loopySamplingInference_tpl.h

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#pragma once
 

 
 
#include <agrum/BN/inference/loopySamplingInference.h>
 
#define DEFAULT_VIRTUAL_LBP_SIZE 5000
 
namespace gum {
 
 
  template < GUM_Numeric GUM_SCALAR, template < typename > class APPROX >
  LoopySamplingInference< GUM_SCALAR, APPROX >::LoopySamplingInference(
      const IBayesNet< GUM_SCALAR >* BN) :
      APPROX< GUM_SCALAR >(BN), virtualLBPSize_(DEFAULT_VIRTUAL_LBP_SIZE) {
    GUM_CONSTRUCTOR(LoopySamplingInference);
  }
 
  template < GUM_Numeric GUM_SCALAR, template < typename > class APPROX >
  LoopySamplingInference< GUM_SCALAR, APPROX >::~LoopySamplingInference() {
    GUM_DESTRUCTOR(LoopySamplingInference);
  }
 
  template < GUM_Numeric GUM_SCALAR, template < typename > class APPROX >
  void LoopySamplingInference< GUM_SCALAR, APPROX >::makeInference_() {
    LoopyBeliefPropagation< GUM_SCALAR > lbp(&this->BN());
    for (const auto& x: this->hardEvidence()) {
      lbp.addEvidence(x.first, x.second);
    }
    lbp.makeInference();
 
    if (!this->isSetEstimator) { this->setEstimatorFromLBP_(&lbp, virtualLBPSize_); }
 
    this->loopApproxInference_();
  }
 
  template < GUM_Numeric GUM_SCALAR, template < typename > class APPROX >
  void LoopySamplingInference< GUM_SCALAR, APPROX >::setVirtualLBPSize(GUM_SCALAR vlbpsize) {
    if (vlbpsize > 0) virtualLBPSize_ = vlbpsize;
  }
 
}   // namespace gum