SurpriseModelPM Class Reference

A single-Poisson/Gamma SurpriseModel with inertia. More...

#include <Surprise/SurpriseModel.H>

Inheritance diagram for SurpriseModelPM:

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Collaboration diagram for SurpriseModelPM:

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List of all members.

Public Member Functions
	SurpriseModelPM (const double updatefac=0.5, const double sampleval=0.0, const double samplevar=1.0)
	Constructor. See base class for details.
virtual	~SurpriseModelPM ()
	Virtual destructor ensures proper destruction of derived classes.
virtual void	reset ()
	Reset to initial state.
virtual void	init (const double updatefac=0.5, const double sampleval=0.0, const double samplevar=1.0)
	Change intial state parameters.
virtual void	load (const double sampleval, const double samplevar=1.0)
	Load given sample mean and variance.
virtual double	surprise (const SurpriseModelPM &other)
	Compute surprise between us and another model.
virtual void	preComputeHyperParams (const SurpriseModelPM &sample)
	pre compute alpha and beta terms before calling combine from
virtual void	combineFrom (const Image< SurpriseModelPM > &models, const Image< float > &weights)
	Initialize us as a weighted combination of the given map of models.
virtual void	combineFrom (const Image< SurpriseModelPM > &models, const Image< float > &weights, const Point2D< int > &pos, const int width, const int height, const int offset)
	Initialize us as a weighted combination of the given map of models.
virtual double	getMean () const
	get our mean
virtual double	getVar () const
	get our variance
virtual double	getUpdateFac () const
	get our UpdateFac
Protected Attributes
int	itsN
	our sample N
double	itsSample
double	itsAlpha0
	our current Gamma alpha
double	itsAlpha1
	our current Gamma alpha
double	itsAlpha2
	our current Gamma alpha
double	itsBeta0
	our current Gamma beta
double	itsBeta1
	our current Gamma beta
double	itsBeta2
	our current Gamma beta
double	itsInitBeta
	Initial Value of beta.
double	itsExpectAlpha1
	The expected value of alpha1.
double	itsExpectAlpha2
	The expected value of alpha2.
double	itsXBar1
	The estimated value of alpha1.
double	itsXBar2
	The estimated value of alpha2.
double	itsLgamma1
	Computing lgamma is expensive, so we keep it.
double	itsLgamma2
	Computing lgamma is expensive, so we keep it.

Detailed Description

A single-Poisson/Gamma SurpriseModel with inertia.

This is a very simple SurpriseModel consisting of a single Gamma prior over Poisson, which is updated in a sliding-average manner.

Definition at line 636 of file SurpriseModel.H.

Constructor & Destructor Documentation

SurpriseModelPM::SurpriseModelPM	(	const double	updatefac = `0.5`,
		const double	sampleval = `0.0`,
		const double	samplevar = `1.0`
	)

Constructor. See base class for details.

Definition at line 1179 of file SurpriseModel.C.

References itsAlpha0, itsAlpha1, itsAlpha2, itsBeta0, itsBeta1, itsBeta2, itsExpectAlpha1, itsExpectAlpha2, itsInitBeta, itsXBar1, and itsXBar2.

SurpriseModelPM::~SurpriseModelPM ( ) [virtual]

Virtual destructor ensures proper destruction of derived classes.

Definition at line 1201 of file SurpriseModel.C.

Member Function Documentation

void SurpriseModelPM::combineFrom	(	const Image< SurpriseModelPM > &	models,
		const Image< float > &	weights,
		const Point2D< int > &	pos,
		const int	width,
		const int	height,
		const int	offset
	)			`[inline, virtual]`