gum::prm::PRMInference< GUM_SCALAR > Class Template Reference

This abstract class is used as base class for all inference class on PRM<GUM_SCALAR>. More...

#include <agrum/PRM/PRMInference.h>

Inheritance diagram for gum::prm::PRMInference< GUM_SCALAR >:

Collaboration diagram for gum::prm::PRMInference< GUM_SCALAR >:

Public Types
using	Chain = std::pair< const PRMInstance< GUM_SCALAR >*, const PRMAttribute< GUM_SCALAR >* >
	Code alias.
using	EMap = NodeProperty< const Tensor< GUM_SCALAR >* >
	Code alias.
using	EMapIterator = typename NodeProperty< const Tensor< GUM_SCALAR >* >::iterator_safe
	Code alias.
using	EMapConstIterator
	Code alias.

Public Member Functions
Constructor & destructor.
	PRMInference (const PRM< GUM_SCALAR > &prm, const PRMSystem< GUM_SCALAR > &system)
	Default constructor.
	PRMInference (const PRMInference &source)
	Copy constructor.
virtual	~PRMInference ()
	Destructor.
PRMInference &	operator= (const PRMInference &source)
	Copy operator.
Getters & setters.
virtual std::string	name () const =0
	Returns the name of the current inference algorithm.
Query methods.
void	posterior (const Chain &chain, Tensor< GUM_SCALAR > &m)
	Compute the posterior of the formal attribute pointed by chain and stores it in m.
void	joint (const std::vector< Chain > &chains, Tensor< GUM_SCALAR > &j)
	Compute the joint probability of the formals attributes pointed by chains and stores it in m.
Evidence handling.
EMap &	evidence (const PRMInstance< GUM_SCALAR > &i)
	Returns EMap of evidences over i.
EMap &	evidence (const PRMInstance< GUM_SCALAR > *i)
	Returns EMap of evidences over i.
const EMap &	evidence (const PRMInstance< GUM_SCALAR > &i) const
	Returns EMap of evidences over i.
const EMap &	evidence (const PRMInstance< GUM_SCALAR > *i) const
	Returns EMap of evidences over i.
bool	hasEvidence (const PRMInstance< GUM_SCALAR > &i) const
	Returns true if i has evidence.
bool	hasEvidence (const PRMInstance< GUM_SCALAR > *i) const
	Returns EMap of evidences over i.
bool	hasEvidence (const Chain &chain) const
	Returns true if i has evidence on PRMAttribute<GUM_SCALAR> a.
bool	hasEvidence () const
	Returns true if i has evidence on PRMAttribute<GUM_SCALAR> a.
void	addEvidence (const Chain &chain, const Tensor< GUM_SCALAR > &p)
	Add an evidence to the given instance's elt.
void	removeEvidence (const Chain &chain)
	Remove evidence on the given instance's elt.
void	clearEvidence ()
	Remove all evidences.

Private evidence handling methods and members.
using	EvidenceIterator
	Code alias.
using	EvidenceConstIterator
	Code alias.
HashTable< const PRMInstance< GUM_SCALAR > *, EMap * >	_evidences_
	Mapping of evidence over PRMInstance<GUM_SCALAR>'s nodes.
EMap &	_EMap_ (const PRMInstance< GUM_SCALAR > *i)
	Private getter over evidences, if necessary creates an EMap for i.

Protected members.
PRM< GUM_SCALAR > const *	prm_
	The PRM<GUM_SCALAR> on which inference is done.
PRMSystem< GUM_SCALAR > const *	sys_
	The Model on which inference is done.
virtual void	evidenceAdded_ (const Chain &chain)=0
	This method is called whenever an evidence is added, but AFTER any processing made by PRMInference.
virtual void	evidenceRemoved_ (const Chain &chain)=0
	This method is called whenever an evidence is removed, but BEFORE any processing made by PRMInference.
virtual void	posterior_ (const Chain &chain, Tensor< GUM_SCALAR > &m)=0
	Generic method to compute the posterior of given element.
virtual void	joint_ (const std::vector< Chain > &queries, Tensor< GUM_SCALAR > &j)=0
	Generic method to compute the posterior of given element.

Detailed Description

template<GUM_Numeric GUM_SCALAR>
class gum::prm::PRMInference< GUM_SCALAR >

This abstract class is used as base class for all inference class on PRM<GUM_SCALAR>.

The main purpose of this class is to give a common interface between all inference algorithms and to handle evidences.

Definition at line 68 of file PRMInference.h.

