SurpriseModelOD Class Reference

A single-Poisson Outlier-based model. More...

#include <Surprise/SurpriseModel.H>

Inheritance diagram for SurpriseModelOD:

[legend]

Collaboration diagram for SurpriseModelOD:

[legend]

List of all members.

Public Member Functions
	SurpriseModelOD (const double updatefac=0.5, const double sampleval=0.0, const double samplevar=1.0)
	Constructor. See base class for details.
virtual	~SurpriseModelOD ()
	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 SurpriseModelOD &other)
	Compute surprise between us and another model.
virtual void	preComputeHyperParams (const SurpriseModelOD &sample)
	Is empty in this model.
virtual void	combineFrom (const Image< SurpriseModelOD > &models, const Image< float > &weights)
	Initialize us as a weighted combination of the given map of models.
virtual void	combineFrom (const Image< SurpriseModelOD > &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	itsLambda
	our current Poisson lambda

---

Detailed Description

A single-Poisson Outlier-based model.

This is not really a true SurpriseModel, but rather an information model based on outlier detection using a single adaptive Poisson model.

Definition at line 705 of file SurpriseModel.H.

---

Constructor & Destructor Documentation

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

Constructor. See base class for details.

Definition at line 1371 of file SurpriseModel.C.

SurpriseModelOD::~SurpriseModelOD

(

)

[virtual]

Virtual destructor ensures proper destruction of derived classes.

Definition at line 1380 of file SurpriseModel.C.

---

Member Function Documentation

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

Initialize us as a weighted combination of the given map of models.

Definition at line 1445 of file SurpriseModel.C.

References ASSERT, Image< T >::begin(), Image< T >::coordsOk(), Image< T >::getHeight(), Image< T >::getWidth(), Point2D< T >::i, and itsLambda.

void SurpriseModelOD::combineFrom	(	const Image< SurpriseModelOD > &	models,
		const Image< float > &	weights
	)			[inline, virtual]

Initialize us as a weighted combination of the given map of models.

Definition at line 1424 of file SurpriseModel.C.

References ASSERT, Image< T >::begin(), Image< T >::end(), Image< T >::isSameSize(), and itsLambda.

double SurpriseModelOD::getMean

(

)

const [inline, virtual]

get our mean

Implements SurpriseModel.

Definition at line 1482 of file SurpriseModel.C.

References itsLambda.

double SurpriseModelOD::getUpdateFac

(

)

const [inline, virtual]

get our UpdateFac

Implements SurpriseModel.

Definition at line 1490 of file SurpriseModel.C.

References SurpriseModel::itsUpdateFac.

double SurpriseModelOD::getVar

(

)

const [inline, virtual]

get our variance

Implements SurpriseModel.

Definition at line 1486 of file SurpriseModel.C.

References itsLambda.

void SurpriseModelOD::init	(	const double	updatefac = 0.5,
		const double	sampleval = 0.0,
		const double	samplevar = 1.0
	)			[inline, virtual]

Change intial state parameters.

Reimplemented from SurpriseModel.

Definition at line 1388 of file SurpriseModel.C.

References load().

void SurpriseModelOD::load	(	const double	sampleval,
		const double	samplevar = 1.0
	)			[inline, virtual]

Load given sample mean and variance.

Implements SurpriseModel.

Definition at line 1397 of file SurpriseModel.C.

References itsLambda.

Referenced by init(), and reset().

void SurpriseModelOD::preComputeHyperParams

(

const SurpriseModelOD &

sample

)

[inline, virtual]

Is empty in this model.

Definition at line 1420 of file SurpriseModel.C.

void SurpriseModelOD::reset

(

void

)

[inline, virtual]

Reset to initial state.

Implements SurpriseModel.

Definition at line 1384 of file SurpriseModel.C.

References SurpriseModel::itsInitialVal, SurpriseModel::itsInitialVar, and load().

double SurpriseModelOD::surprise

(

const SurpriseModelOD &

other

)

[inline, virtual]

Compute surprise between us and another model.

Definition at line 1404 of file SurpriseModel.C.

References itsLambda, SurpriseModel::itsUpdateFac, and poisson().

---

Member Data Documentation

double SurpriseModelOD::itsLambda [protected]

our current Poisson lambda

Definition at line 752 of file SurpriseModel.H.

Referenced by combineFrom(), getMean(), getVar(), load(), and surprise().

int SurpriseModelOD::itsN [protected]

our sample N

Definition at line 751 of file SurpriseModel.H.

---

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

• src/Surprise/SurpriseModel.H
• src/Surprise/SurpriseModel.C