loopySamplingInference.h File Reference

This file implements a Hybrid sampling class using LoopyBeliefPropagation and an approximate Inference method. 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
	gum is the global namespace for all aGrUM entities

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

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.