CNMonteCarloSampling.h

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#ifndef __CN_MC_SAMPLING__H__
#define __CN_MC_SAMPLING__H__

#include <agrum/CN/multipleInferenceEngine.h>
#include <limits>

#include <agrum/BN/inference/lazyPropagation.h>

namespace gum {
  namespace credal {

    template < typename GUM_SCALAR,
               class BNInferenceEngine = LazyPropagation< GUM_SCALAR > >
    class CNMonteCarloSampling
        : public MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > {
      private:
      using __infEs = MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine >;


      void __mcInitApproximationScheme();
      void __mcThreadDataCopy();


      inline void __verticesSampling();

      inline void __insertEvidence();

      inline void __threadInference();

      inline void __threadUpdate();

      inline void __binaryRep(std::vector< bool >& toFill, const Idx value) const;


      protected:
      public:

      explicit CNMonteCarloSampling(const CredalNet< GUM_SCALAR >& credalNet);
      virtual ~CNMonteCarloSampling();


      void makeInference();



      virtual void insertEvidenceFile(const std::string& path) {
        InferenceEngine< GUM_SCALAR >::insertEvidenceFile(path);
      };

      protected:
      bool _repetitiveInd;
    };


#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
    extern template class CNMonteCarloSampling< float, LazyPropagation< float > >;

    extern template class CNMonteCarloSampling< double,
                                                LazyPropagation< double > >;
#endif


  }   // namespace credal
}   // namespace gum

#include <agrum/CN/CNMonteCarloSampling_tpl.h>

#endif