Examples of weka.core.Instance

weka.core.Instance
te empty instance with three attribute values
Instance inst = new Instance(3);

// Set instance's values for the attributes "length", "weight", and "position"
inst.setValue(length, 5.3);
inst.setValue(weight, 300);
inst.setValue(position, "first");

// Set instance's dataset to be the dataset "race"
inst.setDataset(race);

// Print the instance
System.out.println("The instance: " + inst);
...

All methods that change an instance are safe, ie. a change of an instance does not affect any other instances. All methods that change an instance's attribute values clone the attribute value vector before it is changed. If your application heavily modifies instance values, it may be faster to create a new instance from scratch. @author Eibe Frank (eibe@cs.waikato.ac.nz) @version $Revision: 5970 $

     * @see      #getData()
     */
    public ArffReader(Reader reader, Instances template, int lines) throws IOException {
      this(reader, template, lines, 100);


      Instance inst;
      while ((inst = readInstance(m_Data)) != null) {
        m_Data.add(inst);
      };


      compactify();

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      // Add instance to dataset
      double[] tempValues = new double[numValues];
      int[] tempIndices = new int[numValues];
      System.arraycopy(m_ValueBuffer, 0, tempValues, 0, numValues);
      System.arraycopy(m_IndicesBuffer, 0, tempIndices, 0, numValues);
      Instance inst = new SparseInstance(weight, tempValues, tempIndices, m_Data.numAttributes());
      inst.setDataset(m_Data);
      
      return inst;
    }

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          weight = 1.0;
        }
      }
        
      // Add instance to dataset
      Instance inst = new DenseInstance(weight, instance);
      inst.setDataset(m_Data);
      
      return inst;
    }

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      Instances cBCurve = m_costBenefit.getPlotInstances();
      int maxMinIndex = 0;
      
      for (int i = 0; i < cBCurve.numInstances(); i++) {
        Instance current = cBCurve.instance(i);
        if (max) {
          if (current.value(1) > maxMin) {
            maxMin = current.value(1);
            maxMinIndex = i;
          }
        } else {
          if (current.value(1) < maxMin) {
            maxMin = current.value(1);
            maxMinIndex = i;
          }
        }
      }

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      double CB = m_costBenefit.
        getPlotInstances().instance(index).value(1);
      m_costBenefitV.setText(Utils.doubleToString(CB,2));
      
      double totalRandomCB = 0.0;
      Instance first = m_masterPlot.getPlotInstances().instance(0);
      double totalPos = first.value(m_masterPlot.getPlotInstances().
          attribute(ThresholdCurve.TRUE_POS_NAME).index()) * scaleFactor;
      double totalNeg = first.value(m_masterPlot.getPlotInstances().
          attribute(ThresholdCurve.FALSE_POS_NAME)) * scaleFactor;


      double posInSample = (totalPos * (Double.parseDouble(m_percPopLab.getText()) / 100.0));
      double negInSample = (totalNeg * (Double.parseDouble(m_percPopLab.getText()) / 100.0));
      double posOutSample = totalPos - posInSample;
      double negOutSample = totalNeg - negInSample;
      
      double tpCost = 0.0;
      try {
        tpCost = Double.parseDouble(m_cost_aa.getText());
      } catch (NumberFormatException n) {}
      double fpCost = 0.0;
      try {
        fpCost = Double.parseDouble(m_cost_ba.getText());
      } catch (NumberFormatException n) {}
      double tnCost = 0.0;
      try {
        tnCost = Double.parseDouble(m_cost_bb.getText());
      } catch (NumberFormatException n) {}
      double fnCost = 0.0;
      try {
        fnCost = Double.parseDouble(m_cost_ab.getText());
      } catch (NumberFormatException n) {}
            
      totalRandomCB += posInSample * tpCost;
      totalRandomCB += negInSample * fpCost;
      totalRandomCB += posOutSample * fnCost;
      totalRandomCB += negOutSample * tnCost;
      
      m_randomV.setText(Utils.doubleToString(totalRandomCB, 2));
      double gain = (m_costR.isSelected()) 
      ? totalRandomCB - CB
          : CB - totalRandomCB;
      m_gainV.setText(Utils.doubleToString(gain, 2));
      
      // update classification rate
      Instance currentInst = m_masterPlot.getPlotInstances().instance(index);
      double tp = currentInst.value(m_masterPlot.getPlotInstances().
          attribute(ThresholdCurve.TRUE_POS_NAME).index());
      double tn = currentInst.value(m_masterPlot.getPlotInstances().
          attribute(ThresholdCurve.TRUE_NEG_NAME).index());
      m_classificationAccV.
        setText(Utils.doubleToString((tp + tn) / (totalPos + totalNeg) * 100.0, 4) + "%");      
    }

