stochasticsampling
Class Evaluator

java.lang.Object
  |
  +--stochasticsampling.Evaluator

public class Evaluator

extends java.lang.Object

Title: Evaluator.java Description: Core Bayesian Network class Copyright: Copyright (c) 2001 Company: KSU / KDD

Field Summary

boolean	AIS
boolean	SIS

Constructor Summary

Evaluator(int totalsamples, BBN network, NodeManager nm, java.lang.String s, java.lang.String ev)
Evaluator is the constructor and initializes variables

Evaluator(int totalsamples, BBN network, NodeManager nm, java.lang.String s, java.lang.String ev, AdaptiveAndSelfIS ais)
Evaluator is the constructor and initializes variables

Method Summary

void	addRMSE(double d, int row, int col) addRMSE adds a value to the RMSE array
double	calculateSImpScore(java.util.Vector samplePoint) calculateSImpScore calculates the score of a given sample
void	clearFreqTable() clearFreqTable clears the frenquency table for each query node
void	clearFrequencies() clearFrequencies clears the vector of frequencies for all query nodes.
java.util.Vector	computeMPE(java.util.Vector allsamples) computeMPE estimates the MPE for the network
java.util.Vector	computeProbOfQueryNodesOntheFly(java.util.Vector SamplePoint, int t, double totalweight, java.lang.String sampling_method, double oneweight) computeProbOfQueryNodesOntheFly computes the probability of each instantiation of each query node based on the samples thus far.
double	computeRMSE_DforOneFromTwoProbs(java.util.Vector ExactProbsFromLS, java.util.Vector ApproProbsFromSampling) computeRMSE_DforOneFromTwoProbs computes the marginal RMSE for generated sample
java.util.Vector	getFrequencies() getFrequencies returns a vector of frequencies for all query nodes from samples.
double	getLikelihoodOfSample(java.util.Vector OneSample) getLikelihoodOfSample computes the likelihood (probability) of the currently generated sample
void	printResults() printResults prints the RMSE values in printingsarray
void	printResults(java.lang.String printingsFile) printResults prints the RMSE values in printingsarray

Methods inherited from class java.lang.Object

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

Field Detail

AIS

public boolean AIS

SIS

public boolean SIS

Constructor Detail

Evaluator

public Evaluator(int totalsamples,
                 BBN network,
                 NodeManager nm,
                 java.lang.String s,
                 java.lang.String ev)

Evaluator is the constructor and initializes variables

Parameters:

totalsamples - - the number of samples to be taken

network - - the Bayesian network

nm - - a copy of the NodeManager

s - - the type of sampling algorithm

evfile - - the evidence file name for the network

Evaluator

public Evaluator(int totalsamples,
                 BBN network,
                 NodeManager nm,
                 java.lang.String s,
                 java.lang.String ev,
                 AdaptiveAndSelfIS ais)

Evaluator is the constructor and initializes variables

Parameters:

totalsamples - - the number of samples to be taken

network - - the Bayesian network

nm - - a copy of the NodeManager

s - - the type of sampling algorithm

ev - - the evidence file name for the network

ais - - a copy of the AdaptiveAndSelfIS class

Method Detail

getFrequencies

public java.util.Vector getFrequencies()

getFrequencies returns a vector of frequencies for all query nodes from samples.

Returns:

Vector - vector of frequencies

clearFrequencies

public void clearFrequencies()

clearFrequencies clears the vector of frequencies for all query nodes.

addRMSE

public void addRMSE(double d,
                    int row,
                    int col)

addRMSE adds a value to the RMSE array

Parameters:

d - - the new RMSE value

row - - the row in the array

col - - the column in the array

printResults

public void printResults(java.lang.String printingsFile)
                  throws java.io.IOException

printResults prints the RMSE values in printingsarray

Parameters:

printingsFile - - the file to print the RMSE values to

printResults

public void printResults()
                  throws java.io.IOException

printResults prints the RMSE values in printingsarray

computeRMSE_DforOneFromTwoProbs

public double computeRMSE_DforOneFromTwoProbs(java.util.Vector ExactProbsFromLS,
                                              java.util.Vector ApproProbsFromSampling)

computeRMSE_DforOneFromTwoProbs computes the marginal RMSE for generated sample

Parameters:

ExactProbsFromLS - - a vector of the exact probabilities from LS for the query nodes in the network

ApproProbsFromSamples - - a vector of the approximate probabilities (based on samples taken) for the query nodes in the network.

Returns:

double - the RMSE value for the current sample

computeMPE

public java.util.Vector computeMPE(java.util.Vector allsamples)

computeMPE estimates the MPE for the network

Parameters:

allsamples - - m samples generated by StochasticSampling

Returns:

Vector - the MPE

calculateSImpScore

public double calculateSImpScore(java.util.Vector samplePoint)

calculateSImpScore calculates the score of a given sample

Parameters:

samplePoint - - the generated sample

Returns:

double - the calculated score

computeProbOfQueryNodesOntheFly

public java.util.Vector computeProbOfQueryNodesOntheFly(java.util.Vector SamplePoint,
                                                        int t,
                                                        double totalweight,
                                                        java.lang.String sampling_method,
                                                        double oneweight)

computeProbOfQueryNodesOntheFly computes the probability of each instantiation of each query node based on the samples thus far.

Parameters:

SamplePoint - - the current sample

t - - the number of samples that have been generated so far

totalweight - - the sum of the weights that each sample has produced so far

Returns:

Vector - the Vector of probabilities for each instantiation of each query node

clearFreqTable

public void clearFreqTable()

clearFreqTable clears the frenquency table for each query node

getLikelihoodOfSample

public double getLikelihoodOfSample(java.util.Vector OneSample)

getLikelihoodOfSample computes the likelihood (probability) of the currently generated sample

Parameters:

OneSample - - the current sample

Returns:

double - the computed likelihood of that sample