prior.h

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#ifndef GUM_LEARNING_PRIOR_H
#define GUM_LEARNING_PRIOR_H
 
#include <string>
#include <vector>
 
#include <agrum/agrum.h>
 
#include <agrum/base/database/databaseTable.h>
#include <agrum/base/stattests/idCondSet.h>
 
namespace gum {
 
  namespace learning {
    enum class PriorType {
      DirichletPriorType,
      SmoothingPriorType,
      NoPriorType,
      BDeuPriorType,
    };
 
    constexpr const char* priorTypeToString(PriorType e) noexcept {
      switch (e) {
        case PriorType::NoPriorType : return "No prior";
        case PriorType::DirichletPriorType : return "Dirichlet prior";
        case PriorType::SmoothingPriorType : return "TriSmoothing prior";
        case PriorType::BDeuPriorType : return "BDeu prior";
      }
      return "Error in prior";
    }

    class Prior {
      public:
      // ##########################################################################
      // ##########################################################################


      explicit Prior(const DatabaseTable&                    database,
                     const Bijection< NodeId, std::size_t >& nodeId2columns
                     = Bijection< NodeId, std::size_t >());

      virtual Prior* clone() const = 0;

      virtual ~Prior();

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

      virtual void setWeight(double weight);

      double weight() const;

      virtual PriorType getType() const = 0;


      virtual bool isInformative() const = 0;


      virtual void addJointPseudoCount(const IdCondSet& idset, std::vector< double >& counts) = 0;

      virtual void addConditioningPseudoCount(const IdCondSet& idset, std::vector< double >& counts)
          = 0;

 
 
      protected:
      double weight_{1.0};

      const DatabaseTable* database_;

      Bijection< NodeId, std::size_t > nodeId2columns_;
 

      Prior(const Prior& from);

      Prior(Prior&& from);

      Prior& operator=(const Prior& from);

      Prior& operator=(Prior&& from);
    };
 
  } /* namespace learning */
 
} /* namespace gum */
 
// include the inlined functions if necessary
#ifndef GUM_NO_INLINE
#  include <agrum/BN/learning/priors/prior_inl.h>
#endif /* GUM_NO_INLINE */
 
#endif /* GUM_LEARNING_PRIOR_H */