Member Typedef Documentation

Chain

template<GUM_Numeric GUM_SCALAR>

using gum::prm::PRMInference< GUM_SCALAR >::Chain = std::pair< const PRMInstance< GUM_SCALAR >*, const PRMAttribute< GUM_SCALAR >* >

Code alias.

Definition at line 71 of file PRMInference.h.

EMap

template<GUM_Numeric GUM_SCALAR>

using gum::prm::PRMInference< GUM_SCALAR >::EMap = NodeProperty< const Tensor< GUM_SCALAR >* >

Code alias.

Definition at line 74 of file PRMInference.h.

EMapConstIterator

template<GUM_Numeric GUM_SCALAR>

using gum::prm::PRMInference< GUM_SCALAR >::EMapConstIterator

Initial value:

 
typename NodeProperty< const Tensor< GUM_SCALAR >* >::const_iterator_safe

Code alias.

Definition at line 80 of file PRMInference.h.

EMapIterator

template<GUM_Numeric GUM_SCALAR>

using gum::prm::PRMInference< GUM_SCALAR >::EMapIterator = typename NodeProperty< const Tensor< GUM_SCALAR >* >::iterator_safe

Code alias.

Definition at line 77 of file PRMInference.h.

EvidenceConstIterator

template<GUM_Numeric GUM_SCALAR>

using gum::prm::PRMInference< GUM_SCALAR >::EvidenceConstIterator

private

Initial value:

 
typename HashTable< const PRMInstance< GUM_SCALAR >*, EMap* >::const_iterator_safe

Code alias.

Definition at line 241 of file PRMInference.h.

EvidenceIterator

template<GUM_Numeric GUM_SCALAR>

using gum::prm::PRMInference< GUM_SCALAR >::EvidenceIterator

private

Initial value:

 
typename HashTable< const PRMInstance< GUM_SCALAR >*, EMap* >::iterator_safe

Code alias.

Definition at line 238 of file PRMInference.h.

Constructor & Destructor Documentation

PRMInference() [1/2]

template<GUM_Numeric GUM_SCALAR>

gum::prm::PRMInference< GUM_SCALAR >::PRMInference	(	const PRM< GUM_SCALAR > &	prm,
		const PRMSystem< GUM_SCALAR > &	system )

Default constructor.

Definition at line 159 of file PRMInference_tpl.h.

                                                                                    :
        prm_(&prm), sys_(&system) {
      GUM_CONSTRUCTOR(PRMInference);
    }

References PRMInference(), prm_, and sys_.

Referenced by gum::prm::GroundedInference< GUM_SCALAR >::GroundedInference(), gum::prm::GroundedInference< GUM_SCALAR >::GroundedInference(), PRMInference(), PRMInference(), gum::prm::StructuredInference< GUM_SCALAR >::StructuredInference(), gum::prm::StructuredInference< GUM_SCALAR >::StructuredInference(), gum::prm::SVE< GUM_SCALAR >::SVE(), gum::prm::SVED< GUM_SCALAR >::SVED(), ~PRMInference(), evidence(), and operator=().

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PRMInference() [2/2]

template<GUM_Numeric GUM_SCALAR>

gum::prm::PRMInference< GUM_SCALAR >::PRMInference

(

const PRMInference< GUM_SCALAR > &

source

)

Copy constructor.

Definition at line 69 of file PRMInference_tpl.h.

                                                                                     :
        prm_(source.prm_), sys_(source.sys_) {
      GUM_CONS_CPY(PRMInference);
 
      for (const auto& elt: source._evidences_) {
        _evidences_.insert(elt.first, new PRMInference< GUM_SCALAR >::EMap());
 
        for (const auto& elt2: *elt.second) {
          Tensor< GUM_SCALAR >* e = new Tensor< GUM_SCALAR >();
          e->add(*(elt2.second->variablesSequence().front()));
          Instantiation i(*e);
 
          for (i.setFirst(); !i.end(); i.inc())
            e->set(i, elt2.second->get(i));
 
          _evidences_[elt.first]->insert(elt2.first, e);
        }
      }
    }

References PRMInference(), _evidences_, gum::Instantiation::end(), gum::Instantiation::inc(), prm_, gum::Instantiation::setFirst(), and sys_.

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~PRMInference()

template<GUM_Numeric GUM_SCALAR>

gum::prm::PRMInference< GUM_SCALAR >::~PRMInference ( )

virtual

Destructor.

Definition at line 166 of file PRMInference_tpl.h.

