Bayes Class Reference

Collaboration diagram for Bayes:

Classes
struct	ClassInfo
Public Member Functions
	Bayes (uint numFeatures, uint numClasses)
	~Bayes ()
	Destructor.
void	learn (const std::vector< double > &fv, const uint cls)
	Learn to associate a feature vector with a particuler class.
void	learn (const std::vector< double > &fv, const char *name)
	Learn to associate a feature vector with a particuler class name.
int	classify (const std::vector< double > &fv, double *prob=NULL)
	classify a given feature vector
std::vector< ClassInfo >	classifyRange (std::vector< double > &fv, int &retCls, const bool sort=true)
	classify a given feature vector (Return all classes and thier prob, cls contains the max)
std::vector< double >	getClassProb (const std::vector< double > &fv)
	Return the probability of all the classes given the feature vector.
double	getMean (const uint cls, const uint i) const
	Get the mean for a particuler feature.
double	getStdevSq (const uint cls, const uint i) const
	Get the stdev Squared for a particuler feature.
void	setMean (const uint cls, const uint i, const double val)
	set the mean
void	setStdevSq (const uint cls, const uint i, const double val)
	set the stdev Squared for a particuler feature
uint	getNumFeatures () const
	Get the number of features.
uint	getNumClasses () const
	Get the number of classes.
uint	getClassFreq (const uint cls) const
	Get the Freq of a given class.
double	getClassProb (const uint cls) const
	Get the probability of a given class.
double	getStatSig (const std::vector< double > &fv, const uint cls) const
	return the statistical significent of the FV for a given class
double	gauss (const double x, const double mean, const double stdevSq) const
	Calculate a Normal Dist (use the srdev squared.
void	save (const char *filename)
	Save the network to a file.
bool	load (const char *filename)
	Load the network from a binary file.
void	import (const char *filename)
	Load the network from a text file.
void	setFeatureName (uint index, const char *name)
	set feature name (for debuging)
const char *	getFeatureName (const uint index) const
	get feature name (for debuging)
int	addClass (const char *name)
	Add class by name and return its Id.
const char *	getClassName (const uint id)
	Get the class name from a given Id.
int	getClassId (const char *name)
	Get the class id from a given name.
double	getMaxProb () const
	get the probability value associated with a classification
double	getNormProb () const
	get the normalized probability value associated with a classification

Detailed Description

Definition at line 46 of file Bayes.H.

Constructor & Destructor Documentation

Bayes::Bayes	(	uint	numFeatures,
		uint	numClasses
	)

Construct a bayes classifer with a given number of features and number of classes

Definition at line 59 of file Bayes.C.

Bayes::~Bayes ( )

Destructor.

Definition at line 71 of file Bayes.C.

Member Function Documentation

int Bayes::addClass ( const char * name )

Add class by name and return its Id.

Definition at line 561 of file Bayes.C.

References getClassId().

Referenced by learn().

int Bayes::classify	(	const std::vector< double > &	fv,
		double *	prob = `NULL`
	)

classify a given feature vector

Definition at line 251 of file Bayes.C.

References exp(), gauss(), log(), and max().

Referenced by SceneUnderstanding::classifyFovea().

std::vector< Bayes::ClassInfo > Bayes::classifyRange	(	std::vector< double > &	fv,
		int &	retCls,
		const bool	sort = `true`
	)

classify a given feature vector (Return all classes and thier prob, cls contains the max)

Definition at line 300 of file Bayes.C.

References exp(), gauss(), getStatSig(), log(), and max().

double Bayes::gauss	(	const double	x,
		const double	mean,
		const double	stdevSq
	)			const `[inline]`

Calculate a Normal Dist (use the srdev squared.

Definition at line 396 of file Bayes.C.

References exp(), and sqrt().

Referenced by classify(), classifyRange(), and getClassProb().

uint Bayes::getClassFreq ( const uint cls ) const

Get the Freq of a given class.

Definition at line 230 of file Bayes.C.

References ASSERT.

int Bayes::getClassId ( const char * name )

Get the class id from a given name.

Definition at line 589 of file Bayes.C.

Referenced by addClass(), SceneUnderstanding::biasFor(), and learn().

const char * Bayes::getClassName ( const uint id )

Get the class name from a given Id.

Definition at line 581 of file Bayes.C.

References ASSERT.

Referenced by SceneUnderstanding::highOrderRec().

double Bayes::getClassProb ( const uint cls ) const

Get the probability of a given class.

Definition at line 237 of file Bayes.C.

References ASSERT.

std::vector< double > Bayes::getClassProb ( const std::vector< double > & fv )

Return the probability of all the classes given the feature vector.

Definition at line 343 of file Bayes.C.

References gauss(), and log().

const char * Bayes::getFeatureName ( const uint index ) const

get feature name (for debuging)

Definition at line 554 of file Bayes.C.

References ASSERT.

double Bayes::getMaxProb ( ) const

get the probability value associated with a classification

Definition at line 603 of file Bayes.C.

double Bayes::getMean	(	const uint	cls,
		const uint	i
	)			const

Get the mean for a particuler feature.

Definition at line 189 of file Bayes.C.

References ASSERT.

Referenced by cMapLeftBiasProc().

double Bayes::getNormProb ( ) const

get the normalized probability value associated with a classification

Definition at line 607 of file Bayes.C.

uint Bayes::getNumClasses ( ) const

Get the number of classes.

Definition at line 224 of file Bayes.C.

uint Bayes::getNumFeatures ( ) const

Get the number of features.

Definition at line 218 of file Bayes.C.

double Bayes::getStatSig	(	const std::vector< double > &	fv,
		const uint	cls
	)			const

return the statistical significent of the FV for a given class

Definition at line 373 of file Bayes.C.

References ASSERT, and log().

Referenced by classifyRange().

double Bayes::getStdevSq	(	const uint	cls,
		const uint	i
	)			const

Get the stdev Squared for a particuler feature.

Definition at line 196 of file Bayes.C.

References ASSERT.

Referenced by cMapLeftBiasProc().

void Bayes::import ( const char * filename )

Load the network from a text file.

Definition at line 499 of file Bayes.C.

References mean().

void Bayes::learn	(	const std::vector< double > &	fv,
		const char *	name
	)

Learn to associate a feature vector with a particuler class name.

Definition at line 101 of file Bayes.C.

References addClass(), ASSERT, and getClassId().

void Bayes::learn	(	const std::vector< double > &	fv,
		const uint	cls
	)

Learn to associate a feature vector with a particuler class.

Definition at line 75 of file Bayes.C.

References ASSERT.

Referenced by SceneUnderstanding::learn().

bool Bayes::load ( const char * filename )

Load the network from a binary file.

Definition at line 444 of file Bayes.C.

void Bayes::save ( const char * filename )

Save the network to a file.

Definition at line 403 of file Bayes.C.

void Bayes::setFeatureName	(	uint	index,
		const char *	name
	)

set feature name (for debuging)

Definition at line 547 of file Bayes.C.

References ASSERT.

void Bayes::setMean	(	const uint	cls,
		const uint	i,
		const double	val
	)

set the mean

Definition at line 203 of file Bayes.C.

References ASSERT.

void Bayes::setStdevSq	(	const uint	cls,
		const uint	i,
		const double	val
	)

set the stdev Squared for a particuler feature

Definition at line 211 of file Bayes.C.

References ASSERT.

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

src/Learn/Bayes.H
src/Learn/Bayes.C

Bayes Class Reference

Classes

Public Member Functions

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation