aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
influenceDiagramInference.h
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50
51#ifndef GUM_INFLUENCE_DIAGRAM_INFERENCE_H
52#define GUM_INFLUENCE_DIAGRAM_INFERENCE_H
53
56
57namespace gum {
65 template < typename GUM_SCALAR >
67 public:
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91 virtual gum::Tensor< GUM_SCALAR > optimalDecision(NodeId decisionId) = 0;
92 virtual gum::Tensor< GUM_SCALAR > optimalDecision(const std::string& nodename) = 0;
93
94 virtual const Tensor< GUM_SCALAR >& posterior(NodeId node) = 0;
95 virtual const Tensor< GUM_SCALAR >& posterior(const std::string& nodename) = 0;
96
97 virtual const Tensor< GUM_SCALAR >& posteriorUtility(NodeId node) = 0;
98 virtual const Tensor< GUM_SCALAR >& posteriorUtility(const std::string& nodename) = 0;
99
100 virtual std::pair< GUM_SCALAR, GUM_SCALAR > meanVar(NodeId node) = 0;
101 virtual std::pair< GUM_SCALAR, GUM_SCALAR > meanVar(const std::string& nodename) = 0;
102
103 virtual std::pair< GUM_SCALAR, GUM_SCALAR > MEU() = 0;
104
105 private:
107 void _setIDDuringConstruction_(const InfluenceDiagram< GUM_SCALAR >* infdiag);
108 };
109
110} /* namespace gum */
111
112#include <agrum/ID/inference/tools/influenceDiagramInference_tpl.h>
113
114#endif /* GUM_INFLUENCE_DIAGRAM_INFERENCE_H */
GraphicalModelInference(const GraphicalModel *model)
default constructor
virtual std::pair< GUM_SCALAR, GUM_SCALAR > meanVar(NodeId node)=0
InfluenceDiagramInference(const InfluenceDiagram< GUM_SCALAR > *infDiag)
Default constructor.
virtual void setInfluenceDiagram(const InfluenceDiagram< GUM_SCALAR > *infdiag)
assigns a new influence diagram to the inference engine
virtual ~InfluenceDiagramInference()
Destructor.
void _setIDDuringConstruction_(const InfluenceDiagram< GUM_SCALAR > *infdiag)
assigns a influence diagram during the inference engine construction
virtual std::pair< GUM_SCALAR, GUM_SCALAR > MEU()=0
virtual gum::Tensor< GUM_SCALAR > optimalDecision(NodeId decisionId)=0
virtual const InfluenceDiagram< GUM_SCALAR > & influenceDiagram() const final
Returns a constant reference over the IBayesNet referenced by this class.
virtual const Tensor< GUM_SCALAR > & posteriorUtility(NodeId node)=0
virtual const Tensor< GUM_SCALAR > & posterior(NodeId node)=0
Class representing an Influence Diagram.
aGrUM's Tensor is a multi-dimensional array with tensor operators.
Definition tensor.h:85
This file contains abstract class definitions for graphical models inference classes.
Size NodeId
Type for node ids.
Class representing Influence Diagrams.
gum is the global namespace for all aGrUM entities
Definition agrum.h:46
STL namespace.