aGrUM
0.20.2
a C++ library for (probabilistic) graphical models
MarkovNetInference_tpl.h
Go to the documentation of this file.
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/**
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*
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* Copyright 2005-2020 Pierre-Henri WUILLEMIN(@LIP6) & Christophe GONZALES(@AMU)
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* info_at_agrum_dot_org
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*
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* This library is free software: you can redistribute it and/or modify
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* it under the terms of the GNU Lesser General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* This library is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public License
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* along with this library. If not, see <http://www.gnu.org/licenses/>.
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*
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*/
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/**
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* @file
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* @brief Implementation of the non pure virtual methods of class
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* MarkovNetInference.
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*/
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#
include
<
agrum
/
MN
/
inference
/
tools
/
MarkovNetInference
.
h
>
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namespace
gum
{
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// Default Constructor
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template
<
typename
GUM_SCALAR >
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MarkovNetInference< GUM_SCALAR >::MarkovNetInference(
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const
IMarkovNet< GUM_SCALAR >* mn) :
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GraphicalModelInference< GUM_SCALAR >(mn) {
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GUM_CONSTRUCTOR(MarkovNetInference);
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}
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// Default Constructor
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template
<
typename
GUM_SCALAR
>
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MarkovNetInference
<
GUM_SCALAR
>::
MarkovNetInference
() {
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GUM_CONSTRUCTOR
(
MarkovNetInference
);
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}
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// Destructor
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template
<
typename
GUM_SCALAR
>
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MarkovNetInference
<
GUM_SCALAR
>::~
MarkovNetInference
() {
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GUM_DESTRUCTOR
(
MarkovNetInference
);
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}
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// Returns a constant reference over the IMarkovNet referenced by this class
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template
<
typename
GUM_SCALAR
>
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INLINE
const
IMarkovNet
<
GUM_SCALAR
>&
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MarkovNetInference
<
GUM_SCALAR
>::
MN
()
const
{
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return
static_cast
<
const
IMarkovNet
<
GUM_SCALAR
>& >(
this
->
model
());
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}
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// assigns a new MN to the inference engine
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template
<
typename
GUM_SCALAR
>
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void
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MarkovNetInference
<
GUM_SCALAR
>::
setMN
(
const
IMarkovNet
<
GUM_SCALAR
>*
mn
) {
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this
->
setModel_
(
mn
);
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}
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// assigns a MN to a newly constructed inference engine
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template
<
typename
GUM_SCALAR
>
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void
MarkovNetInference
<
GUM_SCALAR
>::
setMarkovNetDuringConstruction__
(
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const
IMarkovNet
<
GUM_SCALAR
>*
mn
) {
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this
->
setModelDuringConstruction_
(
mn
);
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}
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}
/* namespace gum */
gum::Set::emplace
INLINE void emplace(Args &&... args)
Definition:
set_tpl.h:669