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 final 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 Details

  • Constructor Details

    • 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 Details

    • 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