aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
BayesBall.h
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40
41
49
50#ifndef GUM_BAYESBALLS_H
51#define GUM_BAYESBALLS_H
52
53#include <utility>
54
55#include <agrum/agrum.h>
56
57#include <agrum/BN/IBayesNet.h>
58
59namespace gum {
67 class BayesBall {
68 // ############################################################################
70 // ############################################################################
72
73 private:
75 BayesBall();
76
78 ~BayesBall();
79
81
82 public:
83 // ############################################################################
85 // ############################################################################
87
94 static void requisiteNodes(const DAG& dag,
95 const NodeSet& query,
96 const NodeSet& hardEvidence,
97 const NodeSet& softEvidence,
98 NodeSet& requisite);
99
102 template < typename GUM_SCALAR, class TABLE >
103 static void relevantTensors(const IBayesNet< GUM_SCALAR >& bn,
104 const NodeSet& query,
105 const NodeSet& hardEvidence,
106 const NodeSet& softEvidence,
107 Set< const TABLE* >& tensors);
108
110 };
111
112} /* namespace gum */
113
114#ifndef GUM_NO_INLINE
116#endif // GUM_NO_INLINE
117
119
120#endif /* GUM_BAYESBALLS_H */
Implementation of the BayesBall class.
Implementation of the BayesBall class.
Class representing the minimal interface for Bayesian network with no numerical data.
static void relevantTensors(const IBayesNet< GUM_SCALAR > &bn, const NodeSet &query, const NodeSet &hardEvidence, const NodeSet &softEvidence, Set< const TABLE * > &tensors)
update a set of tensors, keeping only those d-connected with query variables given evidence
~BayesBall()
Destructor.
BayesBall()
Default constructor.
static void requisiteNodes(const DAG &dag, const NodeSet &query, const NodeSet &hardEvidence, const NodeSet &softEvidence, NodeSet &requisite)
Fill the 'requisite' nodeset with the requisite nodes in dag given a query and evidence.
Definition BayesBall.cpp:55
Base class for dag.
Definition DAG.h:121
Class representing the minimal interface for Bayesian network with no numerical data.
Definition IBayesNet.h:75
Representation of a set.
Definition set.h:131
Set< NodeId > NodeSet
Some typdefs and define for shortcuts ...
gum is the global namespace for all aGrUM entities
Definition agrum.h:46