                                              {
      GUM_DESTRUCTOR(PRMInference);
      clearEvidence();
    }

References PRMInference(), and clearEvidence().

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Member Function Documentation

_EMap_()

template<GUM_Numeric GUM_SCALAR>

PRMInference< GUM_SCALAR >::EMap & gum::prm::PRMInference< GUM_SCALAR >::_EMap_ ( const PRMInstance< GUM_SCALAR > * i )

private

Private getter over evidences, if necessary creates an EMap for i.

Definition at line 117 of file PRMInference_tpl.h.

                                                                             {
      if (auto p = _evidences_.tryGet(i)) {
        return **p;
      } else {
        auto* emap = new PRMInference< GUM_SCALAR >::EMap();
        _evidences_.insert(i, emap);
        return *emap;
      }
    }

References _evidences_.

Referenced by removeEvidence().

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addEvidence()

template<GUM_Numeric GUM_SCALAR>

void gum::prm::PRMInference< GUM_SCALAR >::addEvidence	(	const Chain &	chain,
		const Tensor< GUM_SCALAR > &	p )

Add an evidence to the given instance's elt.

Parameters

chain	The variable being observed.
p	The Tensor added (by copy) as evidence.

Exceptions

NotFound	Raised if elt does not belong to i.
OperationNotAllowed	Raised if p is inconsistent with elt.

Definition at line 128 of file PRMInference_tpl.h.

                                                                                {
      if (chain.first->exists(chain.second->id())) {
        if ((p.nbrDim() != 1) || (!p.contains(chain.second->type().variable())))
          GUM_ERROR(OperationNotAllowed, "illegal evidence for the given PRMAttribute.")
 
        Tensor< GUM_SCALAR >* e = new Tensor< GUM_SCALAR >();
        e->add(chain.second->type().variable());
        Instantiation i(*e);
 
        for (i.setFirst(); !i.end(); i.inc())
          e->set(i, p.get(i));
 
        PRMInference< GUM_SCALAR >::EMap& emap = _EMap_(chain.first);
 
        if (emap.exists(chain.second->id())) {
          delete emap[chain.second->id()];
          emap[chain.second->id()] = e;
        } else {
          emap.insert(chain.second->id(), e);
        }
 
        evidenceAdded_(chain);
      } else {
        GUM_ERROR(NotFound,
                  "the given PRMAttribute does not belong to this "
                  "Instance<GUM_SCALAR>.");
      }
    }

References gum::Instantiation::end(), GUM_ERROR, gum::Instantiation::inc(), and gum::Instantiation::setFirst().

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clearEvidence()

template<GUM_Numeric GUM_SCALAR>

void gum::prm::PRMInference< GUM_SCALAR >::clearEvidence

(

)

Remove all evidences.

Definition at line 57 of file PRMInference_tpl.h.

                                                   {
      for (const auto& elt: _evidences_) {
        for (const auto& elt2: *elt.second)
          delete elt2.second;
 
        delete elt.second;
      }
 
      _evidences_.clear();
    }

References _evidences_.

Referenced by ~PRMInference(), and operator=().

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evidence() [1/4]

template<GUM_Numeric GUM_SCALAR>

PRMInference< GUM_SCALAR >::EMap & gum::prm::PRMInference< GUM_SCALAR >::evidence

(

const PRMInstance< GUM_SCALAR > &

i

)

Returns EMap of evidences over i.

Exceptions

NotFound

if i has no evidence.

Definition at line 173 of file PRMInference_tpl.h.

                                                                               {
      if (!_evidences_.exists(&i)) GUM_ERROR(NotFound, "this instance has no evidence.")
      return *(_evidences_[&i]);
    }

References _evidences_, and GUM_ERROR.

Referenced by gum::prm::SVE< GUM_SCALAR >::_eliminateNodesWithEvidence_(), gum::prm::SVED< GUM_SCALAR >::_eliminateNodesWithEvidence_(), gum::prm::SVE< GUM_SCALAR >::_insertEvidence_(), gum::prm::SVED< GUM_SCALAR >::_insertEvidence_(), gum::prm::StructuredInference< GUM_SCALAR >::_reduceAloneInstances_(), evidence(), gum::prm::GroundedInference< GUM_SCALAR >::evidenceAdded_(), hasEvidence(), posterior(), and gum::prm::StructuredInference< GUM_SCALAR >::posterior_().

