sigraph::AdaptiveLeaf Class Reference

El�ment adaptatif terminal. More...

#include <si/model/adaptiveLeaf.h>

Inheritance diagram for sigraph::AdaptiveLeaf:

Collaboration diagram for sigraph::AdaptiveLeaf:

Public Types
enum	State { LEARNING , STOPPABLE , STOPPED }
	Etat d'apprentissage. More...

Public Member Functions
	AdaptiveLeaf (const CliqueDescr *cd=0, const SubAdaptive *work=0, const SubAdaptive *eval=0)
	AdaptiveLeaf (const AdaptiveLeaf &ad)
virtual	~AdaptiveLeaf ()
virtual Model *	clone () const
	Duplication (fonction abstraite)
Op�rateurs
AdaptiveLeaf &	operator= (const AdaptiveLeaf &ad)
Fonctions de base
virtual void	getVectors (AdapDescr &ad, Learner &learner, const std::list< Clique * > &cliques, int cycle, int &cur_cycle)
	R�cup�re une liste de cliques.
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 du modèle sur lrn et test avec tst.
virtual std::string	getDataBaseName (const std::string &prefix)
virtual double	prop (const Clique *)
	Propagation (r�ponse de l'Adaptive)
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 double	eval (const Clique *)
	Evaluation (confiance dans la r�ponse au point donn�)
virtual void	init ()
	Initialisation des parties adaptatives (fonction abstraite)
virtual bool	openFile (const std::string &basename="")
	Ouvre le(s) fichier(s) de sauvegardes des donn�es re�ues.
virtual void	closeFile ()
	Ferme le(s) fichier(s) de sauvegardes des donn�es re�ues.
virtual void	subFiles (const std::string &prefix, std::set< std::string > &listNames) const
	Donne la liste des fichiers sous le mod�le.
virtual double	errorRate () const
	Taux d'erreur d'apprentissage global.
virtual double	genErrorRate () const
	Taux d'erreur de g�n�ralisation.
virtual double	relianceWeight () const
virtual double	printDescription (Clique *cl, bool withnames)
	Calcule le potentiel et garde le(s) vecteur(s) de description.
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 m�mo...)
Statistiques (pour normaliser les entr�es)
virtual void	resetStats ()
	Vide toutes les stats.
virtual void	trainStats (Learner &learner, const std::list< Clique * > &cliques)
	Ajout � la base de statistiques.
virtual void	centerAndReduce (std::vector< double > &vec)
	center and reduce vector according to _mean and _std
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	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 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 TopModel *	topModel ()
	Donne la base de l'arborescence (TopModel, s'il y en a)
virtual const TopModel *	topModel () const
virtual carto::AttributedObject *	graphObject ()
	Donne l'élément parent du graphe modèle.
virtual const carto::AttributedObject *	graphObject () const

Acc�s aux donn�es
SubAdaptive *	_work
	El�ment efficace.
SubAdaptive *	_eval
	El�ment d'�valuation.
CliqueDescr *	_cliqueDescr
	Descripteur de clique.
State	_lrnState
	Etat de l'apprentissage.
SubAdaptive *	_workMemo
	Memorisation des SubAdap.
SubAdaptive *	_evalMemo
unsigned	_ndataMemo
	M�morisation du nombre de donn�es apprises.
DimReductor *	_dimreductor
	dimension reduction element
Optimizer *	_optimizer
	optimizer element
std::vector< float >	_mean
	mean of database vectors
std::vector< float >	_std
	standard deviation of database vectors
AdapDescr *	getAdapDescr (void)
	Renvoit le descripteur adaptatif du mod�le s'il existe ou NULL.
SubAdaptive &	workEl () const
	Acc�s � l'�l�ment efficace (qui donne la sortie utile)
const DimReductor *	dimreductor () const
	Return Dimension Reductor element definition.
const Optimizer &	optimizer () const
	Return Optimizer definition (parmeters, ranges, scale)
void	setWorkEl (SubAdaptive *work)
	Set work element (no copy), old one is deleted if needed.
const std::vector< float > &	getMean (void) const
	Get database mean vector.
const std::vector< float > &	getStd (void) const
	Get database std vector.
void	setDimReductor (DimReductor *dimreductor)
void	setOptimizer (Optimizer *opt)
SubAdaptive *	workMemoEl () const
SubAdaptive &	evalEl ()
	Acc�s � l'�l�ment d'�valuation.
const SubAdaptive &	evalEl () const
	Acc�s � l'�l�ment d'�valuation, version const.
void	setWork (const SubAdaptive &w)
	Remplacement de l'�l�ment efficace.
void	setEval (const SubAdaptive &e)
	Remplacament de l'�l�ment d'�valuation.
void	setWorkMemo (const SubAdaptive &w)
	Remplacement de l'�l�ment efficace m�moris�
void	setEvalMemo (const SubAdaptive &e)
	Remplacament de l'�l�ment d'�valuation m�moris�
const CliqueDescr &	cliqueDescr () const
CliqueDescr &	cliqueDescr ()
void	setCliqueDescr (CliqueDescr *cd)
void	setMean (const std::vector< float > &mean)
	Set database mean vector.
void	setStd (const std::vector< float > &std)
	Set database standard deviation vector.
void	buildTree (Tree &tr) const
	Conversion en arbre (pour IO)
virtual void	setBaseName (const std::string &basename)
virtual void	memorize ()
	M�morisation des mod�les.
virtual void	revert ()
	Retour aux mod�les m�moris�s.
State	learnState () const
void	setLearnState (State s)
unsigned	nDataMemo () const
void	setNDataMemo (unsigned n)
void	update (sigraph::AdaptiveLeaf &ad)
	Update internal values (including work element, learning state) from an other adaptiveleaf.

