📄 clustererpanel.java
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gbC.fill = GridBagConstraints.HORIZONTAL;
gbC.gridy = 2; gbC.gridx = 2; gbC.weightx = 100;
gbC.ipadx = 20;
gbL.setConstraints(m_PercentText, gbC);
p2.add(m_PercentText);
gbC = new GridBagConstraints();
gbC.anchor = GridBagConstraints.WEST;
gbC.gridy = 3; gbC.gridx = 0; gbC.gridwidth = 2;
gbL.setConstraints(m_ClassesToClustersBut, gbC);
p2.add(m_ClassesToClustersBut);
m_ClassCombo.setBorder(BorderFactory.createEmptyBorder(0, 20, 0, 0));
gbC = new GridBagConstraints();
gbC.anchor = GridBagConstraints.WEST;
gbC.gridy = 4; gbC.gridx = 0; gbC.gridwidth = 2;
gbL.setConstraints(m_ClassCombo, gbC);
p2.add(m_ClassCombo);
gbC = new GridBagConstraints();
gbC.anchor = GridBagConstraints.WEST;
gbC.gridy = 5; gbC.gridx = 0; gbC.gridwidth = 2;
gbL.setConstraints(m_StorePredictionsBut, gbC);
p2.add(m_StorePredictionsBut);
JPanel buttons = new JPanel();
buttons.setLayout(new GridLayout(2, 1));
JPanel ssButs = new JPanel();
ssButs.setBorder(BorderFactory.createEmptyBorder(5, 5, 5, 5));
ssButs.setLayout(new GridLayout(1, 2, 5, 5));
ssButs.add(m_StartBut);
ssButs.add(m_StopBut);
JPanel ib = new JPanel();
ib.setBorder(BorderFactory.createEmptyBorder(5, 5, 5, 5));
ib.setLayout(new GridLayout(1, 1, 5, 5));
ib.add(m_ignoreBut);
buttons.add(ib);
buttons.add(ssButs);
JPanel p3 = new JPanel();
p3.setBorder(BorderFactory.createTitledBorder("Clusterer output"));
p3.setLayout(new BorderLayout());
final JScrollPane js = new JScrollPane(m_OutText);
p3.add(js, BorderLayout.CENTER);
js.getViewport().addChangeListener(new ChangeListener() {
private int lastHeight;
public void stateChanged(ChangeEvent e) {
JViewport vp = (JViewport)e.getSource();
int h = vp.getViewSize().height;
if (h != lastHeight) { // i.e. an addition not just a user scrolling
lastHeight = h;
int x = h - vp.getExtentSize().height;
vp.setViewPosition(new Point(0, x));
}
}
});
JPanel mondo = new JPanel();
gbL = new GridBagLayout();
mondo.setLayout(gbL);
gbC = new GridBagConstraints();
// gbC.anchor = GridBagConstraints.WEST;
gbC.fill = GridBagConstraints.HORIZONTAL;
gbC.gridy = 0; gbC.gridx = 0;
gbL.setConstraints(p2, gbC);
mondo.add(p2);
gbC = new GridBagConstraints();
gbC.anchor = GridBagConstraints.NORTH;
gbC.fill = GridBagConstraints.HORIZONTAL;
gbC.gridy = 1; gbC.gridx = 0;
gbL.setConstraints(buttons, gbC);
mondo.add(buttons);
gbC = new GridBagConstraints();
//gbC.anchor = GridBagConstraints.NORTH;
gbC.fill = GridBagConstraints.BOTH;
gbC.gridy = 2; gbC.gridx = 0; gbC.weightx = 0;
gbL.setConstraints(m_History, gbC);
mondo.add(m_History);
gbC = new GridBagConstraints();
gbC.fill = GridBagConstraints.BOTH;
gbC.gridy = 0; gbC.gridx = 1;
gbC.gridheight = 3;
gbC.weightx = 100; gbC.weighty = 100;
gbL.setConstraints(p3, gbC);
mondo.add(p3);
setLayout(new BorderLayout());
add(p1, BorderLayout.NORTH);
add(mondo, BorderLayout.CENTER);
}
/**
* Updates the enabled status of the input fields and labels.
*/
protected void updateRadioLinks() {
m_SetTestBut.setEnabled(m_TestSplitBut.isSelected());
if ((m_SetTestFrame != null) && (!m_TestSplitBut.isSelected())) {
m_SetTestFrame.setVisible(false);
}
m_PercentText.setEnabled(m_PercentBut.isSelected());
m_PercentLab.setEnabled(m_PercentBut.isSelected());
m_ClassCombo.setEnabled(m_ClassesToClustersBut.isSelected());
}
/**
* Sets the Logger to receive informational messages
*
* @param newLog the Logger that will now get info messages
*/
public void setLog(Logger newLog) {
m_Log = newLog;
}
/**
* Tells the panel to use a new set of instances.
