/*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
*/
/*
* BoundaryVisualizer.java
* Copyright (C) 2002 University of Waikato, Hamilton, New Zealand
*
*/
package weka.gui.boundaryvisualizer;
import weka.classifiers.Classifier;
import weka.classifiers.AbstractClassifier;
import weka.core.Attribute;
import weka.core.FastVector;
import weka.core.Instances;
import weka.core.DenseInstance;
import weka.core.TechnicalInformation;
import weka.core.TechnicalInformationHandler;
import weka.core.Utils;
import weka.core.TechnicalInformation.Field;
import weka.core.TechnicalInformation.Type;
import weka.gui.ExtensionFileFilter;
import weka.gui.GenericObjectEditor;
import weka.gui.PropertyPanel;
import weka.gui.visualize.ClassPanel;
import java.awt.BorderLayout;
import java.awt.Color;
import java.awt.Dimension;
import java.awt.Font;
import java.awt.FontMetrics;
import java.awt.Graphics;
import java.awt.GridBagConstraints;
import java.awt.GridBagLayout;
import java.awt.GridLayout;
import java.awt.event.ActionEvent;
import java.awt.event.ActionListener;
import java.awt.event.ItemEvent;
import java.awt.event.ItemListener;
import java.awt.event.MouseAdapter;
import java.awt.event.MouseEvent;
import java.beans.PropertyChangeEvent;
import java.beans.PropertyChangeListener;
import java.io.File;
import java.io.FileOutputStream;
import java.io.ObjectOutputStream;
import java.util.Vector;
import javax.swing.BorderFactory;
import javax.swing.BoxLayout;
import javax.swing.ButtonGroup;
import javax.swing.DefaultComboBoxModel;
import javax.swing.JButton;
import javax.swing.JCheckBox;
import javax.swing.JComboBox;
import javax.swing.JFileChooser;
import javax.swing.JLabel;
import javax.swing.JOptionPane;
import javax.swing.JPanel;
import javax.swing.JRadioButton;
import javax.swing.JTextField;
/**
* BoundaryVisualizer. Allows the visualization of classifier decision
* boundaries in two dimensions. A supplied classifier is first
* trained on supplied training data, then a data generator (currently
* using kernels) is used to generate new instances at points fixed in
* the two visualization dimensions but random in the other
* dimensions. These instances are classified by the classifier and
* plotted as points with colour corresponding to the probability
* distribution predicted by the classifier. At present, 2 * 2^(#
* non-fixed dimensions) points are generated from each kernel per
* pixel in the display. In practice, fewer points than this are
* actually classified because kernels are weighted (on a per-pixel
* basis) according to the fixexd dimensions and kernels corresponding
* to the lowest 1% of the weight mass are discarded. Predicted
* probability distributions are weighted (acording to the fixed
* visualization dimensions) and averaged to produce an RGB value for
* the pixel. For more information, see<p>
*
* Eibe Frank and Mark Hall (2003). Visualizing Class Probability
* Estimators. Working Paper 02/03, Department of Computer Science,
* University of Waikato.
*
* @author <a href="mailto:mhall@cs.waikato.ac.nz">Mark Hall</a>
* @version $Revision: 6933 $
* @since 1.0
* @see JPanel
*/
public class BoundaryVisualizer
extends JPanel implements TechnicalInformationHandler {
/** for serialization */
private static final long serialVersionUID = 3933877580074013208L;
/**
* Inner class to handle rendering the axis
*
* @author <a href="mailto:mhall@cs.waikato.ac.nz">Mark Hall</a>
* @version $Revision: 6933 $
* @since 1.0
* @see JPanel
*/
private class AxisPanel
extends JPanel {
/** for serialization */
private static final long serialVersionUID = -7421022416674492712L;
private static final int MAX_PRECISION = 10;
private boolean m_vertical = false;
private final int PAD = 5;
private FontMetrics m_fontMetrics;
private int m_fontHeight;
public AxisPanel(boolean vertical) {
m_vertical = vertical;
this.setBackground(Color.black);
// Graphics g = this.getGraphics();