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

Detailed Description

El�ment adaptatif terminal.

Definition at line 27 of file adaptiveLeaf.h.

Member Enumeration Documentation

State

enum sigraph::AdaptiveLeaf::State

Etat d'apprentissage.

Enumerator
LEARNING
STOPPABLE
STOPPED

Definition at line 31 of file adaptiveLeaf.h.

Constructor & Destructor Documentation

AdaptiveLeaf() [1/2]

sigraph::AdaptiveLeaf::AdaptiveLeaf	(	const CliqueDescr *	cd = 0,
		const SubAdaptive *	work = 0,
		const SubAdaptive *	eval = 0 )

References AdaptiveLeaf(), and eval().

Referenced by AdaptiveLeaf(), AdaptiveLeaf(), clone(), operator=(), and ~AdaptiveLeaf().

AdaptiveLeaf() [2/2]

sigraph::AdaptiveLeaf::AdaptiveLeaf ( const AdaptiveLeaf & ad )

inline

Definition at line 197 of file adaptiveLeaf.h.

References _cliqueDescr, _dimreductor, _eval, _evalMemo, _lrnState, _ndataMemo, _optimizer, _work, _workMemo, sigraph::Adaptive::Adaptive(), AdaptiveLeaf(), and clone().

~AdaptiveLeaf()

virtual sigraph::AdaptiveLeaf::~AdaptiveLeaf ( )

virtual

References AdaptiveLeaf().

Member Function Documentation

buildTree()

void sigraph::AdaptiveLeaf::buildTree ( Tree & tr ) const

virtual

Conversion en arbre (pour IO)

Reimplemented from sigraph::Adaptive.

centerAndReduce()

virtual void sigraph::AdaptiveLeaf::centerAndReduce ( std::vector< double > & vec )

virtual

center and reduce vector according to _mean and _std

Referenced by eval(), and prop().

checkLearnFinished()

virtual bool sigraph::AdaptiveLeaf::checkLearnFinished ( )

virtual

fonction non-const pcq elle peut positionner le flag

Reimplemented from sigraph::Adaptive.

cliqueDescr() [1/2]

CliqueDescr & sigraph::AdaptiveLeaf::cliqueDescr ( )

inline

Definition at line 143 of file adaptiveLeaf.h.

References _cliqueDescr.

cliqueDescr() [2/2]

const CliqueDescr & sigraph::AdaptiveLeaf::cliqueDescr ( ) const

inline

Definition at line 142 of file adaptiveLeaf.h.

References _cliqueDescr.

clone()

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

inlinevirtual

Duplication (fonction abstraite)

Implements sigraph::Adaptive.

Definition at line 211 of file adaptiveLeaf.h.

References AdaptiveLeaf().

Referenced by AdaptiveLeaf().

closeFile()

virtual void sigraph::AdaptiveLeaf::closeFile ( )

virtual

Ferme le(s) fichier(s) de sauvegardes des donn�es re�ues.

