MonteCarloSampling_tpl.h

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#pragma once
 

 
 
#include <agrum/BN/inference/MonteCarloSampling.h>
 
namespace gum {

  template < GUM_Numeric GUM_SCALAR >
  MonteCarloSampling< GUM_SCALAR >::MonteCarloSampling(const IBayesNet< GUM_SCALAR >* bn) :
      SamplingInference< GUM_SCALAR >(bn) {
    GUM_CONSTRUCTOR(MonteCarloSampling);
  }

  template < GUM_Numeric GUM_SCALAR >
  MonteCarloSampling< GUM_SCALAR >::~MonteCarloSampling() {
    GUM_DESTRUCTOR(MonteCarloSampling);
  }

  template < GUM_Numeric GUM_SCALAR >
  Instantiation MonteCarloSampling< GUM_SCALAR >::burnIn_() {
    gum::Instantiation I;
    return I;
  }
 
  template < GUM_Numeric GUM_SCALAR >
  Instantiation MonteCarloSampling< GUM_SCALAR >::draw_(GUM_SCALAR* w, Instantiation prev) {
    *w               = 1.0f;
    bool wrong_value = false;
    do {
      wrong_value = false;
      prev.clear();
      for (const auto nod: this->BN().topologicalOrder()) {
        this->addVarSample_(nod, &prev);
        if (this->hardEvidenceNodes().contains(nod)
            && prev.val(this->BN().variable(nod)) != this->hardEvidence()[nod]) {
          wrong_value = true;
          break;
        }
      }
    } while (wrong_value);
    return prev;
  }
}   // namespace gum