scoreLog2Likelihood.h

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#ifndef GUM_LEARNING_SCORE_LOG2_LIKELIHOOD_H
#define GUM_LEARNING_SCORE_LOG2_LIKELIHOOD_H
 
#include <string>
 
#include <agrum/agrum.h>
 
#include <agrum/BN/learning/priors/noPrior.h>
 
#include <agrum/BN/learning/scores_and_tests/score.h>
 
namespace gum {
 
  namespace learning {

    class ScoreLog2Likelihood: public Score {
      public:
      // ##########################################################################
      // ##########################################################################


      ScoreLog2Likelihood(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 >());
 


      ScoreLog2Likelihood(const DBRowGeneratorParser&             parser,
                          const Prior&                            prior,
                          const Bijection< NodeId, std::size_t >& nodeId2columns
                          = Bijection< NodeId, std::size_t >());

      ScoreLog2Likelihood(const ScoreLog2Likelihood& from);

      ScoreLog2Likelihood(ScoreLog2Likelihood&& from);

      virtual ScoreLog2Likelihood* clone() const;

      virtual ~ScoreLog2Likelihood();

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


      ScoreLog2Likelihood& operator=(const ScoreLog2Likelihood& from);

      ScoreLog2Likelihood& operator=(ScoreLog2Likelihood&& from);

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


      virtual std::string isPriorCompatible() const final;


      virtual const Prior& internalPrior() const final;
 
      using Score::score;


      double score(const IdCondSet& idset);

 


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


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

      virtual double score_(const IdCondSet& idset) final;
 
 
#ifndef DOXYGEN_SHOULD_SKIP_THIS
 
      private:
      NoPrior _internal_prior_;
 
#endif /* DOXYGEN_SHOULD_SKIP_THIS */
    };
 
  } /* namespace learning */
 
} /* namespace gum */
 
// include the inlined functions if necessary
#ifndef GUM_NO_INLINE
#  include <agrum/BN/learning/scores_and_tests/scoreLog2Likelihood_inl.h>
#endif /* GUM_NO_INLINE */
 
#endif /* GUM_LEARNING_SCORE_LOG2_LIKELIHOOD_H */