aGrUM  0.13.2
importanceSampling.h
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28 #ifndef GUM_IMPORTANCE_INFERENCE_H
29 #define GUM_IMPORTANCE_INFERENCE_H
30 
32 
33 namespace gum {
34 
48  template < typename GUM_SCALAR >
49  class ImportanceSampling : public SamplingInference< GUM_SCALAR > {
50  public:
54  explicit ImportanceSampling(const IBayesNet< GUM_SCALAR >* bn);
55 
56 
60  ~ImportanceSampling() override;
61 
62  protected:
64  Instantiation _burnIn() override;
65 
66 
68 
80  Instantiation _draw(float* w, Instantiation prev) override;
81 
82 
84 
94 
96 
107  };
108 
109  extern template class ImportanceSampling< float >;
110 
111  extern template class ImportanceSampling< double >;
112 } // namespace gum
113 
115 
116 #endif
~ImportanceSampling() override
Destructor.
Instantiation _burnIn() override
draws a defined number of samples without updating the estimators
ImportanceSampling(const IBayesNet< GUM_SCALAR > *bn)
Default constructor.
Class representing the minimal interface for Bayesian Network.
Definition: IBayesNet.h:59
gum is the global namespace for all aGrUM entities
Definition: agrum.h:25
Implementation of Importance Sampling for inference in Bayesian Networks.
This file contains general methods for simulation-oriented approximate inference. ...
Instantiation _draw(float *w, Instantiation prev) override
draws a sample according to Importance sampling
Portion of a BN identified by the list of nodes and a BayesNet.
double epsilon() const
Returns the value of epsilon.
Class for assigning/browsing values to tuples of discrete variables.
Definition: instantiation.h:80
void _unsharpenBN(BayesNetFragment< GUM_SCALAR > *bn, float epsilon)
modifies the cpts of a BN in order to tend to uniform distributions
void _onContextualize(BayesNetFragment< GUM_SCALAR > *bn) override
fired when Bayesian network is contextualized