aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
maxParentsMCBayesNetGenerator_tpl.h
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39 ****************************************************************************/
40#pragma once
41
42
49
51
52namespace gum {
53
54 // Default constructor.
55 // Use the SimpleCPTGenerator for generating the BNs CPT.
56 template < typename GUM_SCALAR,
57 template < class > class ICPTGenerator,
58 template < class > class ICPTDisturber >
65 Idx p,
66 Idx q) :
67 MCBayesNetGenerator< GUM_SCALAR, ICPTGenerator, ICPTDisturber >(nbrNodes,
68 maxArcs,
71 p,
72 q) {
73 if (maxParents == 0)
75 "maxParents must be at least equal to 1 to have a connexe graph")
76
78 GUM_CONSTRUCTOR(MaxParentsMCBayesNetGenerator);
79 }
80
81 template < typename GUM_SCALAR,
82 template < class > class ICPTGenerator,
83 template < class > class ICPTDisturber >
85 MaxParentsMCBayesNetGenerator(BayesNet< GUM_SCALAR > bayesNet,
88 Idx p,
89 Idx q) :
90 MCBayesNetGenerator< GUM_SCALAR, ICPTGenerator, ICPTDisturber >(bayesNet, iteration, p, q) {
92 GUM_CONSTRUCTOR(MaxParentsMCBayesNetGenerator);
93 }
94
95 // Destructor.
96 template < typename GUM_SCALAR,
97 template < class > class ICPTGenerator,
98 template < class > class ICPTDisturber >
103
104 template < typename GUM_SCALAR,
105 template < class > class ICPTGenerator,
106 template < class > class ICPTDisturber >
114
115 template < typename GUM_SCALAR,
116 template < class > class ICPTGenerator,
117 template < class > class ICPTDisturber >
118 INLINE Size
123
124 template < typename GUM_SCALAR,
125 template < class > class ICPTGenerator,
126 template < class > class ICPTDisturber >
127 INLINE void
130 if (maxParents == 0)
132 "maxParents must be at least equal to 1 to have a connexe graph")
133
135 }
136} /* namespace gum */
virtual bool _checkConditions_()
The boolean function that will assert the respect of the constraint.
MCBayesNetGenerator(Size nbrNodes, Size maxArcs, Idx maxModality=2, Size iteration=NB_INIT_ITERATIONS, Idx p=30, Idx q=40)
void setMaxParents(Size maxParents)
Modifies the value of the number of maximum parents imposed on the BayesNetGenerator.
Size maxParents() const
Return a constant reference to the number of maximum parents imposed on the Markov Chain BayesNetGene...
bool _checkConditions_() final
function to holding the the specification wanted for the Bayesian markov.
MaxParentsMCBayesNetGenerator(Size nbrNodes, Size maxArcs, Size maxModality=2, Size maxParents=1, Idx iteration=NB_INIT_ITERATIONS, Idx p=30, Idx q=40)
Constructor.
Exception : operation not allowed.
#define GUM_ERROR(type, msg)
Definition exceptions.h:72
std::size_t Size
In aGrUM, hashed values are unsigned long int.
Definition types.h:74
Size Idx
Type for indexes.
Definition types.h:79
Class for generating Bayesian networks using MC algorithm cf.
gum is the global namespace for all aGrUM entities
Definition agrum.h:46