String fontFamily = this.getFont().getFamily();
Font newFont = new Font(fontFamily, Font.PLAIN, 10);
this.setFont(newFont);
}
public Dimension getPreferredSize() {
if (m_fontMetrics == null) {
Graphics g = this.getGraphics();
m_fontMetrics = g.getFontMetrics();
m_fontHeight = m_fontMetrics.getHeight();
}
if (!m_vertical) {
return new Dimension(this.getSize().width, PAD+2+m_fontHeight);
}
return new Dimension(50, this.getSize().height);
}
public void paintComponent(Graphics g) {
super.paintComponent(g);
this.setBackground(Color.black);
if (m_fontMetrics == null) {
m_fontMetrics = g.getFontMetrics();
m_fontHeight = m_fontMetrics.getHeight();
}
Dimension d = this.getSize();
Dimension d2 = m_boundaryPanel.getSize();
g.setColor(Color.gray);
int hf = m_fontMetrics.getAscent();
if (!m_vertical) {
g.drawLine(d.width, PAD, d.width-d2.width, PAD);
// try and draw some scale values
if (getInstances() != null) {
int precisionXmax = 1;
int precisionXmin = 1;
int whole = (int)Math.abs(m_maxX);
double decimal = Math.abs(m_maxX) - whole;
int nondecimal;
nondecimal = (whole > 0)
? (int)(Math.log(whole) / Math.log(10))
: 1;
precisionXmax = (decimal > 0)
? (int)Math.abs(((Math.log(Math.abs(m_maxX)) /
Math.log(10))))+2
: 1;
if (precisionXmax > MAX_PRECISION) {
precisionXmax = 1;
}
String maxStringX = Utils.doubleToString(m_maxX,
nondecimal+1+precisionXmax
,precisionXmax);
whole = (int)Math.abs(m_minX);
decimal = Math.abs(m_minX) - whole;
nondecimal = (whole > 0)
? (int)(Math.log(whole) / Math.log(10))
: 1;
precisionXmin = (decimal > 0)
? (int)Math.abs(((Math.log(Math.abs(m_minX)) /
Math.log(10))))+2
: 1;
if (precisionXmin > MAX_PRECISION) {
precisionXmin = 1;
}
String minStringX = Utils.doubleToString(m_minX,
nondecimal+1+precisionXmin,
precisionXmin);
g.drawString(minStringX, d.width-d2.width, PAD+hf+2);
int maxWidth = m_fontMetrics.stringWidth(maxStringX);
g.drawString(maxStringX, d.width-maxWidth, PAD+hf+2);
}
} else {
g.drawLine(d.width-PAD, 0, d.width-PAD, d2.height);
// try and draw some scale values
if (getInstances() != null) {
int precisionYmax = 1;
int precisionYmin = 1;
int whole = (int)Math.abs(m_maxY);
double decimal = Math.abs(m_maxY) - whole;
int nondecimal;
nondecimal = (whole > 0)
? (int)(Math.log(whole) / Math.log(10))
: 1;
precisionYmax = (decimal > 0)
? (int)Math.abs(((Math.log(Math.abs(m_maxY)) /
Math.log(10))))+2
: 1;
if (precisionYmax > MAX_PRECISION) {
precisionYmax = 1;
}
String maxStringY = Utils.doubleToString(m_maxY,
nondecimal+1+precisionYmax
,precisionYmax);
whole = (int)Math.abs(m_minY);
decimal = Math.abs(m_minY) - whole;
nondecimal = (whole > 0)
? (int)(Math.log(whole) / Math.log(10))
: 1;
precisionYmin = (decimal > 0)
? (int)Math.abs(((Math.log(Math.abs(m_minY)) /
Math.log(10))))+2
: 1;
if (precisionYmin > MAX_PRECISION) {
precisionYmin = 1;
}
String minStringY = Utils.doubleToString(m_minY,
nondecimal+1+precisionYmin,
precisionYmin);
int maxWidth = m_fontMetrics.stringWidth(minStringY);
g.drawString(minStringY, d.width-PAD-maxWidth-2, d2.height);
maxWidth = m_fontMetrics.stringWidth(maxStringY);
g.drawString(maxStringY, d.width-PAD-maxWidth-2, hf);
}
}
}
}
/** the number of visualizer windows we have open. */
protected static int m_WindowCount = 0;
/** whether the exit if there are no more windows open */
protected static boolean m_ExitIfNoWindowsOpen = true;
/** the training instances */
private Instances m_trainingInstances;
/** the classifier to use */
private Classifier m_classifier;
// plot area dimensions
protected int m_plotAreaWidth = 384;
//protected int m_plotAreaHeight = 384;
protected int m_plotAreaHeight = 384;
/** the plotting panel */
protected BoundaryPanel m_boundaryPanel;
// combo boxes for selecting the class attribute, class values (for
// colouring pixels), and visualization attributes
protected JComboBox m_classAttBox = new JComboBox();
protected JComboBox m_xAttBox = new JComboBox();
