aGrUM  0.14.2
evidenceInference.h
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28 #ifndef GUM_BAYES_NET_EVIDENCE_INFERENCE_H
29 #define GUM_BAYES_NET_EVIDENCE_INFERENCE_H
30 
32 #include <agrum/agrum.h>
33 
34 
35 namespace gum {
36 
37 
48  template < typename GUM_SCALAR >
49  class EvidenceInference : public virtual BayesNetInference< GUM_SCALAR > {
50  public:
51  // ############################################################################
53  // ############################################################################
55 
57 
59  explicit EvidenceInference(const IBayesNet< GUM_SCALAR >* bn);
60 
62  virtual ~EvidenceInference();
63 
65 
66 
67  // ############################################################################
69  // ############################################################################
71 
73  virtual GUM_SCALAR evidenceProbability() = 0;
74 
76  };
77 
78 
79 } // namespace gum
80 
81 
83 
84 
85 #endif // GUM_BAYES_NET_EVIDENCE_INFERENCE_H
gum is the global namespace for all aGrUM entities
Definition: agrum.h:25
This file contains abstract class definitions for Bayesian networks inference classes.
Implementation of the non pure virtual methods of class JointTargetedInference.
virtual GUM_SCALAR evidenceProbability()=0
returns the probability P(e) of the evidence enterred into the BN
virtual ~EvidenceInference()
destructor
EvidenceInference(const IBayesNet< GUM_SCALAR > *bn)
default constructor