aGrUM  0.20.2
a C++ library for (probabilistic) graphical models
localSearchWithTabuList_inl.h
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1 /**
2  *
3  * Copyright 2005-2020 Pierre-Henri WUILLEMIN(@LIP6) & Christophe GONZALES(@AMU)
4  * info_at_agrum_dot_org
5  *
6  * This library is free software: you can redistribute it and/or modify
7  * it under the terms of the GNU Lesser General Public License as published by
8  * the Free Software Foundation, either version 3 of the License, or
9  * (at your option) any later version.
10  *
11  * This library is distributed in the hope that it will be useful,
12  * but WITHOUT ANY WARRANTY; without even the implied warranty of
13  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
14  * GNU Lesser General Public License for more details.
15  *
16  * You should have received a copy of the GNU Lesser General Public License
17  * along with this library. If not, see <http://www.gnu.org/licenses/>.
18  *
19  */
20 
21 
22 /** @file
23  * @brief The local search learning algorithm (for directed graphs)
24  *
25  * @author Christophe GONZALES(@AMU) and Pierre-Henri WUILLEMIN(@LIP6)
26  */
27 #ifndef DOXYGEN_SHOULD_SKIP_THIS
28 
29 namespace gum {
30 
31  namespace learning {
32 
33  /// default constructor
40  }
41 
42  /// copy constructor
48  }
49 
50  /// move constructor
51  INLINE
57  }
58 
59  /// destructor
62  }
63 
64  /// copy operator
65  INLINE LocalSearchWithTabuList&
69  return *this;
70  }
71 
72  /// move operator
77  return *this;
78  }
79 
80  /// set the max number of changes decreasing the score that we allow to
81  /// apply
84  }
85 
86  /// returns the approximation policy of the learning algorithm
88  return *this;
89  }
90 
91  } /* namespace learning */
92 
93 } /* namespace gum */
94 
95 #endif /* DOXYGEN_SHOULD_SKIP_THIS */
INLINE void emplace(Args &&... args)
Definition: set_tpl.h:669
Database(const std::string &filename, const BayesNet< GUM_SCALAR > &bn, const std::vector< std::string > &missing_symbols)