groundedInference.h

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/**
 *
 *   Copyright (c) 2005-2021 by Pierre-Henri WUILLEMIN(@LIP6) & Christophe GONZALES(@AMU)
 *   info_at_agrum_dot_org
 *
 *  This library is free software: you can redistribute it and/or modify
 *  it under the terms of the GNU Lesser General Public License as published by
 *  the Free Software Foundation, either version 3 of the License, or
 *  (at your option) any later version.
 *
 *  This library 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 Lesser General Public License for more details.
 *
 *  You should have received a copy of the GNU Lesser General Public License
 *  along with this library.  If not, see <http://www.gnu.org/licenses/>.
 *
 */


/**
 * @file
 * @brief Headers of GroundedInference.
 *
 * @author Lionel TORTI and Pierre-Henri WUILLEMIN(@LIP6)
 */
#ifndef GUM_GROUNDED_INFERENCE_H
#define GUM_GROUNDED_INFERENCE_H

#include <agrum/BN/inference/tools/marginalTargetedInference.h>
#include <agrum/PRM/inference/PRMInference.h>

namespace gum {
  namespace prm {
    /**
     * @class GroundedInference groundedInference.h
     *<agrum/PRM/groundedInference.h>
     * @brief This class is used to realise grounded inference in a
     *PRM<GUM_SCALAR>.
     *
     * The best way to build this class is to use the static creation methods.
     *
     */
    template < typename GUM_SCALAR >
    class GroundedInference: public PRMInference< GUM_SCALAR > {
      public:
      // ========================================================================
      /// @name Constructor & destructor.
      // ========================================================================
      /// @{

      /// Default constructor.
      GroundedInference(const PRM< GUM_SCALAR >& prm, const PRMSystem< GUM_SCALAR >& system);

      /// Destructor.
      virtual ~GroundedInference();

      /// @}
      // ========================================================================
      /// @name Getters & setters.
      // ========================================================================
      /// @{

      /**
       * @brief Returns the bayesnet inference engine used by this class.
       * @return the bayesnet inference engine used by this class.
       *
       * @throw NotFound Raised if no inference engine have been defined for
       *                 this class.
       */
      MarginalTargetedInference< GUM_SCALAR >& getBNInference();

      /**
       * @brief Defines the bayesnet inference engine used by this class.
       * The inference engine is given to this class, it will be deleted
       * when ~GroundedInference() is called.
       * @param bn_inf The bayesnet inference engine used by this class.
       *
       * @throw OperationNotAllowed If bn_inf does not inference over the
       *                            SystemBayesNet of this class.
       * @todo MarginalTargetedInference should have copy constructors.
       */
      void setBNInference(MarginalTargetedInference< GUM_SCALAR >* bn_inf);

      virtual std::string name() const;

      /// @}
      protected:
      // ========================================================================
      /// @name Private evidence handling methods and members.
      // ========================================================================
      /// @{

      /// This method is called whenever an evidence is added, but AFTER
      /// any processing made by PRMInference.
      virtual void evidenceAdded_(const typename PRMInference< GUM_SCALAR >::Chain& chain);

      /// This method is called whenever an evidence is removed, but BEFORE
      /// any processing made by PRMInference.
      virtual void evidenceRemoved_(const typename PRMInference< GUM_SCALAR >::Chain& chain);

      /// @brief Generic method to compute the marginal of given element.
      /// @param chain
      /// @param m CPF filled with the marginal of elt. It is initialized
      ///          properly.
      virtual void posterior_(const typename PRMInference< GUM_SCALAR >::Chain& chain,
                              Potential< GUM_SCALAR >&                          m);

      /// @brief Generic method to compute the marginal of given element.
      /// @param queries Set of pairs of PRMInstance and PRMAttribute.
      /// @param j CPF filled with the joint probability of queries. It is
      ///          initialized properly.
      virtual void joint_(const std::vector< typename PRMInference< GUM_SCALAR >::Chain >& queries,
                          Potential< GUM_SCALAR >&                                         j);

      /// @}
      private:
      /// Copy constructor.
      GroundedInference(const GroundedInference& source);

      /// Copy operator.
      GroundedInference& operator=(const GroundedInference& source);

      /// The bayesnet inference engine used by this class.
      MarginalTargetedInference< GUM_SCALAR >* _inf_;

      List< const Potential< GUM_SCALAR >* > _obs_;
    };


#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
    extern template class GroundedInference< double >;
#endif


  } /* namespace prm */
} /* namespace gum */

#include <agrum/PRM/inference/groundedInference_tpl.h>

#endif /* GUM_GROUNDED_INFERENCE_H */