aGrUM 3.1.1
a C++ library for (probabilistic) graphical models
multiDimLogit_tpl.h
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40
41#pragma once
42
43
48
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(MultiDimLogit);
61 }
62
63 // Default constructor
64 template < GUM_Numeric GUM_SCALAR >
66 MultiDimICIModel< GUM_SCALAR >(from) {
67 GUM_CONS_CPY(MultiDimLogit);
68 }
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 Logit") }
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 fact = this->externalWeight();
93
94 for (Idx j = 1; j < this->nbrDim(); j++) {
95 const DiscreteVariable& v = this->variable(j);
96 fact += GUM_SCALAR(this->causalWeight(v) * this->variable(j).numerical(i.val(v)));
97 }
98
99 fact = 1 / (1 + std::exp(-fact)); // or std::exp(fact)/(1+std::exp(fact))
100 auto res = (i.val(C) == 1) ? fact : (GUM_SCALAR)1.0 - fact;
101
102 return res;
103 }
104
105 template < GUM_Numeric GUM_SCALAR >
107 std::stringstream s;
108 s << this->variable(0) << "=logit(" << this->externalWeight();
109
110 for (Idx i = 1; i < this->nbrDim(); i++) {
111 GUM_SCALAR c = this->causalWeight(this->variable(i));
112
113 if (c != GUM_SCALAR(0)) {
114 s << " ";
115
116 if (c > 0) s << "+";
117
118 s << this->causalWeight(this->variable(i)) << "*" << this->variable(i);
119 }
120 }
121
122 s << ")";
123
124 return s.str();
125 }
126
127 // For friendly displaying the content of the variable.
128 template < GUM_Numeric GUM_SCALAR >
129 std::ostream& operator<<(std::ostream& s, const MultiDimLogit< GUM_SCALAR >& ag) {
130 return s << ag.toString();
131 }
132
133 template < GUM_Numeric GUM_SCALAR >
137
138 // returns the name of the implementation
139 template < GUM_Numeric GUM_SCALAR >
140 const std::string& MultiDimLogit< GUM_SCALAR >::name() const {
141 static const std::string str = "MultiDimLogit";
142 return str;
143 }
144
145} /* 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
Logit representation.
MultiDimLogit(GUM_SCALAR external_weight, GUM_SCALAR default_weight=(GUM_SCALAR) 0.0)
Default constructor.
const std::string & name() const override
Returns the real name of the multiDimArray.
~MultiDimLogit() override
Destructor.
std::string toString() 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.
Exception : operation not allowed.
aGrUM's exceptions
#define GUM_ERROR(type, msg)
Definition exceptions.h:76
Size Idx
Type for indexes.
Definition types.h:79
Headers of gum::MultiDimImplementation.
class for LOGIT 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