Sous-élément adaptatif (classe abstraite). More...

#include <si/subadaptive/subAdaptive.h>

Inheritance diagram for sigraph::SubAdaptive:

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Collaboration diagram for sigraph::SubAdaptive:

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Classes
struct	Stat

Public Types
enum	RealClassMode { RealClassFromClassID , RealClassFromPotential }

enum	RelianceWeightMethod { MeanGenError , MisclassFrequency }

Public Member Functions
virtual	~SubAdaptive ()

virtual SubAdaptive &	operator= (const SubAdaptive &sa)

virtual SubAdaptive *	clone () const =0
	copie

Fonctions de base
virtual SubAdResponse *	train (AdaptiveLeaf &, const SiDBLearnable &tr, const SiDBLearnable &tst)=0
	Cumule phase d'apprentissage (learn) et phase de test si besoin.

virtual bool	hasIncrementalLearning (void) const =0
	Apprentissage incrémental (vecteur par vecteur) ?

virtual double	normalizedPotential (double outp) const

virtual double	unNormalizedPotential (double nout) const

virtual double	getLearnedLabel (const SiVectorLearnable &vl) const

virtual SubAdResponse *	test (const SiDBLearnable &tst)

virtual double	test (const SiVectorLearnable &vl)
	Test: met à jour le taux d'erreur de généralisation Renvoie la valeur prédite par le classifieur.

virtual double	prop (const std::vector< double > &vec)=0
	Propagation (model answer).

virtual void	init ()
	Initialise l'apprentissage (fonction abstraite)

virtual std::vector< double > *	normalizeSelected (const double *vec, unsigned int size)
	Normalise le vecteur d'entrée et ne retourne que les composantes sélectionnées dans le modèle.

virtual bool	openFile (const std::string &filename="")
	Ouvre un fichier pour écrire les vecteurs de données.

virtual void	closeFile ()
	Ferme le fichier.

virtual bool	fileOpened () const
	répond si le fichier est ouvert ou non

virtual std::string	chooseFilename (const std::string &basename="") const
	Choisit un nom de fichier par défaut.

virtual void	subFiles (const std::string &prefix, std::set< std::string > &listNames) const
	Donne la liste des fichiers sous le modèle.

void	setRealClassMode (RealClassMode m)

std::string	getRealClassMode (void) const

Static Public Attributes
static double	ForgetFactor
	Facteur d'oubli pour moyenner les taux d'erreurs.

static double	GenForgetFactor
	Facteur d'oubli pour moyenner les taux d'erreurs de généralisation.

static double	GenGoodForgetFactor
	Facteur d'oubli pour moyenner les taux d'erreurs de généralisation des bons exemples.

static double	GenBadForgetFactor
	Facteur d'oubli pour moyenner les taux d'erreurs de généralisation des mauvais exemples.

static double	LocalForgetFactor
	Facteur d'oubli pour les min et max locaux.

Statistiques (pour normaliser les entrées)
std::string	_name
	Entrées utiles.

unsigned	_nStats
	Nombre d'exemples dans les stats.

std::map< unsigned, Stat >	_stats
	Statistiques pour chaque entrée.

std::ostream *	_stream
	fichier de sauvegarde des données reçues en apprentissage

std::ostream *	_tstream
	fichier de sauvegarde pour les données de propagation / test

double	_errorRate
	Taux d'erreur d'apprentissage.

double	_genErrorRate
	Taux d'erreur de généralisation.

double	_mg
	Minimum global d'erreur.

double	_Mg
	Maximum global d'erreur.

double	_ml
	Minimum local d'erreur.

double	_Ml
	Maximum local d'erreur.

double	_ggErrorRate
	Taux d'erreur de généralisation sur les bons exemples.

double	_mgl
	Min local d'erreur sur les bons (généralisation)

double	_Mgl
	Max local d'erreur sur les bons.

double	_mgg
	Min global d'erreur sur les bons.

double	_Mgg
	Max global d'erreur sur les bons.

double	_agErrorRate
	Taux d'erreur d'apprentissage sur les bons exemples.

unsigned	_stepsSinceGenMin
	Nb de tests depuis le dernier minimum global.

double	_gbErrorRate
	Taux d'erreur de généralisation sur les mauvais exemples.

double	_mggb
	Min global de (erreur bons + erreur mauvais) en généralisation.

double	_misclassGoodRate

double	_misclassBadRate

double	_minOut
	Borne inf de la sortie.

double	_maxOut
	Borne sup de la sortie.

bool	_learnfinished
	L'apprentissage a été effectué.

RealClassMode	_real_class_mode
	Real Class mode.