Reimplemented from sigraph::Model.

dimreductor()

const DimReductor * sigraph::AdaptiveLeaf::dimreductor ( ) const

inline

Return Dimension Reductor element definition.

Definition at line 113 of file adaptiveLeaf.h.

References _dimreductor.

Referenced by eval(), prop(), and setDimReductor().

doesOutputChange()

virtual bool sigraph::AdaptiveLeaf::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.

errorRate()

virtual double sigraph::AdaptiveLeaf::errorRate ( ) const

inlinevirtual

Taux d'erreur d'apprentissage global.

Implements sigraph::Adaptive.

Definition at line 81 of file adaptiveLeaf.h.

References _work.

Referenced by eval().

eval()

double sigraph::AdaptiveLeaf::eval ( const Clique * cl )

inlinevirtual

Evaluation (confiance dans la r�ponse au point donn�)

Implements sigraph::Adaptive.

Definition at line 285 of file adaptiveLeaf.h.

References _cliqueDescr, _eval, centerAndReduce(), dimreductor(), errorRate(), sigraph::Model::graphObject(), and sigraph::DimReductor::transform().

Referenced by AdaptiveLeaf().

evalEl() [1/2]

SubAdaptive & sigraph::AdaptiveLeaf::evalEl ( )

inline

Acc�s � l'�l�ment d'�valuation.

Definition at line 131 of file adaptiveLeaf.h.

References _eval.

evalEl() [2/2]

const SubAdaptive & sigraph::AdaptiveLeaf::evalEl ( ) const

inline

Acc�s � l'�l�ment d'�valuation, version const.

Definition at line 133 of file adaptiveLeaf.h.

References _eval.

forceLearnFinished()

virtual void sigraph::AdaptiveLeaf::forceLearnFinished ( )

virtual

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

Reimplemented from sigraph::Adaptive.

generateDataBase()

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

virtual

Apprentissage du modèle sur lrn et test avec tst.

Parameters

lrn	Ensemble d'apprentissage
tst	Ensemble de test

Returns

Taux de reconnaissance du modèle appris sur la base de test

Implements sigraph::Adaptive.

genErrorRate()

virtual double sigraph::AdaptiveLeaf::genErrorRate ( ) const

inlinevirtual

Taux d'erreur de g�n�ralisation.

Implements sigraph::Adaptive.

Definition at line 83 of file adaptiveLeaf.h.

References _work.

getAdapDescr()

AdapDescr * sigraph::AdaptiveLeaf::getAdapDescr

(

void

)

Renvoit le descripteur adaptatif du mod�le s'il existe ou NULL.

getDataBaseName()

virtual std::string sigraph::AdaptiveLeaf::getDataBaseName ( const std::string & prefix )

virtual

getMean()

const std::vector< float > & sigraph::AdaptiveLeaf::getMean ( void ) const

inline

Get database mean vector.

Definition at line 124 of file adaptiveLeaf.h.

References _mean.

getStd()

const std::vector< float > & sigraph::AdaptiveLeaf::getStd ( void ) const

inline

Get database std vector.

Definition at line 126 of file adaptiveLeaf.h.

References _std.

getVectors()

virtual void sigraph::AdaptiveLeaf::getVectors ( AdapDescr & ad, Learner & learner, const std::list< Clique * > & cliques, int cycle, int & cur_cycle )

virtual

R�cup�re une liste de cliques.

init()

virtual void sigraph::AdaptiveLeaf::init ( )

virtual

Initialisation des parties adaptatives (fonction abstraite)

Reimplemented from sigraph::Adaptive.

learnState()

State sigraph::AdaptiveLeaf::learnState ( ) const

inline

Definition at line 159 of file adaptiveLeaf.h.

References _lrnState.

memorize()

virtual void sigraph::AdaptiveLeaf::memorize ( )

virtual

M�morisation des mod�les.

nDataMemo()

unsigned sigraph::AdaptiveLeaf::nDataMemo ( ) const

inline

Definition at line 161 of file adaptiveLeaf.h.

References _ndataMemo.

openFile()

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

virtual

Ouvre le(s) fichier(s) de sauvegardes des donn�es re�ues.

