Examples of weka.classifiers.bayes.net.EditableBayesNet

weka.classifiers.bayes.net.EditableBayesNet

s.waikato.ac.nz/~remco/weka.pdf

Valid options are:

 -D Do not use ADTree data structure

 -B <BIF file> BIF file to compare with

 -Q weka.classifiers.bayes.net.search.SearchAlgorithm Search algorithm

 -E weka.classifiers.bayes.net.estimate.SimpleEstimator Estimator algorithm

@author Remco Bouckaert (rrb@xm.co.nz) @version $Revision: 4899 $

   */
  public void loadBIFFromFile(String sFileName){
    BIFReader bayesNet = new BIFReader();
    try {
      bayesNet.processFile(sFileName); 
      m_BayesNet = new EditableBayesNet(bayesNet); 
      updateStatus();
        } catch (Exception e) { 
      e.printStackTrace();
    } 
  }

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      super("New", "New Network", "new", "");
    } // c'tor


    public void actionPerformed(ActionEvent ae) {
      m_sFileName = "";
      m_BayesNet = new EditableBayesNet(true);
      updateStatus();
      layoutGraph();
      a_datagenerator.setEnabled(false);
      m_BayesNet.clearUndoStack();
        m_jStatusBar.setText("New Network");

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    m_sFileName = sFileName;
    try {


      BIFReader bayesNet = new BIFReader();
      bayesNet.processFile(sFileName);
      m_BayesNet = new EditableBayesNet(bayesNet);
      updateStatus();
      a_datagenerator.setEnabled(m_BayesNet.getNrOfNodes() > 0);
      m_BayesNet.clearUndoStack();
    } catch (Exception ex) {
      ex.printStackTrace();

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   * representing attributes in data set.
   */
  void initFromArffFile(String sFileName) {
    try {
      Instances instances = new Instances(new FileReader(sFileName));
      m_BayesNet = new EditableBayesNet(instances);
      m_Instances = instances;
      a_learn.setEnabled(true);
      a_learnCPT.setEnabled(true);
      setAppropriateNodeSize();
      setAppropriateSize();

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              generator.generateRandomNetwork();
              // Convert to EditableBayesNet
              // This ensures the getOptions() called by GenericObjectEditor to get the correct result.
              BIFReader bifReader = new BIFReader();
              bifReader.processString(m_BayesNet.toXMLBIF03());
              m_BayesNet = new EditableBayesNet(bifReader);


              updateStatus();
              layoutGraph();
              a_datagenerator.setEnabled(true);
              m_Instances = null;;

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Related Classes of weka.classifiers.bayes.net.EditableBayesNet

trackerModule.weka.WekaInterface

weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes

weka.classifiers.bayes.net.GUI

weka.classifiers.bayes.net.GUI$ActionGenerateNetwork

weka.classifiers.bayes.net.GUI$ActionNew

weka.core.Attribute

weka.core.FastVector

weka.core.Instances

weka.core.SerializedObject

weka.filters.unsupervised.attribute.Reorder

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