Examples of KStarNominalAttribute

weka.classifiers.lazy.kstar.KStarNominalAttribute
A custom class which provides the environment for computing the transformation probability of a specified test instance nominal attribute to a specified train instance nominal attribute. @author Len Trigg (len@reeltwo.com) @author Abdelaziz Mahoui (am14@cs.waikato.ac.nz) @version $Revision 1.0 $

Examples of weka.classifiers.lazy.kstar.KStarNominalAttribute

   * @return the value of the transformation probability.
   */
  private double attrTransProb(Instance first, Instance second, int col) {
    String debug = "(KStar.attrTransProb)";
    double transProb = 0.0;
    KStarNominalAttribute ksNominalAttr;
    KStarNumericAttribute ksNumericAttr;
    switch ( m_Train.attribute(col).type() )
      {
      case Attribute.NOMINAL:
  ksNominalAttr = new KStarNominalAttribute(first, second, col, m_Train, 
              m_RandClassCols, 
              m_Cache[col]);
  ksNominalAttr.setOptions(m_MissingMode, m_BlendMethod, m_GlobalBlend);
  transProb = ksNominalAttr.transProb();
  ksNominalAttr = null;
  break;


      case Attribute.NUMERIC:
  ksNumericAttr = new KStarNumericAttribute(first, second, col,

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Examples of weka.classifiers.lazy.kstar.KStarNominalAttribute

   * @return the value of the transformation probability.
   */
  private double attrTransProb(Instance first, Instance second, int col) {
    String debug = "(KStar.attrTransProb)";
    double transProb = 0.0;
    KStarNominalAttribute ksNominalAttr;
    KStarNumericAttribute ksNumericAttr;
    switch ( m_Train.attribute(col).type() )
      {
      case Attribute.NOMINAL:
  ksNominalAttr = new KStarNominalAttribute(first, second, col, m_Train, 
              m_RandClassCols, 
              m_Cache[col]);
  ksNominalAttr.setOptions(m_MissingMode, m_BlendMethod, m_GlobalBlend);
  transProb = ksNominalAttr.transProb();
  ksNominalAttr = null;
  break;


      case Attribute.NUMERIC:
  ksNumericAttr = new KStarNumericAttribute(first, second, col,

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Examples of weka.classifiers.lazy.kstar.KStarNominalAttribute

   * @return the value of the transformation probability.
   */
  private double attrTransProb(Instance first, Instance second, int col) {
    String debug = "(KStar.attrTransProb)";
    double transProb = 0.0;
    KStarNominalAttribute ksNominalAttr;
    KStarNumericAttribute ksNumericAttr;
    switch ( m_Train.attribute(col).type() )
      {
      case Attribute.NOMINAL:
  ksNominalAttr = new KStarNominalAttribute(first, second, col, m_Train, 
              m_RandClassCols, 
              m_Cache[col]);
  ksNominalAttr.setOptions(m_MissingMode, m_BlendMethod, m_GlobalBlend);
  transProb = ksNominalAttr.transProb();
  ksNominalAttr = null;
  break;


      case Attribute.NUMERIC:
  ksNumericAttr = new KStarNumericAttribute(first, second, col,

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