aGrUM  0.13.2
maxParentsMCBayesNetGenerator.h
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27 #ifndef GUM_MAX_PARENTS_MC_BAYES_NET_GENERATOR
28 #define GUM_MAX_PARENTS_MC_BAYES_NET_GENERATOR
29 
30 #include <agrum/agrum.h>
31 
32 #include <fstream>
33 #include <iostream>
34 #include <set>
35 #include <vector>
36 
37 #include <sstream>
38 
39 #ifdef HAVE_DIRENT_H
40 # include <dirent.h>
41 #else
42 # include <agrum/core/mvsc/dirent.h>
43 #endif
44 
45 
46 #include <agrum/BN/BayesNet.h>
51 
52 namespace gum {
84  template < typename GUM_SCALAR,
85  template < typename > class ICPTGenerator = SimpleCPTGenerator,
86  template < typename > class ICPTDisturber = SimpleCPTDisturber >
88  : public MCBayesNetGenerator< GUM_SCALAR, ICPTGenerator, ICPTDisturber > {
89  public:
90  // ############################################################################
92  // ############################################################################
94 
116  Size maxArcs,
117  Size maxModality = 2,
118  Size maxParents = 1,
119  Idx iteration = 5000,
120  Idx p = 30,
121  Idx q = 40);
122 
143  Size maxParents = 2,
144  Idx iteration = 5000,
145  Idx p = 30,
146  Idx q = 40);
147 
152 
154 
155  // ############################################################################
157  // ############################################################################
160 
166  Size maxParents() const;
167 
169 
173  void setMaxParents(Size maxParents);
175 
176  protected:
178 
179  private:
185  bool __checkConditions() final;
186  };
187 
188 
189  extern template class MaxParentsMCBayesNetGenerator< float >;
190  extern template class MaxParentsMCBayesNetGenerator< double >;
191 
192 } /*namespace gum*/
193 
194 #include <agrum/BN/generator/maxParentsMCBayesNetGenerator_tpl.h>
195 #endif // MCBAYESNETGENERATOR
Class representing a Bayesian Network.
Definition: BayesNet.h:76
unsigned long Size
In aGrUM, hashed values are unsigned long int.
Definition: types.h:50
Size maxModality() const
Return a constant reference to the maximum modality imposed on the IBayesNetGenerator.
Abstract class for generating Conditional Probability Tables.
<agrum/BN/generator/SimpleMCayesNetGenerator.h>
Source implementation of SimpleCPTDisturber.
void setMaxParents(Size maxParents)
Modifies the value of the number of maximum parents imposed on the BayesNetGenerator.
<agrum/BN/generator/MCayesNetGenerator.h>
Class representing Bayesian networks.
Size maxParents() const
Return a constant reference to the number of maximum parents imposed on the Markov Chain BayesNetGene...
gum is the global namespace for all aGrUM entities
Definition: agrum.h:25
Size nbrNodes() const
Return a constant reference to the number of nodes imposed on the IBayesNetGenerator.
bool __checkConditions() final
function to holding the the specification wanted for the Bayesian markov.
Idx p() const
Return a constant reference to the probabilité p imposed on the Markov Chain BayesNetGenerator.
Size iteration() const
Return a constant reference to the number of iteration imposed on the Markov Chain BayesNetGenerator...
Size maxArcs() const
Return a constant reference to the maximum number of arcs imposed on the IBayesNetGenerator.
MaxParentsMCBayesNetGenerator(Size nbrNodes, Size maxArcs, Size maxModality=2, Size maxParents=1, Idx iteration=5000, Idx p=30, Idx q=40)
Constructor.
unsigned long Idx
Type for indexes.
Definition: types.h:43
Idx q() const
Return a constant reference to the probabilité imposed on the Markov Chain BayesNetGenerator.
Class for generating bayesian networks.using MC algorithm cf.
Base class for labelized discrete random variables.