aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
MRFInference.h
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49
50#ifndef GUM_MARKOV_RANDOM_FIELD_INFERENCE_H
51#define GUM_MARKOV_RANDOM_FIELD_INFERENCE_H
52
53
54#include <agrum/agrum.h>
55
58
59namespace gum {
60
61 // JointTargetedMRFInference, the class for computing joint posteriors, should
62 // have access to the states of Inference and change them when needed: this
63 // will be a friend of Inference
64 template < typename GUM_SCALAR >
66
67 // MarginalTargetedMRFInference, the class for computing marginal posteriors,
68 // should have access to the states of Inference and change them when needed:
69 // this should be a friend of Inference
70 template < typename GUM_SCALAR >
72
73 // EvidenceMRFInference, the class for computing the probability of evidence,
74 // should have access to the states of Inference and change them when needed:
75 // this will be a friend of Inference
76 template < typename GUM_SCALAR >
78
133
134 template < typename GUM_SCALAR >
135 class MRFInference: public GraphicalModelInference< GUM_SCALAR > {
136 public:
169
170 // ############################################################################
172 // ############################################################################
174
176
179
181
189 MRFInference();
190
192 virtual ~MRFInference();
193
195
196
197 // ############################################################################
199 // ############################################################################
201
203
208 virtual void setMRF(const IMarkovRandomField< GUM_SCALAR >* mrf);
209
211
213 virtual const IMarkovRandomField< GUM_SCALAR >& MRF() const final;
214
215 private:
218
219
224 };
225
226
227} // namespace gum
228
230
231
232#endif // GUM_MARKOV_RANDOM_FIELD_INFERENCE_H
Class representing Markov random fields.
Implementation of the non pure virtual methods of class MRFInference.
<agrum/MRF/inference/evidenceMRFInference.h>
GraphicalModelInference(const GraphicalModel *model)
default constructor
Class representing the minimal interface for Markov random field.
<agrum/MRF/inference/jointTargetedMRFInference.h>
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
friend MarginalTargetedMRFInference< GUM_SCALAR >
allow JointInference to access the single targets and inference states
friend JointTargetedMRFInference< GUM_SCALAR >
assigns a new MRF to the inference engine
void _setMRFDuringConstruction_(const IMarkovRandomField< GUM_SCALAR > *mn)
assigns a MRF during the inference engine construction
friend EvidenceMRFInference< GUM_SCALAR >
assigns a new MRF to the inference engine
<agrum/MRF/inference/marginalTargetedMRFInference.h>
This file contains abstract class definitions for graphical models inference classes.
gum is the global namespace for all aGrUM entities
Definition agrum.h:46