Package weka.experiment

Examples of weka.experiment.ClassifierSplitEvaluator


    m_NewBut.addActionListener(new ActionListener() {
  public void actionPerformed(ActionEvent e) {
    Experiment newExp = new Experiment();
    CrossValidationResultProducer cvrp = new CrossValidationResultProducer();
    cvrp.setNumFolds(10);
    cvrp.setSplitEvaluator(new ClassifierSplitEvaluator());
    newExp.setResultProducer(cvrp);
    newExp.setPropertyArray(new Classifier[0]);
    newExp.setUsePropertyIterator(true);
    setExperiment(newExp);
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    }

    SplitEvaluator se = null;
    Classifier sec = null;
    if (m_ExpClassificationRBut.isSelected()) {
      se = new ClassifierSplitEvaluator();
      sec = ((ClassifierSplitEvaluator)se).getClassifier();
    } else {
      se = new RegressionSplitEvaluator();
      sec = ((RegressionSplitEvaluator)se).getClassifier();
    }
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    m_NewBut.addActionListener(new ActionListener() {
  public void actionPerformed(ActionEvent e) {
    Experiment newExp = new Experiment();
    CrossValidationResultProducer cvrp = new CrossValidationResultProducer();
    cvrp.setNumFolds(10);
    cvrp.setSplitEvaluator(new ClassifierSplitEvaluator());
    newExp.setResultProducer(cvrp);
    newExp.setPropertyArray(new Classifier[0]);
    newExp.setUsePropertyIterator(true);
    setExperiment(newExp);
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    }

    SplitEvaluator se = null;
    Classifier sec = null;
    if (m_ExpClassificationRBut.isSelected()) {
      se = new ClassifierSplitEvaluator();
      sec = ((ClassifierSplitEvaluator)se).getClassifier();
    } else {
      se = new RegressionSplitEvaluator();
      sec = ((RegressionSplitEvaluator)se).getClassifier();
    }
View Full Code Here

    m_NewBut.addActionListener(new ActionListener() {
  public void actionPerformed(ActionEvent e) {
    Experiment newExp = new Experiment();
    CrossValidationResultProducer cvrp = new CrossValidationResultProducer();
    cvrp.setNumFolds(10);
    cvrp.setSplitEvaluator(new ClassifierSplitEvaluator());
    newExp.setResultProducer(cvrp);
    newExp.setPropertyArray(new Classifier[0]);
    newExp.setUsePropertyIterator(true);
    setExperiment(newExp);
View Full Code Here

    }

    SplitEvaluator se = null;
    Classifier sec = null;
    if (m_ExpClassificationRBut.isSelected()) {
      se = new ClassifierSplitEvaluator();
      sec = ((ClassifierSplitEvaluator)se).getClassifier();
    } else {
      se = new RegressionSplitEvaluator();
      sec = ((RegressionSplitEvaluator)se).getClassifier();
    }
View Full Code Here

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