RelianceWeightMethod	_relianceWeightMethod

virtual void	resetStats ()
	Vide toutes les stats.

virtual void	setStats (const std::vector< double > &mean, const std::vector< double > &sigma)
	SetStats from vectors.

virtual void	learnStats (const std::vector< double > &vec, double outp=0)
	Ajout à la base de statistiques.

unsigned	nStats () const

void	setNStats (unsigned nstats)

const std::map< unsigned, Stat > &	stats () const

void	setStats (const std::map< unsigned, Stat > &stats)

double	getMean (unsigned ind)

double	getSigma (unsigned ind)

double	errorRate () const

double	genErrorRate () const

double	genGoodErrorRate () const

double	genBadErrorRate () const

double	genMeanErrorRate () const
	C'est CETTE fonction qui est utilisée pour la pondération des experts.

void	setErrorRate (double rate)

void	setGenErrorRate (double rate)

double	localMinGErr () const

double	localMaxGErr () const

double	globalMinGErr () const

double	globalMaxGErr () const

void	setLocalMinGErr (double e)

void	setLocalMaxGErr (double e)

void	setGlobalMinGErr (double e)

void	setGlobalMaxGErr (double e)

double	misclassGoodRate () const

void	setMisclassGoodRate (double x)

double	misclassBadRate () const

void	setMisclassBadRate (double x)

double	misclassRate () const

void	updateErrors (double err)
	Met à jour les taux d'erreur de généralisation (appelé par test())

void	updateGoodErrors (double err)
	Met à jour les taux d'erreur de généralisation pour les bons exemples (appelé par test())

void	updateBadErrors (double err)
	Met à jour les taux d'erreur de généralisation pour les bons exemples (appelé par test())

void	setGenGoodErrorRate (double rate)

void	setGenBadErrorRate (double rate)

void	setLocalGoodMinGErr (double e)

void	setLocalGoodMaxGErr (double e)

void	setGlobalGoodMinGErr (double e)

void	setGlobalGoodMaxGErr (double e)

double	appGoodErrorRate () const

void	setAppGoodErrorRate (double e)

unsigned	stepsSinceGenMin () const

void	setStepsSinceGenMin (unsigned n)

void	setGlobalGenGBError (double e)

void	setLearnfinished (bool s)

bool	getLearnfinished (void) const

virtual void	buildTree (Tree &tr) const
	Conversion en arbre (pour IO)

std::string	name () const

void	setName (const std::string name)

virtual void	setBaseName (const std::string &)

virtual void	getStreams (SubAdaptive &sa)
	Transfère les fichiers ouverts d'un autre modèle (en cas de copie)

virtual void	setFileNames (const std::string &)
	Noms des fichiers de sauvegardes (des réseaux de neurones par ex.)

virtual std::string	fileNames () const

virtual void	setMinOut (double mino)
	Fixe le min de la sortie.

virtual void	setMaxOut (double maxo)
	Fixe le max de la sortie.

virtual double	relianceWeight () const

RelianceWeightMethod	relianceWeightMethod () const

void	setRelianceWeightMethod (RelianceWeightMethod x)

	SubAdaptive (const std::string name="")

	SubAdaptive (const SubAdaptive &sa)

Detailed Description

Sous-élément adaptatif (classe abstraite).

Partie de Adaptive donnant soit la sortie proporement dite, soit la partie évaluation de la validité de la réponse

Definition at line 29 of file subAdaptive.h.

Member Enumeration Documentation

◆ RealClassMode

enum sigraph::SubAdaptive::RealClassMode

Enumerator
RealClassFromClassID
RealClassFromPotential

Definition at line 39 of file subAdaptive.h.

◆ RelianceWeightMethod

enum sigraph::SubAdaptive::RelianceWeightMethod

Enumerator
MeanGenError
MisclassFrequency

Definition at line 45 of file subAdaptive.h.

Constructor & Destructor Documentation

◆ ~SubAdaptive()

virtual sigraph::SubAdaptive::~SubAdaptive ( )

virtual

References SubAdaptive().

◆ SubAdaptive() [1/2]

sigraph::SubAdaptive::SubAdaptive ( const std::string name = "" )

protected

References name(), and SubAdaptive().

Referenced by clone(), getStreams(), sigraph::IncrementalSubAdaptive::IncrementalSubAdaptive(), sigraph::NonIncrementalSubAdaptive::NonIncrementalSubAdaptive(), operator=(), SubAdaptive(), SubAdaptive(), and ~SubAdaptive().

◆ SubAdaptive() [2/2]

sigraph::SubAdaptive::SubAdaptive ( const SubAdaptive & sa )

inlineprotected

Definition at line 281 of file subAdaptive.h.

References _agErrorRate, _errorRate, _gbErrorRate, _genErrorRate, _ggErrorRate, _learnfinished, _maxOut, _Mg, _mg, _Mgg, _mgg, _mggb, _Mgl, _mgl, _minOut, _misclassBadRate, _misclassGoodRate, _Ml, _ml, _name, _nStats, _real_class_mode, _relianceWeightMethod, _stats, _stepsSinceGenMin, _stream, _tstream, MeanGenError, and SubAdaptive().

