#include <si/model/topAdaptive.h>

Inheritance diagram for sigraph::TopAdaptive:

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Collaboration diagram for sigraph::TopAdaptive:

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Public Member Functions
	TopAdaptive (Model *submod=0)

	TopAdaptive (const TopAdaptive &a)

virtual	~TopAdaptive ()

virtual Model *	clone () const
	Duplication (fonction abstraite)

TopAdaptive &	operator= (const TopAdaptive &m)

Accès au modèle sous-jacent
virtual Model *	model ()

virtual void	setModel (Model *subm)

virtual double	prop (const Clique *)
	Propagation (réponse du modèle)

virtual double	prop (const Clique cl, const std::map< Vertex , std::string > &changes)
	Donne le potentiel d'une clique, après une transformation de labels de noeuds, en ne le recalculant que si les labels ayant changé changent effectivement le potentiel.

virtual bool	doesOutputChange (const Clique cl, const std::map< Vertex , std::string > &changes) const
	tells whether a label change inpacts the model output or not.

virtual bool	openFile (const std::string &basename="")
	Ouvre le(s) fichier(s) de sauvegardes des données reçues.

virtual void	closeFile ()
	Ferme le(s) fichier(s) de sauvegardes des données reçues.

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

virtual double	printDescription (Clique *cl, bool=false)
	Calcule le potentiel et garde le(s) vecteur(s) de description.

virtual TopModel *	topModel ()
	Donne la base de l'arborescence (TopModel, s'il y en a)

virtual const TopModel *	topModel () const

Accès à l'Adaptive
virtual void	generateDataBase (Learner &learner, const std::string &prefix, const std::list< Clique * > lrnCliques, const std::list< Clique > *tstCliques, int cycles, int cycles_tst)
	Apprentissage et test.

virtual double	eval (const Clique *)
	Evaluation (confiance dans la réponse au point donné) (fonction abstraite)

virtual double	errorRate () const
	Taux d'erreur d'apprentissage global.

virtual double	genErrorRate () const
	Taux d'erreur de généralisation.

virtual double	relianceWeight () const

virtual void	init ()
	Initialisation des parties adaptatives (fonction abstraite)

virtual bool	checkLearnFinished ()
	fonction non-const pcq elle peut positionner le flag

virtual void	forceLearnFinished ()
	fait ce qu'il faut pour "fermer" l'apprentissage (remet le dernier mémo...)

virtual void	resetStats ()
	Vide toutes les stats (fonction abstraite)

virtual void	trainStats (Learner &learner, const std::list< Clique * > &cliques)
	Ajout à la base de statistiques (fonction abstraite)

Public Member Functions inherited from sigraph::Adaptive
virtual	~Adaptive ()

Adaptive &	operator= (const Adaptive &ad)

virtual void	trainDomain (const std::list< Clique * > &cliques)

bool	isAdaptive () const
	Le modèle est-il adaptatif ?

unsigned	nbLearnData () const

void	setNbLearnData (unsigned n)

virtual bool	learnFinished () const
	regarde juste la variable interne

void	setLearnFinished (bool f)

Public Member Functions inherited from sigraph::Model
virtual	~Model ()

Model &	operator= (const Model &m)

virtual double	update (const Clique *cl)
	Met à jour les états internes du modèle (au besoin) Cette fonction doit être appelée après chaque changement de label.

virtual double	update (const Clique cl, const std::map< Vertex , std::string > &changes)
	Change les états internes pour les noeuds de la liste changes, chacun avec son ancien nom (pour les changements par différence).

virtual Model *	parent ()
	Donne le parent direct (0 si pas de parent)

virtual void	setParent (Model *m)
	Fixe le parent.

virtual carto::AttributedObject *	graphObject ()
	Donne l'élément parent du graphe modèle.

virtual const carto::AttributedObject *	graphObject () const

Public Member Functions inherited from sigraph::TopModel
	TopModel (carto::AttributedObject *parent=0)

	TopModel (const TopModel &tm)

virtual	~TopModel ()

TopModel &	operator= (const TopModel &tm)

std::set< std::string > &	significantLabels ()

const std::set< std::string > &	significantLabels () const

const std::string &	voidLabel () const

void	setVoidLabel (const std::string &s)

virtual carto::AttributedObject *	parentAO ()

virtual const carto::AttributedObject *	parentAO () const

void	setParentAO (carto::AttributedObject *newParent)

void	setMGraph (MGraph *mg)

const MGraph *	mGraph () const

MGraph *	mGraph ()

double	weight () const

void	setWeight (double w)

virtual double	confidenceFactor () const
	confidence factor generally used to weight the model output (different from weight() which is another additional factor)

IO
Model *	_model

virtual void	buildTree (Tree &tr) const
	(devrait être externe à la classe...)

virtual void	setBaseName (const std::string &basename)

Additional Inherited Members
	Adaptive (Model *parent=0)

	Adaptive (const Adaptive &ad)

	Model (Model *parent=0)

	Model (const Model &m)

unsigned	_ndata
	Nombre d'exemples appris.

bool	_learnfinished

std::string	_voidLabel
	Label par défaut, qu'on attribue à tous les noeuds de label non reconnus.

std::set< std::string >	_significantLabels
	Liste des labels qui ont un sens pour le modèle.

carto::AttributedObject *	_parentAO

double	_weight
	Poids de l'élément dans le recuit.

