samplingInference.h

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#ifndef GUM_SAMPLING_INFERENCE_H
#define GUM_SAMPLING_INFERENCE_H
 
#include <agrum/BN/BayesNetFragment.h>
#include <agrum/BN/inference/tools/estimator.h>
#include <agrum/BN/inference/tools/gibbsOperator.h>
 
#include <string_view>
 
namespace gum {
 
  template < GUM_Numeric GUM_SCALAR >
  class SamplingInference: public ApproximateInference< GUM_SCALAR > {
    public:
    // ############################################################################
    // ############################################################################


 
    explicit SamplingInference(const IBayesNet< GUM_SCALAR >* bn);

    ~SamplingInference() override;


    const Tensor< GUM_SCALAR >& currentPosterior(NodeId id);


    const Tensor< GUM_SCALAR >& currentPosterior(std::string_view name);
 
 
    // ############################################################################
    // ############################################################################
    const IBayesNet< GUM_SCALAR >& samplingBN();


    const Tensor< GUM_SCALAR >& posterior_(NodeId id) override;

 


    virtual void contextualize();
 
    // ############################################################################
    // ############################################################################
 


    virtual void setEstimatorFromBN_();


    virtual void setEstimatorFromLBP_(LoopyBeliefPropagation< GUM_SCALAR >* lbp,
                                      GUM_SCALAR                            virtualLBPSize);
 
    protected:
    Estimator< GUM_SCALAR > _estimator_;

    bool isSetEstimator = false;

    bool isContextualized = false;

    virtual Instantiation burnIn_() = 0;


    virtual Instantiation draw_(GUM_SCALAR* w, Instantiation prev) = 0;

    void makeInference_() override;
    void loopApproxInference_();


    virtual void addVarSample_(NodeId nod, Instantiation* I);
 


    virtual void onContextualize_(BayesNetFragment< GUM_SCALAR >* bn);
 
    void onEvidenceAdded_(const NodeId id, bool isHardEvidence) override;
 
    void onEvidenceErased_(const NodeId id, bool isHardEvidence) override;
 
    void onAllEvidenceErased_(bool contains_hard_evidence) override;
 
    void onEvidenceChanged_(const NodeId id, bool hasChangedSoftHard) override;
 
    void onModelChanged_(const GraphicalModel* bn) override;
 
    void updateOutdatedStructure_() override;
 
    void updateOutdatedTensors_() override;
 
    void onMarginalTargetAdded_(const NodeId id) override;
 
    void onMarginalTargetErased_(const NodeId id) override;
 
    void onAllMarginalTargetsAdded_() override;
 
    void onAllMarginalTargetsErased_() override;
 
    void onStateChanged_() override;
 
    private:
    BayesNetFragment< GUM_SCALAR >* _samplingBN_;
  };
 
 
#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
  extern template class SamplingInference< double >;
#endif
 
}   // namespace gum
 
#include <agrum/BN/inference/tools/samplingInference_tpl.h>
#endif