aima.core.probability.bayes

Interface BayesInference

All Known Implementing Classes:

BayesInferenceApproxAdapter, EliminationAsk, EnumerationAsk

public interface BayesInference

General interface to be implemented by Bayesian Inference algorithms.

Author:

Ciaran O'Reilly

Method Summary

Modifier and Type	Method and Description
CategoricalDistribution	ask(RandomVariable[] X, AssignmentProposition[] observedEvidence, BayesianNetwork bn)

Method Detail

ask

CategoricalDistribution ask(RandomVariable[] X,
                            AssignmentProposition[] observedEvidence,
                            BayesianNetwork bn)

Parameters:

X - the query variables.

observedEvidence - observed values for variables E.

bn - a Bayes net with variables {X} ∪ E ∪ Y /* Y = hidden variables

Returns:

a distribution over the query variables.