SurpriseModelGG Class Reference

A joint Gamma/Gaussian SurpriseModel. More...

#include <Surprise/SurpriseModel.H>

Inheritance diagram for SurpriseModelGG:

[legend]

Collaboration diagram for SurpriseModelGG:

[legend]

List of all members.

Public Member Functions
	SurpriseModelGG (const double updatefac=0.5, const double sampleval=0.0, const double samplevar=1.0)
	Constructor. See base class for details.
virtual	~SurpriseModelGG ()
	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 SurpriseModelGG &other)
	Compute surprise between us and another model.
virtual void	preComputeHyperParams (const SurpriseModelGG &sample)
	Is empty in this model.
virtual void	combineFrom (const Image< SurpriseModelGG > &models, const Image< float > &weights)
	Initialize us as a weighted combination of the given map of models.
virtual void	combineFrom (const Image< SurpriseModelGG > &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
virtual void	setBias (const double slfac, const double ssfac, const SU_KL_BIAS klbias)
	Set up biases if needed for KL.
double	getAlpha () const
	get our alpha
double	getBeta () const
	get out beta
Protected Attributes
bool	itsCombineFromRun
	Make sure we run combineFrom each iter.
int	itsN
	our sample N
SU_KL_BIAS	itsJointKLBiasType
	enum for kl bias type
double	itsAlpha
	our current Gamma alpha (time)
double	itsBeta
	our current Gamma beta (time)
double	itsMean
	our current Gauss mean (space)
double	itsVar
	our current Gauss variance (space)
double	itsSig
	our current sigma (space)
double	itsSum
	Holds the sum from combineFrom.
double	itsSS
	Holds the sum of squares from combineFrom.
double	itsWeightSum
	Holds the weight sum from combineFrom.
double	itsSLfac
	Temporal bias to apply if needed.
double	itsSSfac
	Spatial bias to apply if needed.

Detailed Description

A joint Gamma/Gaussian SurpriseModel.

This is a very simple SurpriseModel consisting of a single Gamma prior over Poisson (time), which is updated in a sliding-average manner. space is updated as a gaussian and the two are combined as a joint KL to compute surprise

Definition at line 559 of file SurpriseModel.H.

Constructor & Destructor Documentation

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

Constructor. See base class for details.

Definition at line 981 of file SurpriseModel.C.

SurpriseModelGG::~SurpriseModelGG ( ) [virtual]

Virtual destructor ensures proper destruction of derived classes.

Definition at line 996 of file SurpriseModel.C.

Member Function Documentation

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