ShaferShenoyLIMIDInference.h

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#ifndef GUM_SHAFERSHENOY_LIMIDS_H
#define GUM_SHAFERSHENOY_LIMIDS_H
 
#include <iostream>
#include <string>
#include <utility>
#include <vector>
 
#include <agrum/agrum.h>
 
#include <agrum/base/core/exceptions.h>
#include <agrum/base/graphs/algorithms/triangulations/defaultTriangulation.h>
#include <agrum/base/graphs/algorithms/triangulations/partialOrderedTriangulation.h>
#include <agrum/base/multidim/implementations/multiDimBucket.h>
#include <agrum/base/multidim/implementations/multiDimSparse.h>
#include <agrum/ID/inference/tools/decisionTensor.h>
#include <agrum/ID/inference/tools/influenceDiagramInference.h>
 
namespace gum {

  template < typename GUM_SCALAR >
  class ShaferShenoyLIMIDInference: public InfluenceDiagramInference< GUM_SCALAR > {
    using PhiNodeProperty = NodeProperty< DecisionTensor< GUM_SCALAR > >;
    using PsiArcProperty  = ArcProperty< DecisionTensor< GUM_SCALAR > >;
    using SetOfVars       = gum::VariableSet;
 
 
    public:
    // ====================================================================
    // ====================================================================

    explicit ShaferShenoyLIMIDInference(const InfluenceDiagram< GUM_SCALAR >* infDiag);

    virtual ~ShaferShenoyLIMIDInference();
 
    const JunctionTree* junctionTree() const;
 
    void clear() override;

    void addNoForgettingAssumption(const std::vector< NodeId >& ids);
    void addNoForgettingAssumption(const std::vector< std::string >& names);
    bool hasNoForgettingAssumption() const;

 
    DAG reducedGraph() const { return reduced_; };
 
    std::vector< NodeSet > reversePartialOrder() const;
 
    InfluenceDiagram< GUM_SCALAR > reducedLIMID() const;
 
    bool isSolvable() const;
 
 
    gum::Tensor< GUM_SCALAR > optimalDecision(NodeId decisionId) final;
 
    gum::Tensor< GUM_SCALAR > optimalDecision(const std::string& decisionName) final {
      return optimalDecision(this->influenceDiagram().idFromName(decisionName));
    };

    virtual const Tensor< GUM_SCALAR >& posterior(NodeId node) final;
 
    const Tensor< GUM_SCALAR >& posterior(const std::string& name) final {
      return posterior(this->influenceDiagram().idFromName(name));
    };

    virtual const Tensor< GUM_SCALAR >& posteriorUtility(NodeId node) final;
 
    virtual const Tensor< GUM_SCALAR >& posteriorUtility(const std::string& name) final {
      return posteriorUtility(this->influenceDiagram().idFromName(name));
    };

    virtual std::pair< GUM_SCALAR, GUM_SCALAR > meanVar(NodeId node) final;
 
    std::pair< GUM_SCALAR, GUM_SCALAR > meanVar(const std::string& name) final {
      return meanVar(this->influenceDiagram().idFromName(name));
    };

    std::pair< GUM_SCALAR, GUM_SCALAR > MEU() final;
 
    protected:
    void onStateChanged_() override;
    void onEvidenceAdded_(NodeId id, bool isHardEvidence) override;
    void onEvidenceErased_(NodeId id, bool isHardEvidence) override;
    void onAllEvidenceErased_(bool contains_hard_evidence) override;
    void onEvidenceChanged_(NodeId id, bool hasChangedSoftHard) override;
    void onModelChanged_(const GraphicalModel* model) override;
    void updateOutdatedStructure_() override;
    void updateOutdatedTensors_() override;
    void makeInference_() override;

    NodeSet nonRequisiteNodes_(NodeId d) const;
 
    DAG                                          reduced_;
    CliqueGraph                                  reducedJunctionTree_;
    NodeProperty< NodeId >                       node_to_clique_;
    EdgeProperty< SetOfVars >                    varsSeparator_;
    NodeProperty< Tensor< GUM_SCALAR > >         strategies_;
    NodeProperty< DecisionTensor< GUM_SCALAR > > posteriors_;
    NodeProperty< DecisionTensor< GUM_SCALAR > > unconditionalDecisions_;
 
    void                   createReduced_();
    std::vector< NodeSet > reversePartialOrder_;
    std::vector< NodeId >  solvabilityOrder_;
    std::vector< NodeId >  noForgettingOrder_;
 
    private:
    void _completingNoForgettingAssumption_();
    void _reducingLIMID_();
    void _creatingPartialOrder_(const NodeSet& utilities);
    void _checkingSolvability_(const NodeSet& utilities);
    void _creatingJunctionTree_();
    void _findingCliqueForEachNode_(DefaultTriangulation& triangulation);
 
    void initializingInference_(PhiNodeProperty& phi, PsiArcProperty& psi);
    void collectingMessage_(PhiNodeProperty& phi, PsiArcProperty& psi, NodeId rootClique);
    void collectingToFollowingRoot_(PhiNodeProperty& phi,
                                    PsiArcProperty&  psi,
                                    NodeId           fromClique,
                                    NodeId           toClique);
    void deciding_(PhiNodeProperty& phi, PsiArcProperty& psi, NodeId decisionNode);
    void transmittingMessage_(PhiNodeProperty& phi,
                              PsiArcProperty&  psi,
                              NodeId           fromClique,
                              NodeId           toClique);
    void transmittingFinalMessage_(PhiNodeProperty& phi,
                                   PsiArcProperty&  psi,
                                   NodeId           fromClique,
                                   NodeId           toClique);
    void distributingMessage_(PhiNodeProperty& phi, PsiArcProperty& psi, NodeId rootClique);
    void computingPosteriors_(const PhiNodeProperty& phi, const PsiArcProperty& psi);
    DecisionTensor< double > integrating_(const PhiNodeProperty& phi,
                                          const PsiArcProperty&  psi,
                                          NodeId                 clique,
                                          NodeId                 except) const;
    DecisionTensor< double >
         integrating_(const PhiNodeProperty& phi, const PsiArcProperty& psi, NodeId clique) const;
    void binarizingMax_(const Tensor< GUM_SCALAR >& decision,
                        const Tensor< GUM_SCALAR >& proba) const;
  };
} /* namespace gum */
 
#include <agrum/ID/inference/ShaferShenoyLIMIDInference_tpl.h>
 
#endif /* GUM_SHAFERSHENOY_LIMIDS_H */