aGrUM  0.13.2
MonteCarloSampling.h
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28 #ifndef GUM_MONTE_CARLO_INFERENCE_H
29 #define GUM_MONTE_CARLO_INFERENCE_H
30 
32 
33 namespace gum {
34 
49  template < typename GUM_SCALAR >
50  class MonteCarloSampling : public SamplingInference< GUM_SCALAR > {
51  public:
55  explicit MonteCarloSampling(const IBayesNet< GUM_SCALAR >* bn);
56 
60  ~MonteCarloSampling() override;
61 
62  protected:
64  Instantiation _burnIn() override;
65 
67 
78  Instantiation _draw(float* w, Instantiation prev) override;
79  };
80 
81  extern template class MonteCarloSampling< float >;
82 
83  extern template class MonteCarloSampling< double >;
84 } // namespace gum
85 
87 
88 #endif
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
Instantiation _burnIn() override
draws a defined number of samples without updating the estimators
This file contains general methods for simulation-oriented approximate inference. ...
~MonteCarloSampling() override
Destructor.
Instantiation _draw(float *w, Instantiation prev) override
draws a sample according to classic Monte Carlo sampling
Class for assigning/browsing values to tuples of discrete variables.
Definition: instantiation.h:80
Implementation of Monte Carlo Sampling for inference in Bayesian Networks.
MonteCarloSampling(const IBayesNet< GUM_SCALAR > *bn)
Default constructor.