aima.core.probability.bayes.approx

Class BayesInferenceApproxAdapter

java.lang.Object

aima.core.probability.bayes.approx.BayesInferenceApproxAdapter

All Implemented Interfaces:

BayesInference

public class BayesInferenceApproxAdapter
extends java.lang.Object
implements BayesInference

An Adapter class to let BayesSampleInference implementations to be used in places where calls are being made to the BayesInference API.

Author:

Ciaran O'Reilly

Constructor Summary

Constructors

Constructor and Description
BayesInferenceApproxAdapter(BayesSampleInference adaptee)
BayesInferenceApproxAdapter(BayesSampleInference adaptee, int N)

Method Summary

Modifier and Type	Method and Description
CategoricalDistribution	ask(RandomVariable[] X, AssignmentProposition[] observedEvidence, BayesianNetwork bn)
BayesSampleInference	getAdaptee()
int	getN()
void	setAdaptee(BayesSampleInference adaptee)
void	setN(int n)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

BayesInferenceApproxAdapter

public BayesInferenceApproxAdapter(BayesSampleInference adaptee)

BayesInferenceApproxAdapter

public BayesInferenceApproxAdapter(BayesSampleInference adaptee,
                                   int N)

Method Detail

getN

public int getN()

Returns:

the number of Samples when calling the BayesSampleInference adaptee.

setN

public void setN(int n)

Parameters:

n - the numver of samples to be generated when calling the BayesSampleInference adaptee.

getAdaptee

public BayesSampleInference getAdaptee()

Returns:

The BayesSampleInference implementation to be adapted to the BayesInference API.

setAdaptee

public void setAdaptee(BayesSampleInference adaptee)

Parameters:

adaptee - the BayesSampleInference implementation be be apated to the BayesInference API.

ask

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

Specified by:

ask in interface BayesInference

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.