aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
MRFInference_tpl.h
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40#pragma once
41
42
48
50
51namespace gum {
52
53
54 // Default Constructor
55 template < typename GUM_SCALAR >
60
61 // Default Constructor
62 template < typename GUM_SCALAR >
66
67 // Destructor
68 template < typename GUM_SCALAR >
72
73 // Returns a constant reference over the IMarkovRandomField referenced by this class
74 template < typename GUM_SCALAR >
76 return static_cast< const IMarkovRandomField< GUM_SCALAR >& >(this->model());
77 }
78
79 // assigns a new MRF to the inference engine
80 template < typename GUM_SCALAR >
84
85 // assigns a MRF to a newly constructed inference engine
86 template < typename GUM_SCALAR >
91} /* namespace gum */
This file contains abstract class definitions for Markov random fields inference classes.
GraphicalModelInference(const GraphicalModel *model)
default constructor
void setModel_(const GraphicalModel *model)
void setModelDuringConstruction_(const GraphicalModel *model)
assigns a model during the inference engine construction
virtual const GraphicalModel & model() const final
Returns a constant reference over the IBayesNet referenced by this class.
Class representing the minimal interface for Markov random field.
MRFInference()
default constructor with a null MRF (useful for virtual inheritance)
virtual void setMRF(const IMarkovRandomField< GUM_SCALAR > *mrf)
assigns a new MRF to the inference engine
virtual const IMarkovRandomField< GUM_SCALAR > & MRF() const final
Returns a constant reference over the IMarkovRandomField referenced by this class.
MRFInference(const IMarkovRandomField< GUM_SCALAR > *mn)
default constructor
virtual ~MRFInference()
destructor
void _setMRFDuringConstruction_(const IMarkovRandomField< GUM_SCALAR > *mn)
assigns a MRF during the inference engine construction
gum is the global namespace for all aGrUM entities
Definition agrum.h:46