Examples of java.util.Vector.addElement()

java.util.Vector.addElement()
Adds the specified component to the end of this vector, increasing its size by one. The capacity of this vector is increased if its size becomes greater than its capacity.
This method is identical in functionality to the {@link #add(Object) add(E)}method (which is part of the {@link List} interface). @param obj the component to be added

             "\tinstance in order to know which instances are\n" +
             "\tin the test set of a cross validation. if 0\n" +
             "\tno output (default 0).",
       "I", 1, 
       "-I <index>"));
    newVector.addElement(new Option(
       "\tAdd target and prediction columns to the result\n" +
             "\tfor each fold.",
       "P", 0, 
       "-P"));

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       "P", 0, 
       "-P"));


    if ((m_Template != null) &&
  (m_Template instanceof OptionHandler)) {
      newVector.addElement(new Option(
       "",
       "", 0, "\nOptions specific to classifier "
       + m_Template.getClass().getName() + ":"));
      Enumeration enu = ((OptionHandler)m_Template).listOptions();
      while (enu.hasMoreElements()) {

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       "",
       "", 0, "\nOptions specific to classifier "
       + m_Template.getClass().getName() + ":"));
      Enumeration enu = ((OptionHandler)m_Template).listOptions();
      while (enu.hasMoreElements()) {
  newVector.addElement(enu.nextElement());
      }
    }
    return newVector.elements();
  }

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    if (m_Template instanceof AdditionalMeasureProducer) {
      Enumeration en = ((AdditionalMeasureProducer)m_Template).
  enumerateMeasures();
      while (en.hasMoreElements()) {
  String mname = (String)en.nextElement();
  newVector.addElement(mname);
      }
    }
    return newVector.elements();
  }

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  public Enumeration enumerateRequests() {
    Vector newVector = new Vector(0);
    if (m_executorPool != null && 
        (m_executorPool.getQueue().size() > 0 || 
            m_executorPool.getActiveCount() > 0)) {
      newVector.addElement("Stop");
    }


    if ((m_executorPool == null || 
        (m_executorPool.getQueue().size() == 0 && 
            m_executorPool.getActiveCount() == 0)) &&

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    if ((m_executorPool == null || 
        (m_executorPool.getQueue().size() == 0 && 
            m_executorPool.getActiveCount() == 0)) && 
        m_Classifier != null) {
      newVector.addElement("Save model");
    }


    if (m_executorPool == null || 
        (m_executorPool.getQueue().size() == 0 && 
            m_executorPool.getActiveCount() == 0)) {

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    }


    if (m_executorPool == null || 
        (m_executorPool.getQueue().size() == 0 && 
            m_executorPool.getActiveCount() == 0)) {
      newVector.addElement("Load model");
    }
    return newVector.elements();
  }


  /**

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   * @return an enumeration of the measure names
   */
  public Enumeration enumerateMeasures() {
    
    Vector newVector = new Vector(1);
    newVector.addElement("measureOutOfBagError");
    return newVector.elements();
  }
  
  /**
   * Returns the value of the named measure.

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   */
  public Enumeration listOptions() {
    
    Vector newVector = new Vector();


    newVector.addElement(new Option(
  "\tNumber of trees to build.",
  "I", 1, "-I <number of trees>"));
    
    newVector.addElement(new Option(
  "\tNumber of features to consider (<1=int(logM+1)).",

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    newVector.addElement(new Option(
  "\tNumber of trees to build.",
  "I", 1, "-I <number of trees>"));
    
    newVector.addElement(new Option(
  "\tNumber of features to consider (<1=int(logM+1)).",
  "K", 1, "-K <number of features>"));
    
    newVector.addElement(new Option(
  "\tSeed for random number generator.\n"

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