aGrUM  0.20.2
a C++ library for (probabilistic) graphical models
multiDimNoisyORNet_tpl.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 /**
23  * @file
24  * @brief class for NoisyOR-net implementation as multiDim
25  *
26  * @author Pierre-Henri WUILLEMIN(@LIP6) & Christophe GONZALES(@AMU)
27  */
28 
29 #include <agrum/tools/multidim/ICIModels/multiDimNoisyORNet.h>
30 
31 namespace gum {
32 
33  // Default constructor
34  template < typename GUM_SCALAR >
35  INLINE MultiDimNoisyORNet< GUM_SCALAR >::MultiDimNoisyORNet(
40  }
41 
42  // Default constructor
43  template < typename GUM_SCALAR >
48  }
49 
50  // Copy constructor using a bijection to replace variables from source.
51  template < typename GUM_SCALAR >
53  const Bijection< const DiscreteVariable*, const DiscreteVariable* >& bij,
57  }
58 
59  // destructor
60  template < typename GUM_SCALAR >
63  }
64 
65  template < typename GUM_SCALAR >
67  if (this->nbrDim() < 1) {
68  GUM_ERROR(OperationNotAllowed, "Not enough variable for a NoisyOr ");
69  }
70 
71  const DiscreteVariable& C = this->variable((Idx)0);
72 
73  if (i.val(C) > 1) return (GUM_SCALAR)0.0;
74 
75  GUM_SCALAR ratio = (GUM_SCALAR)1.0 - this->externalWeight();
76 
78 
79  if (fact != (GUM_SCALAR)0) {
80  for (Idx j = 1; j < this->nbrDim(); j++) {
81  const DiscreteVariable& v = this->variable(j);
82 
83  if (i.val(v) == 1) {
84  GUM_SCALAR pr = (1 - this->causalWeight(v));
85 
86  if (pr == (GUM_SCALAR)0.0) {
87  fact = (GUM_SCALAR)0.0;
88  break;
89  } else {
90  fact *= pr;
91  }
92  }
93  }
94  }
95 
96  return (i.val(C) != 1) ? fact : (GUM_SCALAR)1.0 - fact;
97  }
98 
99  template < typename GUM_SCALAR >
101  std::stringstream s;
102  s << MultiDimImplementation< GUM_SCALAR >::variable(0) << "=noisyORNet(["
103  << this->externalWeight() << "],";
104 
105  for (Idx i = 1; i < MultiDimImplementation< GUM_SCALAR >::nbrDim(); i++) {
108  << "]";
109  }
110 
111  s << ")";
112 
113  std::string res;
114  s >> res;
115  return res;
116  }
117 
118  // For friendly displaying the content of the variable.
119  template < typename GUM_SCALAR >
121  const MultiDimNoisyORNet< GUM_SCALAR >& ag) {
122  return s << ag.toString();
123  }
124 
125  template < typename GUM_SCALAR >
128  return new MultiDimNoisyORNet< GUM_SCALAR >(this->external_weight__,
129  this->default_weight__);
130  }
131 
132  // returns the name of the implementation
133  template < typename GUM_SCALAR >
135  static const std::string str = "MultiDimNoisyORNet";
136  return str;
137  }
138 
139 } /* namespace gum */
INLINE void emplace(Args &&... args)
Definition: set_tpl.h:669