protected JComboBox m_yAttBox = new JComboBox();
protected Dimension COMBO_SIZE =
new Dimension((int)(m_plotAreaWidth * 0.75),
m_classAttBox.getPreferredSize().height);
protected JButton m_startBut = new JButton("Start");
protected JCheckBox m_plotTrainingData = new JCheckBox("Plot training data");
protected JPanel m_controlPanel;
protected ClassPanel m_classPanel = new ClassPanel();
// separate panels for rendering axis information
private AxisPanel m_xAxisPanel;
private AxisPanel m_yAxisPanel;
// min and max values for visualization dimensions
private double m_maxX;
private double m_maxY;
private double m_minX;
private double m_minY;
private int m_xIndex;
private int m_yIndex;
/* Kernel density estimator/generator */
private KDDataGenerator m_dataGenerator;
/* number of samples per pixel (fixed dimensions only) */
private int m_numberOfSamplesFromEachRegion;
/** base for sampling in the non-fixed dimensions */
private int m_generatorSamplesBase;
/** Set the kernel bandwidth to cover this many nearest neighbours */
private int m_kernelBandwidth;
private JTextField m_regionSamplesText =
new JTextField(""+0);
private JTextField m_generatorSamplesText =
new JTextField(""+0);
private JTextField m_kernelBandwidthText =
new JTextField(""+3+" ");
//jimmy
protected GenericObjectEditor m_classifierEditor = new GenericObjectEditor(); //the widget to select the classifier
protected PropertyPanel m_ClassifierPanel = new PropertyPanel(m_classifierEditor);
/** The file chooser for selecting arff files */
protected JFileChooser m_FileChooser
= new JFileChooser(new File(System.getProperty("user.dir")));
protected ExtensionFileFilter m_arffFileFilter =
new ExtensionFileFilter(Instances.FILE_EXTENSION,
"Arff data files");
protected JLabel dataFileLabel = new JLabel(); //stores the name of the data file (currently stores relation name rather than filename)
protected JPanel m_addRemovePointsPanel = new JPanel(); //a panel which contains the controls to add and remove points
protected JComboBox m_classValueSelector = new JComboBox(); //a widget to select the class attribute.
protected JRadioButton m_addPointsButton = new JRadioButton(); //when this is selected, clicking on the BoundaryPanel will add points.
protected JRadioButton m_removePointsButton = new JRadioButton(); //when this is selected, clicking on the BoundaryPanel will remove points.
protected ButtonGroup m_addRemovePointsButtonGroup = new ButtonGroup();
protected JButton removeAllButton = new JButton ("Remove all"); //button to remove all points
protected JButton chooseButton = new JButton("Open File"); //button to choose a data file
/* Register the property editors we need */
static {
GenericObjectEditor.registerEditors();
}
/**
* Returns a string describing this tool
* @return a description of the tool suitable for
* displaying in various Weka GUIs
*/
public String globalInfo() {
return "Class for visualizing class probability estimates.\n\n"
+ "For more information, see\n\n"
+ getTechnicalInformation().toString();
}
/**
* Returns an instance of a TechnicalInformation object, containing
* detailed information about the technical background of this class,
* e.g., paper reference or book this class is based on.
*
* @return the technical information about this class
*/
public TechnicalInformation getTechnicalInformation() {
TechnicalInformation result;
result = new TechnicalInformation(Type.INPROCEEDINGS);
result.setValue(Field.AUTHOR, "Eibe Frank and Mark Hall");
result.setValue(Field.TITLE, "Visualizing class probability estimators");
result.setValue(Field.BOOKTITLE, "European Conference on Principles and Practice of " +
"Knowledge Discovery in Databases");
result.setValue(Field.YEAR, "2003");
result.setValue(Field.PAGES, "168-169");
result.setValue(Field.PUBLISHER, "Springer-Verlag");
result.setValue(Field.ADDRESS, "Cavtat-Dubrovnik");
return result;
}
/**
* Creates a new <code>BoundaryVisualizer</code> instance.
