aGrUM
3.2.0
a C++ library for (probabilistic) graphical models
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greedyHillClimbing.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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* - 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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* (see https://agrum.gitlab.io/articles/dual-licenses-lgplv3mit.html) *
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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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#include <
agrum/BN/learning/greedyHillClimbing.h
>
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namespace
gum
{
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namespace
learning
{
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GreedyHillClimbing::GreedyHillClimbing
() {
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setEpsilon
(0);
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disableMinEpsilonRate
();
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disableMaxIter
();
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disableMaxTime
();
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GUM_CONSTRUCTOR(
GreedyHillClimbing
);
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}
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GreedyHillClimbing::GreedyHillClimbing
(
const
GreedyHillClimbing
& from) :
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ApproximationScheme
(from) {
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GUM_CONS_CPY(
GreedyHillClimbing
);
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}
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GreedyHillClimbing::GreedyHillClimbing
(
GreedyHillClimbing
&& from) :
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ApproximationScheme
(
std
::move(from)) {
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GUM_CONS_MOV(
GreedyHillClimbing
);
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}
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GreedyHillClimbing::~GreedyHillClimbing
() { GUM_DESTRUCTOR(
GreedyHillClimbing
); }
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GreedyHillClimbing
&
GreedyHillClimbing::operator=
(
const
GreedyHillClimbing
& from) =
default
;
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GreedyHillClimbing
&
GreedyHillClimbing::operator=
(
GreedyHillClimbing
&& from) {
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ApproximationScheme::operator=(std::move(from));
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return
*
this
;
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}
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ApproximationScheme
&
GreedyHillClimbing::approximationScheme
() {
return
*
this
; }
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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::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::ApproximationScheme::setEpsilon
void setEpsilon(double eps) override
Given that we approximate f(t), stopping criterion on |f(t+1)-f(t)|.
Definition
approximationScheme_inl.h:64
gum::learning::GreedyHillClimbing
The greedy hill climbing learning algorithm (for directed graphs).
Definition
greedyHillClimbing.h:78
gum::learning::GreedyHillClimbing::~GreedyHillClimbing
~GreedyHillClimbing() override
destructor
Definition
greedyHillClimbing.cpp:76
gum::learning::GreedyHillClimbing::approximationScheme
ApproximationScheme & approximationScheme()
returns the approximation policy of the learning algorithm
Definition
greedyHillClimbing.cpp:88
gum::learning::GreedyHillClimbing::GreedyHillClimbing
GreedyHillClimbing()
default constructor
Definition
greedyHillClimbing.cpp:55
gum::learning::GreedyHillClimbing::operator=
GreedyHillClimbing & operator=(const GreedyHillClimbing &from)
copy operator
greedyHillClimbing.h
The greedy hill 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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