MGraph *	_mgraph

Detailed Description

Definition at line 15 of file topAdaptive.h.

Constructor & Destructor Documentation

◆ TopAdaptive() [1/2]

sigraph::TopAdaptive::TopAdaptive ( Model * submod = 0 )

Referenced by clone(), operator=(), and TopAdaptive().

◆ TopAdaptive() [2/2]

sigraph::TopAdaptive::TopAdaptive ( const TopAdaptive & a )

References TopAdaptive().

◆ ~TopAdaptive()

virtual sigraph::TopAdaptive::~TopAdaptive ( )

virtual

Member Function Documentation

◆ buildTree()

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

virtual

(devrait être externe à la classe...)

Reimplemented from sigraph::Adaptive.

◆ checkLearnFinished()

bool sigraph::TopAdaptive::checkLearnFinished ( )

inlinevirtual

fonction non-const pcq elle peut positionner le flag

Reimplemented from sigraph::Adaptive.

Definition at line 209 of file topAdaptive.h.

References sigraph::Adaptive::_learnfinished, _model, and sigraph::Adaptive::Adaptive().

◆ clone()

Model * sigraph::TopAdaptive::clone ( ) const

inlinevirtual

Duplication (fonction abstraite)

Implements sigraph::Adaptive.

Definition at line 89 of file topAdaptive.h.

References TopAdaptive().

◆ closeFile()

void sigraph::TopAdaptive::closeFile ( )

inlinevirtual

Ferme le(s) fichier(s) de sauvegardes des données reçues.

Reimplemented from sigraph::Model.

Definition at line 121 of file topAdaptive.h.

References _model.

◆ doesOutputChange()

virtual bool sigraph::TopAdaptive::doesOutputChange	(	const Clique *	cl,
		const std::map< Vertex *, std::string > &	changes ) const

virtual

tells whether a label change inpacts the model output or not.

The default implementation always returns true

Reimplemented from sigraph::Model.

References sigraph::TopModel::TopModel().

◆ errorRate()

double sigraph::TopAdaptive::errorRate ( ) const

inlinevirtual

Taux d'erreur d'apprentissage global.

Implements sigraph::Adaptive.

Definition at line 153 of file topAdaptive.h.

References _model, sigraph::Adaptive::Adaptive(), and errorRate().

Referenced by errorRate().

◆ eval()

double sigraph::TopAdaptive::eval ( const Clique * )

inlinevirtual

Evaluation (confiance dans la réponse au point donné) (fonction abstraite)

Implements sigraph::Adaptive.

Definition at line 145 of file topAdaptive.h.

References _model, sigraph::Adaptive::Adaptive(), and eval().

Referenced by eval().

◆ forceLearnFinished()

void sigraph::TopAdaptive::forceLearnFinished ( )

inlinevirtual

fait ce qu'il faut pour "fermer" l'apprentissage (remet le dernier mémo...)

Reimplemented from sigraph::Adaptive.

Definition at line 222 of file topAdaptive.h.

References sigraph::Adaptive::_learnfinished, _model, and sigraph::Adaptive::Adaptive().

◆ generateDataBase()

void sigraph::TopAdaptive::generateDataBase	(	Learner &	learner,
		const std::string &	prefix,
		const std::list< Clique * > *	lrnCliques,
		const std::list< Clique * > *	tstCliques,
		int	cycles,
		int	cycles_tst )

inlinevirtual

Apprentissage et test.

Implements sigraph::Adaptive.

Definition at line 134 of file topAdaptive.h.

References _model, and sigraph::Adaptive::Adaptive().

◆ genErrorRate()

double sigraph::TopAdaptive::genErrorRate ( ) const

inlinevirtual

Taux d'erreur de généralisation.

Implements sigraph::Adaptive.

Definition at line 161 of file topAdaptive.h.

References _model, sigraph::Adaptive::Adaptive(), and genErrorRate().

Referenced by genErrorRate().

◆ init()

void sigraph::TopAdaptive::init ( )

inlinevirtual

Initialisation des parties adaptatives (fonction abstraite)

Reimplemented from sigraph::Adaptive.

Definition at line 169 of file topAdaptive.h.

References _model, sigraph::Adaptive::_ndata, and sigraph::Adaptive::Adaptive().

◆ model()

virtual Model * sigraph::TopAdaptive::model ( )

inlinevirtual

Definition at line 27 of file topAdaptive.h.

References _model.

