loopySamplingInference.h File Reference

Copyright 2005-2019 Pierre-Henri WUILLEMIN et Christophe GONZALES (LIP6) {prenom.nom}_at_lip6.fr. More...

#include <agrum/BN/inference/GibbsSampling.h>
#include <agrum/BN/inference/MonteCarloSampling.h>
#include <agrum/BN/inference/importanceSampling.h>
#include <agrum/BN/inference/tools/approximateInference.h>
#include <agrum/BN/inference/tools/marginalTargetedInference.h>
#include <agrum/BN/inference/weightedSampling.h>
#include <agrum/BN/inference/loopySamplingInference_tpl.h>

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Classes
class	gum::LoopySamplingInference< GUM_SCALAR, APPROX >
	<agrum/BN/inference/loopySamplingInference.h> More...

Namespaces
	gum
	Copyright 2005-2019 Pierre-Henri WUILLEMIN et Christophe GONZALES (LIP6) {prenom.nom}_at_lip6.fr.

Typedefs
template<typename GUM_SCALAR >
using	gum::HybridMonteCarloSampling = LoopySamplingInference< GUM_SCALAR, MonteCarloSampling >
template<typename GUM_SCALAR >
using	gum::HybridWeightedSampling = LoopySamplingInference< GUM_SCALAR, WeightedSampling >
template<typename GUM_SCALAR >
using	gum::HybridImportanceSampling = LoopySamplingInference< GUM_SCALAR, ImportanceSampling >
template<typename GUM_SCALAR >
using	gum::HybridGibbsSampling = LoopySamplingInference< GUM_SCALAR, GibbsSampling >

Detailed Description

Copyright 2005-2019 Pierre-Henri WUILLEMIN et Christophe GONZALES (LIP6) {prenom.nom}_at_lip6.fr.

This library is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public License along with this library. If not, see http://www.gnu.org/licenses/.

This file implements a Hybrid sampling class using LoopyBeliefPropagation and an approximate Inference method.

Author

Paul ALAM & Pierre-Henri WUILLEMIN

Definition in file loopySamplingInference.h.