aGrUM  0.20.3
a C++ library for (probabilistic) graphical models
multiDimNoisyORNet.h
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1 /**
2  *
3  * Copyright (c) 2005-2021 by 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 #ifndef GUM_MULTI_DIM_NOISY_OR_NET_H
29 #define GUM_MULTI_DIM_NOISY_OR_NET_H
30 
31 #include <agrum/tools/multidim/ICIModels/multiDimICIModel.h>
32 
33 namespace gum {
34 
35  // clang-format off
36  /**
37  * @class MultiDimNoisyORNet
38  * @headerfile multiDimNoisyORNet.h <agrum/tools/multidim/ICIModels/multiDimNoisyORNet.h>
39  * @ingroup multidim_group
40  *
41  * @brief Noisy OR representation
42  *
43  * Noisy-OR as described by Henrion (UAI-3, 1989, pp161-173)
44  *
45  * @warning
46  * - The first variable is assumed to be the NOISY-OR. The latter are
47  * the causes.
48  * - This code give probabilities for BINARY VARIABLES (other values are
49  * assumed to be of probability 0). But for optimization reason, we will
50  * never check if it is the case.
51  */
52  // clang-format on
53  template < typename GUM_SCALAR >
55  public:
56  // ============================================================================
57  /// @name Constructors / Destructors
58  // ============================================================================
59  /// @{
60 
61  /// Default constructor.
62  MultiDimNoisyORNet(GUM_SCALAR external_weight, GUM_SCALAR default_weight = (GUM_SCALAR)1.0);
63 
64  MultiDimNoisyORNet(const MultiDimNoisyORNet< GUM_SCALAR >& from);
65 
66  /**
67  * Copy constructor using a bijection to swap variables from source.
68  *
69  * @param bij First variables are new variables, seconds are in from.
70  * @param from the copied instance
71  */
72  MultiDimNoisyORNet(const Bijection< const DiscreteVariable*, const DiscreteVariable* >& bij,
73  const MultiDimNoisyORNet< GUM_SCALAR >& from);
74 
75  /// Destructor.
76  virtual ~MultiDimNoisyORNet();
77 
78  /// @}
79 
80  /**
81  * This method creates a clone of this object, withouth its content
82  * (including variable), you must use this method if you want to ensure
83  * that the generated object has the same type than the object containing
84  * the called newFactory()
85  *
86  * For example :
87  * @code
88  * MultiDimArray<double> y;
89  * MultiDimContainer<double>* x = y.newFactory();
90  * @endcode
91  *
92  * Then x is a MultiDimArray<double>*
93  *
94  * @warning you must desallocate by yourself the memory
95  * @return an empty clone of this object with the same type
96  */
97  virtual MultiDimContainer< GUM_SCALAR >* newFactory() const;
98 
99  // ============================================================================
100  /// @name Accessors / Modifiers
101  // ============================================================================
102  /// @{
103 
104  public:
105  virtual GUM_SCALAR get(const Instantiation& i) const;
106 
107  std::string toString() const;
108 
109  ///
110  /**
111  * @brief Returns the real name of the multiDimArray.
112  *
113  * In aGrUM, all the types of multi-dimensional arrays/functionals have a
114  * name that describes what they are in reality. For instance, a table
115  * stored in extension is a "MultiDimArray", one that stores only non zero
116  * elements is a "MultiDimSparseArray", and so on. These names are unique
117  * for each type of implementation and is used by the system to determine
118  * which is the best functions to use, say, when we wish to use operators
119  * such as operator+ on two MultiDimImplementations.
120  */
121  virtual const std::string& name() const;
122 
123  /// @}
124  };
125 
126 
127 #ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
128  extern template class MultiDimNoisyORNet< double >;
129 #endif
130 
131  /// For friendly displaying the content of the array.
132  template < typename GUM_SCALAR >
134 
135 } /* namespace gum */
136 
137 #include <agrum/tools/multidim/ICIModels/multiDimNoisyORNet_tpl.h>
138 
139 #endif /* GUM_MULTI_DIM_NOISY_OR_NET_H */
Noisy OR representation.
INLINE void emplace(Args &&... args)
Definition: set_tpl.h:643
virtual GUM_SCALAR get(const Instantiation &i) const
Returns the real name of the multiDimArray.
MultiDimNoisyORNet(const Bijection< const DiscreteVariable *, const DiscreteVariable * > &bij, const MultiDimNoisyORNet< GUM_SCALAR > &from)
Copy constructor using a bijection to swap variables from source.
std::string toString() const
Returns the real name of the multiDimArray.
virtual const std::string & name() const
Returns the real name of the multiDimArray.
virtual MultiDimContainer< GUM_SCALAR > * newFactory() const
This method creates a clone of this object, withouth its content (including variable), you must use this method if you want to ensure that the generated object has the same type than the object containing the called newFactory()
MultiDimNoisyORNet(GUM_SCALAR external_weight, GUM_SCALAR default_weight=(GUM_SCALAR) 1.0)
Default constructor.
MultiDimNoisyORNet(const MultiDimNoisyORNet< GUM_SCALAR > &from)
Default constructor.
std::ostream & operator<<(std::ostream &s, const MultiDimNoisyORNet< GUM_SCALAR > &ag)
For friendly displaying the content of the array.
virtual ~MultiDimNoisyORNet()
Destructor.