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evidence() [2/4]

template<GUM_Numeric GUM_SCALAR>

const PRMInference< GUM_SCALAR >::EMap & gum::prm::PRMInference< GUM_SCALAR >::evidence

(

const PRMInstance< GUM_SCALAR > &

i

)

const

Returns EMap of evidences over i.

Exceptions

NotFound

if i has no evidence.

Definition at line 180 of file PRMInference_tpl.h.

                                                                                     {
      if (!_evidences_.exists(&i)) GUM_ERROR(NotFound, "this instance has no evidence.")
      return *(_evidences_[&i]);
    }

References _evidences_, and GUM_ERROR.

evidence() [3/4]

template<GUM_Numeric GUM_SCALAR>

PRMInference< GUM_SCALAR >::EMap & gum::prm::PRMInference< GUM_SCALAR >::evidence

(

const PRMInstance< GUM_SCALAR > *

i

)

Returns EMap of evidences over i.

Exceptions

NotFound

if i has no evidence.

Definition at line 187 of file PRMInference_tpl.h.

                                                                               {
      if (!_evidences_.exists(i)) GUM_ERROR(NotFound, "this instance has no evidence.")
      return *(_evidences_[i]);
    }

References PRMInference(), _evidences_, evidence(), and GUM_ERROR.

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evidence() [4/4]

template<GUM_Numeric GUM_SCALAR>

const PRMInference< GUM_SCALAR >::EMap & gum::prm::PRMInference< GUM_SCALAR >::evidence

(

const PRMInstance< GUM_SCALAR > *

i

)

const

Returns EMap of evidences over i.

Exceptions

NotFound

if i has no evidence.

Definition at line 194 of file PRMInference_tpl.h.

                                                                                     {
      if (!_evidences_.exists(i)) GUM_ERROR(NotFound, "this instance has no evidence.")
      return *(_evidences_[i]);
    }

References _evidences_, and GUM_ERROR.

evidenceAdded_()

template<GUM_Numeric GUM_SCALAR>

virtual void gum::prm::PRMInference< GUM_SCALAR >::evidenceAdded_ ( const Chain & chain )

protectedpure virtual

This method is called whenever an evidence is added, but AFTER any processing made by PRMInference.

Implemented in gum::prm::SVE< GUM_SCALAR >, and gum::prm::SVED< GUM_SCALAR >.

evidenceRemoved_()

template<GUM_Numeric GUM_SCALAR>

virtual void gum::prm::PRMInference< GUM_SCALAR >::evidenceRemoved_ ( const Chain & chain )

protectedpure virtual

This method is called whenever an evidence is removed, but BEFORE any processing made by PRMInference.

Implemented in gum::prm::SVE< GUM_SCALAR >, and gum::prm::SVED< GUM_SCALAR >.

Referenced by removeEvidence().

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hasEvidence() [1/4]

template<GUM_Numeric GUM_SCALAR>

bool gum::prm::PRMInference< GUM_SCALAR >::hasEvidence

(

)

const

Returns true if i has evidence on PRMAttribute<GUM_SCALAR> a.

Definition at line 215 of file PRMInference_tpl.h.

                                                       {
      return (_evidences_.size() != (Size)0);
    }

References _evidences_.

hasEvidence() [2/4]

template<GUM_Numeric GUM_SCALAR>

bool gum::prm::PRMInference< GUM_SCALAR >::hasEvidence

(

const Chain &

chain

)

const

Returns true if i has evidence on PRMAttribute<GUM_SCALAR> a.

Definition at line 210 of file PRMInference_tpl.h.

                                                                         {
      return (hasEvidence(chain.first)) ? evidence(chain.first).exists(chain.second->id()) : false;
    }

References evidence(), and hasEvidence().

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hasEvidence() [3/4]

template<GUM_Numeric GUM_SCALAR>

bool gum::prm::PRMInference< GUM_SCALAR >::hasEvidence

(

const PRMInstance< GUM_SCALAR > &

i

)

const

Returns true if i has evidence.

Definition at line 200 of file PRMInference_tpl.h.

                                                                                         {
      return _evidences_.exists(&i);
    }

References _evidences_.

Referenced by gum::prm::SVE< GUM_SCALAR >::_eliminateNodes_(), gum::prm::SVED< GUM_SCALAR >::_eliminateNodes_(), gum::prm::SVED< GUM_SCALAR >::_eliminateNodesDownward_(), gum::prm::SVED< GUM_SCALAR >::_eliminateNodesUpward_(), gum::prm::StructuredInference< GUM_SCALAR >::_insertNodeInElimLists_(), gum::prm::StructuredInference< GUM_SCALAR >::_reduceAloneInstances_(), gum::prm::SVE< GUM_SCALAR >::_variableElimination_(), hasEvidence(), posterior(), gum::prm::StructuredInference< GUM_SCALAR >::posterior_(), and removeEvidence().

