structuralComparator.h

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/***************************************************************************
 *   Copyright (C) 2005 by Christophe GONZALES and Pierre-Henri WUILLEMIN  *
 *   {prenom.nom}@lip6.fr                                                  *
 *                                                                         *
 *   This program is free software; you can redistribute it and/or modify  *
 *   it under the terms of the GNU General Public License as published by  *
 *   the Free Software Foundation; either version 2 of the License, or     *
 *   (at your option) any later version.                                   *
 *                                                                         *
 *   This program is distributed in the hope that it wil be useful,        *
 *   but WITHOUT ANY WARRANTY; without even the implied warranty of        *
 *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the         *
 *   GNU General Public License for more details.                          *
 *                                                                         *
 *   You should have received a copy of the GNU General Public License     *
 *   along with this program; if not, write to the                         *
 *   Free Software Foundation, Inc.,                                       *
 *   59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.             *
 ***************************************************************************/
#ifndef GUM_LEARNING_STRUCTURAL_COMPARATOR_H
#define GUM_LEARNING_STRUCTURAL_COMPARATOR_H

#include <agrum/BN/BayesNet.h>
#include <agrum/graphs/diGraph.h>
#include <agrum/graphs/mixedGraph.h>
#include <agrum/graphs/undiGraph.h>


namespace gum {

  class StructuralComparator {
    public:
    // ##########################################################################
    // ##########################################################################

    StructuralComparator();

    ~StructuralComparator();


    // ##########################################################################
    // ##########################################################################
    void compare(const DiGraph& ref, const DiGraph& test);
    void compare(const UndiGraph& ref, const UndiGraph& test);
    void compare(const MixedGraph& ref, const MixedGraph& test);
    template < typename GS1, typename GS2 >
    void compare(const BayesNet< GS1 >& ref, const BayesNet< GS2 >& test);
    template < typename GUM_SCALAR >
    void compare(const BayesNet< GUM_SCALAR >& ref, const MixedGraph& test);
    template < typename GUM_SCALAR >
    void compare(const MixedGraph& ref, const BayesNet< GUM_SCALAR >& test);

    double precision_skeleton() const;
    double recall_skeleton() const;
    double f_score_skeleton() const;

    double precision() const;
    double recall() const;
    double f_score() const;

    protected:
    private:
    /*   __________________________________________________
     *  |   \predicted |           |           |           |
     *  |true\         |    -->    |    ---    |     X     |
     *  |--------------|-----------|-----------|-----------|
     *  |      -->     | true arc  |wrong edge |wrong none |
     *  |              | mis. arc  |      arc  |      arc  |
     *  |--------------|-----------|-----------|-----------|
     *  |      ---     |wrong arc  | true edge |wrong none |
     *  |              |      edge |           |      edge |
     *  |--------------|-----------|-----------|-----------|
     *  |       X      |wrong arc  |wrong edge | true none |
     *  |              |      none |      none |           |
     *  |______________|___________|___________|___________|
     *
     */
    double __true_edge, __true_arc, __true_none;
    double __wrong_edge_arc, __wrong_edge_none;
    double __wrong_arc_edge, __wrong_arc_none, __misoriented_arc;
    double __wrong_none_edge, __wrong_none_arc;
    // double __precision, __recall, __f_score;
  };

} /* namespace gum */

#include <agrum/BN/algorithms/structuralComparator_tpl.h>

#endif /* GUM_LEARNING_STRUCTURAL_COMPARATOR_H */