◆ openFile()

bool sigraph::TopAdaptive::openFile ( const std::string & basename = "" )

inlinevirtual

Ouvre le(s) fichier(s) de sauvegardes des données reçues.

Reimplemented from sigraph::Model.

Definition at line 115 of file topAdaptive.h.

References _model.

◆ operator=()

TopAdaptive & sigraph::TopAdaptive::operator= ( const TopAdaptive & m )

References TopAdaptive().

◆ printDescription()

double sigraph::TopAdaptive::printDescription	(	Clique *	cl,
		bool	naming = false )

inlinevirtual

Calcule le potentiel et garde le(s) vecteur(s) de description.

Reimplemented from sigraph::Model.

Definition at line 109 of file topAdaptive.h.

References _model.

◆ prop() [1/2]

double sigraph::TopAdaptive::prop ( const Clique * cl )

inlinevirtual

Propagation (réponse du modèle)

Implements sigraph::Model.

Definition at line 103 of file topAdaptive.h.

References _model.

◆ prop() [2/2]

virtual double sigraph::TopAdaptive::prop	(	const Clique *	cl,
		const std::map< Vertex *, std::string > &	changes )

virtual

Donne le potentiel d'une clique, après une transformation de labels de noeuds, en ne le recalculant que si les labels ayant changé changent effectivement le potentiel.

Parameters

cl	clique à décrire
changes	liste des noeuds dont le label a changé, avec pour chacun le label d'origine (avant changement), le changement doit déjà être effectué

Returns: potentiel

Reimplemented from sigraph::Model.

◆ relianceWeight()

double sigraph::TopAdaptive::relianceWeight ( ) const

inlinevirtual

Implements sigraph::Adaptive.

Definition at line 95 of file topAdaptive.h.

References _model, sigraph::Adaptive::Adaptive(), and relianceWeight().

Referenced by relianceWeight().

◆ resetStats()

void sigraph::TopAdaptive::resetStats ( )

inlinevirtual

Vide toutes les stats (fonction abstraite)

Implements sigraph::Adaptive.

Definition at line 177 of file topAdaptive.h.

References _model, and sigraph::Adaptive::Adaptive().

◆ setBaseName()

void sigraph::TopAdaptive::setBaseName ( const std::string & basename )

inlinevirtual

Reimplemented from sigraph::Model.

Definition at line 203 of file topAdaptive.h.

References _model.

◆ setModel()

virtual void sigraph::TopAdaptive::setModel ( Model * subm )

inlinevirtual

Definition at line 28 of file topAdaptive.h.

References _model.

◆ subFiles()

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

inlinevirtual

Donne la liste des fichiers sous le modèle.

Reimplemented from sigraph::Model.

Definition at line 127 of file topAdaptive.h.

References _model.

◆ topModel() [1/2]

TopModel * sigraph::TopAdaptive::topModel ( )

inlinevirtual

Donne la base de l'arborescence (TopModel, s'il y en a)

Reimplemented from sigraph::Model.

Definition at line 192 of file topAdaptive.h.

References sigraph::TopModel::TopModel().

◆ topModel() [2/2]

const TopModel * sigraph::TopAdaptive::topModel ( ) const

inlinevirtual

Reimplemented from sigraph::Model.

Definition at line 198 of file topAdaptive.h.

References sigraph::TopModel::TopModel().

◆ trainStats()

void sigraph::TopAdaptive::trainStats	(	Learner &	learner,
		const std::list< Clique * > &	cliques )

inlinevirtual

Ajout à la base de statistiques (fonction abstraite)

Implements sigraph::Adaptive.

Definition at line 184 of file topAdaptive.h.

References _model, and sigraph::Adaptive::Adaptive().

Member Data Documentation

◆ _model

Model* sigraph::TopAdaptive::_model

protected

Definition at line 82 of file topAdaptive.h.

Referenced by checkLearnFinished(), closeFile(), errorRate(), eval(), forceLearnFinished(), generateDataBase(), genErrorRate(), init(), model(), openFile(), printDescription(), prop(), relianceWeight(), resetStats(), setBaseName(), setModel(), subFiles(), and trainStats().

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

si/model/topAdaptive.h

SiGraph: sulcal graphs

Public Member Functions

IO

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ TopAdaptive() [1/2]

◆ TopAdaptive() [2/2]

◆ ~TopAdaptive()

Member Function Documentation

◆ buildTree()

◆ checkLearnFinished()

◆ clone()

◆ closeFile()

◆ doesOutputChange()

◆ errorRate()

◆ eval()

◆ forceLearnFinished()

◆ generateDataBase()

◆ genErrorRate()

◆ init()

◆ model()

◆ openFile()

◆ operator=()

◆ printDescription()

◆ prop() [1/2]

◆ prop() [2/2]

◆ relianceWeight()

◆ resetStats()

◆ setBaseName()

◆ setModel()

◆ subFiles()

◆ topModel() [1/2]

◆ topModel() [2/2]

◆ trainStats()

Member Data Documentation

◆ _model