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hasEvidence() [4/4]

template<GUM_Numeric GUM_SCALAR>

bool gum::prm::PRMInference< GUM_SCALAR >::hasEvidence

(

const PRMInstance< GUM_SCALAR > *

i

)

const

Returns EMap of evidences over i.

Definition at line 205 of file PRMInference_tpl.h.

                                                                                         {
      return _evidences_.exists(i);
    }

References _evidences_.

joint()

template<GUM_Numeric GUM_SCALAR>

void gum::prm::PRMInference< GUM_SCALAR >::joint	(	const std::vector< Chain > &	chains,
		Tensor< GUM_SCALAR > &	j )

Compute the joint probability of the formals attributes pointed by chains and stores it in m.

Parameters

chains	A Set of strings of the form instance.attribute.
j	An empty CPF which will be filed by the joint probability over chains.

Exceptions

NotFound	Raised if some chain in chains does not point to a formal attribute.
OperationNotAllowed	Raise if m is not empty.

Definition at line 257 of file PRMInference_tpl.h.

                                                                            {
      if (j.nbrDim() > 0) { GUM_ERROR(OperationNotAllowed, "the given Tensor is not empty.") }
 
      for (auto chain = chains.begin(); chain != chains.end(); ++chain) {
        j.add(chain->second->type().variable());
      }
 
      joint_(chains, j);
    }

References GUM_ERROR, and joint_().

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joint_()

template<GUM_Numeric GUM_SCALAR>

virtual void gum::prm::PRMInference< GUM_SCALAR >::joint_ ( const std::vector< Chain > & queries, Tensor< GUM_SCALAR > & j )

protectedpure virtual

Generic method to compute the posterior of given element.

Parameters

queries	Set of pairs of PRMInstance<GUM_SCALAR> and PRMAttribute<GUM_SCALAR>.
j	CPF filled with the joint probability of queries. It is initialized properly.

Implemented in gum::prm::SVE< GUM_SCALAR >, and gum::prm::SVED< GUM_SCALAR >.

Referenced by joint().

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name()

template<GUM_Numeric GUM_SCALAR>

virtual std::string gum::prm::PRMInference< GUM_SCALAR >::name ( ) const

pure virtual

Returns the name of the current inference algorithm.

Implemented in gum::prm::GroundedInference< GUM_SCALAR >, gum::prm::StructuredInference< GUM_SCALAR >, gum::prm::SVE< GUM_SCALAR >, and gum::prm::SVED< GUM_SCALAR >.

operator=()

template<GUM_Numeric GUM_SCALAR>

PRMInference< GUM_SCALAR > & gum::prm::PRMInference< GUM_SCALAR >::operator=

(

const PRMInference< GUM_SCALAR > &

source

)

Copy operator.

Definition at line 91 of file PRMInference_tpl.h.

                                                                                    {
      clearEvidence();
      prm_ = source.prm_;
      sys_ = source.sys_;
 
      for (const auto& elt: source._evidences_) {
        _evidences_.insert(elt.first, new PRMInference< GUM_SCALAR >::EMap());
 
        for (const auto& elt2: *elt.second) {
          Tensor< GUM_SCALAR >* e = new Tensor< GUM_SCALAR >();
          e->add(*(elt2.second->variablesSequence().front()));
          Instantiation i(*e);
 
          for (i.setFirst(); !i.end(); i.inc()) {
            e->set(i, elt2.second->get(i));
          }
 
          _evidences_[elt.first]->insert(elt2.first, e);
        }
      }
 
      return *this;
    }

References PRMInference(), clearEvidence(), prm_, and sys_.

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posterior()

template<GUM_Numeric GUM_SCALAR>

void gum::prm::PRMInference< GUM_SCALAR >::posterior	(	const Chain &	chain,
		Tensor< GUM_SCALAR > &	m )

Compute the posterior of the formal attribute pointed by chain and stores it in m.

Parameters

chain	A string of the form instance.attribute.
m	An empty CPF which will be filed by the posterior of chain.

Exceptions

NotFound	Raised if chain is invalid.
TypeError	Raised if chain does not point to an PRMAttribute<GUM_SCALAR>.
OperationNotAllowed	Raise if m is not empty.

