aGrUM 3.2.0
a C++ library for (probabilistic) graphical models
evidenceMRFInference.h
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49
50#ifndef GUM_MARKOV_RANDOM_FIELD_EVIDENCE_INFERENCE_H
51#define GUM_MARKOV_RANDOM_FIELD_EVIDENCE_INFERENCE_H
52
53#include <agrum/agrum.h>
54
55#include <agrum/MRF/inference/tools/MRFInference.h>
56
57namespace gum {
58
59
70 template < GUM_Numeric GUM_SCALAR >
71 class GUM_PUBLIC_MRF EvidenceMRFInference: public virtual MRFInference< GUM_SCALAR > {
72 public:
73 // ############################################################################
75 // ############################################################################
77
79
81 explicit EvidenceMRFInference(const IMarkovRandomField< GUM_SCALAR >* mn);
82
84 ~EvidenceMRFInference() override;
85
87
88
89 // ############################################################################
91 // ############################################################################
93
95 virtual GUM_SCALAR evidenceProbability() = 0;
96
98 };
99
100
101} // namespace gum
102
103#include <agrum/MRF/inference/tools/evidenceMRFInference_tpl.h>
104
105
106#endif // GUM_MARKOV_RANDOM_FIELD_EVIDENCE_INFERENCE_H
MRFInference.h
This file contains abstract class definitions for Markov random fields inference classes.
gum::EvidenceMRFInference::evidenceProbability
virtual GUM_SCALAR evidenceProbability()=0
returns the probability P(e) of the evidence entered into the MRF
gum::EvidenceMRFInference::EvidenceMRFInference
EvidenceMRFInference(const IMarkovRandomField< GUM_SCALAR > *mn)
default constructor
Definition evidenceMRFInference_tpl.h:57
gum::IMarkovRandomField
Class representing the minimal interface for Markov random field.
Definition IMarkovRandomField.h:75
gum::MRFInference::MRFInference
MRFInference(const IMarkovRandomField< GUM_SCALAR > *mn)
default constructor
Definition MRFInference_tpl.h:57
evidenceMRFInference_tpl.h
Implementation of the non pure virtual methods of class JointTargetedMRFInference.
gum
gum is the global namespace for all aGrUM entities
Definition agrum.h:46