aGrUM 3.1.1
a C++ library for (probabilistic) graphical models
multiDimNoisyORNet_tpl.h
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40
41#pragma once
42
43
50
52
53namespace gum {
54
55 // Default constructor
56 template < GUM_Numeric GUM_SCALAR >
58 GUM_SCALAR default_weight) :
59 MultiDimICIModel< GUM_SCALAR >(external_weight, default_weight) {
60 GUM_CONSTRUCTOR(MultiDimNoisyORNet);
61 }
62
63 // Default constructor
64 template < GUM_Numeric GUM_SCALAR >
69
70 // Copy constructor using a bijection to replace variables from source.
71 template < GUM_Numeric GUM_SCALAR >
77
78 // destructor
79 template < GUM_Numeric GUM_SCALAR >
83
84 template < GUM_Numeric GUM_SCALAR >
86 if (this->nbrDim() < 1) { GUM_ERROR(OperationNotAllowed, "Not enough variable for a NoisyOr ") }
87
88 const DiscreteVariable& C = this->variable((Idx)0);
89
90 if (i.val(C) > 1) return (GUM_SCALAR)0.0;
91
92 GUM_SCALAR ratio = (GUM_SCALAR)1.0 - this->externalWeight();
93
94 GUM_SCALAR fact = (GUM_SCALAR)ratio;
95
96 if (fact != (GUM_SCALAR)0) {
97 for (Idx j = 1; j < this->nbrDim(); j++) {
98 const DiscreteVariable& v = this->variable(j);
99
100 if (i.val(v) == 1) {
101 GUM_SCALAR pr = (1 - this->causalWeight(v));
102
103 if (pr == (GUM_SCALAR)0.0) {
104 fact = (GUM_SCALAR)0.0;
105 break;
106 } else {
107 fact *= pr;
108 }
109 }
110 }
111 }
112
113 return (i.val(C) != 1) ? fact : (GUM_SCALAR)1.0 - fact;
114 }
115
116 template < GUM_Numeric GUM_SCALAR >
118 std::stringstream s;
119 s << MultiDimImplementation< GUM_SCALAR >::variable(0) << "=noisyORNet(["
120 << this->externalWeight() << "]";
121
122 for (Idx i = 1; i < MultiDimImplementation< GUM_SCALAR >::nbrDim(); i++)
125
126 s << ")";
127 return s.str();
128 }
129
130 // For friendly displaying the content of the variable.
131 template < GUM_Numeric GUM_SCALAR >
132 std::ostream& operator<<(std::ostream& s, const MultiDimNoisyORNet< GUM_SCALAR >& ag) {
133 return s << ag.toString();
134 }
135
136 template < GUM_Numeric GUM_SCALAR >
140
141 // returns the name of the implementation
142 template < GUM_Numeric GUM_SCALAR >
143 const std::string& MultiDimNoisyORNet< GUM_SCALAR >::name() const {
144 static const std::string str = "MultiDimNoisyORNet";
145 return str;
146 }
147
148} /* namespace gum */
Set of pairs of elements with fast search for both elements.
Definition bijection.h:1640
Base class for discrete random variable.
Class for assigning/browsing values to tuples of discrete variables.
Idx val(Idx i) const
Returns the current value of the variable at position i.
MultiDimICIModel(GUM_SCALAR external_weight, GUM_SCALAR default_weight=(GUM_SCALAR) 1.0)
GUM_SCALAR causalWeight(const DiscreteVariable &v) const
const DiscreteVariable & variable(Idx i) const override
Noisy OR representation.
MultiDimContainer< GUM_SCALAR > * newFactory() const override
This method creates a clone of this object, withouth its content (including variable),...
const std::string & name() const final
Returns the real name of the multiDimArray.
GUM_SCALAR get(const Instantiation &i) const final
Returns the real name of the multiDimArray.
std::string toString() const final
Returns the real name of the multiDimArray.
MultiDimNoisyORNet(GUM_SCALAR external_weight, GUM_SCALAR default_weight=(GUM_SCALAR) 1.0)
Default constructor.
~MultiDimNoisyORNet() final
Destructor.
Exception : operation not allowed.
#define GUM_ERROR(type, msg)
Definition exceptions.h:76
Size Idx
Type for indexes.
Definition types.h:79
class for NoisyOR-net implementation as multiDim
gum is the global namespace for all aGrUM entities
Definition agrum.h:46
std::ostream & operator<<(std::ostream &stream, const AVLTree< Val, Cmp > &tree)
display the content of a tree