noPrior.h

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#ifndef GUM_LEARNING_PRIOR_NO_prior_H
#define GUM_LEARNING_PRIOR_NO_prior_H
 
#include <vector>
 
#include <agrum/agrum.h>
 
#include <agrum/BN/learning/priors/prior.h>
 
namespace gum {
 
  namespace learning {

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


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

      NoPrior(const NoPrior& from);

      NoPrior(NoPrior&& from);

      virtual NoPrior* clone() const;

      virtual ~NoPrior();

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

      NoPrior& operator=(const NoPrior& from);

      NoPrior& operator=(NoPrior&& from);

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

      void setWeight(const double weight) final;

      PriorType getType() const final;


      bool isInformative() const final;


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

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

    };
 
  } /* namespace learning */
 
} /* namespace gum */
 
// include the inlined functions if necessary
#ifndef GUM_NO_INLINE
#  include <agrum/BN/learning/priors/noPrior_inl.h>
#endif /* GUM_NO_INLINE */
 
#endif /* GUM_LEARNING_PRIOR_NO_prior_H */