Member Function Documentation

◆ appGoodErrorRate()

double sigraph::SubAdaptive::appGoodErrorRate ( ) const

inline

Definition at line 180 of file subAdaptive.h.

References _agErrorRate.

◆ buildTree()

virtual void sigraph::SubAdaptive::buildTree ( Tree & tr ) const

virtual

Conversion en arbre (pour IO)

Reimplemented in sigraph::SubAdGauss, sigraph::SubAdLogGauss, sigraph::SubAdMixGauss, sigraph::SubAdMlp, and sigraph::SubAdSvm.

◆ chooseFilename()

virtual std::string sigraph::SubAdaptive::chooseFilename ( const std::string & basename = "" ) const

virtual

Choisit un nom de fichier par défaut.

Reimplemented in sigraph::SubAdMlp, and sigraph::SubAdSvm.

◆ clone()

virtual SubAdaptive * sigraph::SubAdaptive::clone ( ) const

pure virtual

copie

Implemented in sigraph::SubAdGauss, sigraph::SubAdLogGauss, sigraph::SubAdMixGauss, sigraph::SubAdMlp, and sigraph::SubAdSvm.

References SubAdaptive().

Referenced by sigraph::AdaptiveLeaf::operator=(), sigraph::AdaptiveLeaf::setEval(), sigraph::AdaptiveLeaf::setEvalMemo(), sigraph::AdaptiveLeaf::setWork(), and sigraph::AdaptiveLeaf::setWorkMemo().

◆ closeFile()

virtual void sigraph::SubAdaptive::closeFile ( )

virtual

Ferme le fichier.

◆ errorRate()

double sigraph::SubAdaptive::errorRate ( ) const

inline

Definition at line 144 of file subAdaptive.h.

References _errorRate.

◆ fileNames()

virtual std::string sigraph::SubAdaptive::fileNames ( ) const

inlinevirtual

Reimplemented in sigraph::SubAdMlp, and sigraph::SubAdSvm.

Definition at line 205 of file subAdaptive.h.

◆ fileOpened()

virtual bool sigraph::SubAdaptive::fileOpened ( ) const

inlinevirtual

répond si le fichier est ouvert ou non

Definition at line 111 of file subAdaptive.h.

References _stream.

◆ genBadErrorRate()

double sigraph::SubAdaptive::genBadErrorRate ( ) const

inline

Definition at line 147 of file subAdaptive.h.

References _gbErrorRate.

◆ genErrorRate()

double sigraph::SubAdaptive::genErrorRate ( ) const

inline

Definition at line 145 of file subAdaptive.h.

References _genErrorRate.

◆ genGoodErrorRate()

double sigraph::SubAdaptive::genGoodErrorRate ( ) const

inline

Definition at line 146 of file subAdaptive.h.

References _ggErrorRate.

◆ genMeanErrorRate()

double sigraph::SubAdaptive::genMeanErrorRate ( ) const

C'est CETTE fonction qui est utilisée pour la pondération des experts.

◆ getLearnedLabel()

virtual double sigraph::SubAdaptive::getLearnedLabel ( const SiVectorLearnable & vl ) const

virtual

Reimplemented in sigraph::SubAdMlp, and sigraph::SubAdSvm.

◆ getLearnfinished()

bool sigraph::SubAdaptive::getLearnfinished ( void ) const

inline

Definition at line 186 of file subAdaptive.h.

References _learnfinished.

◆ getMean()

double sigraph::SubAdaptive::getMean ( unsigned ind )

inline

Definition at line 142 of file subAdaptive.h.

References _stats.

◆ getRealClassMode()

std::string sigraph::SubAdaptive::getRealClassMode ( void ) const

inline

Definition at line 122 of file subAdaptive.h.

References _real_class_mode.

◆ getSigma()

double sigraph::SubAdaptive::getSigma ( unsigned ind )

inline

Definition at line 143 of file subAdaptive.h.

References _stats.

◆ getStreams()

virtual void sigraph::SubAdaptive::getStreams ( SubAdaptive & sa )

inlinevirtual

Transfère les fichiers ouverts d'un autre modèle (en cas de copie)

Definition at line 196 of file subAdaptive.h.

References _stream, _tstream, and SubAdaptive().

◆ globalMaxGErr()

double sigraph::SubAdaptive::globalMaxGErr ( ) const

inline

Definition at line 155 of file subAdaptive.h.

References _Mg.

◆ globalMinGErr()

double sigraph::SubAdaptive::globalMinGErr ( ) const

inline

Definition at line 154 of file subAdaptive.h.

References _mg.

◆ hasIncrementalLearning()

virtual bool sigraph::SubAdaptive::hasIncrementalLearning ( void ) const

pure virtual

Apprentissage incrémental (vecteur par vecteur) ?

