independenceTest.h

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#ifndef GUM_LEARNING_INDEPENDENCE_TEST_H
#define GUM_LEARNING_INDEPENDENCE_TEST_H
 
#include <agrum/base/stattests/cachedContingencyCounter.h>
 
namespace gum {
 
  namespace learning {

    class IndependenceTest: public CachedContingencyCounter {
      public:
      // ##########################################################################
      // ##########################################################################


      IndependenceTest(const DBRowGeneratorParser&                                 parser,
                       const Prior&                                                external_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 >());
 


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

      [[nodiscard]] virtual IndependenceTest* clone() const = 0;

      ~IndependenceTest() override;


      virtual std::pair< double, double >
          statistics(NodeId var1, NodeId var2, const std::vector< NodeId >& rhs_ids = {}) = 0;


 
 
      protected:
      IndependenceTest(const IndependenceTest& from);

      IndependenceTest(IndependenceTest&& from);

      IndependenceTest& operator=(const IndependenceTest& from);

      IndependenceTest& operator=(IndependenceTest&& from);

      std::vector< std::size_t > _domain_sizes_;


      static Size degreesOfFreedom_(std::size_t X_size,
                                    std::size_t Y_size,
                                    std::size_t Z_size    = 1,
                                    std::size_t n_skipped = 0);


      std::vector< double > marginalize_(const std::size_t            node_2_marginalize,
                                         const std::size_t            X_size,
                                         const std::size_t            Y_size,
                                         const std::size_t            Z_size,
                                         const std::vector< double >& N_xyz) const;


      template < typename CellContribFn >
      std::pair< double, double > computeStatistics_(const IdCondSet& idset,
                                                     CellContribFn    cellContrib);
    };
 
  } /* namespace learning */
 
} /* namespace gum */

#include <agrum/base/stattests/independenceTest_tpl.h>
 
// include the inlined functions if necessary
#ifndef GUM_NO_INLINE
#  include <agrum/base/stattests/independenceTest_inl.h>
#endif /* GUM_NO_INLINE */
 
#endif /* GUM_LEARNING_INDEPENDENCE_TEST_H */