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

<agrum/PRM/groundedInference.h> More...

#include <groundedInference.h>

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

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

Public Member Functions
Constructor & destructor.
	GroundedInference (const PRM< GUM_SCALAR > &prm, const PRMSystem< GUM_SCALAR > &system)
	Default constructor. More...
virtual	~GroundedInference ()
	Destructor. More...
Getters & setters.
MarginalTargetedInference< GUM_SCALAR > &	getBNInference ()
	Returns the bayesnet inference engine used by this class. More...
void	setBNInference (MarginalTargetedInference< GUM_SCALAR > *bn_inf)
	Defines the bayesnet inference engine used by this class. More...
virtual std::string	name () const
	Returns the bayesnet inference engine used by this class. More...
Query methods.
void	posterior (const Chain &chain, Potential< GUM_SCALAR > &m)
	Compute the posterior of the formal attribute pointed by chain and stores it in m. More...
void	joint (const std::vector< Chain > &chains, Potential< GUM_SCALAR > &j)
	Compute the joint probability of the formals attributes pointed by chains and stores it in m. More...
Evidence handling.
EMap &	evidence (const PRMInstance< GUM_SCALAR > &i)
	Returns EMap of evidences over i. More...
EMap &	evidence (const PRMInstance< GUM_SCALAR > *i)
	Returns EMap of evidences over i. More...
const EMap &	evidence (const PRMInstance< GUM_SCALAR > &i) const
	Returns EMap of evidences over i. More...
const EMap &	evidence (const PRMInstance< GUM_SCALAR > *i) const
	Returns EMap of evidences over i. More...
bool	hasEvidence (const PRMInstance< GUM_SCALAR > &i) const
	Returns true if i has evidence. More...
bool	hasEvidence (const PRMInstance< GUM_SCALAR > *i) const
	Returns EMap of evidences over i. More...
bool	hasEvidence (const Chain &chain) const
	Returns true if i has evidence on PRMAttribute<GUM_SCALAR> a. More...
bool	hasEvidence () const
	Returns true if i has evidence on PRMAttribute<GUM_SCALAR> a. More...
void	addEvidence (const Chain &chain, const Potential< GUM_SCALAR > &p)
	Add an evidence to the given instance's elt. More...
void	removeEvidence (const Chain &chain)
	Remove evidence on the given instance's elt. More...
void	clearEvidence ()
	Remove all evidences. More...

Public Types
typedef std::pair< const PRMInstance< GUM_SCALAR > *, const PRMAttribute< GUM_SCALAR > *>	Chain
	Code alias. More...
typedef NodeProperty< const Potential< GUM_SCALAR > *>	EMap
	Code alias. More...
typedef NodeProperty< const Potential< GUM_SCALAR > *>::iterator_safe	EMapIterator
	Code alias. More...
typedef NodeProperty< const Potential< GUM_SCALAR > *>::const_iterator_safe	EMapConstIterator
	Code alias. More...

Protected Member Functions
Private evidence handling methods and members.
virtual void	evidenceAdded_ (const typename PRMInference< GUM_SCALAR >::Chain &chain)
	This method is called whenever an evidence is added, but AFTER any processing made by PRMInference. More...
virtual void	evidenceRemoved_ (const typename PRMInference< GUM_SCALAR >::Chain &chain)
	This method is called whenever an evidence is removed, but BEFORE any processing made by PRMInference. More...
virtual void	posterior_ (const typename PRMInference< GUM_SCALAR >::Chain &chain, Potential< GUM_SCALAR > &m)
	Generic method to compute the marginal of given element. More...
virtual void	joint_ (const std::vector< typename PRMInference< GUM_SCALAR >::Chain > &queries, Potential< GUM_SCALAR > &j)
	Generic method to compute the marginal of given element. More...

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

Detailed Description

template<typename GUM_SCALAR>
class gum::prm::GroundedInference< GUM_SCALAR >

<agrum/PRM/groundedInference.h>

This class is used to realise grounded inference in a PRM<GUM_SCALAR>.

The best way to build this class is to use the static creation methods.

Definition at line 46 of file groundedInference.h.

Member Typedef Documentation

Chain

template<typename GUM_SCALAR>

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

inherited

Code alias.

Definition at line 56 of file PRMInference.h.

EMap

template<typename GUM_SCALAR>

typedef NodeProperty< const Potential< GUM_SCALAR >* > gum::prm::PRMInference< GUM_SCALAR >::EMap

inherited

Code alias.

Definition at line 59 of file PRMInference.h.

EMapConstIterator

template<typename GUM_SCALAR>

typedef NodeProperty< const Potential< GUM_SCALAR >* >::const_iterator_safe gum::prm::PRMInference< GUM_SCALAR >::EMapConstIterator

inherited

Code alias.

