aGrUM
3.2.0
a C++ library for (probabilistic) graphical models
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weightedSampling.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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****************************************************************************/
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#ifndef GUM_WEIGHTED_INFERENCE_H
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#define GUM_WEIGHTED_INFERENCE_H
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#include <
agrum/BN/inference/tools/samplingInference.h
>
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namespace
gum
{
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template
< GUM_Numeric GUM_SCALAR >
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class
WeightedSampling
:
public
SamplingInference
< GUM_SCALAR > {
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public
:
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explicit
WeightedSampling
(
const
IBayesNet< GUM_SCALAR >
* bn);
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~WeightedSampling
()
override
;
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protected
:
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Instantiation
burnIn_
()
override
;
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Instantiation
draw_
(GUM_SCALAR* w,
Instantiation
prev)
override
;
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};
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#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
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extern
template
class
GUM_PUBLIC_BN
WeightedSampling< double >
;
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#endif
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}
// namespace gum
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#include <
agrum/BN/inference/weightedSampling_tpl.h
>
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#endif
gum::IBayesNet
Class representing the minimal interface for Bayesian network with no numerical data.
Definition
IBayesNet.h:75
gum::Instantiation
Class for assigning/browsing values to tuples of discrete variables.
Definition
instantiation.h:102
gum::SamplingInference::SamplingInference
SamplingInference(const IBayesNet< GUM_SCALAR > *bn)
default constructor
Definition
samplingInference_tpl.h:68
gum::WeightedSampling::WeightedSampling
WeightedSampling(const IBayesNet< GUM_SCALAR > *bn)
Default constructor.
Definition
weightedSampling_tpl.h:59
gum::WeightedSampling::draw_
Instantiation draw_(GUM_SCALAR *w, Instantiation prev) override
draws a sample according to Weighted sampling
Definition
weightedSampling_tpl.h:78
gum::WeightedSampling::burnIn_
Instantiation burnIn_() override
draws a defined number of samples without updating the estimators
Definition
weightedSampling_tpl.h:72
gum
gum is the global namespace for all aGrUM entities
Definition
agrum.h:46
gum::WeightedSampling< double >
template class GUM_PUBLIC_BN WeightedSampling< double >
Definition
weightedSampling.cpp:46
samplingInference.h
This file contains general methods for simulation-oriented approximate inference.
weightedSampling_tpl.h
Implementation of Weighted Sampling for inference in Bayesian networks.
aGrUM
3.2.0
© PHW&CG&others - 2022
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