aGrUM
3.2.0
a C++ library for (probabilistic) graphical models
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IBayesNetGenerator.h
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/****************************************************************************
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* This file is part of the aGrUM/pyAgrum library. *
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* *
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* Copyright (c) 2005-2026 by *
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* - Pierre-Henri WUILLEMIN(_at_LIP6) *
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* - Christophe GONZALES(_at_AMU) *
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* *
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* The aGrUM/pyAgrum library is free software; you can redistribute it *
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* and/or modify it under the terms of either : *
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* - the GNU Lesser General Public License as published by *
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* the Free Software Foundation, either version 3 of the License, *
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* or (at your option) any later version, *
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* - the MIT license (MIT), *
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* - or both in dual license, as here. *
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* *
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* (see https://agrum.gitlab.io/articles/dual-licenses-lgplv3mit.html) *
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* This aGrUM/pyAgrum library is distributed in the hope that it will be *
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* useful, but WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, *
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* See LICENCES for more details. *
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* *
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* SPDX-FileCopyrightText: Copyright 2005-2026 *
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* - Pierre-Henri WUILLEMIN(_at_LIP6) *
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* - Christophe GONZALES(_at_AMU) *
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* SPDX-License-Identifier: LGPL-3.0-or-later OR MIT *
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* *
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* Contact : info_at_agrum_dot_org *
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* homepage : http://agrum.gitlab.io *
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* gitlab : https://gitlab.com/agrumery/agrum *
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* *
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****************************************************************************/
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#ifndef GUM_I_BAYES_NET_GENERATOR_H
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#define GUM_I_BAYES_NET_GENERATOR_H
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#include <climits>
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#include <cstdio>
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#include <cstdlib>
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#include <iostream>
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#include <vector>
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#include <
agrum/agrum.h
>
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#include <
agrum/base/variables/labelizedVariable.h
>
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#include <
agrum/BN/algorithms/divergence/BNdistance.h
>
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#include <
agrum/BN/BayesNet.h
>
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#include <
agrum/BN/generator/simpleCPTGenerator.h
>
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namespace
gum
{
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template
< GUM_Numeric GUM_SCALAR,
template
<
typename
>
class
ICPTGenerator >
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class
IBayesNetGenerator
:
public
ICPTGenerator< GUM_SCALAR > {
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public
:
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// ############################################################################
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// ############################################################################
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IBayesNetGenerator
(
Size
nbrNodes
,
Size
maxArcs
,
Size
maxModality
);
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~IBayesNetGenerator
()
override
;
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// ############################################################################
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// ############################################################################
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virtual
void
generateBN
(BayesNet< GUM_SCALAR >& bayesNet) = 0;
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void
fromDAG
(BayesNet< GUM_SCALAR >& bayesNet);
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void
fillCPT
(BayesNet< GUM_SCALAR >& bn)
const
;
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// ===========================================================================
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// ===========================================================================
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Size
nbrNodes
()
const
;
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Size
maxArcs
()
const
;
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Size
maxModality
()
const
;
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// void setcptGenerator(CPTGenerator * cptGenerator);
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void
setNbrNodes
(
Size
nbrNodes
);
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void
setMaxArcs
(
Size
maxArcs
);
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void
setMaxModality
(
Size
maxModality
);
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protected
:
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// The Conditional Probability Table generator
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// CPTGenerator * cptGenerator_;
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Size
nbrNodes_
;
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Size
maxArcs_
;
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Size
maxModality_
;
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DAG
dag_
;
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};
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}
/* namespace gum */
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#include <
agrum/BN/generator/IBayesNetGenerator_tpl.h
>
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#endif
/* GUM_I_BAYES_NET_GENERATOR_H */
BNdistance.h
algorithm for KL divergence between BNs
BayesNet.h
Class representing Bayesian networks.
IBayesNetGenerator_tpl.h
Source implementation of IBayesNetGenerator.
agrum.h
gum::DAG
Base class for dag.
Definition
DAG.h:121
gum::IBayesNetGenerator::setNbrNodes
void setNbrNodes(Size nbrNodes)
Modifies the value of the number of nodes imposed on the BayesGenerator.
Definition
IBayesNetGenerator_tpl.h:111
gum::IBayesNetGenerator::nbrNodes
Size nbrNodes() const
Return a constant reference to the number of nodes imposed on the IBayesNetGenerator.
Definition
IBayesNetGenerator_tpl.h:93
gum::IBayesNetGenerator::fromDAG
void fromDAG(BayesNet< GUM_SCALAR > &bayesNet)
Virtual function that Generates a Bayesian networks.
Definition
IBayesNetGenerator_tpl.h:127
gum::IBayesNetGenerator::setMaxModality
void setMaxModality(Size maxModality)
Modifies the value of the number of nodes imposed on the BayesGenerator.
Definition
IBayesNetGenerator_tpl.h:103
gum::IBayesNetGenerator::dag_
DAG dag_
Definition
IBayesNetGenerator.h:187
gum::IBayesNetGenerator::fillCPT
void fillCPT(BayesNet< GUM_SCALAR > &bn) const
function that insert random values in the CPT of each nodes according to the CPTGenerator.
Definition
IBayesNetGenerator_tpl.h:82
gum::IBayesNetGenerator::nbrNodes_
Size nbrNodes_
Definition
IBayesNetGenerator.h:184
gum::IBayesNetGenerator::maxArcs
Size maxArcs() const
Return a constant reference to the maximum number of arcs imposed on the IBayesNetGenerator.
Definition
IBayesNetGenerator_tpl.h:98
gum::IBayesNetGenerator::setMaxArcs
void setMaxArcs(Size maxArcs)
Modifies the value of the number of nodes imposed on the BayesGenerator.
Definition
IBayesNetGenerator_tpl.h:119
gum::IBayesNetGenerator::generateBN
virtual void generateBN(BayesNet< GUM_SCALAR > &bayesNet)=0
Virtual function that Generates a Bayesian networks.
gum::IBayesNetGenerator::maxModality_
Size maxModality_
Definition
IBayesNetGenerator.h:186
gum::IBayesNetGenerator::maxModality
Size maxModality() const
Return a constant reference to the maximum modality imposed on the IBayesNetGenerator.
Definition
IBayesNetGenerator_tpl.h:88
gum::IBayesNetGenerator::maxArcs_
Size maxArcs_
Definition
IBayesNetGenerator.h:185
gum::IBayesNetGenerator::IBayesNetGenerator
IBayesNetGenerator(Size nbrNodes, Size maxArcs, Size maxModality)
constructor.
Definition
IBayesNetGenerator_tpl.h:59
gum::Size
std::size_t Size
In aGrUM, hashed values are unsigned long int.
Definition
types.h:74
labelizedVariable.h
Base class for labelized discrete random variables.
gum
gum is the global namespace for all aGrUM entities
Definition
agrum.h:46
simpleCPTGenerator.h
Abstract class for generating Conditional Probability Tables.
aGrUM
3.2.0
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