*
* @param inst a set of Instances
*/
public void setInstances(Instances inst) {
m_Instances = inst;
m_ignoreKeyModel.removeAllElements();
String [] attribNames = new String [m_Instances.numAttributes()];
for (int i = 0; i < m_Instances.numAttributes(); i++) {
String name = m_Instances.attribute(i).name();
m_ignoreKeyModel.addElement(name);
String type = "";
switch (m_Instances.attribute(i).type()) {
case Attribute.NOMINAL:
type = "(Nom) ";
break;
case Attribute.NUMERIC:
type = "(Num) ";
break;
case Attribute.STRING:
type = "(Str) ";
break;
case Attribute.DATE:
type = "(Dat) ";
break;
default:
type = "(???) ";
}
String attnm = m_Instances.attribute(i).name();
attribNames[i] = type + attnm;
}
m_StartBut.setEnabled(m_RunThread == null);
m_StopBut.setEnabled(m_RunThread != null);
m_ignoreBut.setEnabled(true);
m_ClassCombo.setModel(new DefaultComboBoxModel(attribNames));
m_ClassCombo.setSelectedIndex(attribNames.length - 1);
updateRadioLinks();
}
/**
* Sets the user test set. Information about the current test set
* is displayed in an InstanceSummaryPanel and the user is given the
* ability to load another set from a file or url.
*
*/
protected void setTestSet() {
if (m_SetTestFrame == null) {
final SetInstancesPanel sp = new SetInstancesPanel();
m_Summary = sp.getSummary();
if (m_TestInstances != null) {
sp.setInstances(m_TestInstances);
}
sp.addPropertyChangeListener(new PropertyChangeListener() {
public void propertyChange(PropertyChangeEvent e) {
m_TestInstances = sp.getInstances();
}
});
// Add propertychangelistener to update m_TestInstances whenever
// it changes in the settestframe
m_SetTestFrame = new JFrame("Test Instances");
m_SetTestFrame.getContentPane().setLayout(new BorderLayout());
m_SetTestFrame.getContentPane().add(sp, BorderLayout.CENTER);
m_SetTestFrame.pack();
}
m_SetTestFrame.setVisible(true);
}
/**
* Sets up the structure for the visualizable instances. This dataset
* contains the original attributes plus the clusterer's cluster assignments
* @param testInstancs the instances that the clusterer has clustered
* @return a PlotData2D object encapsulating the visualizable instances. The
* instances contain one more attribute (predicted
* cluster) than the testInstances
*/
public static PlotData2D setUpVisualizableInstances(Instances testInstances,
ClusterEvaluation eval)
throws Exception {
int numClusters = eval.getNumClusters();
double [] clusterAssignments = eval.getClusterAssignments();
FastVector hv = new FastVector();
Instances newInsts;
Attribute predictedCluster;
FastVector clustVals = new FastVector();
for (int i = 0; i < numClusters; i++) {
clustVals.addElement("cluster"+i);
}
predictedCluster = new Attribute("Cluster", clustVals);
for (int i = 0; i < testInstances.numAttributes(); i++) {
hv.addElement(testInstances.attribute(i).copy());
}
hv.addElement(predictedCluster);
newInsts = new Instances(testInstances.relationName()+"_clustered", hv,
testInstances.numInstances());
double [] values;
int j;
int [] pointShapes = null;
int [] classAssignments = null;
if (testInstances.classIndex() >= 0) {
classAssignments = eval.getClassesToClusters();
pointShapes = new int[testInstances.numInstances()];
for (int i = 0; i < testInstances.numInstances(); i++) {
pointShapes[i] = Plot2D.CONST_AUTOMATIC_SHAPE;
}
}
for (int i = 0; i < testInstances.numInstances(); i++) {
values = new double[newInsts.numAttributes()];
for (j = 0; j < testInstances.numAttributes(); j++) {
values[j] = testInstances.instance(i).value(j);
}
values[j] = clusterAssignments[i];
newInsts.add(new Instance(1.0, values));
if (pointShapes != null) {
if ((int)testInstances.instance(i).classValue() !=
classAssignments[(int)clusterAssignments[i]]) {
pointShapes[i] = Plot2D.ERROR_SHAPE;
}
}
}
PlotData2D plotData = new PlotData2D(newInsts);
if (pointShapes != null) {
plotData.setShapeType(pointShapes);
}
plotData.addInstanceNumberAttribute();
return plotData;
}
/**
* Starts running the currently configured clusterer with the current
* settings. This is run in a separate thread, and will only start if
* there is no clusterer already running. The clusterer output is sent
* to the results history panel.
