aGrUM 3.1.1
a C++ library for (probabilistic) graphical models
multiDimNoisyORCompound_tpl.h
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40
41#pragma once
42
43
51
52namespace gum {
53
55
56 template < GUM_Numeric GUM_SCALAR >
58 GUM_SCALAR default_weight) :
59 MultiDimICIModel< GUM_SCALAR >(external_weight, default_weight) {
60 GUM_CONSTRUCTOR(MultiDimNoisyORCompound);
61 }
62
64
65 template < GUM_Numeric GUM_SCALAR >
70
72
73 template < GUM_Numeric GUM_SCALAR >
80
82
83 template < GUM_Numeric GUM_SCALAR >
87
88 template < GUM_Numeric GUM_SCALAR >
90 if (this->nbrDim() < 1) { GUM_ERROR(OperationNotAllowed, "Not enough variable for a NoisyOr ") }
91
92 const DiscreteVariable& C = this->variable((Idx)0);
93
94 if (i.val(C) > 1) return (GUM_SCALAR)0.0;
95
96 GUM_SCALAR ratio = (GUM_SCALAR)1.0 - this->externalWeight();
97
98 GUM_SCALAR fact = (GUM_SCALAR)ratio;
99
100 if (fact != (GUM_SCALAR)0) {
101 for (Idx j = 1; j < this->nbrDim(); j++) {
102 const DiscreteVariable& v = this->variable(j);
103
104 if (i.val(v) == 1) {
105 GUM_SCALAR pr = (1 - this->causalWeight(v)) / ratio;
106
107 if (pr == (GUM_SCALAR)0.0) {
108 fact = (GUM_SCALAR)0.0;
109 break;
110 } else {
111 fact *= pr;
112 }
113 }
114 }
115 }
116
117 return (i.val(C) != 1) ? fact : (GUM_SCALAR)1.0 - fact;
118 }
119
120 template < GUM_Numeric GUM_SCALAR >
122 std::stringstream s;
123 s << MultiDimImplementation< GUM_SCALAR >::variable(0) << "=noisyORCompound(["
124 << this->externalWeight() << "]";
125
126 for (Idx i = 1; i < MultiDimImplementation< GUM_SCALAR >::nbrDim(); i++)
129
130 s << ")";
131 return s.str();
132 }
133
134 // For friendly displaying the content of the variable.
135
136 template < GUM_Numeric GUM_SCALAR >
137 std::ostream& operator<<(std::ostream& s, const MultiDimNoisyORCompound< GUM_SCALAR >& ag) {
138 return s << ag.toString();
139 }
140
141 template < GUM_Numeric GUM_SCALAR >
146
147 // returns the name of the implementation
148 template < GUM_Numeric GUM_SCALAR >
150 static const std::string str = "MultiDimNoisyORCompound";
151 return str;
152 }
153
154 // ==================================================
155} /* 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
MultiDimNoisyORCompound(GUM_SCALAR external_weight, GUM_SCALAR default_weight=(GUM_SCALAR) 1.0)
Default constructor.
const std::string & name() const override
returns the real name of the multiDimArray
MultiDimContainer< GUM_SCALAR > * newFactory() const override
This method creates a clone of this object, withouth its content (including variable),...
GUM_SCALAR get(const Instantiation &i) const override
returns the real name of the multiDimArray
std::string toString() const override
returns the real name of the multiDimArray
Exception : operation not allowed.
#define GUM_ERROR(type, msg)
Definition exceptions.h:76
Size Idx
Type for indexes.
Definition types.h:79
class for multiDimNoisyORCompound
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