aGrUM
3.2.0
a C++ library for (probabilistic) graphical models
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K2.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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* - 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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* *
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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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* INCLUDING BUT NOT LIMITED TO THE WARRANTIES MERCHANTABILITY or FITNESS *
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* FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE *
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER *
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, *
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* ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR *
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* OTHER DEALINGS IN THE SOFTWARE. *
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* *
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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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#include <
agrum/BN/learning/K2.h
>
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#ifdef GUM_NO_INLINE
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# include <
agrum/BN/learning/K2_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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// Out-of-line on purpose (not INLINE, see K2_inl.h): under MSVC,
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// dllexport on a class forces eager, non-weak emission of every
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// inline-defined special member in *every* TU that includes the header --
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// colliding (LNK2005) with a leaf .pyd's own local reinstantiation of a
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// template that uses this class (GUM_NO_EXTERN_TEMPLATE_CLASS).
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K2::K2
() { GUM_CONSTRUCTOR(
K2
); }
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K2::K2
(
const
K2
& from) :
GreedyHillClimbing
(from),
_order_
(from.
_order_
) { GUM_CONS_CPY(
K2
); }
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K2::K2
(
K2
&& from) :
GreedyHillClimbing
(
std
::move(from)),
_order_
(
std
::move(from.
_order_
)) {
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GUM_CONS_MOV(
K2
);
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}
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K2::~K2
() { GUM_DESTRUCTOR(
K2
); }
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K2
&
K2::operator=
(
const
K2
& from) {
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if
(
this
!= &from) {
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GreedyHillClimbing::operator=
(from);
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_order_
= from.
_order_
;
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}
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return
*
this
;
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}
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K2
&
K2::operator=
(
K2
&& from) {
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if
(
this
!= &from) {
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GreedyHillClimbing::operator=
(std::move(from));
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_order_
= std::move(from._order_);
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}
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return
*
this
;
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}
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}
/* namespace learning */
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}
/* namespace gum */
K2.h
The K2 algorithm.
K2_inl.h
The K2 algorithm.
gum::learning::GreedyHillClimbing::GreedyHillClimbing
GreedyHillClimbing()
default constructor
Definition
greedyHillClimbing.cpp:55
gum::learning::GreedyHillClimbing::operator=
GreedyHillClimbing & operator=(const GreedyHillClimbing &from)
copy operator
gum::learning::K2::~K2
~K2() override
destructor
Definition
K2.cpp:77
gum::learning::K2::_order_
Sequence< NodeId > _order_
the order on the variable used for learning
Definition
K2.h:132
gum::learning::K2::K2
K2()
default constructor
Definition
K2.cpp:66
gum::learning::K2::operator=
K2 & operator=(const K2 &from)
copy operator
Definition
K2.cpp:80
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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