Implemented in sigraph::IncrementalSubAdaptive, and sigraph::NonIncrementalSubAdaptive.

◆ init()

virtual void sigraph::SubAdaptive::init ( )

virtual

Initialise l'apprentissage (fonction abstraite)

Reimplemented in sigraph::SubAdGauss, sigraph::SubAdMixGauss, and sigraph::SubAdMlp.

◆ learnStats()

virtual void sigraph::SubAdaptive::learnStats	(	const std::vector< double > &	vec,
		double	outp = 0 )

virtual

Ajout à la base de statistiques.

Reimplemented in sigraph::SubAdMlp, and sigraph::SubAdSvm.

References stats().

◆ localMaxGErr()

double sigraph::SubAdaptive::localMaxGErr ( ) const

inline

Definition at line 153 of file subAdaptive.h.

References _Ml.

◆ localMinGErr()

double sigraph::SubAdaptive::localMinGErr ( ) const

inline

Definition at line 152 of file subAdaptive.h.

References _ml.

◆ misclassBadRate()

double sigraph::SubAdaptive::misclassBadRate ( ) const

inline

Definition at line 162 of file subAdaptive.h.

References _misclassBadRate.

◆ misclassGoodRate()

double sigraph::SubAdaptive::misclassGoodRate ( ) const

inline

Definition at line 160 of file subAdaptive.h.

References _misclassGoodRate.

◆ misclassRate()

double sigraph::SubAdaptive::misclassRate ( ) const

inline

Definition at line 164 of file subAdaptive.h.

References _misclassBadRate, and _misclassGoodRate.

◆ name()

std::string sigraph::SubAdaptive::name ( ) const

inline

Definition at line 192 of file subAdaptive.h.

References _name.

Referenced by sigraph::IncrementalSubAdaptive::IncrementalSubAdaptive(), sigraph::NonIncrementalSubAdaptive::NonIncrementalSubAdaptive(), sigraph::SubAdMlp::setFileNames(), sigraph::SubAdSvm::setFileNames(), setName(), SubAdaptive(), sigraph::SubAdGauss::SubAdGauss(), sigraph::SubAdLogGauss::SubAdLogGauss(), sigraph::SubAdMixGauss::SubAdMixGauss(), sigraph::SubAdMlp::SubAdMlp(), sigraph::SubAdMlp::SubAdMlp(), and sigraph::SubAdSvm::SubAdSvm().

◆ normalizedPotential()

double sigraph::SubAdaptive::normalizedPotential ( double outp ) const

inlinevirtual

Definition at line 358 of file subAdaptive.h.

References _maxOut, and _minOut.

◆ normalizeSelected()

virtual std::vector< double > * sigraph::SubAdaptive::normalizeSelected	(	const double *	vec,
		unsigned int	size )

virtual

Normalise le vecteur d'entrée et ne retourne que les composantes sélectionnées dans le modèle.

◆ nStats()

unsigned sigraph::SubAdaptive::nStats ( ) const

inline

Definition at line 334 of file subAdaptive.h.

References _nStats.

◆ openFile()

virtual bool sigraph::SubAdaptive::openFile ( const std::string & filename = "" )

virtual

Ouvre un fichier pour écrire les vecteurs de données.

Parameters

filename nom du fichier à ouvrir. Si filename = "", prend un mon par défaut avec l'extension .dat. Si filename finit par '/' c'est considéré comme la base d'un nom qui sera complété automatiquement.

◆ operator=()

SubAdaptive & sigraph::SubAdaptive::operator= ( const SubAdaptive & sa )

inlinevirtual

Definition at line 300 of file subAdaptive.h.

References _agErrorRate, _errorRate, _gbErrorRate, _genErrorRate, _ggErrorRate, _learnfinished, _maxOut, _Mg, _mg, _Mgg, _mgg, _mggb, _Mgl, _mgl, _minOut, _misclassBadRate, _misclassGoodRate, _Ml, _ml, _name, _nStats, _real_class_mode, _relianceWeightMethod, _stats, _stepsSinceGenMin, and SubAdaptive().

Referenced by sigraph::IncrementalSubAdaptive::operator=(), and sigraph::NonIncrementalSubAdaptive::operator=().

◆ prop()

virtual double sigraph::SubAdaptive::prop ( const std::vector< double > & vec )

pure virtual

Propagation (model answer).

The output is normalized between minout and maxout, but not weighted by the relianceWeight() yet: this weight will be applied at a higher level by AdaptiveLeaf.

Implemented in sigraph::SubAdGauss, sigraph::SubAdLogGauss, sigraph::SubAdMixGauss, sigraph::SubAdMlp, and sigraph::SubAdSvm.

◆ relianceWeight()

virtual double sigraph::SubAdaptive::relianceWeight ( ) const

virtual

◆ relianceWeightMethod()

RelianceWeightMethod sigraph::SubAdaptive::relianceWeightMethod ( ) const

inline

Definition at line 211 of file subAdaptive.h.

