SAmplingInference Class Reference

<agrum/BN/inference/samplingInference.h> More...

#include <samplingInference.h>

Detailed Description

<agrum/BN/inference/samplingInference.h>

A generic class for making sampling inference in bayesian networks adapted

The goal of this class is to define the genereal scheme used by all sampling inference algorithms, which are implemented as derived classes of ApproximateInference. This class inherits from MarginalTargetedInference for the handling of marginal targets and from ApproximationScheme.

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The documentation for this class was generated from the following file:

• agrum/BN/inference/tools/samplingInference.h