aGrUM  0.15.0
weightedSampling.h
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1 
31 #ifndef GUM_WEIGHTED_INFERENCE_H
32 #define GUM_WEIGHTED_INFERENCE_H
33 
35 
36 namespace gum {
37 
50  template < typename GUM_SCALAR >
51  class WeightedSampling : public SamplingInference< GUM_SCALAR > {
52  public:
56  explicit WeightedSampling(const IBayesNet< GUM_SCALAR >* bn);
57 
61  ~WeightedSampling() override;
62 
63  protected:
65  Instantiation _burnIn() override;
66 
68 
79  Instantiation _draw(GUM_SCALAR* w, Instantiation prev) override;
80  };
81 
82 
83 #ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
84  extern template class WeightedSampling< double >;
85 #endif
86 } // namespace gum
87 
89 
90 #endif
WeightedSampling(const IBayesNet< GUM_SCALAR > *bn)
Default constructor.
~WeightedSampling() override
Destructor.
Copyright 2005-2019 Pierre-Henri WUILLEMIN et Christophe GONZALES (LIP6) {prenom.nom}_at_lip6.fr.
Class representing the minimal interface for Bayesian Network.
Definition: IBayesNet.h:62
Copyright 2005-2019 Pierre-Henri WUILLEMIN et Christophe GONZALES (LIP6) {prenom.nom}_at_lip6.fr.
Definition: agrum.h:25
Copyright 2005-2019 Pierre-Henri WUILLEMIN et Christophe GONZALES (LIP6) {prenom.nom}_at_lip6.fr.
Class for assigning/browsing values to tuples of discrete variables.
Definition: instantiation.h:83
Instantiation _draw(GUM_SCALAR *w, Instantiation prev) override
draws a sample according to Weighted sampling
Instantiation _burnIn() override
draws a defined number of samples without updating the estimators