References _relianceWeightMethod.

◆ resetStats()

virtual void sigraph::SubAdaptive::resetStats ( )

virtual

Vide toutes les stats.

◆ setAppGoodErrorRate()

void sigraph::SubAdaptive::setAppGoodErrorRate ( double e )

inline

Definition at line 181 of file subAdaptive.h.

References _agErrorRate.

◆ setBaseName()

virtual void sigraph::SubAdaptive::setBaseName ( const std::string & )

inlinevirtual

Reimplemented in sigraph::SubAdMlp, and sigraph::SubAdSvm.

Definition at line 194 of file subAdaptive.h.

◆ setErrorRate()

void sigraph::SubAdaptive::setErrorRate ( double rate )

inline

Definition at line 150 of file subAdaptive.h.

References _errorRate.

◆ setFileNames()

virtual void sigraph::SubAdaptive::setFileNames ( const std::string & )

inlinevirtual

Noms des fichiers de sauvegardes (des réseaux de neurones par ex.)

Reimplemented in sigraph::SubAdMlp, and sigraph::SubAdSvm.

Definition at line 204 of file subAdaptive.h.

◆ setGenBadErrorRate()

void sigraph::SubAdaptive::setGenBadErrorRate ( double rate )

inline

Definition at line 175 of file subAdaptive.h.

References _gbErrorRate.

◆ setGenErrorRate()

void sigraph::SubAdaptive::setGenErrorRate ( double rate )

inline

Definition at line 151 of file subAdaptive.h.

References _genErrorRate.

◆ setGenGoodErrorRate()

void sigraph::SubAdaptive::setGenGoodErrorRate ( double rate )

inline

Definition at line 174 of file subAdaptive.h.

References _ggErrorRate.

◆ setGlobalGenGBError()

void sigraph::SubAdaptive::setGlobalGenGBError ( double e )

inline

Definition at line 184 of file subAdaptive.h.

References _mggb.

◆ setGlobalGoodMaxGErr()

void sigraph::SubAdaptive::setGlobalGoodMaxGErr ( double e )

inline

Definition at line 179 of file subAdaptive.h.

References _Mgg.

◆ setGlobalGoodMinGErr()

void sigraph::SubAdaptive::setGlobalGoodMinGErr ( double e )

inline

Definition at line 178 of file subAdaptive.h.

References _mgg.

◆ setGlobalMaxGErr()

void sigraph::SubAdaptive::setGlobalMaxGErr ( double e )

inline

Definition at line 159 of file subAdaptive.h.

References _Mg.

◆ setGlobalMinGErr()

void sigraph::SubAdaptive::setGlobalMinGErr ( double e )

inline

Definition at line 158 of file subAdaptive.h.

References _mg.

◆ setLearnfinished()

void sigraph::SubAdaptive::setLearnfinished ( bool s )

inline

Definition at line 185 of file subAdaptive.h.

References _learnfinished.

◆ setLocalGoodMaxGErr()

void sigraph::SubAdaptive::setLocalGoodMaxGErr ( double e )

inline

Definition at line 177 of file subAdaptive.h.

References _Mgl.

◆ setLocalGoodMinGErr()

void sigraph::SubAdaptive::setLocalGoodMinGErr ( double e )

inline

Definition at line 176 of file subAdaptive.h.

References _mgl.

◆ setLocalMaxGErr()

void sigraph::SubAdaptive::setLocalMaxGErr ( double e )

inline

Definition at line 157 of file subAdaptive.h.

References _Ml.

◆ setLocalMinGErr()

void sigraph::SubAdaptive::setLocalMinGErr ( double e )

inline

Definition at line 156 of file subAdaptive.h.

References _ml.

◆ setMaxOut()

virtual void sigraph::SubAdaptive::setMaxOut ( double maxo )

inlinevirtual

Fixe le max de la sortie.

Definition at line 209 of file subAdaptive.h.

References _maxOut.

◆ setMinOut()

virtual void sigraph::SubAdaptive::setMinOut ( double mino )

inlinevirtual

Fixe le min de la sortie.

Definition at line 207 of file subAdaptive.h.

References _minOut.

◆ setMisclassBadRate()

void sigraph::SubAdaptive::setMisclassBadRate ( double x )

inline

Definition at line 163 of file subAdaptive.h.

References _misclassBadRate.

◆ setMisclassGoodRate()

void sigraph::SubAdaptive::setMisclassGoodRate ( double x )

inline

Definition at line 161 of file subAdaptive.h.

References _misclassGoodRate.

◆ setName()

void sigraph::SubAdaptive::setName ( const std::string name )

inline

Definition at line 193 of file subAdaptive.h.

References _name, and name().

◆ setNStats()

void sigraph::SubAdaptive::setNStats ( unsigned nstats )

inline

Definition at line 340 of file subAdaptive.h.

