LogLikelihoodClassifier Class Reference

Collaboration diagram for LogLikelihoodClassifier:

[legend]

List of all members.

Public Types
typedef std::map< int, std::vector< std::vector < float > > >	MapModelVector
Public Member Functions
	LogLikelihoodClassifier (int k=5)
float	calcLogLikelihood (const std::vector< float > &sample, const std::vector< float > &model)
	Calculate log likelihood probability for this sample and model.
void	addModel (std::vector< float > hist, int id)
	Add a model exemplar for this id (ok to have multiple exemplars per class).
void	setModels (MapModelVector models)
	Set the models that will be used for this classifier.
MapModelVector	getModels ()
	Return the models that were used for this classifier.
int	predict (const std::vector< float > &hist)
	Predict using classifier.
std::map< int, double >	predictPDF (const std::vector< float > &hist)
	Predict using classifier and return the full PDF across classes.
void	nearestNeighborVotePDF (const std::map< int, std::list< float > > &logLikelihood, std::map< int, double > &pdf)
	Perform k-nearest neighbor vote that does a short circuited calculation using the best likelihoods to calculate the full PDF.
uint	getNumModels ()
	Get number of models.
Protected Attributes
MapModelVector	itsModels
	Store a list of model histograms for each model id.
uint	itsHistLength
uint	itsK

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Detailed Description

Definition at line 46 of file LogLikelihoodClassifier.H.

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Member Function Documentation

void LogLikelihoodClassifier::addModel	(	std::vector< float >	hist,
		int	id
	)

Add a model exemplar for this id (ok to have multiple exemplars per class).

Definition at line 70 of file LogLikelihoodClassifier.C.

References ASSERT, and itsModels.

float LogLikelihoodClassifier::calcLogLikelihood	(	const std::vector< float > &	sample,
		const std::vector< float > &	model
	)

Calculate log likelihood probability for this sample and model.

Definition at line 56 of file LogLikelihoodClassifier.C.

References ASSERT, and log().

Referenced by predictPDF().

LogLikelihoodClassifier::MapModelVector LogLikelihoodClassifier::getModels

(

)

Return the models that were used for this classifier.

Definition at line 86 of file LogLikelihoodClassifier.C.

References itsModels.

uint LogLikelihoodClassifier::getNumModels

(

)

Get number of models.

Definition at line 227 of file LogLikelihoodClassifier.C.

References itsModels.

void LogLikelihoodClassifier::nearestNeighborVotePDF	(	const std::map< int, std::list< float > > &	logLikelihood,
		std::map< int, double > &	pdf
	)

Perform k-nearest neighbor vote that does a short circuited calculation using the best likelihoods to calculate the full PDF.

Definition at line 191 of file LogLikelihoodClassifier.C.

References ASSERT, and max().

Referenced by predictPDF().

int LogLikelihoodClassifier::predict

(

const std::vector< float > &

hist

)

Predict using classifier.

Definition at line 92 of file LogLikelihoodClassifier.C.

References max(), and predictPDF().

std::map< int, double > LogLikelihoodClassifier::predictPDF

(

const std::vector< float > &

hist

)

Predict using classifier and return the full PDF across classes.

Definition at line 110 of file LogLikelihoodClassifier.C.

References ASSERT, calcLogLikelihood(), itsModels, max(), and nearestNeighborVotePDF().

Referenced by predict().

void LogLikelihoodClassifier::setModels

(

MapModelVector

models

)

Set the models that will be used for this classifier.

Definition at line 81 of file LogLikelihoodClassifier.C.

References itsModels.

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Member Data Documentation

MapModelVector LogLikelihoodClassifier::itsModels [protected]

Store a list of model histograms for each model id.

Definition at line 81 of file LogLikelihoodClassifier.H.

Referenced by addModel(), getModels(), getNumModels(), predictPDF(), and setModels().

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

• src/Learn/LogLikelihoodClassifier.H
• src/Learn/LogLikelihoodClassifier.C