*/
protected void startClusterer() {
if (m_RunThread == null) {
m_StartBut.setEnabled(false);
m_StopBut.setEnabled(true);
m_ignoreBut.setEnabled(false);
m_RunThread = new Thread() {
public void run() {
// Copy the current state of things
m_Log.statusMessage("Setting up...");
Instances inst = new Instances(m_Instances);
inst.setClassIndex(-1);
Instances userTest = null;
PlotData2D predData = null;
if (m_TestInstances != null) {
userTest = new Instances(m_TestInstances);
}
boolean saveVis = m_StorePredictionsBut.isSelected();
String grph = null;
int[] ignoredAtts = null;
int testMode = 0;
int percent = 66;
Clusterer clusterer = (Clusterer) m_ClustererEditor.getValue();
Clusterer fullClusterer = null;
StringBuffer outBuff = new StringBuffer();
String name = (new SimpleDateFormat("HH:mm:ss - "))
.format(new Date());
String cname = clusterer.getClass().getName();
if (cname.startsWith("weka.clusterers.")) {
name += cname.substring("weka.clusterers.".length());
} else {
name += cname;
}
try {
m_Log.logMessage("Started " + cname);
if (m_Log instanceof TaskLogger) {
((TaskLogger)m_Log).taskStarted();
}
if (m_PercentBut.isSelected()) {
testMode = 2;
percent = Integer.parseInt(m_PercentText.getText());
if ((percent <= 0) || (percent >= 100)) {
throw new Exception("Percentage must be between 0 and 100");
}
} else if (m_TrainBut.isSelected()) {
testMode = 3;
} else if (m_TestSplitBut.isSelected()) {
testMode = 4;
// Check the test instance compatibility
if (userTest == null) {
throw new Exception("No user test set has been opened");
}
if (!inst.equalHeaders(userTest)) {
throw new Exception("Train and test set are not compatible");
}
} else if (m_ClassesToClustersBut.isSelected()) {
testMode = 5;
} else {
throw new Exception("Unknown test mode");
}
Instances trainInst = new Instances(inst);
if (m_ClassesToClustersBut.isSelected()) {
trainInst.setClassIndex(m_ClassCombo.getSelectedIndex());
inst.setClassIndex(m_ClassCombo.getSelectedIndex());
if (inst.classAttribute().isNumeric()) {
throw new Exception("Class must be nominal for class based "
+"evaluation!");
}
}
if (!m_ignoreKeyList.isSelectionEmpty()) {
trainInst = removeIgnoreCols(trainInst);
}
// Output some header information
outBuff.append("=== Run information ===\n\n");
outBuff.append("Scheme: " + cname);
if (clusterer instanceof OptionHandler) {
String [] o = ((OptionHandler) clusterer).getOptions();
outBuff.append(" " + Utils.joinOptions(o));
}
outBuff.append("\n");
outBuff.append("Relation: " + inst.relationName() + '\n');
outBuff.append("Instances: " + inst.numInstances() + '\n');
outBuff.append("Attributes: " + inst.numAttributes() + '\n');
if (inst.numAttributes() < 100) {
boolean [] selected = new boolean [inst.numAttributes()];
for (int i = 0; i < inst.numAttributes(); i++) {
selected[i] = true;
}
if (!m_ignoreKeyList.isSelectionEmpty()) {
int [] indices = m_ignoreKeyList.getSelectedIndices();
for (int i = 0; i < indices.length; i++) {
selected[indices[i]] = false;
}
}
if (m_ClassesToClustersBut.isSelected()) {
selected[m_ClassCombo.getSelectedIndex()] = false;
}
for (int i = 0; i < inst.numAttributes(); i++) {
if (selected[i]) {
outBuff.append(" " + inst.attribute(i).name()
+ '\n');
}
}
if (!m_ignoreKeyList.isSelectionEmpty()
|| m_ClassesToClustersBut.isSelected()) {
outBuff.append("Ignored:\n");
for (int i = 0; i < inst.numAttributes(); i++) {
if (!selected[i]) {
outBuff.append(" " + inst.attribute(i).name()
+ '\n');
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