Definition at line 68 of file PRMInference.h.

EMapIterator

template<typename GUM_SCALAR>

typedef NodeProperty< const Potential< GUM_SCALAR >* >::iterator_safe gum::prm::PRMInference< GUM_SCALAR >::EMapIterator

inherited

Code alias.

Definition at line 64 of file PRMInference.h.

Constructor & Destructor Documentation

GroundedInference() [1/2]

template<typename GUM_SCALAR >

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

Default constructor.

Definition at line 88 of file groundedInference_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                              :
        PRMInference< GUM_SCALAR >(prm, system),
        inf__(0) {
      GUM_CONSTRUCTOR(GroundedInference);
    }

Here is the call graph for this function:

~GroundedInference()

template<typename GUM_SCALAR >

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

virtual

Destructor.

Definition at line 35 of file groundedInference_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                        {
      GUM_DESTRUCTOR(GroundedInference);

      if (inf__ != nullptr) delete inf__;

      if (!obs__.empty())
        for (const auto pot: obs__)
          // We used const ptrs only because of
          // MarginalTargetedInference::addEvidence()
          // requires it
          delete const_cast< Potential< GUM_SCALAR >* >(pot);
    }

Here is the call graph for this function:

GroundedInference() [2/2]

template<typename GUM_SCALAR >

INLINE gum::prm::GroundedInference< GUM_SCALAR >::GroundedInference ( const GroundedInference< GUM_SCALAR > &  source )

private

Copy constructor.

Definition at line 97 of file groundedInference_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                      :
        PRMInference< GUM_SCALAR >(source),
        inf__(0) {
      GUM_CONS_CPY(GroundedInference);
      GUM_ERROR(FatalError, "illegal to copy constructor");
    }

Here is the call graph for this function:

Member Function Documentation

addEvidence()

template<typename GUM_SCALAR>

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

inherited

Add an evidence to the given instance's elt.

Parameters

chain	The variable being observed.
p	The Potential 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 108 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.");

        Potential< GUM_SCALAR >* e = new Potential< 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>.");
      }
    }

clearEvidence()

template<typename GUM_SCALAR >

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

inherited

Remove all evidences.

Definition at line 35 of file PRMInference_tpl.h.

                                                   {
      for (const auto& elt: evidences__) {
        for (const auto& elt2: *elt.second)
          delete elt2.second;

        delete elt.second;
      }

      evidences__.clear();
    }

evidence() [1/4]

template<typename GUM_SCALAR>

INLINE PRMInference< GUM_SCALAR >::EMap & gum::prm::PRMInference< GUM_SCALAR >::evidence ( const PRMInstance< GUM_SCALAR > &  i )

inherited

Returns EMap of evidences over i.

Exceptions

NotFound

if i has no evidence.

Definition at line 156 of file PRMInference_tpl.h.

                                                                              {
      try {
        return *(evidences__[&i]);
      } catch (NotFound&) {
        GUM_ERROR(NotFound, "this instance has no evidence.");
      }
    }

evidence() [2/4]

template<typename GUM_SCALAR>

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

inherited

Returns EMap of evidences over i.

Exceptions

NotFound

if i has no evidence.

Definition at line 177 of file PRMInference_tpl.h.

                                                                              {
      try {
        return *(evidences__[i]);
      } catch (NotFound&) {
        GUM_ERROR(NotFound, "this instance has no evidence.");
      }
    }

evidence() [3/4]

template<typename GUM_SCALAR>

INLINE const PRMInference< GUM_SCALAR >::EMap & gum::prm::PRMInference< GUM_SCALAR >::evidence ( const PRMInstance< GUM_SCALAR > &  i ) const

inherited

Returns EMap of evidences over i.

Exceptions

NotFound

if i has no evidence.

Definition at line 166 of file PRMInference_tpl.h.

                                                    {
      try {
        return *(evidences__[&i]);
      } catch (NotFound&) {
        GUM_ERROR(NotFound, "this instance has no evidence.");
      }
    }

evidence() [4/4]

template<typename GUM_SCALAR>

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

inherited

Returns EMap of evidences over i.

Exceptions

NotFound

if i has no evidence.

Definition at line 187 of file PRMInference_tpl.h.

