Package weka.gui.visualize

Examples of weka.gui.visualize.VisualizePanel$PlotPanel


            JOptionPane.ERROR_MESSAGE);
      m_Log.statusMessage("Problem evaluating clusterer");
    } finally {
      if (plotInstances != null) {
        plotInstances.setUp();
        m_CurrentVis = new VisualizePanel();
        m_CurrentVis.setName(name+" ("+inst.relationName()+")");
        m_CurrentVis.setLog(m_Log);
        try {
    m_CurrentVis.addPlot(plotInstances.getPlotData(name));
        } catch (Exception ex) {
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    FastVector o = null;
    if (selectedName != null) {
      o = (FastVector)m_History.getNamedObject(selectedName);
    }

    VisualizePanel temp_vp = null;
    String temp_grph = null;
    Clusterer temp_clusterer = null;
    Instances temp_trainHeader = null;
    int[] temp_ignoreAtts = null;
   
    if (o != null) {
      for (int i = 0; i < o.size(); i++) {
  Object temp = o.elementAt(i);
  if (temp instanceof Clusterer) {
    temp_clusterer = (Clusterer)temp;
  } else if (temp instanceof Instances) { // training header
    temp_trainHeader = (Instances)temp;
  } else if (temp instanceof int[]) { // ignored attributes
    temp_ignoreAtts = (int[])temp;
  } else if (temp instanceof VisualizePanel) { // normal errors
    temp_vp = (VisualizePanel)temp;
  } else if (temp instanceof String) { // graphable output
    temp_grph = (String)temp;
  }
      }
    }
     
    final VisualizePanel vp = temp_vp;
    final String grph = temp_grph;
    final Clusterer clusterer = temp_clusterer;
    final Instances trainHeader = temp_trainHeader;
    final int[] ignoreAtts = temp_ignoreAtts;
   
    JMenuItem saveModel = new JMenuItem("Save model");
    if (clusterer != null) {
      saveModel.addActionListener(new ActionListener() {
    public void actionPerformed(ActionEvent e) {
      saveClusterer(selectedName, clusterer, trainHeader, ignoreAtts);
    }
  });
    } else {
      saveModel.setEnabled(false);
    }
    resultListMenu.add(saveModel);
   
    JMenuItem reEvaluate =
      new JMenuItem("Re-evaluate model on current test set");
    if (clusterer != null && m_TestInstances != null) {
      reEvaluate.addActionListener(new ActionListener() {
    public void actionPerformed(ActionEvent e) {
      reevaluateModel(selectedName, clusterer, trainHeader, ignoreAtts);
    }
  });
    } else {
      reEvaluate.setEnabled(false);
    }
    resultListMenu.add(reEvaluate);
   
    resultListMenu.addSeparator();
   
    JMenuItem visClusts = new JMenuItem("Visualize cluster assignments");
    if (vp != null) {
      visClusts.addActionListener(new ActionListener() {
      public void actionPerformed(ActionEvent e) {
        visualizeClusterAssignments(vp);
      }
    });
     
    } else {
      visClusts.setEnabled(false);
    }
    resultListMenu.add(visClusts);

    JMenuItem visTree = new JMenuItem("Visualize tree");
    if (grph != null) {
      visTree.addActionListener(new ActionListener() {
    public void actionPerformed(ActionEvent e) {
      String title;
      if (vp != null) title = vp.getName();
      else title = selectedName;
      visualizeTree(grph, title);
    }
  });
    } else {
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                                            JOptionPane.ERROR_MESSAGE);
              m_Log.statusMessage("Problem evaluating clusterer");

            } finally {
              if (plotInstances != null) {
                m_CurrentVis = new VisualizePanel();
                m_CurrentVis.setName(name+" ("+userTest.relationName()+")");
                m_CurrentVis.setLog(m_Log);
                try {
                  m_CurrentVis.addPlot(plotInstances.getPlotData(name));
                } catch (Exception ex) {
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    }
  }

  protected void setUpFinal() {
    if (m_visPanel == null) {
      m_visPanel = new VisualizePanel();
    }
    add(m_visPanel, BorderLayout.CENTER);
  }
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    if (request.compareTo("Show plot") == 0) {
      try {
  // popup visualize panel
  if (!m_framePoppedUp) {
    m_framePoppedUp = true;
    final VisualizePanel vis = new VisualizePanel();
    PlotData2D pd1 = new PlotData2D(m_visualizeDataSet);
   
