aGrUM 3.1.1
a C++ library for (probabilistic) graphical models
IBayesNetGenerator.h
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41
48#ifndef GUM_I_BAYES_NET_GENERATOR_H
49#define GUM_I_BAYES_NET_GENERATOR_H
50
51#include <climits>
52#include <cstdio>
53#include <cstdlib>
54#include <iostream>
55#include <vector>
56
57#include <agrum/agrum.h>
58
61#include <agrum/BN/BayesNet.h>
63
64namespace gum {
65
80 template < GUM_Numeric GUM_SCALAR, template < typename > class ICPTGenerator >
81 class IBayesNetGenerator: public ICPTGenerator< GUM_SCALAR > {
82 public:
83 // ############################################################################
85 // ############################################################################
87
101
105
106 ~IBayesNetGenerator() override;
108
109 // ############################################################################
111 // ############################################################################
113
119
120 virtual void generateBN(BayesNet< GUM_SCALAR >& bayesNet) = 0;
121
122 void fromDAG(BayesNet< GUM_SCALAR >& bayesNet);
129
130 void fillCPT(BayesNet< GUM_SCALAR >& bn) const;
131
133 // ===========================================================================
135 // ===========================================================================
137
140
145 Size nbrNodes() const;
146
151 Size maxArcs() const;
152
157 Size maxModality() const;
158
162
163 // void setcptGenerator(CPTGenerator * cptGenerator);
168
172 void setMaxArcs(Size maxArcs);
173
178
180
181 protected:
182 // The Conditional Probability Table generator
183 // CPTGenerator * cptGenerator_;
188 };
189
190} /* namespace gum */
191
193
194#endif /* GUM_I_BAYES_NET_GENERATOR_H */
algorithm for KL divergence between BNs
Class representing Bayesian networks.
Source implementation of IBayesNetGenerator.
Base class for dag.
Definition DAG.h:121
void setNbrNodes(Size nbrNodes)
Modifies the value of the number of nodes imposed on the BayesGenerator.
Size nbrNodes() const
Return a constant reference to the number of nodes imposed on the IBayesNetGenerator.
void fromDAG(BayesNet< GUM_SCALAR > &bayesNet)
Virtual function that Generates a Bayesian networks.
void setMaxModality(Size maxModality)
Modifies the value of the number of nodes imposed on the BayesGenerator.
void fillCPT(BayesNet< GUM_SCALAR > &bn) const
function that insert random values in the CPT of each nodes according to the CPTGenerator.
~IBayesNetGenerator() override
Destructor.
Size maxArcs() const
Return a constant reference to the maximum number of arcs imposed on the IBayesNetGenerator.
void setMaxArcs(Size maxArcs)
Modifies the value of the number of nodes imposed on the BayesGenerator.
virtual void generateBN(BayesNet< GUM_SCALAR > &bayesNet)=0
Virtual function that Generates a Bayesian networks.
Size maxModality() const
Return a constant reference to the maximum modality imposed on the IBayesNetGenerator.
IBayesNetGenerator(Size nbrNodes, Size maxArcs, Size maxModality)
constructor.
std::size_t Size
In aGrUM, hashed values are unsigned long int.
Definition types.h:74
Base class for labelized discrete random variables.
gum is the global namespace for all aGrUM entities
Definition agrum.h:46
Abstract class for generating Conditional Probability Tables.