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Class RelevanceTreeInference

An exact probabilistic inference algorithm for Bayesian networks and Dynamic Bayesian networks, that can compute multiple distributions more efficiently than the {@link com.bayesserver.inference.variableelimination.VariableEliminationInference} algorithm.

see

com.bayesserver.inference.IInference

Hierarchy

  • RelevanceTreeInference

Implements

Index

Constructors

Accessors

Methods

Constructors

constructor

  • Initializes a new instance of the {@link com.bayesserver.inference.relevancetree.RelevanceTreeInference} class, with the target Bayesian network.

    exception

    ReferenceError Raised if [network] is null.

    Parameters

    • network: Network

      The target {@link com.bayesserver.Network}.

    Returns RelevanceTreeInference

Accessors

baseEvidence

  • inheritdoc

    Returns IEvidence

  • inheritdoc

    Parameters

    Returns void

evidence

  • inheritdoc

    Returns IEvidence

  • inheritdoc

    Parameters

    Returns void

network

  • inheritdoc

    Returns Network

queryDistributions

Methods

_vsv_x_

  • _vsv_x_(): void

  • Returns void

_vtq_x_

  • _vtq_x_(): void

  • Returns void

query