aGrUM 3.1.1
a C++ library for (probabilistic) graphical models
median_tpl.h
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40
41#pragma once
42
43
50
51#include <vector>
52
53// to ease parser in IDEs
56
57namespace gum {
58
59 namespace aggregator {
60 template < GUM_Numeric GUM_SCALAR >
62 GUM_CONSTRUCTOR(Median);
63 }
64
65 template < GUM_Numeric GUM_SCALAR >
67 MultiDimAggregator< GUM_SCALAR >(from) {
68 GUM_CONS_CPY(Median);
69 }
70
71 template < GUM_Numeric GUM_SCALAR >
73 GUM_DESTRUCTOR(Median);
74 }
75
76 template < GUM_Numeric GUM_SCALAR >
78 return "median";
79 }
80
81 template < GUM_Numeric GUM_SCALAR >
85
86 template < GUM_Numeric GUM_SCALAR >
88 if (i.nbrDim() < 2) return i.nbrDim() / 2; // arbitrary. Guess = (max-min)/2 .
89
90 // we assume that every (parent) variable has the same domainSize
91 Idx maxVal = i.variable(1).domainSize();
92
93 std::vector< Idx > cum(maxVal, 0);
94
95 for (Idx j = 1; j < this->nbrDim(); j++)
96 cum[i.val(j)]++;
97
98 Idx half = (this->nbrDim() + 1) / 2; // 50% of the population
99
100 Idx max = maxVal;
101 for (Idx j = 0, sumcum = 0; j < maxVal; j++)
102 if ((sumcum += cum[j]) >= half) {
103 max = j;
104 break;
105 }
106 Idx maxR = maxVal;
107 for (Idx j = maxVal - 1, jj = 0, sumcum = 0; jj < maxVal; jj++, j--)
108 if ((sumcum += cum[j]) >= half) {
109 maxR = j;
110 break;
111 }
112
113 // multiDimAggregator::get will truncate if needed.
114 return (maxR + max) / 2;
115 }
116
117 template < GUM_Numeric GUM_SCALAR >
119 Idx i1,
120 Idx i2,
121 bool& stop_iteration) const {
122 return 0;
123 }
124
125 template < GUM_Numeric GUM_SCALAR >
127 return 0;
128 }
129
130 } // namespace aggregator
131} // namespace gum
Base class for discrete random variable.
virtual Size domainSize() const =0
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.
const DiscreteVariable & variable(Idx i) const final
Returns the variable at position i in the tuple.
Idx nbrDim() const final
Returns the number of variables in the Instantiation.
Idx fold_(const DiscreteVariable &v, Idx i1, Idx i2, bool &stop_iteration) const override
fold_ is applied on value i1 for variable v. the actual result for precedent applications is i2.
Definition median_tpl.h:118
Idx neutralElt_() const override
neutralElt_() is the result value for the first application of fold_
Definition median_tpl.h:126
Idx buildValue_(const gum::Instantiation &i) const override
by default, buildValue_ uses a "fold" scheme and the user has to implement neutralElt_ and fold_ but ...
Definition median_tpl.h:87
MultiDimContainer< GUM_SCALAR > * newFactory() const override
This method creates a clone of this object, withouth its content (including variable),...
Definition median_tpl.h:82
std::string aggregatorName() const override
Returns the scalar parameter of this aggregator, if it has one.
Definition median_tpl.h:77
Size Idx
Type for indexes.
Definition types.h:79
median aggregator
MultiDimAggregator.
Aggregators are functional description of CPTs.
Definition agrum.h:55
gum is the global namespace for all aGrUM entities
Definition agrum.h:46