Reimplemented from sigraph::Model.

operator=()

AdaptiveLeaf & sigraph::AdaptiveLeaf::operator= ( const AdaptiveLeaf & ad )

inline

Definition at line 217 of file adaptiveLeaf.h.

References _cliqueDescr, _dimreductor, _eval, _evalMemo, _lrnState, _ndataMemo, _optimizer, _work, _workMemo, AdaptiveLeaf(), sigraph::CliqueDescr::clone(), sigraph::DimReductor::clone(), sigraph::Optimizer::clone(), and sigraph::SubAdaptive::clone().

optimizer()

const Optimizer & sigraph::AdaptiveLeaf::optimizer ( ) const

inline

Return Optimizer definition (parmeters, ranges, scale)

Definition at line 115 of file adaptiveLeaf.h.

References _optimizer.

Referenced by setOptimizer().

printDescription()

virtual double sigraph::AdaptiveLeaf::printDescription ( Clique * cl, bool withnames )

virtual

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

Reimplemented from sigraph::Model.

prop()

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

inlinevirtual

Propagation (r�ponse de l'Adaptive)

Implements sigraph::Model.

Definition at line 238 of file adaptiveLeaf.h.

References _cliqueDescr, _work, centerAndReduce(), dimreductor(), sigraph::Model::graphObject(), sigraph::TopModel::mGraph(), SIA_NBASEGRAPHS, SIA_NOINSTANCE_COUNT, sigraph::Model::topModel(), sigraph::DimReductor::transform(), and sigraph::TopModel::weight().

relianceWeight()

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

inlinevirtual

Implements sigraph::Adaptive.

Definition at line 85 of file adaptiveLeaf.h.

References _work.

resetStats()

virtual void sigraph::AdaptiveLeaf::resetStats ( )

virtual

Vide toutes les stats.

Implements sigraph::Adaptive.

revert()

virtual void sigraph::AdaptiveLeaf::revert ( )

virtual

Retour aux mod�les m�moris�s.

setBaseName()

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

virtual

Reimplemented from sigraph::Model.

setCliqueDescr()

void sigraph::AdaptiveLeaf::setCliqueDescr ( CliqueDescr * cd )

inline

Definition at line 344 of file adaptiveLeaf.h.

References _cliqueDescr.

setDimReductor()

void sigraph::AdaptiveLeaf::setDimReductor ( DimReductor * dimreductor )

inline

Definition at line 350 of file adaptiveLeaf.h.

References _dimreductor, and dimreductor().

setEval()

void sigraph::AdaptiveLeaf::setEval ( const SubAdaptive & e )

inline

Remplacament de l'�l�ment d'�valuation.

Definition at line 323 of file adaptiveLeaf.h.

References _eval, and sigraph::SubAdaptive::clone().

setEvalMemo()

void sigraph::AdaptiveLeaf::setEvalMemo ( const SubAdaptive & e )

inline

Remplacament de l'�l�ment d'�valuation m�moris�

Definition at line 337 of file adaptiveLeaf.h.

References _evalMemo, and sigraph::SubAdaptive::clone().

setLearnState()

void sigraph::AdaptiveLeaf::setLearnState

(

State

s

)

setMean()

void sigraph::AdaptiveLeaf::setMean ( const std::vector< float > & mean )

inline

Set database mean vector.

Definition at line 146 of file adaptiveLeaf.h.

References _mean.

setNDataMemo()

void sigraph::AdaptiveLeaf::setNDataMemo ( unsigned n )

inline

Definition at line 162 of file adaptiveLeaf.h.

References _ndataMemo.

setOptimizer()

void sigraph::AdaptiveLeaf::setOptimizer ( Optimizer * opt )

inline

Definition at line 356 of file adaptiveLeaf.h.

References _optimizer, and optimizer().

setStd()

void sigraph::AdaptiveLeaf::setStd ( const std::vector< float > & std )

inline

Set database standard deviation vector.

Definition at line 148 of file adaptiveLeaf.h.

References _std.

setWork()

void sigraph::AdaptiveLeaf::setWork ( const SubAdaptive & w )

inline

Remplacement de l'�l�ment efficace.

Definition at line 316 of file adaptiveLeaf.h.

References _work, and sigraph::SubAdaptive::clone().

setWorkEl()

void sigraph::AdaptiveLeaf::setWorkEl ( SubAdaptive * work )

inline

Set work element (no copy), old one is deleted if needed.

