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BayesServer.Inference.RelevanceTree Namespace

Provides an exact probabilistic inference algorithm for Bayesian networks and Dynamic Bayesian networks, that can compute multiple distributions more efficiently than the VariableEliminationInference algorithm.
Classes
  ClassDescription
Public classRelevanceTreeInference
An exact probabilistic inference algorithm for Bayesian networks and Dynamic Bayesian networks, that can compute multiple distributions more efficiently than the VariableEliminationInference algorithm.
Public classRelevanceTreeInferenceFactory
Uses the factory design pattern to create inference related objects for the Relevance Tree algorithm. See IInferenceFactory for more details.
Public classRelevanceTreeQueryOptions
Options that govern the calculations performed by Query.
Public classRelevanceTreeQueryOutput
Returns any information, in addition to the distributions, that is requested from a query. For example the log-likelihood.