List of generateRandomNetwork() Examples

Examples of generateRandomNetwork()

weka.classifiers.bayes.net.BayesNetGenerator.generateRandomNetwork()
Generate random connected Bayesian network with discrete nodes having all the same cardinality. @throws Exception if something goes wrong

Examples of weka.classifiers.bayes.net.BayesNetGenerator.generateRandomNetwork()

    BayesNetGenerator   bng;


    bng = new BayesNetGenerator();
    bng.setOptions(getGenerator().getOptions());
    setGeneratorOption(bng, "M", "1");
    bng.generateRandomNetwork();
    bng.generateInstances();
    bng.m_Instances.renameAttribute(0, "class");
    bng.m_Instances.setRelationName(getRelationNameToUse());
    
    return bng.m_Instances;

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Examples of weka.classifiers.bayes.net.BayesNetGenerator.generateRandomNetwork()

              options[4] = "-C";
              options[5] = "" + jTfCardinality.getText();
              options[6] = "-S";
              options[7] = "" + jTfSeed.getText();
              generator.setOptions(options);
              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);

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Examples of weka.classifiers.bayes.net.BayesNetGenerator.generateRandomNetwork()

              text.append(m_marginCalculator.toXMLBIF03());
              outfile.write(text.toString());
              outfile.close();


              generator.setOptions(options);
              generator.generateRandomNetwork();
              generator.generateInstances();
              m_Instances = generator.m_Instances;
              a_learn.setEnabled(true);
              a_learnCPT.setEnabled(true);

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Examples of weka.classifiers.bayes.net.BayesNetGenerator.generateRandomNetwork()

    BayesNetGenerator   bng;


    bng = new BayesNetGenerator();
    bng.setOptions(getGenerator().getOptions());
    setGeneratorOption(bng, "M", "1");
    bng.generateRandomNetwork();
    bng.generateInstances();
    bng.m_Instances.renameAttribute(0, "class");
    bng.m_Instances.setRelationName(getRelationNameToUse());
    
    return bng.m_Instances;

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