    String relationName = m_visualizeDataSet.relationName();
   
    // A bit of a nasty hack. Allows producers of instances-based
    // events to specify that the points should be connected
    if (relationName.startsWith("__")) {
      boolean[] connect = new boolean[m_visualizeDataSet.numInstances()];
      for (int i = 1; i < connect.length; i++) { connect[i] = true; }
      pd1.setConnectPoints(connect);
      relationName = relationName.substring(2);
    }
    pd1.setPlotName(relationName);
    try {
      vis.setMasterPlot(pd1);
    } catch (Exception ex) {
      System.err.println("Problem setting up "
             +"visualization (DataVisualizer)");
      ex.printStackTrace();
    }
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                  if (grph != null) {
        vv.addElement(grph);
      }
      m_History.addObject(name, vv);
              } else if (saveVis && plotInstances != null && plotInstances.getPlotInstances().numInstances() > 0) {
    m_CurrentVis = new VisualizePanel();
    m_CurrentVis.setName(name+" ("+inst.relationName()+")");
    m_CurrentVis.setLog(m_Log);
    m_CurrentVis.addPlot(plotInstances.getPlotData(cname));
    //m_CurrentVis.setColourIndex(plotInstances.getPlotInstances().classIndex()+1);
          m_CurrentVis.setColourIndex(plotInstances.getPlotInstances().classIndex());
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    FastVector o = null;
    if (selectedName != null) {
      o = (FastVector)m_History.getNamedObject(selectedName);
    }

    VisualizePanel temp_vp = null;
    String temp_grph = null;
    FastVector temp_preds = null;
    Attribute temp_classAtt = null;
    Classifier temp_classifier = null;
    Instances temp_trainHeader = null;
     
    if (o != null) {
      for (int i = 0; i < o.size(); i++) {
  Object temp = o.elementAt(i);
  if (temp instanceof Classifier) {
    temp_classifier = (Classifier)temp;
  } else if (temp instanceof Instances) { // training header
    temp_trainHeader = (Instances)temp;
  } else if (temp instanceof VisualizePanel) { // normal errors
    temp_vp = (VisualizePanel)temp;
  } else if (temp instanceof String) { // graphable output
    temp_grph = (String)temp;
  } else if (temp instanceof FastVector) { // predictions
    temp_preds = (FastVector)temp;
  } else if (temp instanceof Attribute) { // class attribute
    temp_classAtt = (Attribute)temp;
  }
      }
    }

    final VisualizePanel vp = temp_vp;
    final String grph = temp_grph;
    final FastVector preds = temp_preds;
    final Attribute classAtt = temp_classAtt;
    final Classifier classifier = temp_classifier;
    final Instances trainHeader = temp_trainHeader;
   
    JMenuItem saveModel = new JMenuItem("Save model");
    if (classifier != null) {
      saveModel.addActionListener(new ActionListener() {
    public void actionPerformed(ActionEvent e) {
      saveClassifier(selectedName, classifier, trainHeader);
    }
  });
    } else {
      saveModel.setEnabled(false);
    }
    resultListMenu.add(saveModel);

    JMenuItem reEvaluate =
      new JMenuItem("Re-evaluate model on current test set");
    if (classifier != null && m_TestLoader != null) {
      reEvaluate.addActionListener(new ActionListener() {
    public void actionPerformed(ActionEvent e) {
      reevaluateModel(selectedName, classifier, trainHeader);
    }
  });
    } else {
      reEvaluate.setEnabled(false);
    }
    resultListMenu.add(reEvaluate);
   
    resultListMenu.addSeparator();
   
    JMenuItem visErrors = new JMenuItem("Visualize classifier errors");
    if (vp != null) {
      if ((vp.getXIndex() == 0) && (vp.getYIndex() == 1)) {
  try {
    vp.setXIndex(vp.getInstances().classIndex())// class
    vp.setYIndex(vp.getInstances().classIndex() - 1)// predicted class
  }
  catch (Exception e) {
    // ignored
  }
      }
      visErrors.addActionListener(new ActionListener() {
    public void actionPerformed(ActionEvent e) {
      visualizeClassifierErrors(vp);
    }
  });
    } else {
      visErrors.setEnabled(false);
    }
    resultListMenu.add(visErrors);

