Package weka.core

Examples of weka.core.Instances.attribute()

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        while ((c = is.read()) != -1) {
          keyStr.append((char) c);
        }

        // Adding the topics to the file
        newInst[2] = (double) data.attribute(2).addStringValue(
            keyStr.toString());

      } catch (Exception e) {

        System.err
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      m_shapeSizes[index] = 10;
      m_previousShapeIndex = index;
     
      // Update the confusion matrix
//      double totalInstances =
      int tp = plotInstances.attribute(ThresholdCurve.TRUE_POS_NAME).index();
      int fp = plotInstances.attribute(ThresholdCurve.FALSE_POS_NAME).index();
      int tn = plotInstances.attribute(ThresholdCurve.TRUE_NEG_NAME).index();
      int fn = plotInstances.attribute(ThresholdCurve.FALSE_NEG_NAME).index();
      Instance temp = plotInstances.instance(index);
      double totalInstances = temp.value(tp) + temp.value(fp) + temp.value(tn) + temp.value(fn);
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      m_previousShapeIndex = index;
     
      // Update the confusion matrix
//      double totalInstances =
      int tp = plotInstances.attribute(ThresholdCurve.TRUE_POS_NAME).index();
      int fp = plotInstances.attribute(ThresholdCurve.FALSE_POS_NAME).index();
      int tn = plotInstances.attribute(ThresholdCurve.TRUE_NEG_NAME).index();
      int fn = plotInstances.attribute(ThresholdCurve.FALSE_NEG_NAME).index();
      Instance temp = plotInstances.instance(index);
      double totalInstances = temp.value(tp) + temp.value(fp) + temp.value(tn) + temp.value(fn);
      // get the value out of the total pop field (if possible)
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      // Update the confusion matrix
//      double totalInstances =
      int tp = plotInstances.attribute(ThresholdCurve.TRUE_POS_NAME).index();
      int fp = plotInstances.attribute(ThresholdCurve.FALSE_POS_NAME).index();
      int tn = plotInstances.attribute(ThresholdCurve.TRUE_NEG_NAME).index();
      int fn = plotInstances.attribute(ThresholdCurve.FALSE_NEG_NAME).index();
      Instance temp = plotInstances.instance(index);
      double totalInstances = temp.value(tp) + temp.value(fp) + temp.value(tn) + temp.value(fn);
      // get the value out of the total pop field (if possible)
      double requestedPopSize = totalInstances;
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      // Update the confusion matrix
//      double totalInstances =
      int tp = plotInstances.attribute(ThresholdCurve.TRUE_POS_NAME).index();
      int fp = plotInstances.attribute(ThresholdCurve.FALSE_POS_NAME).index();
      int tn = plotInstances.attribute(ThresholdCurve.TRUE_NEG_NAME).index();
      int fn = plotInstances.attribute(ThresholdCurve.FALSE_NEG_NAME).index();
      Instance temp = plotInstances.instance(index);
      double totalInstances = temp.value(tp) + temp.value(fp) + temp.value(tn) + temp.value(fn);
      // get the value out of the total pop field (if possible)
      double requestedPopSize = totalInstances;
      try {
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      for (int i = 0; i < data.numAttributes(); i++) {
  if (i == data.classIndex()) {
    newVec.addElement(new Attribute(data.classAttribute().name(), values,
            data.classAttribute().getMetadata()));
  } else {
    newVec.addElement(data.attribute(i));
  }
      }
      Instances newInsts = new Instances(data.relationName(), newVec, 0);
      newInsts.setClassIndex(data.classIndex());
      setOutputFormat(newInsts);
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      for (i =0; i < structure.numAttributes(); i++) {
  if (i > 10) {
    i--;
    break;
  }
  m_legendText.addElement(structure.attribute(i).name());
  m_legendPanel.repaint();
  m_scalePanel.repaint();
      }
      m_dataPoint = new double[i];
      m_xCount = 0;
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    m_Filter = getFilter("1,2");
    Instances result = useFilter();
    assertEquals(m_Instances.numAttributes(), result.numAttributes());
    // None of the attributes should have changed, since 1,2 aren't numeric
    for (int i = 0; i < result.numAttributes(); i++) {
      assertEquals(m_Instances.attribute(i).type(), result.attribute(i).type());
      assertEquals(m_Instances.attribute(i).name(), result.attribute(i).name());
    }
  }

  public void testTypical2() {
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    Instances result = useFilter();
    assertEquals(m_Instances.numAttributes(), result.numAttributes());
    // None of the attributes should have changed, since 1,2 aren't numeric
    for (int i = 0; i < result.numAttributes(); i++) {
      assertEquals(m_Instances.attribute(i).type(), result.attribute(i).type());
      assertEquals(m_Instances.attribute(i).name(), result.attribute(i).name());
    }
  }

  public void testTypical2() {
    m_Filter = getFilter("3-4");
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    m_Filter = getFilter("3-4");
    Instances result = useFilter();
    assertEquals(m_Instances.numAttributes(), result.numAttributes());
    for (int i = 0; i < result.numAttributes(); i++) {
      if (i != 2) {
        assertEquals(m_Instances.attribute(i).type(), result.attribute(i).type());
        assertEquals(m_Instances.attribute(i).name(), result.attribute(i).name());
      } else {
        assertEquals(Attribute.NOMINAL, result.attribute(i).type());
        assertEquals(1, result.attribute(i).numValues());
      }
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