aGrUM
3.2.0
a C++ library for (probabilistic) graphical models
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maxParentsMCBayesNetGenerator.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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* This aGrUM/pyAgrum library is distributed in the hope that it will be *
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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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* *
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****************************************************************************/
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#ifndef GUM_MAX_PARENTS_MC_BAYES_NET_GENERATOR_H
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#define GUM_MAX_PARENTS_MC_BAYES_NET_GENERATOR_H
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#include <fstream>
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#include <iostream>
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#include <set>
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#include <sstream>
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#include <vector>
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#include <
agrum/agrum.h
>
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#include <
agrum/BN/generator/MCBayesNetGenerator.h
>
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namespace
gum
{
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template
<
GUM_Numeric
GUM_SCALAR,
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template
<
typename
>
class
ICPTGenerator =
SimpleCPTGenerator
,
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template
<
typename
>
class
ICPTDisturber =
SimpleCPTDisturber
>
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class
MaxParentsMCBayesNetGenerator
:
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public
MCBayesNetGenerator
< GUM_SCALAR, ICPTGenerator, ICPTDisturber > {
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public
:
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// ############################################################################
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// ############################################################################
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MaxParentsMCBayesNetGenerator
(
Size
nbrNodes
,
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Size
maxArcs
,
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Size
maxModality
= 2,
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Size
maxParents
= 1,
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Idx
iteration
=
NB_INIT_ITERATIONS
,
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Idx
p
= 30,
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Idx
q
= 40);
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explicit
MaxParentsMCBayesNetGenerator
(BayesNet< GUM_SCALAR > bayesNet,
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Size
maxParents
= 2,
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Idx
iteration
=
NB_INIT_ITERATIONS
,
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Idx
p
= 30,
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Idx
q
= 40);
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~MaxParentsMCBayesNetGenerator
()
override
;
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// ############################################################################
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// ############################################################################
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Size
maxParents
()
const
;
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void
setMaxParents
(
Size
maxParents
);
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protected
:
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Size
maxParents_
;
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private
:
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bool
_checkConditions_
() final;
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};
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#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
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extern
template
class
MaxParentsMCBayesNetGenerator< double >
;
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#endif
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}
/*namespace gum*/
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#include <
agrum/BN/generator/maxParentsMCBayesNetGenerator_tpl.h
>
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#endif
// MCBAYESNETGENERATOR
MCBayesNetGenerator.h
Class for generating Bayesian networks.using MC algorithm cf.
NB_INIT_ITERATIONS
#define NB_INIT_ITERATIONS
Definition
MCBayesNetGenerator.h:52
agrum.h
gum::MCBayesNetGenerator< GUM_SCALAR, SimpleCPTGenerator, SimpleCPTDisturber >::nbrNodes
Size nbrNodes() const
Definition
IBayesNetGenerator_tpl.h:93
gum::MCBayesNetGenerator< GUM_SCALAR, SimpleCPTGenerator, SimpleCPTDisturber >::maxArcs
Size maxArcs() const
Definition
IBayesNetGenerator_tpl.h:98
gum::MCBayesNetGenerator< GUM_SCALAR, SimpleCPTGenerator, SimpleCPTDisturber >::maxModality
Size maxModality() const
Definition
IBayesNetGenerator_tpl.h:88
gum::MCBayesNetGenerator< GUM_SCALAR, SimpleCPTGenerator, SimpleCPTDisturber >::p
Idx p() const
Definition
MCBayesNetGenerator_tpl.h:603
gum::MCBayesNetGenerator< GUM_SCALAR, SimpleCPTGenerator, SimpleCPTDisturber >::MCBayesNetGenerator
MCBayesNetGenerator(Size nbrNodes, Size maxArcs, Idx maxModality=2, Size iteration=NB_INIT_ITERATIONS, Idx p=30, Idx q=40)
Definition
MCBayesNetGenerator_tpl.h:71
gum::MCBayesNetGenerator< GUM_SCALAR, SimpleCPTGenerator, SimpleCPTDisturber >::q
Idx q() const
Definition
MCBayesNetGenerator_tpl.h:610
gum::MCBayesNetGenerator< GUM_SCALAR, SimpleCPTGenerator, SimpleCPTDisturber >::iteration
Size iteration() const
Definition
MCBayesNetGenerator_tpl.h:596
gum::MaxParentsMCBayesNetGenerator::MaxParentsMCBayesNetGenerator
MaxParentsMCBayesNetGenerator(Size nbrNodes, Size maxArcs, Size maxModality=2, Size maxParents=1, Idx iteration=NB_INIT_ITERATIONS, Idx p=30, Idx q=40)
Constructor.
Definition
maxParentsMCBayesNetGenerator_tpl.h:61
gum::MaxParentsMCBayesNetGenerator::setMaxParents
void setMaxParents(Size maxParents)
Modifies the value of the number of maximum parents imposed on the BayesNetGenerator.
Definition
maxParentsMCBayesNetGenerator_tpl.h:127
gum::MaxParentsMCBayesNetGenerator::maxParents_
Size maxParents_
Definition
maxParentsMCBayesNetGenerator.h:187
gum::MaxParentsMCBayesNetGenerator::_checkConditions_
bool _checkConditions_() final
function to holding the specification wanted for the Bayesian network.
Definition
maxParentsMCBayesNetGenerator_tpl.h:109
gum::MaxParentsMCBayesNetGenerator::maxParents
Size maxParents() const
Return a constant reference to the number of maximum parents imposed on the Markov Chain BayesNetGene...
Definition
maxParentsMCBayesNetGenerator_tpl.h:119
gum::SimpleCPTDisturber
<agrum/BN/generator/simpleCPTDisturber.h>
Definition
simpleCPTDisturber.h:68
gum::SimpleCPTGenerator
<agrum/BN/generator/simpleCPTGenerator.h>
Definition
simpleCPTGenerator.h:66
gum::GUM_Numeric
Complete concept for GUM_SCALAR template parameter.
Definition
concepts.h:148
gum::Size
std::size_t Size
In aGrUM, hashed values are unsigned long int.
Definition
types.h:74
gum::Idx
Size Idx
Type for indexes.
Definition
types.h:79
maxParentsMCBayesNetGenerator_tpl.h
Source implementation of MaxParentsMCBayesNetGenerator.
gum
gum is the global namespace for all aGrUM entities
Definition
agrum.h:46
aGrUM
3.2.0
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