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3.2.0
a C++ library for (probabilistic) graphical models
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GibbsBNdistance.h
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/****************************************************************************
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* This file is part of the aGrUM/pyAgrum library. *
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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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* The aGrUM/pyAgrum library is free software; you can redistribute it *
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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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#ifndef GUM_GIBBS_KL2_H
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#define GUM_GIBBS_KL2_H
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#include <
agrum/base/core/approximations/approximationScheme.h
>
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#include <
agrum/BN/algorithms/divergence/BNdistance.h
>
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#include <
agrum/BN/inference/tools/gibbsOperator.h
>
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namespace
gum
{
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template
< GUM_Numeric GUM_SCALAR >
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class
GibbsBNdistance
:
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public
BNdistance
< GUM_SCALAR >,
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public
ApproximationScheme
,
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public
GibbsOperator
< GUM_SCALAR > {
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public
:
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/* no default constructor */
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GibbsBNdistance
(
const
IBayesNet< GUM_SCALAR >
& P,
const
IBayesNet< GUM_SCALAR >
& Q);
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explicit
GibbsBNdistance
(
const
BNdistance< GUM_SCALAR >
& kl);
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~GibbsBNdistance
()
override
;
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void
setBurnIn
(
Size
b);
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Size
burnIn
()
const
;
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protected
:
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void
computeKL_
()
final
;
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using
BNdistance
< GUM_SCALAR >
::p_
;
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using
BNdistance
< GUM_SCALAR >
::q_
;
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using
BNdistance
< GUM_SCALAR >
::hellinger_
;
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using
BNdistance
< GUM_SCALAR >
::bhattacharya_
;
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using
BNdistance
< GUM_SCALAR >
::jsd_
;
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using
BNdistance
< GUM_SCALAR >
::klPQ_
;
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using
BNdistance
< GUM_SCALAR >
::klQP_
;
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using
BNdistance
< GUM_SCALAR >
::errorPQ_
;
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using
BNdistance
< GUM_SCALAR >
::errorQP_
;
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};
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#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
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extern
template
class
GUM_PUBLIC_BN
GibbsBNdistance< double >
;
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#endif
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}
// namespace gum
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#include <
agrum/BN/algorithms/divergence/GibbsBNdistance_tpl.h
>
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#endif
BNdistance.h
algorithm for KL divergence between BNs
GibbsBNdistance_tpl.h
KL divergence between BNs – implementation using Gibbs sampling.
approximationScheme.h
This file contains general scheme for iteratively convergent algorithms.
gum::ApproximationScheme::ApproximationScheme
ApproximationScheme(bool verbosity=false)
Definition
approximationScheme.cpp:58
gum::BNdistance::hellinger_
GUM_SCALAR hellinger_
Definition
BNdistance.h:165
gum::BNdistance::klPQ_
GUM_SCALAR klPQ_
Definition
BNdistance.h:159
gum::BNdistance::BNdistance
BNdistance(const IBayesNet< GUM_SCALAR > &P, const IBayesNet< GUM_SCALAR > &Q)
constructor must give 2 BNs
Definition
BNdistance_tpl.h:60
gum::BNdistance::jsd_
GUM_SCALAR jsd_
Definition
BNdistance.h:167
gum::BNdistance::klQP_
GUM_SCALAR klQP_
Definition
BNdistance.h:160
gum::BNdistance::errorPQ_
Size errorPQ_
Definition
BNdistance.h:162
gum::BNdistance::errorQP_
Size errorQP_
Definition
BNdistance.h:163
gum::BNdistance::bhattacharya_
GUM_SCALAR bhattacharya_
Definition
BNdistance.h:166
gum::BNdistance::q_
const IBayesNet< GUM_SCALAR > & q_
Definition
BNdistance.h:157
gum::BNdistance::p_
const IBayesNet< GUM_SCALAR > & p_
Definition
BNdistance.h:156
gum::GibbsBNdistance::burnIn
Size burnIn() const
Returns the number of burn in.
Definition
GibbsBNdistance_tpl.h:206
gum::GibbsBNdistance::computeKL_
void computeKL_() final
Definition
GibbsBNdistance_tpl.h:118
gum::GibbsBNdistance::setBurnIn
void setBurnIn(Size b)
Number of burn in for one iteration.
Definition
GibbsBNdistance_tpl.h:201
gum::GibbsBNdistance::GibbsBNdistance
GibbsBNdistance(const IBayesNet< GUM_SCALAR > &P, const IBayesNet< GUM_SCALAR > &Q)
constructor must give 2 BNs
Definition
GibbsBNdistance_tpl.h:74
gum::GibbsOperator::GibbsOperator
GibbsOperator(const IBayesNet< GUM_SCALAR > &BN, const NodeProperty< Idx > *hardEv, Size nbr=1, bool atRandom=false)
constructor
Definition
gibbsOperator_tpl.h:59
gum::IBayesNet
Class representing the minimal interface for Bayesian network with no numerical data.
Definition
IBayesNet.h:75
gibbsOperator.h
This file contains Gibbs sampling (for BNs) class definitions.
gum::Size
std::size_t Size
In aGrUM, hashed values are unsigned long int.
Definition
types.h:74
gum
gum is the global namespace for all aGrUM entities
Definition
agrum.h:46
gum::GibbsBNdistance< double >
template class GUM_PUBLIC_BN GibbsBNdistance< double >
Definition
GibbsBNdistance.cpp:48
aGrUM
3.2.0
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