*/
public BoundaryVisualizer() {
setLayout(new BorderLayout());
m_classAttBox.setMinimumSize(COMBO_SIZE);
m_classAttBox.setPreferredSize(COMBO_SIZE);
m_classAttBox.setMaximumSize(COMBO_SIZE);
m_classAttBox.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
if (m_classAttBox.getItemCount() != 0)
{
try {
m_classPanel.setCindex(m_classAttBox.getSelectedIndex());
plotTrainingData();
System.err.println("Here in class att box listener");
} catch (Exception ex) {ex.printStackTrace();}
//set up the add points selector combo box. -jimmy
setUpClassValueSelectorCB();
}
}
});
m_xAttBox.setMinimumSize(COMBO_SIZE);
m_xAttBox.setPreferredSize(COMBO_SIZE);
m_xAttBox.setMaximumSize(COMBO_SIZE);
m_yAttBox.setMinimumSize(COMBO_SIZE);
m_yAttBox.setPreferredSize(COMBO_SIZE);
m_yAttBox.setMaximumSize(COMBO_SIZE);
m_classPanel.setMinimumSize(new
Dimension((int)COMBO_SIZE.getWidth()*2,
(int)COMBO_SIZE.getHeight()*2));
m_classPanel.setPreferredSize(new
Dimension((int)COMBO_SIZE.getWidth()*2,
(int)COMBO_SIZE.getHeight()*2));
m_controlPanel = new JPanel();
m_controlPanel.setLayout(new BorderLayout());
//jimmy
JPanel dataChooseHolder = new JPanel(new BorderLayout());
dataChooseHolder.setBorder(BorderFactory.createTitledBorder("Dataset"));
dataChooseHolder.add(dataFileLabel, BorderLayout.WEST);
m_FileChooser.setFileSelectionMode(JFileChooser.FILES_ONLY);
m_FileChooser.addChoosableFileFilter(m_arffFileFilter);
chooseButton.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
try {
setInstancesFromFileQ();
int classIndex = m_classAttBox.getSelectedIndex();
if (m_trainingInstances != null && m_classifier != null && (m_trainingInstances.attribute(classIndex).isNominal())) {
m_startBut.setEnabled(true);
// plotTrainingData();
}
} catch (Exception ex) {
ex.printStackTrace(System.out);
System.err.println("exception");
}
}
});
dataChooseHolder.add(chooseButton, BorderLayout.EAST);
JPanel classifierHolder = new JPanel();
classifierHolder.setBorder(BorderFactory.createTitledBorder("Classifier"));
classifierHolder.setLayout(new BorderLayout());
m_classifierEditor.setClassType(weka.classifiers.Classifier.class);
m_classifierEditor.addPropertyChangeListener(new PropertyChangeListener() {
public void propertyChange(PropertyChangeEvent evt) {
m_classifier = (Classifier)m_classifierEditor.getValue();
try {
int classIndex = m_classAttBox.getSelectedIndex();
if (m_trainingInstances != null && m_classifier != null && (m_trainingInstances.attribute(classIndex).isNominal())) {
m_startBut.setEnabled(true);
}
} catch (Exception ex) {};
}
});
classifierHolder.add(m_ClassifierPanel, BorderLayout.CENTER);
JPanel cHolder = new JPanel();
cHolder.setBorder(BorderFactory.createTitledBorder("Class Attribute"));
cHolder.add(m_classAttBox);
JPanel vAttHolder = new JPanel();
vAttHolder.setLayout(new GridLayout(2,1));
vAttHolder.setBorder(BorderFactory.
createTitledBorder("Visualization Attributes"));
vAttHolder.add(m_xAttBox);
vAttHolder.add(m_yAttBox);
JPanel colOne = new JPanel();
colOne.setLayout(new BorderLayout());
colOne.add(dataChooseHolder, BorderLayout.NORTH); //jimmy
colOne.add(cHolder, BorderLayout.CENTER);
//colOne.add(vAttHolder, BorderLayout.SOUTH);
JPanel tempPanel = new JPanel();
tempPanel.setBorder(BorderFactory.
createTitledBorder("Sampling control"));
tempPanel.setLayout(new GridLayout(3,1));
JPanel colTwo = new JPanel();
colTwo.setLayout(new BorderLayout());
JPanel gsP = new JPanel(); gsP.setLayout(new BorderLayout());
gsP.add(new JLabel(" Base for sampling (r)"), BorderLayout.CENTER);
gsP.add(m_generatorSamplesText, BorderLayout.WEST);
tempPanel.add(gsP);
JPanel rsP = new JPanel(); rsP.setLayout(new BorderLayout());
rsP.add(new JLabel(" Num. locations per pixel"), BorderLayout.CENTER);
rsP.add(m_regionSamplesText, BorderLayout.WEST);
tempPanel.add(rsP);
JPanel ksP = new JPanel(); ksP.setLayout(new BorderLayout());
ksP.add(new JLabel(" Kernel bandwidth (k)"), BorderLayout.CENTER);
ksP.add(m_kernelBandwidthText, BorderLayout.WEST);
tempPanel.add(ksP);
colTwo.add(classifierHolder,BorderLayout.NORTH);//jimmy
//colTwo.add(tempPanel, BorderLayout.CENTER);
colTwo.add(vAttHolder, BorderLayout.CENTER);
JPanel startPanel = new JPanel();
startPanel.setBorder(BorderFactory.