Definition at line 117 of file adaptiveLeaf.h.

References _work.

setWorkMemo()

void sigraph::AdaptiveLeaf::setWorkMemo ( const SubAdaptive & w )

inline

Remplacement de l'�l�ment efficace m�moris�

Definition at line 330 of file adaptiveLeaf.h.

References _workMemo, and sigraph::SubAdaptive::clone().

subFiles()

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

virtual

Donne la liste des fichiers sous le mod�le.

Reimplemented from sigraph::Model.

trainStats()

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

virtual

Ajout � la base de statistiques.

Implements sigraph::Adaptive.

update()

void sigraph::AdaptiveLeaf::update

(

sigraph::AdaptiveLeaf &

ad

)

Update internal values (including work element, learning state) from an other adaptiveleaf.

workEl()

SubAdaptive & sigraph::AdaptiveLeaf::workEl ( ) const

inline

Acc�s � l'�l�ment efficace (qui donne la sortie utile)

Definition at line 111 of file adaptiveLeaf.h.

References _work.

workMemoEl()

SubAdaptive * sigraph::AdaptiveLeaf::workMemoEl ( ) const

inline

Definition at line 129 of file adaptiveLeaf.h.

References _workMemo.

Member Data Documentation

_cliqueDescr

CliqueDescr* sigraph::AdaptiveLeaf::_cliqueDescr

protected

Descripteur de clique.

Definition at line 173 of file adaptiveLeaf.h.

Referenced by AdaptiveLeaf(), cliqueDescr(), cliqueDescr(), eval(), operator=(), prop(), and setCliqueDescr().

_dimreductor

DimReductor* sigraph::AdaptiveLeaf::_dimreductor

protected

dimension reduction element

Definition at line 182 of file adaptiveLeaf.h.

Referenced by AdaptiveLeaf(), dimreductor(), operator=(), and setDimReductor().

_eval

SubAdaptive* sigraph::AdaptiveLeaf::_eval

protected

El�ment d'�valuation.

Definition at line 171 of file adaptiveLeaf.h.

Referenced by AdaptiveLeaf(), eval(), evalEl(), evalEl(), operator=(), and setEval().

_evalMemo

SubAdaptive* sigraph::AdaptiveLeaf::_evalMemo

protected

Definition at line 178 of file adaptiveLeaf.h.

Referenced by AdaptiveLeaf(), operator=(), and setEvalMemo().

_lrnState

State sigraph::AdaptiveLeaf::_lrnState

protected

Etat de l'apprentissage.

Definition at line 175 of file adaptiveLeaf.h.

Referenced by AdaptiveLeaf(), learnState(), and operator=().

_mean

std::vector<float> sigraph::AdaptiveLeaf::_mean

protected

mean of database vectors

Definition at line 186 of file adaptiveLeaf.h.

Referenced by getMean(), and setMean().

_ndataMemo

unsigned sigraph::AdaptiveLeaf::_ndataMemo

protected

M�morisation du nombre de donn�es apprises.

Definition at line 180 of file adaptiveLeaf.h.

Referenced by AdaptiveLeaf(), nDataMemo(), operator=(), and setNDataMemo().

_optimizer

Optimizer* sigraph::AdaptiveLeaf::_optimizer

protected

optimizer element

Definition at line 184 of file adaptiveLeaf.h.

Referenced by AdaptiveLeaf(), operator=(), optimizer(), and setOptimizer().

_std

std::vector<float> sigraph::AdaptiveLeaf::_std

protected

standard deviation of database vectors

Definition at line 188 of file adaptiveLeaf.h.

Referenced by getStd(), and setStd().

_work

SubAdaptive* sigraph::AdaptiveLeaf::_work

protected

El�ment efficace.

Definition at line 169 of file adaptiveLeaf.h.

Referenced by AdaptiveLeaf(), errorRate(), genErrorRate(), operator=(), prop(), relianceWeight(), setWork(), setWorkEl(), and workEl().

_workMemo

SubAdaptive* sigraph::AdaptiveLeaf::_workMemo

protected

Memorisation des SubAdap.

Definition at line 177 of file adaptiveLeaf.h.

Referenced by AdaptiveLeaf(), operator=(), setWorkMemo(), and workMemoEl().

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

• si/model/adaptiveLeaf.h