                                                    {
      try {
        return *(evidences__[i]);
      } catch (NotFound&) {
        GUM_ERROR(NotFound, "this instance has no evidence.");
      }
    }

evidenceAdded_() [1/2]

template<typename GUM_SCALAR >

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

protectedvirtual

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

Definition at line 49 of file groundedInference_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                              {
      Potential< GUM_SCALAR >* bn_obs = new Potential< GUM_SCALAR >();
      // Retrieving the BN's variable
      std::stringstream var_name;
      var_name << chain.first->name() << "." << chain.second->safeName();
      bn_obs->add(inf__->BN().variableFromName(var_name.str()));
      // Retrievin the PRM<GUM_SCALAR>'s evidence and copying it in bn_obs
      const Potential< GUM_SCALAR >* prm_obs
         = this->evidence(chain.first)[chain.second->id()];
      Instantiation i(*bn_obs), j(*prm_obs);

      for (i.setFirst(), j.setFirst(); !i.end(); i.inc(), j.inc()) {
        bn_obs->set(i, prm_obs->get(j));
      }

      obs__.insert(bn_obs);
    }

Here is the call graph for this function:

evidenceAdded_() [2/2]

template<typename GUM_SCALAR>

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

protectedpure virtualinherited

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_() [1/2]

template<typename GUM_SCALAR >

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

protectedvirtual

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

Definition at line 69 of file groundedInference_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                              {
      std::stringstream var_name;
      var_name << chain.first->name() << "." << chain.second->safeName();
      const DiscreteVariable& var = inf__->BN().variableFromName(var_name.str());

      for (auto iter = obs__.beginSafe(); iter != obs__.endSafe();
           ++iter) {   // safe iterator needed here
        if ((**iter).contains(var)) {
          inf__->eraseEvidence(var_name.str());
          const Potential< GUM_SCALAR >* e = *iter;
          obs__.erase(iter);
          delete e;
          break;
        }
      }
    }

Here is the call graph for this function:

evidenceRemoved_() [2/2]

template<typename GUM_SCALAR>

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

protectedpure virtualinherited

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 >.

getBNInference()

template<typename GUM_SCALAR >

INLINE MarginalTargetedInference< GUM_SCALAR > & gum::prm::GroundedInference< GUM_SCALAR >::getBNInference

(

)

Returns the bayesnet inference engine used by this class.

Returns

the bayesnet inference engine used by this class.

Exceptions

NotFound

Raised if no inference engine have been defined for this class.

Definition at line 114 of file groundedInference_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                           {
      if (inf__ != 0) {
        return *inf__;
      } else {
        GUM_ERROR(NotFound, "the inference engine is not yet defined");
      }
    }

Here is the call graph for this function:

hasEvidence() [1/4]

template<typename GUM_SCALAR>

INLINE bool gum::prm::PRMInference< GUM_SCALAR >::hasEvidence ( const PRMInstance< GUM_SCALAR > &  i ) const

inherited

Returns true if i has evidence.

Definition at line 197 of file PRMInference_tpl.h.

                                                 {
      return evidences__.exists(&i);
    }

hasEvidence() [2/4]

template<typename GUM_SCALAR>

INLINE bool gum::prm::PRMInference< GUM_SCALAR >::hasEvidence ( const PRMInstance< GUM_SCALAR > *  i ) const

inherited

Returns EMap of evidences over i.

Definition at line 203 of file PRMInference_tpl.h.

                                                 {
      return evidences__.exists(i);
    }

hasEvidence() [3/4]

template<typename GUM_SCALAR>

INLINE bool gum::prm::PRMInference< GUM_SCALAR >::hasEvidence ( const Chain &  chain ) const

inherited

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

Definition at line 209 of file PRMInference_tpl.h.

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

hasEvidence() [4/4]

template<typename GUM_SCALAR>

INLINE bool gum::prm::PRMInference< GUM_SCALAR >::hasEvidence ( ) const

inherited

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

Definition at line 216 of file PRMInference_tpl.h.

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

joint()

template<typename GUM_SCALAR>

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

inherited

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 264 of file PRMInference_tpl.h.

                                                                           {
      if (j.nbrDim() > 0) {
        GUM_ERROR(OperationNotAllowed, "the given Potential is not empty.");
      }

      for (auto chain = chains.begin(); chain != chains.end(); ++chain) {
        j.add(chain->second->type().variable());
      }

      joint_(chains, j);
    }

joint_() [1/2]

template<typename GUM_SCALAR >

INLINE void gum::prm::GroundedInference< GUM_SCALAR >::joint_ ( const std::vector< typename PRMInference< GUM_SCALAR >::Chain > &  queries, Potential< GUM_SCALAR > &  j  )

protectedvirtual

Generic method to compute the marginal of given element.

Parameters

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

Definition at line 153 of file groundedInference_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                                           {
      GUM_ERROR(FatalError, "not yet implemented");
    }

Here is the call graph for this function:

joint_() [2/2]

template<typename GUM_SCALAR>

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

protectedpure virtualinherited

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 >.

name()

template<typename GUM_SCALAR >

INLINE std::string gum::prm::GroundedInference< GUM_SCALAR >::name ( ) const

virtual

Returns the bayesnet inference engine used by this class.

