Examples of weka.core.Instances.deleteWithMissingClass()

weka.core.Instances.deleteWithMissingClass()
Removes all instances with a missing class value from the dataset. @throws UnassignedClassException if class is not set

    // can classifier handle the data?
    getCapabilities().testWithFail(data);


    // remove instances with missing class
    Instances train = new Instances(data);
    train.deleteWithMissingClass();
    
    if (m_Classifier == null) {
      throw new Exception("A base classifier has not been specified!");
    }

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    // can classifier handle the data?
    getCapabilities().testWithFail(exps);


    // remove instances with missing class
    Instances train = new Instances(exps);
    train.deleteWithMissingClass();


    m_NumClasses = train.numClasses();
    m_NumIterations = m_MaxIterations;


    if (m_Classifier == null)

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    // can classifier handle the data?
    getCapabilities().testWithFail(data);


    // remove instances with missing class
    Instances train = new Instances(data);
    train.deleteWithMissingClass();
    
    int numAttributes = train.attribute(1).relation().numAttributes();  
    m_Center = new double[numAttributes];


    if (getDebug())

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    Instances te = new Instances(i, i.numInstances());
    for (int noa = 0; noa < i.numInstances(); noa++) {
      te.add(i.instance(noa));
    }
    
    te.deleteWithMissingClass(); //remove all instances with a missing class
    //from training
    
    m_top = new TreeClass(null, 0, 0, m_nextId, 1, te, null);
    m_focus = m_top;
    //System.out.println(graph());

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    // can classifier handle the data?
    getCapabilities().testWithFail(instances);


    // remove instances with missing class
    Instances data = new Instances(instances);
    data.deleteWithMissingClass();


    // only class? -> build ZeroR model
    if (data.numAttributes() == 1) {
      System.err.println(
    "Cannot build model (only class attribute present in data!), "

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    getCapabilities().testWithFail(data);


    // remove instances with missing class
    Instances newData = new Instances(data);
    m_BaseFormat = new Instances(data, 0);
    newData.deleteWithMissingClass();
    
    Random random = new Random(m_Seed);
    newData.randomize(random);
    if (newData.classAttribute().isNominal()) {
      newData.stratify(m_NumFolds);

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  public void buildClassifier( Instances data ) throws Exception {


    getCapabilities().testWithFail( data );


    Instances newData = new Instances( data );
    newData.deleteWithMissingClass();


    for( int i = 0; i < m_Classifiers.length; i++ ) {
      getClassifier( i ).buildClassifier( newData );
    }
  }

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    // can classifier handle the data?
    getCapabilities().testWithFail(data);


    // remove instances with missing class
    Instances newData = new Instances(data);
    newData.deleteWithMissingClass();
    
    if (newData.numInstances() == 0) {
      m_Classifier.buildClassifier(newData);
      return;
    }

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      Classifier[] newModel = Classifier.makeCopies(m_Classifier, m_NumClasses);
      
      // Create a copy of the data with the class transformed into numeric
      Instances boostData = new Instances(data);
      boostData.deleteWithMissingClass();
      int numInstances = boostData.numInstances();
      
      // Temporarily unset the class index
      int classIndex = data.classIndex();
      boostData.setClassIndex(-1);

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    // can classifier handle the data?
    getCapabilities().testWithFail(instances);


    // remove instances with missing class
    Instances trainData = new Instances(instances);
    trainData.deleteWithMissingClass();
    
    if (!(m_Classifier instanceof OptionHandler)) {
      throw new IllegalArgumentException("Base classifier should be OptionHandler.");
    }
    m_InitOptions = ((OptionHandler)m_Classifier).getOptions();

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