Package weka.core

Examples of weka.core.Attribute.numValues()

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            } else {
              System.err.println(warningString);
            }
          }
          if (miningSchemaAtt.isNominal() || miningSchemaAtt.isString()) {
            int[] valuesMap = new int[incomingAtt.numValues()];
            for (int k = 0; k < incomingAtt.numValues(); k++) {
              String incomingNomVal = incomingAtt.value(k);
              int indexInSchema = miningSchemaAtt.indexOfValue(incomingNomVal);
              if (indexInSchema < 0) {
                String warningString = "[MappingInfo] WARNING: incoming nominal attribute "
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              System.err.println(warningString);
            }
          }
          if (miningSchemaAtt.isNominal() || miningSchemaAtt.isString()) {
            int[] valuesMap = new int[incomingAtt.numValues()];
            for (int k = 0; k < incomingAtt.numValues(); k++) {
              String incomingNomVal = incomingAtt.value(k);
              int indexInSchema = miningSchemaAtt.indexOfValue(incomingNomVal);
              if (indexInSchema < 0) {
                String warningString = "[MappingInfo] WARNING: incoming nominal attribute "
                  + incomingAtt.name() + " has value "
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    double total = 0;
    Enumeration attEnum = data.enumerateAttributes(); 
    while(attEnum.hasMoreElements()){
      Attribute att= (Attribute)attEnum.nextElement();
      if(att.isNominal())
  total += (double)att.numValues();
      else
  total += 2.0 * (double)data.numDistinctValues(att); 
    }
    return total;
  }
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        m_outputDef = new Attribute("BuiltInStringResult:substring", (weka.core.FastVector)null);
      }
      // for the other functions we can compute the resulting set of values
      Attribute inputVals = m_parameterDefs.get(0);
      FastVector newVals = new FastVector();
      for (int i = 0; i < inputVals.numValues(); i++) {
        String inVal = inputVals.value(i);
        newVals.addElement(m_func.eval(new Object[] {inVal}));
      }
      m_outputDef = new Attribute("BuiltInStringResult:" + m_func.toString(), newVals);
    }
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      tempAtt.addStringValue(m_mapMissingTo);
    }
   
    // now make this into a nominal attribute
    FastVector values = new FastVector();
    for (int i = 0; i < tempAtt.numValues(); i++) {
     values.addElement(tempAtt.value(i));
    }
   
    m_outputDef = new Attribute(m_fieldName + "_discretized", values);
  }
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            Attribute attr = (Attribute) enumAtt.nextElement();
            if (isMentionedIn(attr, rule.m_test)) {
        attUsed++;
        continue;
      }
            int M = attr.numValues();
            int[] covers = new int [M];
            int[] correct = new int [M];
            for (int j = 0; j < M; j++) {
        covers[j] = correct[j] = 0;
      }
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          String val = a.value((int)m_ClusterCentroids.instance(j).value(i));
          if (val.length() > maxWidth) {
            maxWidth = val.length();
          }
        }
        for (int j = 0; j < a.numValues(); j++) {
          String val = a.value(j) + " ";
          if (val.length() > maxAttWidth) {
            maxAttWidth = val.length();
          }
        }
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        String stdDevVal = "";

        if (m_ClusterCentroids.attribute(i).isNominal()) {
          // Do the values of the nominal attribute
          Attribute a = m_ClusterCentroids.attribute(i);
          for (int j = 0; j < a.numValues(); j++) {
            // full data
            String val = "  " + a.value(j);
            temp.append(pad(val, " ", maxAttWidth + 1 - val.length(), false));
            int count = m_FullNominalCounts[i][j];
            int percent = (int)((double)m_FullNominalCounts[i][j] /
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      if (a.name().length() > maxAttWidth) {
        maxAttWidth = m_theInstances.attribute(i).name().length();
      }
      if (a.isNominal()) {
        // check values
        for (int j = 0; j < a.numValues(); j++) {
          String val = a.value(j) + "  ";
          if (val.length() > maxAttWidth) {
            maxAttWidth = val.length();
          }
        }
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          temp.append(pad(stdDev, " ", maxWidth + 1 - stdDev.length(), true));
        }
        temp.append("\n\n");
      } else {
        Attribute a = m_theInstances.attribute(i);
        for (int j = 0; j < a.numValues(); j++) {
          String val = "  " + a.value(j);
          temp.append(pad(val, " ", maxAttWidth + 1 - val.length(), false));
          for (int k = 0; k < m_num_clusters; k++) {
            DiscreteEstimator d = (DiscreteEstimator)m_model[k][i];
            String count = Utils.doubleToString(d.getCount(j), maxWidth, 4).trim();
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