Returns

the bayesnet inference engine used by this class.

Exceptions

NotFound

Raised if no inference engine have been defined for this class.

Implements gum::prm::PRMInference< GUM_SCALAR >.

Definition at line 160 of file groundedInference_tpl.h.

                                                                 {
      return "grounded inference";
    }

operator=()

template<typename GUM_SCALAR >

INLINE GroundedInference< GUM_SCALAR > & gum::prm::GroundedInference< GUM_SCALAR >::operator= ( const GroundedInference< GUM_SCALAR > &  source )

private

Copy operator.

Definition at line 107 of file groundedInference_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                         {
      GUM_ERROR(FatalError, "illegal call to copy operator");
    }

Here is the call graph for this function:

posterior()

template<typename GUM_SCALAR>

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

inherited

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 234 of file PRMInference_tpl.h.

                                                            {
      if (m.nbrDim() > 0) {
        GUM_ERROR(OperationNotAllowed, "the given Potential is not empty.");
      }

      if (hasEvidence(chain)) {
        m.add(chain.second->type().variable());
        const Potential< 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);
        }
      }
    }

posterior_() [1/2]

template<typename GUM_SCALAR >

INLINE void gum::prm::GroundedInference< GUM_SCALAR >::posterior_ ( const typename PRMInference< GUM_SCALAR >::Chain &  chain, Potential< GUM_SCALAR > &  m  )

protectedvirtual

Generic method to compute the marginal of given element.

Parameters

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

Definition at line 131 of file groundedInference_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                            {
      if (inf__ == 0) {
        GUM_ERROR(OperationNotAllowed, "no inference engine defined");
      }

      std::stringstream sBuff;

      if (!obs__.empty()) {
        for (auto e: obs__) {
          try {
            inf__->addEvidence(*e);
          } catch (InvalidArgument&) { inf__->chgEvidence(*e); }
        }
      }

      sBuff << chain.first->name() << "." << chain.second->safeName();
      m = inf__->posterior(inf__->BN().idFromName(sBuff.str()));
    }

Here is the call graph for this function:

posterior_() [2/2]

template<typename GUM_SCALAR>

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

protectedpure virtualinherited

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<typename GUM_SCALAR >

INLINE void gum::prm::PRMInference< GUM_SCALAR >::removeEvidence ( const Chain &  chain )

inherited

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 221 of file PRMInference_tpl.h.

                                                                             {
      try {
        if (EMap__(chain.first).exists(chain.second->id())) {
          evidenceRemoved_(chain);
          delete EMap__(chain.first)[chain.second->id()];
          EMap__(chain.first).erase(chain.second->id());
        }
      } catch (NotFound&) {
        // Ok, we are only removing
      }
    }

setBNInference()

template<typename GUM_SCALAR >

INLINE void gum::prm::GroundedInference< GUM_SCALAR >::setBNInference

(

MarginalTargetedInference< GUM_SCALAR > *

bn_inf

)

Defines the bayesnet inference engine used by this class.

The inference engine is given to this class, it will be deleted when ~GroundedInference() is called.

Parameters

bn_inf

The bayesnet inference engine used by this class.

Exceptions

OperationNotAllowed

If bn_inf does not inference over the SystemBayesNet of this class.

Todo:

MarginalTargetedInference should have copy constructors.

Definition at line 123 of file groundedInference_tpl.h.

References gum::prm::ParamScopeData< GUM_SCALAR >::ParamScopeData().

                                                        {
      if (inf__ != 0) { delete inf__; }

      inf__ = bn_inf;
    }

Here is the call graph for this function:

Member Data Documentation

inf__

template<typename GUM_SCALAR >

MarginalTargetedInference< GUM_SCALAR >* gum::prm::GroundedInference< GUM_SCALAR >::inf__

private

The bayesnet inference engine used by this class.

Definition at line 131 of file groundedInference.h.

obs__

template<typename GUM_SCALAR >

List< const Potential< GUM_SCALAR >* > gum::prm::GroundedInference< GUM_SCALAR >::obs__

private

Definition at line 133 of file groundedInference.h.

prm_

template<typename GUM_SCALAR>

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

protectedinherited

The PRM<GUM_SCALAR> on which inference is done.

Definition at line 213 of file PRMInference.h.

sys_

template<typename GUM_SCALAR>

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

protectedinherited

The Model on which inference is done.

Definition at line 216 of file PRMInference.h.

---

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

• agrum/PRM/inference/groundedInference.h
• agrum/PRM/inference/groundedInference_tpl.h