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

    newVector.addElement(new Option(
  "\tnumber of cross validation folds to use for estimating accuracy.\n" 
  + "\t(default=5)", 
  "F", 1, "-F <num>"));
    
    newVector.addElement(new Option(
  "\tSeed for cross validation accuracy testimation.\n"
  + "\t(default = 1)", 
  "R", 1,"-R <seed>"));
    
    newVector.addElement(new Option(

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    newVector.addElement(new Option(
  "\tSeed for cross validation accuracy testimation.\n"
  + "\t(default = 1)", 
  "R", 1,"-R <seed>"));
    
    newVector.addElement(new Option(
  "\tthreshold by which to execute another cross validation\n" 
  + "\t(standard deviation---expressed as a percentage of the mean).\n"
  + "\t(default: 0.01 (1%))", 
  "T", 1, "-T <num>"));

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  "\tthreshold by which to execute another cross validation\n" 
  + "\t(standard deviation---expressed as a percentage of the mean).\n"
  + "\t(default: 0.01 (1%))", 
  "T", 1, "-T <num>"));
    
    newVector.addElement(new Option(
        "\tPerformance evaluation measure to use for selecting attributes.\n" +
        "\t(Default = accuracy for discrete class and rmse for numeric class)",
        "E", 1, "-E <acc | rmse | mae | f-meas | auc>"));


    if ((m_BaseClassifier != null) &&

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        "\t(Default = accuracy for discrete class and rmse for numeric class)",
        "E", 1, "-E <acc | rmse | mae | f-meas | auc>"));


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


      while (enu.hasMoreElements()) {

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              + m_BaseClassifier.getClass().getName() 
              + ":"));
      Enumeration enu = ((OptionHandler)m_BaseClassifier).listOptions();


      while (enu.hasMoreElements()) {
        newVector.addElement(enu.nextElement());
      }
    }


    return  newVector.elements();
  }

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   */
  public Enumeration listOptions() {


    Vector newVector = new Vector(1);


    newVector.addElement(new Option(
            "\tMaximum variance percentage allowed (default 99)",
            "M", 1, "-M <max variance %>"));




    return newVector.elements();

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    String string = "\tThe minimum number of objects in a bucket (default: 6).";


    Vector newVector = new Vector(1);


    newVector.addElement(new Option(string, "B", 1, 
            "-B <minimum bucket size>"));


    return newVector.elements();
  }

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    Vector result = new Vector();
    Enumeration enm = super.listOptions();
    while (enm.hasMoreElements())
      result.add(enm.nextElement());


    result.addElement(new Option(
        "\tA filter to apply (can be specified multiple times).",
        "F", 1, "-F <classname [options]>"));


    result.addElement(new Option(
        "\tAn attribute range (can be specified multiple times).\n"

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    result.addElement(new Option(
        "\tA filter to apply (can be specified multiple times).",
        "F", 1, "-F <classname [options]>"));


    result.addElement(new Option(
        "\tAn attribute range (can be specified multiple times).\n"
  + "\tFor each filter a range must be supplied. 'first' and 'last'\n"
  + "\tare valid indices. 'inv(...)' around the range denotes an\n"
  + "\tinverted range.",
        "R", 1, "-R <range>"));

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  + "\tFor each filter a range must be supplied. 'first' and 'last'\n"
  + "\tare valid indices. 'inv(...)' around the range denotes an\n"
  + "\tinverted range.",
        "R", 1, "-R <range>"));


    result.addElement(new Option(
        "\tFlag for leaving unused attributes out of the output, by default\n"
  + "\tthese are included in the filter output.",
        "U", 0, "-U"));


    return result.elements();

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