DBRowGeneratorEM.h

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#ifndef GUM_LEARNING_DBROW_GENERATOR_EM_H
#define GUM_LEARNING_DBROW_GENERATOR_EM_H
 
#include <vector>
 
#include <agrum/agrum.h>
 
#include <agrum/base/database/DBRowGeneratorWithBN.h>
 
namespace gum {
 
  namespace learning {

    template < typename GUM_SCALAR = double >
    class DBRowGeneratorEM: public DBRowGeneratorWithBN< GUM_SCALAR > {
      public:
      // ##########################################################################
      // ##########################################################################


      DBRowGeneratorEM(const std::vector< DBTranslatedValueType >& column_types,
                       const BayesNet< GUM_SCALAR >&               bn,
                       const Bijection< NodeId, std::size_t >&     nodeId2columns
                       = Bijection< NodeId, std::size_t >());

      DBRowGeneratorEM(const DBRowGeneratorEM< GUM_SCALAR >& from);

      DBRowGeneratorEM(DBRowGeneratorEM< GUM_SCALAR >&& from);

      DBRowGeneratorEM< GUM_SCALAR >* clone() const final;

      ~DBRowGeneratorEM();

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


      DBRowGeneratorEM< GUM_SCALAR >& operator=(const DBRowGeneratorEM< GUM_SCALAR >& from);

      DBRowGeneratorEM< GUM_SCALAR >& operator=(DBRowGeneratorEM< GUM_SCALAR >&& from);

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


      virtual const DBRow< DBTranslatedValue >& generate() override final;

      virtual void setBayesNet(const BayesNet< GUM_SCALAR >& new_bn) override final;

 
 
      protected:
      virtual std::size_t computeRows_(const DBRow< DBTranslatedValue >& row) override final;
 
 
#ifndef DOXYGEN_SHOULD_SKIP_THIS
 
      private:
      const DBRow< DBTranslatedValue >* _input_row_{nullptr};

      std::vector< std::size_t > _missing_cols_;

      std::size_t _nb_miss_;

      Tensor< GUM_SCALAR > _joint_proba_;

      Instantiation* _joint_inst_{nullptr};


      DBRow< DBTranslatedValue > _filled_row1_;

      DBRow< DBTranslatedValue > _filled_row2_;

      bool _use_filled_row1_{true};

      double _original_weight_;
 
 
#endif /* DOXYGEN_SHOULD_SKIP_THIS */
    };
 
  } /* namespace learning */
 
} /* namespace gum */
 
// always include the template implementation
#include <agrum/base/database/DBRowGeneratorEM_tpl.h>
 
#endif /* GUM_LEARNING_DBROW_GENERATOR_EM_H */