#include <LocalQuantileRegression.hh>

Inheritance diagram for npstat::QuantileRegressionOnHisto< Numeric >:

Public Member Functions
	QuantileRegressionOnHisto (const HistoND< Numeric > &histo, const QuadraticOrthoPolyND &poly, double quantile)

const HistoND< Numeric > &	getHisto () const

virtual void	clear ()

virtual double	result ()

virtual void	process (const unsigned *index, unsigned indexLen, unsigned long linearIndex, const Numeric &value)

Public Member Functions inherited from npstat::QuantileRegressionBase< double >
	QuantileRegressionBase (const QuadraticOrthoPolyND &poly, double quantile)

unsigned	dim () const

double	quantile () const

const QuadraticOrthoPolyND &	getPoly () const

const std::vector< double > &	lastCoeffs () const

void	setRegressionBox (const BoxND< double > &box)

void	setLinearMapping (const double location, const double scale, unsigned locationAndScaleArraySize)

void	empiricalC0 (double c0, double c0Uncertainty, double *npoints)

double	linearLoss (const double *coeffs, unsigned nCoeffs)

Protected Attributes
const HistoAxis &	lastAxis_

const double	halfbin_

const Numeric	zero_

const HistoND< Numeric > &	histo_

BoxND< int >	binBox_

Protected Attributes inherited from npstat::QuantileRegressionBase< double >
const QuadraticOrthoPolyND &	poly_

BoxND< double >	regressionBox_

std::vector< double >	location_

std::vector< double >	scale_

std::vector< double >	coords_

std::vector< double >	coeffs_

long double	loss_

const double	quantile_

const double	onemq_

const unsigned	mydim_

Additional Inherited Members
Protected Member Functions inherited from npstat::QuantileRegressionBase< double >
void	resetAccumulators ()

Detailed Description

template<typename Numeric>
class npstat::QuantileRegressionOnHisto< Numeric >

Quantile regression on histograms

Constructor & Destructor Documentation

◆ QuantileRegressionOnHisto()

template<typename Numeric >

npstat::QuantileRegressionOnHisto< Numeric >::QuantileRegressionOnHisto	(	const HistoND< Numeric > &	histo,
		const QuadraticOrthoPolyND &	poly,
		double	quantile
	)

Constructor arguments are as follows:

histo – Histogrammed data. It is assumed that the histogram is filled with actual event counts and that the quantity which is being regressed is used for the last histogram axis. The dimensionality of the histogram therefore must be larger by 1 than the dimensionality of the QuadraticOrthoPolyND object. Histogram overflow bins will be ignored.

poly – the set of orthogonal polynomial used to construct the local regression surface.

quantile – The quantile to determine (between 0.0 and 1.0).

This object will not own "histo" or "poly" objects. These objects must still exist when this QuantileRegressionOnHisto object is in use.

Member Function Documentation

◆ clear()

template<typename Numeric >

virtual void npstat::QuantileRegressionOnHisto< Numeric >::clear ( )

inlinevirtual

Method from AbsArrayProjector we have to implement

Implements npstat::AbsArrayProjector< Numeric, double >.

◆ getHisto()

template<typename Numeric >

const HistoND<Numeric>& npstat::QuantileRegressionOnHisto< Numeric >::getHisto ( ) const

inline

Examine the data

◆ process()

template<typename Numeric >

virtual void npstat::QuantileRegressionOnHisto< Numeric >::process	(	const unsigned *	index,
		unsigned	indexLen,
		unsigned long	linearIndex,
		const Numeric &	value
	)