npstat::VariableBandwidthSmoother1D Class Reference

Inheritance diagram for npstat::VariableBandwidthSmoother1D:

Public Member Functions
	VariableBandwidthSmoother1D (unsigned nbins, double xmin, double xmax, int symbetaPower, double bwFactor=1.0, const char *label=0)
int	symbetaPower () const
double	bwFactor () const
Public Member Functions inherited from npstat::AbsMarginalSmootherBase
	AbsMarginalSmootherBase (unsigned nbins, double xmin, double xmax, const char *axisLabel=0)
void	setAxisLabel (const char *axisLabel)
unsigned	nBins () const
double	xMin () const
double	xMax () const
double	binWidth () const
const std::string &	getAxisLabel () const
gs::AbsArchive *	getArchive () const
const std::string &	getArchiveCategory () const
double	lastBandwidth () const
void	setArchive (gs::AbsArchive *ar, const char *category=0)
void	unsetArchive ()
template<typename Numeric >
const HistoND< double > &	smooth (const std::vector< Numeric > &inputPoints, double minValue=-std::numeric_limits< double >::max(), double maxValue=std::numeric_limits< double >::max(), double *bandwidthUsed=0)
template<typename Numeric >
const HistoND< double > &	smooth (unsigned long uniqueId, unsigned dimNumber, const std::vector< Numeric > &inputPoints, double minValue=-std::numeric_limits< double >::max(), double maxValue=std::numeric_limits< double >::max(), double *bandwidthUsed=0)
template<typename Numeric >
const HistoND< double > &	weightedSmooth (const std::vector< std::pair< Numeric, double > > &inputPoints, double minValue=-std::numeric_limits< double >::max(), double maxValue=std::numeric_limits< double >::max(), double *bandwidthUsed=0)
template<typename Numeric >
const HistoND< double > &	weightedSmooth (unsigned long uniqueId, unsigned multivariatePointDimNumber, const std::vector< std::pair< Numeric, double > > &inputPoints, double minValue=-std::numeric_limits< double >::max(), double maxValue=std::numeric_limits< double >::max(), double *bandwidthUsed=0)

Constructor & Destructor Documentation

VariableBandwidthSmoother1D()

npstat::VariableBandwidthSmoother1D::VariableBandwidthSmoother1D	(	unsigned	nbins,
		double	xmin,
		double	xmax,
		int	symbetaPower,
		double	bwFactor = 1.0,
		const char *	label = 0
	)

Constructor arguments are as follows:

nbins, xmin, xmax – Parameters for the histogram which will be accumulated using the data sample to be smoothed. nbins should preferrably be a power of 2 (for subsequent FFT).

symbetaPower – Power of the symmetric beta kernel to use. Gaussian kernel chopped of at 12 sigma will be used in case this parameter is negative. This parameter must not exceed 10.

bwFactor – Fudge factor for the bandwidth used for the density estimate.

label – Label for the axis. Useful in case smoothing results are stored for inspection.

Member Function Documentation

symbetaPower()

int npstat::VariableBandwidthSmoother1D::symbetaPower ( ) const

inline

Simple inspector of object properties

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

• stat/VariableBandwidthSmoother1D.hh