Definition at line 231 of file PRMInference_tpl.h.

                                                             {
      if (m.nbrDim() > 0) { GUM_ERROR(OperationNotAllowed, "the given Tensor is not empty.") }
 
      if (hasEvidence(chain)) {
        m.add(chain.second->type().variable());
        const Tensor< GUM_SCALAR >& e = *(evidence(chain.first)[chain.second->id()]);
        Instantiation               i(m), j(e);
 
        for (i.setFirst(), j.setFirst(); !i.end(); i.inc(), j.inc())
          m.set(i, e.get(j));
      } else {
        if (chain.second != &(chain.first->get(chain.second->safeName()))) {
          typename PRMInference< GUM_SCALAR >::Chain good_chain
              = std::make_pair(chain.first, &(chain.first->get(chain.second->safeName())));
          m.add(good_chain.second->type().variable());
          posterior_(good_chain, m);
        } else {
          m.add(chain.second->type().variable());
          posterior_(chain, m);
        }
      }
    }

References gum::prm::PRMInstance< GUM_SCALAR >::end(), evidence(), GUM_ERROR, hasEvidence(), gum::Instantiation::inc(), and gum::Instantiation::setFirst().

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posterior_()

template<GUM_Numeric GUM_SCALAR>

virtual void gum::prm::PRMInference< GUM_SCALAR >::posterior_ ( const Chain & chain, Tensor< GUM_SCALAR > & m )

protectedpure virtual

Generic method to compute the posterior of given element.

Parameters

chain
m	CPF filled with the posterior of elt. It is initialized properly.

Implemented in gum::prm::SVE< GUM_SCALAR >, and gum::prm::SVED< GUM_SCALAR >.

removeEvidence()

template<GUM_Numeric GUM_SCALAR>

void gum::prm::PRMInference< GUM_SCALAR >::removeEvidence

(

const Chain &

chain

)

Remove evidence on the given instance's elt.

Parameters

chain

The variable being observed.

Exceptions

NotFound	Raised if the given names are not found.
TypeError	Raised if the elt is not an PRMAttribute<GUM_SCALAR>.

Definition at line 220 of file PRMInference_tpl.h.

                                                                      {
      if (hasEvidence(chain.first)) {
        if (_EMap_(chain.first).exists(chain.second->id())) {
          evidenceRemoved_(chain);
          delete _EMap_(chain.first)[chain.second->id()];
          _EMap_(chain.first).erase(chain.second->id());
        }
      }
    }

References _EMap_(), evidenceRemoved_(), and hasEvidence().

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Member Data Documentation

_evidences_

template<GUM_Numeric GUM_SCALAR>

HashTable< const PRMInstance< GUM_SCALAR >*, EMap* > gum::prm::PRMInference< GUM_SCALAR >::_evidences_

private

Mapping of evidence over PRMInstance<GUM_SCALAR>'s nodes.

Definition at line 245 of file PRMInference.h.

Referenced by PRMInference(), _EMap_(), clearEvidence(), evidence(), evidence(), evidence(), evidence(), hasEvidence(), hasEvidence(), and hasEvidence().

prm_

template<GUM_Numeric GUM_SCALAR>

PRM< GUM_SCALAR > const* gum::prm::PRMInference< GUM_SCALAR >::prm_

protected

The PRM<GUM_SCALAR> on which inference is done.

Definition at line 224 of file PRMInference.h.

Referenced by PRMInference(), PRMInference(), gum::prm::StructuredInference< GUM_SCALAR >::StructuredInference(), gum::prm::SVE< GUM_SCALAR >::_initElimOrder_(), gum::prm::SVED< GUM_SCALAR >::_initElimOrder_(), operator=(), and gum::prm::StructuredInference< GUM_SCALAR >::operator=().

sys_

template<GUM_Numeric GUM_SCALAR>

PRMSystem< GUM_SCALAR > const* gum::prm::PRMInference< GUM_SCALAR >::sys_

protected

The Model on which inference is done.

Definition at line 227 of file PRMInference.h.

Referenced by PRMInference(), PRMInference(), gum::prm::StructuredInference< GUM_SCALAR >::StructuredInference(), gum::prm::StructuredInference< GUM_SCALAR >::_reduceAloneInstances_(), operator=(), gum::prm::StructuredInference< GUM_SCALAR >::operator=(), and gum::prm::StructuredInference< GUM_SCALAR >::searchPatterns().

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

• agrum/PRM/inference/PRMInference.h
• agrum/PRM/inference/PRMInference_tpl.h