kNML.h

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#ifndef GUM_LEARNING_K_NML_H
#define GUM_LEARNING_K_NML_H
 
#include <vector>
 
#include <agrum/base/core/math/variableLog2ParamComplexity.h>
#include <agrum/base/stattests/independenceTest.h>
 
namespace gum {
 
  namespace learning {
 

    class KNML: private IndependenceTest {
      public:
      // ##########################################################################
      // ##########################################################################


      KNML(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 >());
 


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

      KNML(const KNML& from);

      KNML(KNML&& from);

      virtual KNML* clone() const;

      virtual ~KNML();

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


      KNML& operator=(const KNML& from);

      KNML& operator=(KNML&& from);

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

      using IndependenceTest::setNumberOfThreads;

      using IndependenceTest::getNumberOfThreads;

      using IndependenceTest::isGumNumberOfThreadsOverriden;

      using IndependenceTest::setMinNbRowsPerThread;

      using IndependenceTest::minNbRowsPerThread;


      using IndependenceTest::setRanges;

      using IndependenceTest::clearRanges;

      using IndependenceTest::ranges;

      using IndependenceTest::score;

      virtual void clear();

      virtual void clearCache();

      virtual void useCache(const bool on_off);


      using IndependenceTest::nodeId2Columns;

      using IndependenceTest::database;

 
 
      protected:

      virtual double score_(const IdCondSet& idset) final;
 
 
#ifndef DOXYGEN_SHOULD_SKIP_THIS
 
      private:
      VariableLog2ParamComplexity _param_complexity_;
 
#endif /* DOXYGEN_SHOULD_SKIP_THIS */
    };
 
  } /* namespace learning */
 
} /* namespace gum */
 
// include the inlined functions if necessary
#ifndef GUM_NO_INLINE
#  include <agrum/base/stattests/kNML_inl.h>
#endif /* GUM_NO_INLINE */
 
#endif /* GUM_LEARNING_K_NML_H */