normalizingLOrPEEstimate()

◆ setWeights()