aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
loopySamplingInference.h File Reference

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

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Classes

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

Namespaces

namespace  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(_at_LIP6)

Definition in file loopySamplingInference.h.