CNMonteCarloSampling.h

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#ifndef __CN_MC_SAMPLING__H__
#define __CN_MC_SAMPLING__H__
 
#include <limits>
#include <thread>
 
#include <agrum/CN/inference/multipleInferenceEngine.h>
 
namespace gum {
  namespace credal {

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


      void _mcInitApproximationScheme_();
      void _mcThreadDataCopy_();


      inline void _verticesSampling_(Size this_thread);

      inline void _insertEvidence_(Size this_thread);

      inline void _threadInference_(Size this_thread);

      inline void _threadUpdate_(Size this_thread);

      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/inference/CNMonteCarloSampling_tpl.h>
 
#endif