edu.ksu.cis.bnj.bbn.learning.scorebased.gradient
Class HillClimbingDPSL

java.lang.Object
  edu.ksu.cis.bnj.bbn.learning.Learner
      edu.ksu.cis.bnj.bbn.learning.ScoreBasedLearner
          edu.ksu.cis.bnj.bbn.learning.scorebased.gradient.HillClimbingSL
              edu.ksu.cis.bnj.bbn.learning.scorebased.gradient.HillClimbingDPSL

All Implemented Interfaces:

Optionable

public class HillClimbingDPSL

extends HillClimbingSL

Author:

Haipeng Guo

Field Summary

protected Gamma

seedGamma

Fields inherited from class edu.ksu.cis.bnj.bbn.learning.scorebased.gradient.HillClimbingSL

ADDED, allGraphs, allGraphScores, bbnGraph, containsCycle, curErrors, CYCLE, errors, errorType, inputFile, maxParents, maxScore, minNumChanges, NA, numOfChanges, numOfNodes, parentTable, path, previousScore, recentChange, REMOVED, REVERSED, tempScore, totalNumOfChanges

Fields inherited from class edu.ksu.cis.bnj.bbn.learning.ScoreBasedLearner

candidateScorer, defaultParentLimit, parentLimit, structureScorer

Fields inherited from class edu.ksu.cis.bnj.bbn.learning.Learner

bbnNodes, calculateCPT, data, indexTable, learnerClassName, OPT_CALCULATE_RMSE, options

Fields inherited from interface edu.ksu.cis.kdd.util.gui.Optionable

OPT_OUTPUT_FILE

Constructor Summary

HillClimbingDPSL()

HillClimbingDPSL(Data data)

Method Summary

double[]	generateDirichletDistribution(int n, double[] alphas, double beta) This method generate distribution functions with Dirichlet priors (alphas) *
BBNGraph	getGraph() The learning algorithm is here
static void	main(java.lang.String[] args)
void	randomReweighting(double beta) random Rewighting

Methods inherited from class edu.ksu.cis.bnj.bbn.learning.scorebased.gradient.HillClimbingSL

addParentsToGraph, getNetworkScore, initializeGraph, initializeNodeParents, initializeNodes, initializePossibleParents, learnGraph, printErrors, resetCPT, setGoldGraph, setResultsFile

Methods inherited from class edu.ksu.cis.bnj.bbn.learning.ScoreBasedLearner

computeCPT, getParentLimit, iterateUniqueInstantiation, setCandidateScorer, setParentLimit, setStructureScorer, setTable

Methods inherited from class edu.ksu.cis.bnj.bbn.learning.Learner

getCalculateRMSE, getCurrentOptions, getData, getDefaultOptions, getName, getOptionsDialog, getOutputFile, initialize, isCalculateCPT, load, populateNodes, processParameters, setCalculateCPT, setCalculateRMSE, setData, setOption, setOptions, setOutputFile

Methods inherited from class java.lang.Object

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

Field Detail

seedGamma

protected Gamma seedGamma

Constructor Detail

HillClimbingDPSL

public HillClimbingDPSL()

HillClimbingDPSL

public HillClimbingDPSL(Data data)

Method Detail

generateDirichletDistribution

public double[] generateDirichletDistribution(int n,
                                              double[] alphas,
                                              double beta)

This method generate distribution functions with Dirichlet priors (alphas) *

Parameters:

n - :

alphas - : a vector of double numbers

Returns:

randomReweighting

public void randomReweighting(double beta)

random Rewighting

getGraph

public BBNGraph getGraph()

Description copied from class: Learner

The learning algorithm is here

Overrides:

getGraph in class HillClimbingSL

main

public static void main(java.lang.String[] args)