References _nStats.

◆ setRealClassMode()

void sigraph::SubAdaptive::setRealClassMode ( RealClassMode m )

inline

Definition at line 121 of file subAdaptive.h.

References _real_class_mode.

◆ setRelianceWeightMethod()

void sigraph::SubAdaptive::setRelianceWeightMethod ( RelianceWeightMethod x )

inline

Definition at line 213 of file subAdaptive.h.

References _relianceWeightMethod.

◆ setStats() [1/2]

void sigraph::SubAdaptive::setStats ( const std::map< unsigned, Stat > & stats )

inline

Definition at line 353 of file subAdaptive.h.

References _stats, and stats().

◆ setStats() [2/2]

virtual void sigraph::SubAdaptive::setStats	(	const std::vector< double > &	mean,
		const std::vector< double > &	sigma )

virtual

SetStats from vectors.

◆ setStepsSinceGenMin()

void sigraph::SubAdaptive::setStepsSinceGenMin ( unsigned n )

inline

Definition at line 183 of file subAdaptive.h.

References _stepsSinceGenMin.

◆ stats()

const std::map< unsigned, SubAdaptive::Stat > & sigraph::SubAdaptive::stats ( ) const

inline

Definition at line 347 of file subAdaptive.h.

References _stats.

Referenced by learnStats(), and setStats().

◆ stepsSinceGenMin()

unsigned sigraph::SubAdaptive::stepsSinceGenMin ( ) const

inline

Definition at line 182 of file subAdaptive.h.

References _stepsSinceGenMin.

◆ subFiles()

virtual void sigraph::SubAdaptive::subFiles	(	const std::string &	prefix,
		std::set< std::string > &	listNames ) const

virtual

Donne la liste des fichiers sous le modèle.

Reimplemented in sigraph::SubAdMlp, and sigraph::SubAdSvm.

◆ test() [1/2]

virtual SubAdResponse * sigraph::SubAdaptive::test ( const SiDBLearnable & tst )

virtual

Referenced by sigraph::IncrementalSubAdaptive::learn(), sigraph::SubAdGauss::learn(), sigraph::IncrementalSubAdaptive::train(), and sigraph::SubAdGauss::train().

◆ test() [2/2]

virtual double sigraph::SubAdaptive::test ( const SiVectorLearnable & vl )

virtual

Test: met à jour le taux d'erreur de généralisation Renvoie la valeur prédite par le classifieur.

Reimplemented in sigraph::SubAdMlp, and sigraph::SubAdSvm.

◆ train()

virtual SubAdResponse * sigraph::SubAdaptive::train	(	AdaptiveLeaf &	,
		const SiDBLearnable &	tr,
		const SiDBLearnable &	tst )

pure virtual

Cumule phase d'apprentissage (learn) et phase de test si besoin.

Implemented in sigraph::IncrementalSubAdaptive, sigraph::NonIncrementalSubAdaptive, sigraph::SubAdGauss, and sigraph::SubAdMlp.

◆ unNormalizedPotential()

double sigraph::SubAdaptive::unNormalizedPotential ( double nout ) const

inlinevirtual

Definition at line 363 of file subAdaptive.h.

References _maxOut, and _minOut.

◆ updateBadErrors()

void sigraph::SubAdaptive::updateBadErrors ( double err )

Met à jour les taux d'erreur de généralisation pour les bons exemples (appelé par test())

◆ updateErrors()

void sigraph::SubAdaptive::updateErrors ( double err )

Met à jour les taux d'erreur de généralisation (appelé par test())

◆ updateGoodErrors()

void sigraph::SubAdaptive::updateGoodErrors ( double err )

Met à jour les taux d'erreur de généralisation pour les bons exemples (appelé par test())

Member Data Documentation

◆ _agErrorRate

double sigraph::SubAdaptive::_agErrorRate

protected

Taux d'erreur d'apprentissage sur les bons exemples.

Definition at line 251 of file subAdaptive.h.

Referenced by appGoodErrorRate(), operator=(), setAppGoodErrorRate(), and SubAdaptive().

◆ _errorRate

double sigraph::SubAdaptive::_errorRate

protected

Taux d'erreur d'apprentissage.

Definition at line 229 of file subAdaptive.h.

Referenced by errorRate(), operator=(), setErrorRate(), and SubAdaptive().

◆ _gbErrorRate

double sigraph::SubAdaptive::_gbErrorRate

protected

Taux d'erreur de généralisation sur les mauvais exemples.

Definition at line 255 of file subAdaptive.h.

Referenced by genBadErrorRate(), operator=(), setGenBadErrorRate(), and SubAdaptive().

◆ _genErrorRate

double sigraph::SubAdaptive::_genErrorRate

protected

Taux d'erreur de généralisation.

Definition at line 231 of file subAdaptive.h.

Referenced by genErrorRate(), operator=(), setGenErrorRate(), and SubAdaptive().

