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BayesServer.Inference.Approximate.LikelihoodSampling Namespace

Contains classes for performing inference with Bayesian networks and Dynamic Bayesian networks using an approximate inference method called Likelihood sampling.
Classes
  ClassDescription
Public classLikelihoodSamplingInference
An approximate probabilistic inference algorithm for Bayesian networks and Dynamic Bayesian networks, based on Likelihood Sampling.
Public classLikelihoodSamplingInferenceFactory
Uses the factory design pattern to create inference related objects for the Likelihood Sampling algorithm. See IInferenceFactory for more details.
Public classLikelihoodSamplingQueryOptions
Options that govern the calculations performed by Query.
Public classLikelihoodSamplingQueryOutput
Returns any information, in addition to the distributions, that is requested from a query. For example the log-likelihood.