paramEstimatorML.h

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/***************************************************************************
 *   Copyright (C) 2005 by Christophe GONZALES and Pierre-Henri WUILLEMIN  *
 *   {prenom.nom}_at_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 will 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_PARAM_ESTIMATOR_ML_H
#define GUM_LEARNING_PARAM_ESTIMATOR_ML_H

#include <sstream>

#include <agrum/agrum.h>
#include <agrum/learning/paramUtils/paramEstimator.h>

namespace gum {

  namespace learning {

    template < template < typename > class ALLOC = std::allocator >
    class ParamEstimatorML : public ParamEstimator< ALLOC > {
      public:
      using allocator_type = ALLOC< NodeId >;

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


      ParamEstimatorML(
         const DBRowGeneratorParser< ALLOC >& parser,
         const Apriori< ALLOC >&              external_apriori,
         const Apriori< ALLOC >&              score_internal__apriori,
         const std::vector< std::pair< std::size_t, std::size_t >,
                            ALLOC< std::pair< std::size_t, std::size_t > > >&
            ranges,
         const Bijection< NodeId, std::size_t, ALLOC< std::size_t > >&
            nodeId2columns =
               Bijection< NodeId, std::size_t, ALLOC< std::size_t > >(),
         const allocator_type& alloc = allocator_type());


      ParamEstimatorML(
         const DBRowGeneratorParser< ALLOC >& parser,
         const Apriori< ALLOC >&              external_apriori,
         const Apriori< ALLOC >&              score_internal__apriori,
         const Bijection< NodeId, std::size_t, ALLOC< std::size_t > >&
            nodeId2columns =
               Bijection< NodeId, std::size_t, ALLOC< std::size_t > >(),
         const allocator_type& alloc = allocator_type());

      ParamEstimatorML(const ParamEstimatorML< ALLOC >& from);

      ParamEstimatorML(const ParamEstimatorML< ALLOC >& from,
                       const allocator_type&            alloc);

      ParamEstimatorML(ParamEstimatorML< ALLOC >&& from);

      ParamEstimatorML(ParamEstimatorML< ALLOC >&& from,
                       const allocator_type&       alloc);

      virtual ParamEstimatorML< ALLOC >* clone() const;

      virtual ParamEstimatorML< ALLOC >* clone(const allocator_type& alloc) const;

      virtual ~ParamEstimatorML();



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


      ParamEstimatorML< ALLOC >& operator=(const ParamEstimatorML< ALLOC >& from);

      ParamEstimatorML< ALLOC >& operator=(ParamEstimatorML< ALLOC >&& from);



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

      using ParamEstimator< ALLOC >::parameters;


      virtual std::vector< double, ALLOC< double > > parameters(
         const NodeId                                  target_node,
         const std::vector< NodeId, ALLOC< NodeId > >& conditioning_nodes);

    };

  } /* namespace learning */

} /* namespace gum */

#include <agrum/learning/paramUtils/paramEstimatorML_tpl.h>

#endif /* GUM_LEARNING_PARAM_ESTIMATOR_ML_H */