◆ _ggErrorRate

double sigraph::SubAdaptive::_ggErrorRate

protected

Taux d'erreur de généralisation sur les bons exemples.

Definition at line 241 of file subAdaptive.h.

Referenced by genGoodErrorRate(), operator=(), setGenGoodErrorRate(), and SubAdaptive().

◆ _learnfinished

bool sigraph::SubAdaptive::_learnfinished

protected

L'apprentissage a été effectué.

Definition at line 265 of file subAdaptive.h.

Referenced by getLearnfinished(), operator=(), setLearnfinished(), and SubAdaptive().

◆ _maxOut

double sigraph::SubAdaptive::_maxOut

protected

Borne sup de la sortie.

Definition at line 263 of file subAdaptive.h.

Referenced by normalizedPotential(), operator=(), setMaxOut(), SubAdaptive(), and unNormalizedPotential().

◆ _Mg

double sigraph::SubAdaptive::_Mg

protected

Maximum global d'erreur.

Definition at line 235 of file subAdaptive.h.

Referenced by globalMaxGErr(), operator=(), setGlobalMaxGErr(), and SubAdaptive().

◆ _mg

double sigraph::SubAdaptive::_mg

protected

Minimum global d'erreur.

Definition at line 233 of file subAdaptive.h.

Referenced by globalMinGErr(), operator=(), setGlobalMinGErr(), and SubAdaptive().

◆ _Mgg

double sigraph::SubAdaptive::_Mgg

protected

Max global d'erreur sur les bons.

Definition at line 249 of file subAdaptive.h.

Referenced by operator=(), setGlobalGoodMaxGErr(), and SubAdaptive().

◆ _mgg

double sigraph::SubAdaptive::_mgg

protected

Min global d'erreur sur les bons.

Definition at line 247 of file subAdaptive.h.

Referenced by operator=(), setGlobalGoodMinGErr(), and SubAdaptive().

◆ _mggb

double sigraph::SubAdaptive::_mggb

protected

Min global de (erreur bons + erreur mauvais) en généralisation.

Definition at line 257 of file subAdaptive.h.

Referenced by operator=(), setGlobalGenGBError(), and SubAdaptive().

◆ _Mgl

double sigraph::SubAdaptive::_Mgl

protected

Max local d'erreur sur les bons.

Definition at line 245 of file subAdaptive.h.

Referenced by operator=(), setLocalGoodMaxGErr(), and SubAdaptive().

◆ _mgl

double sigraph::SubAdaptive::_mgl

protected

Min local d'erreur sur les bons (généralisation)

Definition at line 243 of file subAdaptive.h.

Referenced by operator=(), setLocalGoodMinGErr(), and SubAdaptive().

◆ _minOut

double sigraph::SubAdaptive::_minOut

protected

Borne inf de la sortie.

Definition at line 261 of file subAdaptive.h.

Referenced by normalizedPotential(), operator=(), setMinOut(), SubAdaptive(), and unNormalizedPotential().

◆ _misclassBadRate

double sigraph::SubAdaptive::_misclassBadRate

protected

Definition at line 259 of file subAdaptive.h.

Referenced by misclassBadRate(), misclassRate(), operator=(), setMisclassBadRate(), and SubAdaptive().

◆ _misclassGoodRate

double sigraph::SubAdaptive::_misclassGoodRate

protected

Definition at line 258 of file subAdaptive.h.

Referenced by misclassGoodRate(), misclassRate(), operator=(), setMisclassGoodRate(), and SubAdaptive().

◆ _Ml

double sigraph::SubAdaptive::_Ml

protected

Maximum local d'erreur.

Definition at line 239 of file subAdaptive.h.

Referenced by localMaxGErr(), operator=(), setLocalMaxGErr(), and SubAdaptive().

◆ _ml

double sigraph::SubAdaptive::_ml

protected

Minimum local d'erreur.

Definition at line 237 of file subAdaptive.h.

Referenced by localMinGErr(), operator=(), setLocalMinGErr(), and SubAdaptive().

◆ _name

std::string sigraph::SubAdaptive::_name

protected

Entrées utiles.

Definition at line 219 of file subAdaptive.h.

Referenced by name(), operator=(), setName(), and SubAdaptive().

◆ _nStats

unsigned sigraph::SubAdaptive::_nStats

protected

Nombre d'exemples dans les stats.

Definition at line 221 of file subAdaptive.h.

Referenced by nStats(), operator=(), setNStats(), and SubAdaptive().

◆ _real_class_mode

RealClassMode sigraph::SubAdaptive::_real_class_mode

protected

Real Class mode.

Definition at line 268 of file subAdaptive.h.

Referenced by getRealClassMode(), operator=(), setRealClassMode(), and SubAdaptive().

◆ _relianceWeightMethod

RelianceWeightMethod sigraph::SubAdaptive::_relianceWeightMethod

protected

Definition at line 269 of file subAdaptive.h.

