aGrUM
3.2.0
a C++ library for (probabilistic) graphical models
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localSearchWithTabuList.cpp
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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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* *
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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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* 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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#include <
agrum/BN/learning/localSearchWithTabuList.h
>
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#ifdef GUM_NO_INLINE
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# include <
agrum/BN/learning/localSearchWithTabuList_inl.h
>
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#endif
/* GUM_NO_INLINE */
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namespace
gum
{
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namespace
learning
{
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// -------------------------------------------------------------------------
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// Constructors, destructor and assignment operators are defined
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// out-of-line (not INLINE) on purpose: see the comment in score.cpp for
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// the MSVC LNK2005 rationale.
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// -------------------------------------------------------------------------
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LocalSearchWithTabuList::LocalSearchWithTabuList
() {
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disableEpsilon
();
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disableMinEpsilonRate
();
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disableMaxIter
();
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disableMaxTime
();
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GUM_CONSTRUCTOR(
LocalSearchWithTabuList
);
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}
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LocalSearchWithTabuList::LocalSearchWithTabuList
(
const
LocalSearchWithTabuList
& from) :
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ApproximationScheme
(from),
_MaxNbDecreasing_
(from.
_MaxNbDecreasing_
) {
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GUM_CONS_CPY(
LocalSearchWithTabuList
);
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}
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LocalSearchWithTabuList::LocalSearchWithTabuList
(
LocalSearchWithTabuList
&& from) :
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ApproximationScheme
(
std
::move(from)),
_MaxNbDecreasing_
(
std
::move(from.
_MaxNbDecreasing_
)) {
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GUM_CONS_MOV(
LocalSearchWithTabuList
);
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}
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LocalSearchWithTabuList::~LocalSearchWithTabuList
() { GUM_DESTRUCTOR(
LocalSearchWithTabuList
); }
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LocalSearchWithTabuList
&
LocalSearchWithTabuList::operator=
(
const
LocalSearchWithTabuList
& from)
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=
default
;
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LocalSearchWithTabuList
&
LocalSearchWithTabuList::operator=
(
LocalSearchWithTabuList
&& from) {
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ApproximationScheme::operator=(std::move(from));
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_MaxNbDecreasing_
= std::move(from._MaxNbDecreasing_);
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return
*
this
;
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}
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}
/* namespace learning */
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}
/* namespace gum */
gum::ApproximationScheme::disableMaxTime
void disableMaxTime() override
Disable stopping criterion on timeout.
Definition
approximationScheme_inl.h:140
gum::ApproximationScheme::disableEpsilon
void disableEpsilon() override
Disable stopping criterion on epsilon.
Definition
approximationScheme_inl.h:75
gum::ApproximationScheme::disableMinEpsilonRate
void disableMinEpsilonRate() override
Disable stopping criterion on epsilon rate.
Definition
approximationScheme_inl.h:96
gum::ApproximationScheme::ApproximationScheme
ApproximationScheme(bool verbosity=false)
Definition
approximationScheme.cpp:58
gum::ApproximationScheme::disableMaxIter
void disableMaxIter() override
Disable stopping criterion on max iterations.
Definition
approximationScheme_inl.h:116
gum::learning::LocalSearchWithTabuList
The local search with tabu list learning algorithm (for directed graphs).
Definition
localSearchWithTabuList.h:79
gum::learning::LocalSearchWithTabuList::_MaxNbDecreasing_
Size _MaxNbDecreasing_
the max number of changes decreasing the score that we allow to apply
Definition
localSearchWithTabuList.h:146
gum::learning::LocalSearchWithTabuList::~LocalSearchWithTabuList
~LocalSearchWithTabuList() override
destructor
Definition
localSearchWithTabuList.cpp:87
gum::learning::LocalSearchWithTabuList::LocalSearchWithTabuList
LocalSearchWithTabuList()
default constructor
Definition
localSearchWithTabuList.cpp:66
gum::learning::LocalSearchWithTabuList::operator=
LocalSearchWithTabuList & operator=(const LocalSearchWithTabuList &from)
copy operator
localSearchWithTabuList.h
The local search learning with tabu list algorithm (for directed graphs).
localSearchWithTabuList_inl.h
The local search learning algorithm (for directed graphs).
gum::learning
include the inlined functions if necessary
Definition
CSVParser.h:55
gum
gum is the global namespace for all aGrUM entities
Definition
agrum.h:46
std
STL namespace.
aGrUM
3.2.0
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