    JMenuItem visGrph = new JMenuItem("Visualize tree");
    if (grph != null) {
  if(((Drawable)temp_classifier).graphType()==Drawable.TREE) {
      visGrph.addActionListener(new ActionListener() {
        public void actionPerformed(ActionEvent e) {
      String title;
      if (vp != null) title = vp.getName();
      else title = selectedName;
      visualizeTree(grph, title);
        }
    });
  }
  else if(((Drawable)temp_classifier).graphType()==Drawable.BayesNet) {
      visGrph.setText("Visualize graph");
      visGrph.addActionListener(new ActionListener() {
        public void actionPerformed(ActionEvent e) {
      Thread th = new Thread() {
        public void run() {
        visualizeBayesNet(grph, selectedName);
        }
          };
      th.start();
        }
    });
  }
  else
      visGrph.setEnabled(false);
    } else {
      visGrph.setEnabled(false);
    }
    resultListMenu.add(visGrph);

    JMenuItem visMargin = new JMenuItem("Visualize margin curve");
    if ((preds != null) && (classAtt != null) && (classAtt.isNominal())) {
      visMargin.addActionListener(new ActionListener() {
    public void actionPerformed(ActionEvent e) {
      try {
        MarginCurve tc = new MarginCurve();
        Instances result = tc.getCurve(preds);
        VisualizePanel vmc = new VisualizePanel();
        vmc.setName(result.relationName());
        vmc.setLog(m_Log);
        PlotData2D tempd = new PlotData2D(result);
        tempd.setPlotName(result.relationName());
        tempd.addInstanceNumberAttribute();
        vmc.addPlot(tempd);
        visualizeClassifierErrors(vmc);
      } catch (Exception ex) {
        ex.printStackTrace();
      }
    }
  });
    } else {
      visMargin.setEnabled(false);
    }
    resultListMenu.add(visMargin);

    JMenu visThreshold = new JMenu("Visualize threshold curve");
    if ((preds != null) && (classAtt != null) && (classAtt.isNominal())) {
      for (int i = 0; i < classAtt.numValues(); i++) {
  JMenuItem clv = new JMenuItem(classAtt.value(i));
  final int classValue = i;
  clv.addActionListener(new ActionListener() {
      public void actionPerformed(ActionEvent e) {
        try {
    ThresholdCurve tc = new ThresholdCurve();
    Instances result = tc.getCurve(preds, classValue);
    //VisualizePanel vmc = new VisualizePanel();
    ThresholdVisualizePanel vmc = new ThresholdVisualizePanel();
    vmc.setROCString("(Area under ROC = " +
         Utils.doubleToString(ThresholdCurve.getROCArea(result), 4) + ")");
    vmc.setLog(m_Log);
    vmc.setName(result.relationName()+". (Class value "+
          classAtt.value(classValue)+")");
    PlotData2D tempd = new PlotData2D(result);
    tempd.setPlotName(result.relationName());
    tempd.addInstanceNumberAttribute();
    // specify which points are connected
    boolean[] cp = new boolean[result.numInstances()];
    for (int n = 1; n < cp.length; n++)
      cp[n] = true;
    tempd.setConnectPoints(cp);
    // add plot
    vmc.addPlot(tempd);
    visualizeClassifierErrors(vmc);
        } catch (Exception ex) {
    ex.printStackTrace();
        }
        }
    });
    visThreshold.add(clv);
      }
    } else {
      visThreshold.setEnabled(false);
    }
    resultListMenu.add(visThreshold);
   
    JMenu visCostBenefit = new JMenu("Cost/Benefit analysis");
    if ((preds != null) && (classAtt != null) && (classAtt.isNominal())) {
      for (int i = 0; i < classAtt.numValues(); i++) {
        JMenuItem clv = new JMenuItem(classAtt.value(i));
        final int classValue = i;
        clv.addActionListener(new ActionListener() {
            public void actionPerformed(ActionEvent e) {
              try {
                ThresholdCurve tc = new ThresholdCurve();
                Instances result = tc.getCurve(preds, classValue);

