scorefNML.h

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#ifndef GUM_LEARNING_SCORE_FNML_H
#define GUM_LEARNING_SCORE_FNML_H
 
#include <string>
 
#include <agrum/agrum.h>
 
#include <agrum/base/core/math/variableLog2ParamComplexity.h>
#include <agrum/BN/learning/priors/noPrior.h>
#include <agrum/BN/learning/scores/score.h>
 
namespace gum {
 
  namespace learning {
 

    class ScorefNML: public Score {
      public:
      // ##########################################################################
      // ##########################################################################


      ScorefNML(const DBRowGeneratorParser&                                 parser,
                const Prior&                                                prior,
                const std::vector< std::pair< std::size_t, std::size_t > >& ranges,
                const Bijection< NodeId, std::size_t >&                     nodeId2columns
                = Bijection< NodeId, std::size_t >());
 


      ScorefNML(const DBRowGeneratorParser&             parser,
                const Prior&                            prior,
                const Bijection< NodeId, std::size_t >& nodeId2columns
                = Bijection< NodeId, std::size_t >());

      ScorefNML(const ScorefNML& from);

      ScorefNML(ScorefNML&& from);

      [[nodiscard]] ScorefNML* clone() const override;

      ~ScorefNML() override;

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


      ScorefNML& operator=(const ScorefNML& from);

      ScorefNML& operator=(ScorefNML&& from);

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


      std::string isPriorCompatible() const final;


      const Prior& internalPrior() const final;

 


      static std::string isPriorCompatible(PriorType prior_type, double weight = 1.0f);


      static std::string isPriorCompatible(const Prior& prior);
 
 
      protected:

      double score_(const IdCondSet& idset) final;
 
 
#ifndef DOXYGEN_SHOULD_SKIP_THIS
 
      private:
      NoPrior _internal_prior_;

      VariableLog2ParamComplexity _ctable_;
 
#endif /* DOXYGEN_SHOULD_SKIP_THIS */
    };
 
 
  } /* namespace learning */
 
 
} /* namespace gum */
 
// include the inlined functions if necessary
#ifndef GUM_NO_INLINE
#  include <agrum/BN/learning/scores/scorefNML_inl.h>
#endif /* GUM_NO_INLINE */
 
#endif /* GUM_LEARNING_SCORE_FNML_H */