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3.2.0
a C++ library for (probabilistic) graphical models
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maxInducedWidthMCBayesNetGenerator.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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* - the GNU Lesser General Public License as published by *
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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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#ifndef GUM_MAX_INDUCED_WIDTH_MC_BAYES_NET_GENERATOR_H
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#define GUM_MAX_INDUCED_WIDTH_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
MaxInducedWidthMCBayesNetGenerator
:
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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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MaxInducedWidthMCBayesNetGenerator
(
Size
nbrNodes
,
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Size
maxArcs
,
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Size
maxModality
= 2,
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Size
maxInducedWidth = 3,
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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
MaxInducedWidthMCBayesNetGenerator
(BayesNet< GUM_SCALAR > bayesNet,
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Size
maxInducedWidth = 3,
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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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~MaxInducedWidthMCBayesNetGenerator
()
override
;
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// ############################################################################
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// ############################################################################
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Size
maxlog10InducedWidth
()
const
;
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void
setMaxlog10InducedWidth
(
Size
maxlog10InducedWidth
);
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protected
:
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Size
maxlog10InducedWidth_
;
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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
MaxInducedWidthMCBayesNetGenerator< double >
;
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#endif
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}
/*namespace gum*/
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#include <
agrum/BN/generator/maxInducedWidthMCBayesNetGenerator_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::MaxInducedWidthMCBayesNetGenerator::MaxInducedWidthMCBayesNetGenerator
MaxInducedWidthMCBayesNetGenerator(Size nbrNodes, Size maxArcs, Size maxModality=2, Size maxInducedWidth=3, Idx iteration=NB_INIT_ITERATIONS, Idx p=30, Idx q=40)
Constructor.
Definition
maxInducedWidthMCBayesNetGenerator_tpl.h:63
gum::MaxInducedWidthMCBayesNetGenerator::maxlog10InducedWidth_
Size maxlog10InducedWidth_
Definition
maxInducedWidthMCBayesNetGenerator.h:174
gum::MaxInducedWidthMCBayesNetGenerator::_checkConditions_
bool _checkConditions_() final
function to holding the specification wanted for the Bayesian network.
Definition
maxInducedWidthMCBayesNetGenerator_tpl.h:121
gum::MaxInducedWidthMCBayesNetGenerator::setMaxlog10InducedWidth
void setMaxlog10InducedWidth(Size maxlog10InducedWidth)
Modifies the value of the number of maximum parents imposed on the BayesNetGenerator.
Definition
maxInducedWidthMCBayesNetGenerator_tpl.h:148
gum::MaxInducedWidthMCBayesNetGenerator::maxlog10InducedWidth
Size maxlog10InducedWidth() const
Return a constant reference to the number of maximum parents imposed on the Markov Chain BayesNetGene...
Definition
maxInducedWidthMCBayesNetGenerator_tpl.h:140
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
maxInducedWidthMCBayesNetGenerator_tpl.h
Source implementation of MaxInducedWidthMCBayesNetGenerator.
gum
gum is the global namespace for all aGrUM entities
Definition
agrum.h:46
aGrUM
3.2.0
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