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//      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 {
        requestedPopSize = Double.parseDouble(m_totalPopField.getText());
      } catch (NumberFormatException e) {}
      
      m_conf_aa.setCellValue(temp.value(tp), totalInstances, 
          requestedPopSize / totalInstances, 2);
      m_conf_ab.setCellValue(temp.value(fn), totalInstances, 
          requestedPopSize / totalInstances, 2);
      m_conf_ba.setCellValue(temp.value(fp), totalInstances, 
          requestedPopSize / totalInstances, 2);
      m_conf_bb.setCellValue(temp.value(tn), totalInstances, 
            requestedPopSize / totalInstances, 2);
      
      updateCBRandomGainInfo(index);
      
      repaint();

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      m_tnPrevious = 0;
      m_fnPrevious = 0;
      m_previousShapeIndex = -1;


      // set the total population size
      Instance first = m_masterPlot.getPlotInstances().instance(0);
      double totalPos = first.value(m_masterPlot.getPlotInstances().
          attribute(ThresholdCurve.TRUE_POS_NAME).index());
      double totalNeg = first.value(m_masterPlot.getPlotInstances().
          attribute(ThresholdCurve.FALSE_POS_NAME));
      m_originalPopSize = (int)(totalPos + totalNeg);
      m_totalPopField.setText("" + m_originalPopSize);


      m_performancePanel.setYIndex(5);

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      // process the performance data to make this curve
      Instances performanceI = m_masterPlot.getPlotInstances();
      
      for (int i = 0; i < performanceI.numInstances(); i++) {
        Instance current = performanceI.instance(i);
        
        double[] vals = new double[2];
        vals[0] = current.value(10); // sample size
        vals[1] = (current.value(0) * tpCost
            + current.value(1) * fnCost
            + current.value(2) * fpCost
            + current.value(3) * tnCost) * scaleFactor;
        Instance newInst = new DenseInstance(1.0, vals);
        costBenefitI.add(newInst);
      }
      
      costBenefitI.compactify();

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   * @param inst  the JSON object to turn into an Instance
   * @param data  the data so far (only used for header information)
   * @return    the Instance, null in case of an error
   */
  protected static Instance toInstance(JSONNode inst, Instances data) {
    Instance  result;
    boolean  sparse;
    double  weight;
    JSONNode  values;
    int    i;
    int    index;
    int    pos;
    String  value;
    double[]  vals;


    sparse = (Boolean) inst.getChild(SPARSE).getValue(new Boolean(false));
    weight = (Double) inst.getChild(WEIGHT).getValue(new Double(1.0));
    values = inst.getChild(VALUES);
    vals   = new double[data.numAttributes()];
    for (i = 0; i < values.getChildCount(); i++) {
      if (sparse) {
  value = "" + ((JSONNode) values.getChildAt(i)).getValue();
  pos   = value.indexOf(SPARSE_SEPARATOR);
  index = Integer.parseInt(value.substring(0, pos));
  value = value.substring(pos + 1);
      }
      else {
  index = i;
  value = "" + ((JSONNode) values.getChildAt(i)).getValue();
      }
      
      try {
  if (data.attribute(index).isNumeric()) {
    vals[index] = Double.parseDouble(value);
  }
  else if (data.attribute(index).isNominal()) {
    vals[index] = data.attribute(index).indexOfValue(value);
    if ((vals[index] == -1) && value.startsWith("'") && value.endsWith("'"))
      vals[index] = data.attribute(index).indexOfValue(Utils.unquote(value));
    // FIXME backslashes seem to get escaped twice when creating a JSON file?
    if ((vals[index] == -1) && value.startsWith("'") && value.endsWith("'"))
      vals[index] = data.attribute(index).indexOfValue(Utils.unbackQuoteChars(Utils.unquote(value)));
    if (vals[index] == -1) {
      System.err.println("Unknown label '" + value + "' for attribute #" + (index+1) + "!");
      return null;
    }
  }
  else if (data.attribute(index).isDate()) {
    vals[index] = data.attribute(index).parseDate(value);
  }
  else if (data.attribute(index).isString()) {
    vals[index] = data.attribute(index).addStringValue(value);
  }
  else {
    System.err.println("Unhandled attribute type '" + Attribute.typeToString(data.attribute(index).type()) + "'!");
    return null;
  }
      }
      catch (Exception e) {
  System.err.println("Error parsing value #" + (index+1) + ": " + e.toString());
  return null;
      }
    }


    result = new DenseInstance(weight, vals);
    result.setDataset(data);
      
    return result;
  }

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    JSONNode  header;
    JSONNode  attributes;
    JSONNode  data;
    ArrayList<Attribute>  atts;
    Attribute  att;
    Instance  inst;
    int    i;
    int    classIndex;
    boolean[]  classAtt;
    
    header = json.getChild(HEADER);

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