List of generateInstances() Examples

Examples of generateInstances()

weka.classifiers.bayes.net.BayesNetGenerator.generateInstances()
GenerateInstances generates random instances sampling from the distribution represented by the Bayes network structure. It assumes a Bayes network structure has been initialized @throws Exception if something goes wrong

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


    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.generateInstances()

              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);


              m_sFile = jTfFile.getText();

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


    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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