jointTargetedInference.h

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#ifndef GUM_BAYES_NET_JOINT_TARGETED_INFERENCE_H
#define GUM_BAYES_NET_JOINT_TARGETED_INFERENCE_H
 
 
#include <agrum/agrum.h>
 
#include <agrum/BN/inference/tools/marginalTargetedInference.h>
 
namespace gum {
 

  template < typename GUM_SCALAR >
  class JointTargetedInference: public MarginalTargetedInference< GUM_SCALAR > {
    public:
    // ############################################################################
    // ############################################################################


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

    virtual ~JointTargetedInference();

 
 
    // ############################################################################
    // ############################################################################


    virtual const Tensor< GUM_SCALAR >& jointPosterior(const NodeSet& nodes) final;


    virtual const Tensor< GUM_SCALAR >& posterior(NodeId node) final;


    virtual const Tensor< GUM_SCALAR >& posterior(const std::string& nodeName) final;
 
 
    // ############################################################################
    // ############################################################################


    virtual void eraseAllTargets();

    virtual void eraseAllJointTargets() final;

    virtual void eraseAllMarginalTargets() final;


    virtual void addJointTarget(const NodeSet& joint_target) final;


    virtual void eraseJointTarget(const NodeSet& joint_target) final;

    virtual bool isJointTarget(const NodeSet& vars) const final;

    virtual const Set< NodeSet >& jointTargets() const noexcept final;

    virtual Size nbrJointTargets() const noexcept final;

    Tensor< GUM_SCALAR > evidenceJointImpact(const NodeSet& targets, const NodeSet& evs);

    Tensor< GUM_SCALAR > evidenceJointImpact(const std::vector< std::string >& targets,
                                             const std::vector< std::string >& evs);
 
    // ############################################################################
    // ############################################################################

    GUM_SCALAR I(NodeId X, NodeId Y);
    GUM_SCALAR I(const std::string& Xname, const std::string& Yname);

    GUM_SCALAR VI(NodeId X, NodeId Y);

    GUM_SCALAR VI(const std::string& Xname, const std::string& Yname);

    GUM_SCALAR jointMutualInformation(const NodeSet& targets);

    GUM_SCALAR jointMutualInformation(const std::vector< std::string >& targets);

 
 
    protected:
    virtual void onModelChanged_(const GraphicalModel* bn);


    virtual void onJointTargetAdded_(const NodeSet& set) = 0;


    virtual void onJointTargetErased_(const NodeSet& set) = 0;

    virtual void onAllTargetsErased_() = 0;

    virtual void onAllJointTargetsErased_() = 0;
 


    virtual const Tensor< GUM_SCALAR >& jointPosterior_(const NodeSet& set) = 0;

    virtual const Tensor< GUM_SCALAR >& jointPosterior_(const NodeSet& wanted_target,
                                                        const NodeSet& declared_target)
        = 0;

    virtual Tensor< GUM_SCALAR >* unnormalizedJointPosterior_(const NodeSet& set) = 0;

    virtual Tensor< GUM_SCALAR >* unnormalizedJointPosterior_(NodeId id) = 0;
 
 
    private:
    Set< NodeSet > _joint_targets_;
  };
 
 
}   // namespace gum
 
#include <agrum/BN/inference/tools/jointTargetedInference_tpl.h>
 
 
#endif   // GUM_BAYES_NET_JOINT_TARGETED_INFERENCE_H