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3.2.0
a C++ library for (probabilistic) graphical models
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MRFInference.h
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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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* - or both in dual license, as here. *
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* (see https://agrum.gitlab.io/articles/dual-licenses-lgplv3mit.html) *
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* This aGrUM/pyAgrum library is distributed in the hope that it will be *
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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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#ifndef GUM_MARKOV_RANDOM_FIELD_INFERENCE_H
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#define GUM_MARKOV_RANDOM_FIELD_INFERENCE_H
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#include <
agrum/agrum.h
>
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#include <
agrum/base/graphicalModels/inference/graphicalModelInference.h
>
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#include <
agrum/MRF/IMarkovRandomField.h
>
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namespace
gum
{
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// JointTargetedMRFInference, the class for computing joint posteriors, should
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// have access to the states of Inference and change them when needed: this
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// will be a friend of Inference
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template
< GUM_Numeric GUM_SCALAR >
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class
JointTargetedMRFInference
;
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// MarginalTargetedMRFInference, the class for computing marginal posteriors,
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// should have access to the states of Inference and change them when needed:
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// this should be a friend of Inference
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template
< GUM_Numeric GUM_SCALAR >
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class
MarginalTargetedMRFInference
;
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// EvidenceMRFInference, the class for computing the probability of evidence,
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// should have access to the states of Inference and change them when needed:
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// this will be a friend of Inference
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template
< GUM_Numeric GUM_SCALAR >
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class
EvidenceMRFInference
;
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template
< GUM_Numeric GUM_SCALAR >
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class
GUM_PUBLIC_MRF
MRFInference
:
public
GraphicalModelInference
< GUM_SCALAR > {
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public
:
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// ############################################################################
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// ############################################################################
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explicit
MRFInference
(
const
IMarkovRandomField< GUM_SCALAR >
* mn);
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MRFInference
();
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~MRFInference
()
override
;
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// ############################################################################
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// ############################################################################
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virtual
void
setMRF
(
const
IMarkovRandomField< GUM_SCALAR >
* mrf);
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virtual
const
IMarkovRandomField< GUM_SCALAR >
&
MRF
()
const
final
;
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private
:
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void
_setMRFDuringConstruction_
(
const
IMarkovRandomField< GUM_SCALAR >
* mn);
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friend
MarginalTargetedMRFInference< GUM_SCALAR >
;
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friend
JointTargetedMRFInference< GUM_SCALAR >
;
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friend
EvidenceMRFInference< GUM_SCALAR >
;
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};
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}
// namespace gum
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#include <
agrum/MRF/inference/tools/MRFInference_tpl.h
>
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#endif
// GUM_MARKOV_RANDOM_FIELD_INFERENCE_H
IMarkovRandomField.h
Class representing Markov random fields.
MRFInference_tpl.h
Implementation of the non pure virtual methods of class MRFInference.
agrum.h
gum::EvidenceMRFInference
<agrum/MRF/inference/evidenceMRFInference.h>
Definition
evidenceMRFInference.h:71
gum::GraphicalModelInference::GraphicalModelInference
GraphicalModelInference(const GraphicalModel *model)
default constructor
Definition
graphicalModelInference_tpl.h:57
gum::IMarkovRandomField
Class representing the minimal interface for Markov random field.
Definition
IMarkovRandomField.h:75
gum::JointTargetedMRFInference
<agrum/MRF/inference/jointTargetedMRFInference.h>
Definition
jointTargetedMRFInference.h:77
gum::MRFInference::setMRF
virtual void setMRF(const IMarkovRandomField< GUM_SCALAR > *mrf)
assigns a new MRF to the inference engine
Definition
MRFInference_tpl.h:82
gum::MRFInference::MRFInference
MRFInference(const IMarkovRandomField< GUM_SCALAR > *mn)
default constructor
Definition
MRFInference_tpl.h:57
gum::MRFInference::MarginalTargetedMRFInference< GUM_SCALAR >
friend MarginalTargetedMRFInference< GUM_SCALAR >
allow JointInference to access the single targets and inference states
Definition
MRFInference.h:221
gum::MRFInference::JointTargetedMRFInference< GUM_SCALAR >
friend JointTargetedMRFInference< GUM_SCALAR >
assigns a new MRF to the inference engine
Definition
MRFInference.h:222
gum::MRFInference::_setMRFDuringConstruction_
void _setMRFDuringConstruction_(const IMarkovRandomField< GUM_SCALAR > *mn)
assigns a MRF during the inference engine construction
Definition
MRFInference_tpl.h:88
gum::MRFInference::MRF
virtual const IMarkovRandomField< GUM_SCALAR > & MRF() const final
Returns a constant reference over the IMarkovRandomField referenced by this class.
Definition
MRFInference_tpl.h:76
gum::MRFInference::EvidenceMRFInference< GUM_SCALAR >
friend EvidenceMRFInference< GUM_SCALAR >
assigns a new MRF to the inference engine
Definition
MRFInference.h:223
gum::MarginalTargetedMRFInference
<agrum/MRF/inference/marginalTargetedMRFInference.h>
Definition
marginalTargetedMRFInference.h:78
graphicalModelInference.h
This file contains abstract class definitions for graphical models inference classes.
gum
gum is the global namespace for all aGrUM entities
Definition
agrum.h:46
aGrUM
3.2.0
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