SurpriseModelSP1 Class Reference

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

#include <Surprise/SurpriseModel.H>

Inheritance diagram for SurpriseModelSP1:

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Collaboration diagram for SurpriseModelSP1:

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List of all members.

Public Member Functions
	SurpriseModelSP1 (const double updatefac=0.5, const double sampleval=0.0, const double samplevar=1.0)
	Constructor. See base class for details.
virtual	~SurpriseModelSP1 ()
	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 SurpriseModelSP1 &other)
	Compute surprise between us and another model.
virtual void	preComputeHyperParams (const SurpriseModelSP1 &sample)
	Is empty in this model.
virtual void	combineFrom (const Image< SurpriseModelSP1 > &models, const Image< float > &weights)
	Initialize us as a weighted combination of the given map of models.
virtual void	combineFrom (const Image< SurpriseModelSP1 > &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
double	getAlpha () const
	get our alpha
double	getBeta () const
	get out beta
void	preSetAlpha ()
	Pre set model alpha values.
Protected Attributes
int	itsN
	our sample N
double	itsAlpha
	our current Gamma alpha
double	itsBeta
	our current Gamma beta

Detailed Description

A single-Poisson/Gamma SurpriseModel.

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

In this implementation surprise is calculated before the alpha and beta parameters decay so that there is no baseline surprise when the prior and posterior are the same.

Definition at line 283 of file SurpriseModel.H.

Constructor & Destructor Documentation

SurpriseModelSP1::SurpriseModelSP1	(	const double	updatefac = `0.5`,
		const double	sampleval = `0.0`,
		const double	samplevar = `1.0`
	)

Constructor. See base class for details.

Definition at line 428 of file SurpriseModel.C.

SurpriseModelSP1::~SurpriseModelSP1 ( ) [virtual]

Virtual destructor ensures proper destruction of derived classes.

Definition at line 438 of file SurpriseModel.C.

Member Function Documentation

void SurpriseModelSP1::combineFrom	(	const Image< SurpriseModelSP1 > &	models,
		const Image< float > &	weights,
		const Point2D< int > &	pos,
		const int	width,
		const int	height,
		const int	offset
	)			`[inline, virtual]`