                // Create a dummy class attribute with the chosen
                // class value as index 0 (if necessary).
                Attribute classAttToUse = classAtt;
                if (classValue != 0) {
                  FastVector newNames = new FastVector();
                  newNames.addElement(classAtt.value(classValue));
                  for (int k = 0; k < classAtt.numValues(); k++) {
                    if (k != classValue) {
                      newNames.addElement(classAtt.value(k));
                    }
                  }
                  classAttToUse = new Attribute(classAtt.name(), newNames);
                }
               
                CostBenefitAnalysis cbAnalysis = new CostBenefitAnalysis();
               
                PlotData2D tempd = new PlotData2D(result);
                tempd.setPlotName(result.relationName());
                tempd.m_alwaysDisplayPointsOfThisSize = 10;
                // specify which points are connected
                boolean[] cp = new boolean[result.numInstances()];
                for (int n = 1; n < cp.length; n++)
                  cp[n] = true;
                tempd.setConnectPoints(cp);
               
                String windowTitle = "";
                if (classifier != null) {
                  String cname = classifier.getClass().getName();
                  if (cname.startsWith("weka.classifiers.")) {
                    windowTitle = "" + cname.substring("weka.classifiers.".length()) + " ";
                  }
                }
                windowTitle += " (class = " + classAttToUse.value(0) + ")";               
               
                // add plot
                cbAnalysis.setCurveData(tempd, classAttToUse);
                visualizeCostBenefitAnalysis(cbAnalysis, windowTitle);
              } catch (Exception ex) {
                ex.printStackTrace();
              }
              }
          });
          visCostBenefit.add(clv);
      }
    } else {
      visCostBenefit.setEnabled(false);
    }
    resultListMenu.add(visCostBenefit);

    JMenu visCost = new JMenu("Visualize cost curve");
    if ((preds != null) && (classAtt != null) && (classAtt.isNominal())) {
      for (int i = 0; i < classAtt.numValues(); i++) {
  JMenuItem clv = new JMenuItem(classAtt.value(i));
  final int classValue = i;
  clv.addActionListener(new ActionListener() {
      public void actionPerformed(ActionEvent e) {
        try {
    CostCurve cc = new CostCurve();
    Instances result = cc.getCurve(preds, classValue);
    VisualizePanel vmc = new VisualizePanel();
    vmc.setLog(m_Log);
    vmc.setName(result.relationName()+". (Class value "+
          classAtt.value(classValue)+")");
    PlotData2D tempd = new PlotData2D(result);
    tempd.m_displayAllPoints = true;
    tempd.setPlotName(result.relationName());
    boolean [] connectPoints =
      new boolean [result.numInstances()];
    for (int jj = 1; jj < connectPoints.length; jj+=2) {
      connectPoints[jj] = true;
    }
    tempd.setConnectPoints(connectPoints);
    //      tempd.addInstanceNumberAttribute();
    vmc.addPlot(tempd);
    visualizeClassifierErrors(vmc);
        } catch (Exception ex) {
    ex.printStackTrace();
        }
      }
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            // for the next scoring run).
            ((PMMLClassifier)classifierToUse).done();
          }
         
                if (plotInstances != null && plotInstances.getPlotInstances().numInstances() > 0) {
                  m_CurrentVis = new VisualizePanel();
                  m_CurrentVis.setName(name + " (" + userTestStructure.relationName() + ")");
                  m_CurrentVis.setLog(m_Log);
                  m_CurrentVis.addPlot(plotInstances.getPlotData(name));
                  //m_CurrentVis.setColourIndex(plotInstances.getPlotInstances().classIndex()+1);
                  m_CurrentVis.setColourIndex(plotInstances.getPlotInstances().classIndex());
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    setUpFinal();
  }

  protected void setUpFinal() {
    if (m_visPanel == null) {
      m_visPanel = new VisualizePanel();
    }
    add(m_visPanel, BorderLayout.CENTER);
  }
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   *
   * @param e a ThresholdDataEvent
   */
  public synchronized void acceptDataSet(ThresholdDataEvent e) {
    if (m_visPanel == null) {
      m_visPanel = new VisualizePanel();
    }
    if (m_masterPlot == null) {
      m_masterPlot = e.getDataSet();
    }
    try {
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Related Classes of weka.gui.visualize.VisualizePanel$PlotPanel

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