informationTheory.h

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 *       - Christophe GONZALES(_at_AMU)                                     *
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 *       - Pierre-Henri WUILLEMIN(_at_LIP6)                                 *
 *       - Christophe GONZALES(_at_AMU)                                     *
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#ifndef GUM_INFORMATION_THEORY_H
#define GUM_INFORMATION_THEORY_H
#include <concepts>
#include <functional>
 
#include <agrum/agrum.h>
 
#include <agrum/base/multidim/tensor.h>
 
namespace gum {
  template < typename T >
  concept JointTargettable = requires(T t, const NodeSet& target) {
    { t.addJointTarget(target) } -> std::same_as< void >;
  };

  template < template < typename > class INFERENCE_ENGINE, typename GUM_SCALAR >
  //@todo when CLANG-compliant for virtual class:  requires JointTargettable< INFERENCE_ENGINE<
  // GUM_SCALAR > >
  class InformationTheory {
    public:
    InformationTheory(INFERENCE_ENGINE< GUM_SCALAR >& engine,
                      NodeSet                         X,   // X,Y,Z passed by Value & move
                      NodeSet                         Y,
                      NodeSet                         Z);
    InformationTheory(INFERENCE_ENGINE< GUM_SCALAR >& engine, const NodeSet& X, const NodeSet& Y);
    InformationTheory(INFERENCE_ENGINE< GUM_SCALAR >&   engine,
                      const std::vector< std::string >& Xnames,
                      const std::vector< std::string >& Ynames);
    InformationTheory(INFERENCE_ENGINE< GUM_SCALAR >&   engine,
                      const std::vector< std::string >& Xnames,
                      const std::vector< std::string >& Ynames,
                      const std::vector< std::string >& Znames);
    ~InformationTheory();
 
    GUM_SCALAR entropyXY();
    GUM_SCALAR entropyX();
    GUM_SCALAR entropyY();
 
    GUM_SCALAR entropyXgivenY();
    GUM_SCALAR entropyYgivenX();
    GUM_SCALAR mutualInformationXY();
    GUM_SCALAR variationOfInformationXY();
 
 
    GUM_SCALAR entropyXgivenZ();
    GUM_SCALAR entropyYgivenZ();
    GUM_SCALAR entropyXYgivenZ();
    GUM_SCALAR entropyXgivenYZ();
    GUM_SCALAR mutualInformationXYgivenZ();
 
    protected:
    INFERENCE_ENGINE< GUM_SCALAR >& engine_;
 
    const NodeSet X_;
    const NodeSet Y_;
    const NodeSet Z_;
 
    VariableSet vX_;
    VariableSet vY_;
    VariableSet vZ_;
 
    Tensor< GUM_SCALAR > pXYZ_;
    Tensor< GUM_SCALAR > pXY_;
    Tensor< GUM_SCALAR > pXZ_;
    Tensor< GUM_SCALAR > pYZ_;
    Tensor< GUM_SCALAR > pX_;
    Tensor< GUM_SCALAR > pY_;
    Tensor< GUM_SCALAR > pZ_;
 
    void makeInference_();
  };
}   // namespace gum
 
#include <agrum/base/graphicalModels/algorithms/informationTheory_tpl.h>
#endif   // GUM_INFORMATION_THEORY_H