aGrUM 3.1.1
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
57#include <string_view>
58
59namespace gum {
67 template < GUM_Numeric GUM_SCALAR >
69 public:
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92
93 virtual gum::Tensor< GUM_SCALAR > optimalDecision(NodeId decisionId) = 0;
94 virtual gum::Tensor< GUM_SCALAR > optimalDecision(std::string_view nodename) = 0;
95
96 virtual const Tensor< GUM_SCALAR >& posterior(NodeId node) = 0;
97 virtual const Tensor< GUM_SCALAR >& posterior(std::string_view nodename) = 0;
98
99 virtual const Tensor< GUM_SCALAR >& posteriorUtility(NodeId node) = 0;
100 virtual const Tensor< GUM_SCALAR >& posteriorUtility(std::string_view nodename) = 0;
101
102 virtual std::pair< GUM_SCALAR, GUM_SCALAR > meanVar(NodeId node) = 0;
103 virtual std::pair< GUM_SCALAR, GUM_SCALAR > meanVar(std::string_view nodename) = 0;
104
105 virtual std::pair< GUM_SCALAR, GUM_SCALAR > MEU() = 0;
106
107 private:
109 void _setIDDuringConstruction_(const InfluenceDiagram< GUM_SCALAR >* infdiag);
110 };
111
112} /* namespace gum */
113
114#include <agrum/ID/inference/tools/influenceDiagramInference_tpl.h>
115
116#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.