public void initialize(ClusModel model, ClusSchema schema) {
   CompleteTreeIterator iter = new CompleteTreeIterator((ClusNode) model);
   while (iter.hasMoreNodes()) {
     ClusNode node = (ClusNode) iter.getNextNode();
     ClusStatistic stat = m_Clone.cloneStat();
     node.setClusteringStat(stat);
     stat.setSDataSize(1);
   }
 }
Пример #2
0
 /**
  * Checks weather values of a target attribute are significantly different
  *
  * @return
  */
 public boolean targetSignDifferent() {
   boolean res = false;
   int att = -1;
   String att_name;
   String att_name2;
   ClusStatistic targetStat = m_StatManager.getStatistic(ClusAttrType.ATTR_USE_TARGET);
   if (targetStat instanceof ClassificationStat) {
     for (int i = 0; i < targetStat.getNbNominalAttributes(); i++) {
       att_name = ((ClassificationStat) targetStat).getAttribute(i).getName();
       for (int j = 0; j < m_ClassStat.getNbNominalAttributes(); j++) {
         att_name2 = m_ClassStat.getAttribute(j).getName();
         if (att_name.equals(att_name2)) {
           att = j;
           break;
         }
       }
       if (SignDifferentNom(att)) {
         res = true;
         break; // TODO: If one target att significant, the whole rule significant!?
       }
     }
     // System.out.println("Target sign. testing: " + res);
     return res;
   } else if (targetStat instanceof RegressionStat) {
     for (int i = 0; i < targetStat.getNbNumericAttributes(); i++) {
       att_name = ((RegressionStat) targetStat).getAttribute(i).getName();
       for (int j = 0; j < m_RegStat.getNbNumericAttributes(); j++) {
         att_name2 = m_RegStat.getAttribute(j).getName();
         if (att_name.equals(att_name2)) {
           att = j;
           break;
         }
       }
       try {
         if (SignDifferentNum(att)) {
           res = true;
           break; // TODO: If one target att significant, the whole rule significant!?
         }
       } catch (IllegalArgumentException e) {
         e.printStackTrace();
       } catch (MathException e) {
         e.printStackTrace();
       }
     }
     return res;
   } else {
     // TODO: Classification and regression
     return true;
   }
 }
Пример #3
0
 public void setTrainingStat(ClusStatistic train) {
   CombStat ctrain = (CombStat) train;
   m_RegStat.setTrainingStat(train.getRegressionStat());
   m_ClassStat.setTrainingStat(train.getClassificationStat());
 }