aGrUM
3.2.0
a C++ library for (probabilistic) graphical models
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prior.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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* 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/base/stattests/priors/prior.h
>
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#ifndef DOXYGEN_SHOULD_SKIP_THIS
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# ifdef GUM_NO_INLINE
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# include <
agrum/base/stattests/priors/prior_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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Prior
&
Prior::operator=
(
const
Prior
& from) {
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if
(
this
!= &from) {
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nodeId2columns_
= from.nodeId2columns_;
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weight_
= from.weight_;
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database_
= from.database_;
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}
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return
*
this
;
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}
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Prior
&
Prior::operator=
(
Prior
&& from)
noexcept
{
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if
(
this
!= &from) {
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nodeId2columns_ = std::move(from.nodeId2columns_);
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weight_ = from.weight_;
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database_ = from.database_;
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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 */
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#endif
/* DOXYGEN_SHOULD_SKIP_THIS */
gum::learning::Prior
the base class for all a priori
Definition
prior.h:84
gum::learning::Prior::operator=
Prior & operator=(const Prior &from)
copy operator
gum::learning::Prior::database_
const DatabaseTable * database_
a reference to the database in order to have access to its variables
Definition
prior.h:162
gum::learning::Prior::weight_
double weight_
the weight of the prior
Definition
prior.h:159
gum::learning::Prior::nodeId2columns_
Bijection< NodeId, std::size_t > nodeId2columns_
a mapping from the NodeIds of the variables to the indices of the columns in the database
Definition
prior.h:166
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
prior.h
the base class for all a priori
prior_inl.h
the base class for all a prioris
aGrUM
3.2.0
© PHW&CG&others - 2022
DoXyGeN 1.18.0