Referenced by operator=(), relianceWeightMethod(), setRelianceWeightMethod(), and SubAdaptive().

◆ _stats

std::map<unsigned, Stat> sigraph::SubAdaptive::_stats

protected

Statistiques pour chaque entrée.

Definition at line 223 of file subAdaptive.h.

Referenced by getMean(), getSigma(), operator=(), setStats(), stats(), and SubAdaptive().

◆ _stepsSinceGenMin

unsigned sigraph::SubAdaptive::_stepsSinceGenMin

protected

Nb de tests depuis le dernier minimum global.

Definition at line 253 of file subAdaptive.h.

Referenced by operator=(), setStepsSinceGenMin(), stepsSinceGenMin(), and SubAdaptive().

◆ _stream

std::ostream* sigraph::SubAdaptive::_stream

protected

fichier de sauvegarde des données reçues en apprentissage

Definition at line 225 of file subAdaptive.h.

Referenced by fileOpened(), getStreams(), and SubAdaptive().

◆ _tstream

std::ostream* sigraph::SubAdaptive::_tstream

protected

fichier de sauvegarde pour les données de propagation / test

Definition at line 227 of file subAdaptive.h.

Referenced by getStreams(), and SubAdaptive().

◆ ForgetFactor

double sigraph::SubAdaptive::ForgetFactor

static

Facteur d'oubli pour moyenner les taux d'erreurs.

Definition at line 52 of file subAdaptive.h.

◆ GenBadForgetFactor

double sigraph::SubAdaptive::GenBadForgetFactor

static

Facteur d'oubli pour moyenner les taux d'erreurs de généralisation des mauvais exemples.

Definition at line 60 of file subAdaptive.h.

◆ GenForgetFactor

double sigraph::SubAdaptive::GenForgetFactor

static

Facteur d'oubli pour moyenner les taux d'erreurs de généralisation.

Definition at line 54 of file subAdaptive.h.

◆ GenGoodForgetFactor

double sigraph::SubAdaptive::GenGoodForgetFactor

static

Facteur d'oubli pour moyenner les taux d'erreurs de généralisation des bons exemples.

Definition at line 57 of file subAdaptive.h.

◆ LocalForgetFactor

double sigraph::SubAdaptive::LocalForgetFactor

static

Facteur d'oubli pour les min et max locaux.

Definition at line 62 of file subAdaptive.h.

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

si/subadaptive/subAdaptive.h

SiGraph: sulcal graphs

Classes

Public Types

Public Member Functions

Static Public Attributes

Statistiques (pour normaliser les entrées)

Detailed Description

Member Enumeration Documentation

◆ RealClassMode

◆ RelianceWeightMethod

Constructor & Destructor Documentation

◆ ~SubAdaptive()

◆ SubAdaptive() [1/2]

◆ SubAdaptive() [2/2]

Member Function Documentation

◆ appGoodErrorRate()

◆ buildTree()

◆ chooseFilename()

◆ clone()

◆ closeFile()

◆ errorRate()

◆ fileNames()

◆ fileOpened()

◆ genBadErrorRate()

◆ genErrorRate()

◆ genGoodErrorRate()

◆ genMeanErrorRate()

◆ getLearnedLabel()

◆ getLearnfinished()

◆ getMean()

◆ getRealClassMode()

◆ getSigma()

◆ getStreams()

◆ globalMaxGErr()

◆ globalMinGErr()

◆ hasIncrementalLearning()

◆ init()

◆ learnStats()

◆ localMaxGErr()

◆ localMinGErr()

◆ misclassBadRate()

◆ misclassGoodRate()

◆ misclassRate()

◆ name()

◆ normalizedPotential()

◆ normalizeSelected()

◆ nStats()

◆ openFile()

◆ operator=()

◆ prop()

◆ relianceWeight()

◆ relianceWeightMethod()

◆ resetStats()

◆ setAppGoodErrorRate()

◆ setBaseName()

◆ setErrorRate()

◆ setFileNames()

◆ setGenBadErrorRate()

◆ setGenErrorRate()

◆ setGenGoodErrorRate()

◆ setGlobalGenGBError()

◆ setGlobalGoodMaxGErr()

◆ setGlobalGoodMinGErr()

◆ setGlobalMaxGErr()

◆ setGlobalMinGErr()

◆ setLearnfinished()

◆ setLocalGoodMaxGErr()

◆ setLocalGoodMinGErr()

◆ setLocalMaxGErr()

◆ setLocalMinGErr()

◆ setMaxOut()

◆ setMinOut()

◆ setMisclassBadRate()

◆ setMisclassGoodRate()

◆ setName()

◆ setNStats()

◆ setRealClassMode()

◆ setRelianceWeightMethod()

◆ setStats() [1/2]

◆ setStats() [2/2]