List of deleteWithMissingClass() Examples

Examples of deleteWithMissingClass()

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

Examples of weka.core.Instances.deleteWithMissingClass()

    // 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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Examples of weka.core.Instances.deleteWithMissingClass()


      // load data
      Instances data = new weka.core.converters.ConverterUtils.DataSource(curArff.toString()).getDataSet();
      if (data.classIndex() == -1)
        data.setClassIndex(data.numAttributes() - 1);
      data.deleteWithMissingClass();


      // count numeric and nominal attributes
      int numNumeric = 0, numNominal = 0;
      for (int i = 0; i < data.numAttributes(); i++) {
        if ( data.classIndex()==i )

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Examples of weka.core.Instances.deleteWithMissingClass()

    // 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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Examples of weka.core.Instances.deleteWithMissingClass()

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


    // remove instances with missing class
    Instances data = new Instances(instances);
    data.deleteWithMissingClass();
    
    if(data.numInstances() < m_Folds)
      throw new Exception("Not enough data for REP.");


    m_ClassAttribute = data.classAttribute();

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Examples of weka.core.Instances.deleteWithMissingClass()

      
      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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Examples of weka.core.Instances.deleteWithMissingClass()

    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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Examples of weka.core.Instances.deleteWithMissingClass()

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


    // remove instances with missing class
    Instances newData = new Instances(exs);
    newData.deleteWithMissingClass();
    
    int numegs = newData.numInstances();
    m_Dimension = newData.attribute(1).relation().numAttributes();
    m_Attributes = newData.stringFreeStructure(); 
    m_Change = new double[numegs][m_Dimension];

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Examples of weka.core.Instances.deleteWithMissingClass()

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


    // remove instances with missing class
    Instances data = new Instances(instances);
    data.deleteWithMissingClass();
    
    int numCl = data.numClasses();
    m_Root = new Ridor_node();
    m_Class = instances.classAttribute();     // The original class label

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Examples of weka.core.Instances.deleteWithMissingClass()

  public void buildClassifier(Instances data) throws Exception {
    // can classifier handle the data?
    getCapabilities().testWithFail(data);
    // remove instances with missing class
    Instances instances =  new Instances(data);
    instances.deleteWithMissingClass();


    m_binaryClassifiers = new DNBBinary[instances.numClasses()];
    m_numClasses=instances.numClasses();
    m_headerInfo = new Instances(instances, 0);
    for (int i = 0; i < instances.numClasses(); i++) {

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Examples of weka.core.Instances.deleteWithMissingClass()

      
      Instances data = new Instances(instances);
      if(Utils.eq(data.sumOfWeights(),0))
  throw new Exception(" No training data.");
      
      data.deleteWithMissingClass();
      if(Utils.eq(data.sumOfWeights(),0))
  throw new Exception(" The class labels of all the training data are missing.");  
      
      if(data.numInstances() < m_Folds)
  throw new Exception(" Not enough data for REP.");

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