aima.probability
Class BayesNet

java.lang.Object
  aima.probability.BayesNet

public class BayesNet
extends java.lang.Object

Constructor Summary

BayesNet(BayesNetNode root)

BayesNet(BayesNetNode root1, BayesNetNode root2)

BayesNet(BayesNetNode root1, BayesNetNode root2, BayesNetNode root3)

BayesNet(java.util.List<BayesNetNode> rootNodes)

Method Summary

java.util.Hashtable	getPriorSample()
java.util.Hashtable	getPriorSample(Randomizer r)
java.util.List<java.lang.String>	getVariables()
double[]	likelihoodWeighting(java.lang.String X, java.util.Hashtable<java.lang.String,java.lang.Boolean> evidence, int numberOfSamples)
double[]	likelihoodWeighting(java.lang.String X, java.util.Hashtable<java.lang.String,java.lang.Boolean> evidence, int numberOfSamples, Randomizer r)
double[]	mcmcAsk(java.lang.String X, java.util.Hashtable<java.lang.String,java.lang.Boolean> evidence, int numberOfVariables)
double[]	mcmcAsk(java.lang.String X, java.util.Hashtable<java.lang.String,java.lang.Boolean> evidence, int numberOfVariables, Randomizer r)
double	probabilityOf(java.lang.String Y, java.lang.Boolean value, java.util.Hashtable<java.lang.String,java.lang.Boolean> evidence)
double[]	rejectionSample(java.lang.String X, java.util.Hashtable<java.lang.String,java.lang.Boolean> evidence, int numberOfSamples)
double[]	rejectionSample(java.lang.String X, java.util.Hashtable evidence, int numberOfSamples, Randomizer r)

Methods inherited from class java.lang.Object

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

Constructor Detail

BayesNet

public BayesNet(BayesNetNode root)

BayesNet

public BayesNet(BayesNetNode root1,
                BayesNetNode root2)

BayesNet

public BayesNet(BayesNetNode root1,
                BayesNetNode root2,
                BayesNetNode root3)

BayesNet

public BayesNet(java.util.List<BayesNetNode> rootNodes)

Method Detail

getVariables

public java.util.List<java.lang.String> getVariables()

probabilityOf

public double probabilityOf(java.lang.String Y,
                            java.lang.Boolean value,
                            java.util.Hashtable<java.lang.String,java.lang.Boolean> evidence)

getPriorSample

public java.util.Hashtable getPriorSample(Randomizer r)

getPriorSample

public java.util.Hashtable getPriorSample()

rejectionSample

public double[] rejectionSample(java.lang.String X,
                                java.util.Hashtable evidence,
                                int numberOfSamples,
                                Randomizer r)

likelihoodWeighting

public double[] likelihoodWeighting(java.lang.String X,
                                    java.util.Hashtable<java.lang.String,java.lang.Boolean> evidence,
                                    int numberOfSamples,
                                    Randomizer r)

mcmcAsk

public double[] mcmcAsk(java.lang.String X,
                        java.util.Hashtable<java.lang.String,java.lang.Boolean> evidence,
                        int numberOfVariables,
                        Randomizer r)

mcmcAsk

public double[] mcmcAsk(java.lang.String X,
                        java.util.Hashtable<java.lang.String,java.lang.Boolean> evidence,
                        int numberOfVariables)

likelihoodWeighting

public double[] likelihoodWeighting(java.lang.String X,
                                    java.util.Hashtable<java.lang.String,java.lang.Boolean> evidence,
                                    int numberOfSamples)

rejectionSample

public double[] rejectionSample(java.lang.String X,
                                java.util.Hashtable<java.lang.String,java.lang.Boolean> evidence,
                                int numberOfSamples)