Package de.uka.ipd.sdq.dsexplore.bayesnets.utility

Class BayesNetworkScore

java.lang.Object

de.uka.ipd.sdq.dsexplore.bayesnets.utility.BayesNetworkScore

public class BayesNetworkScore
extends Object

Class for calculating the score of a Bayesian Network. It contains various scoring techniques which the user can use at his/her own discretion.

Field Summary

Fields

Modifier and Type	Field	Description
protected static double	SQTPI

Constructor Summary

Constructors

Constructor	Description
BayesNetworkScore(int[][] GraphMatrix, int[][] DataMatrix)	Constructor for the class.

Method Summary

Modifier and Type	Method	Description
double	AIC()	Scores the network according to the Akaike Information Criterion (AIC) technique.
double	BDeuNetworkScore()	Scores the network according to the BDeu scoring technique.
double	BIC()	Scores the network according to the Bayesian Information Criterion (BIC) technique.
double	K2NetworkScore()	Scores the network according to the K2 scoring technique
double	LogLik()	Scores the network using the log-likelihood technique.
static void	main(String[] args)

Methods inherited from class java.lang.Object

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

Field Detail

SQTPI

protected static final double SQTPI

See Also:

Constant Field Values

Constructor Detail

BayesNetworkScore

public BayesNetworkScore(int[][] GraphMatrix,
                         int[][] DataMatrix)

Constructor for the class. Initializes the Graph and Data fields

Parameters:

int - [][] GraphMatrix - Adjacency matrix for the Graph

int - [][] DataMatrix - Matrix for the Data containing 0 and 1.

Method Detail

main

public static void main(String[] args)

K2NetworkScore

public double K2NetworkScore()

Scores the network according to the K2 scoring technique

Parameters:

No - parameters

Returns:

The score of the network as a double

BDeuNetworkScore

public double BDeuNetworkScore()

Scores the network according to the BDeu scoring technique. (Not recommended for use currently)

Parameters:

No - parameters

Returns:

The score of the network as a double

LogLik

public double LogLik()

Scores the network using the log-likelihood technique.

Parameters:

No - parameters

Returns:

The score of the network as a double

BIC

public double BIC()

Scores the network according to the Bayesian Information Criterion (BIC) technique.

Parameters:

No - parameters

Returns:

The score of the network as a double

AIC

public double AIC()

Scores the network according to the Akaike Information Criterion (AIC) technique.

Parameters:

No - parameters

Returns:

The score of the network as a double