aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
maxParentsMCBayesNetGenerator.h
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40
41
48
49#ifndef GUM_MAX_PARENTS_MC_BAYES_NET_GENERATOR
50#define GUM_MAX_PARENTS_MC_BAYES_NET_GENERATOR
51
52#include <fstream>
53#include <iostream>
54#include <set>
55#include <sstream>
56#include <vector>
57
58#include <agrum/agrum.h>
59
61
62namespace gum {
94 template < typename GUM_SCALAR,
95 template < typename > class ICPTGenerator = SimpleCPTGenerator,
96 template < typename > class ICPTDisturber = SimpleCPTDisturber >
98 public MCBayesNetGenerator< GUM_SCALAR, ICPTGenerator, ICPTDisturber > {
99 public:
100 // ############################################################################
102 // ############################################################################
104
127 Size maxModality = 2,
128 Size maxParents = 1,
130 Idx p = 30,
131 Idx q = 40);
132
152 explicit MaxParentsMCBayesNetGenerator(BayesNet< GUM_SCALAR > bayesNet,
153 Size maxParents = 2,
155 Idx p = 30,
156 Idx q = 40);
157
162
164
165 // ############################################################################
167 // ############################################################################
170
176 Size maxParents() const;
177
179
185
186 protected:
188
189 private:
194
195 bool _checkConditions_() final;
196 };
197
198#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
199 extern template class MaxParentsMCBayesNetGenerator< double >;
200#endif
201
202} /*namespace gum*/
203
205#endif // MCBAYESNETGENERATOR
Class for generating Bayesian networks.using MC algorithm cf.
#define NB_INIT_ITERATIONS
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.
<agrum/BN/generator/simpleCPTDisturber.h>
<agrum/BN/generator/simpleCPTGenerator.h>
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
Source implementation of MaxParentsMCBayesNetGenerator.
gum is the global namespace for all aGrUM entities
Definition agrum.h:46