createTitledBorder("Plotting"));
startPanel.setLayout(new BorderLayout());
startPanel.add(m_startBut, BorderLayout.CENTER);
startPanel.add(m_plotTrainingData, BorderLayout.WEST);
//colTwo.add(startPanel, BorderLayout.SOUTH);
m_controlPanel.add(colOne, BorderLayout.WEST);
m_controlPanel.add(colTwo, BorderLayout.CENTER);
JPanel classHolder = new JPanel();
classHolder.setLayout(new BorderLayout()); //jimmy
classHolder.setBorder(BorderFactory.createTitledBorder("Class color"));
classHolder.add(m_classPanel, BorderLayout.CENTER);
m_controlPanel.add(classHolder, BorderLayout.SOUTH);
JPanel aboutAndControlP = new JPanel();
aboutAndControlP.setLayout(new BorderLayout());
aboutAndControlP.add(m_controlPanel, BorderLayout.SOUTH);
weka.gui.PropertySheetPanel psp = new weka.gui.PropertySheetPanel();
psp.setTarget(BoundaryVisualizer.this);
JPanel aboutPanel = psp.getAboutPanel();
aboutAndControlP.add(aboutPanel, BorderLayout.NORTH);
add(aboutAndControlP, BorderLayout.NORTH);
//classHolder.add(newWindowButton, BorderLayout.EAST);
// set up the add-remove points widgets
m_addRemovePointsPanel.setBorder(BorderFactory.createTitledBorder("Add / remove data points"));
m_addRemovePointsPanel.setLayout(new GridBagLayout());
GridBagConstraints constraints = new GridBagConstraints();
constraints.weightx = 1.0;
constraints.weighty = 1.0;
constraints.gridx = 0;
constraints.gridy = 0;
constraints.fill = GridBagConstraints.BOTH;
m_addRemovePointsPanel.add(m_addPointsButton);
constraints.gridx = 1;
m_addRemovePointsPanel.add(new JLabel("Add points"), constraints);
constraints.gridx = 2;
m_addRemovePointsPanel.add(m_classValueSelector);
constraints.gridx = 0;
constraints.gridy = 1;
m_addRemovePointsPanel.add(m_removePointsButton, constraints);
constraints.gridx = 1;
m_addRemovePointsPanel.add(new JLabel("Remove points"),constraints);
removeAllButton.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
if (m_trainingInstances != null)
{
if (m_startBut.getText().equals("Stop")) //we are plotting
return;
m_boundaryPanel.removeAllInstances();
computeBounds();
m_xAxisPanel.repaint(0,0,0,m_xAxisPanel.getWidth(), m_xAxisPanel.getHeight());
m_yAxisPanel.repaint(0,0,0,m_yAxisPanel.getWidth(), m_yAxisPanel.getHeight());
try {m_boundaryPanel.plotTrainingData(); } catch (Exception ex) {}
}
}
});
constraints.gridx = 2;
m_addRemovePointsPanel.add(removeAllButton, constraints);
// m_addRemovePointsPanel.add(addPointsFrame, BorderLayout.NORTH);
// m_addRemovePointsPanel.add(removePointsFrame, BorderLayout.CENTER);
//m_addRemovePointsPanel.add(removeAllButton, BorderLayout.SOUTH);
m_addRemovePointsButtonGroup.add(m_addPointsButton);
m_addRemovePointsButtonGroup.add(m_removePointsButton);
m_addPointsButton.setSelected(true);
//classHolder.add(m_addRemovePointsPanel, BorderLayout.SOUTH);
m_boundaryPanel = new BoundaryPanel(m_plotAreaWidth, m_plotAreaHeight);
m_numberOfSamplesFromEachRegion = m_boundaryPanel.getNumSamplesPerRegion();
m_regionSamplesText.setText(""+m_numberOfSamplesFromEachRegion+" ");
m_generatorSamplesBase = (int)m_boundaryPanel.getGeneratorSamplesBase();
m_generatorSamplesText.setText(""+m_generatorSamplesBase+" ");
m_dataGenerator = new KDDataGenerator();
m_kernelBandwidth = m_dataGenerator.getKernelBandwidth();
m_kernelBandwidthText.setText(""+m_kernelBandwidth+" ");
m_boundaryPanel.setDataGenerator(m_dataGenerator);
JPanel gfxPanel = new JPanel();
gfxPanel.setLayout(new BorderLayout());
gfxPanel.setBorder(BorderFactory.createEtchedBorder());
//add(gfxPanel, BorderLayout.CENTER);
// gfxPanel.add(m_addRemovePointsPanel, BorderLayout.NORTH);
gfxPanel.add(m_boundaryPanel, BorderLayout.CENTER);
m_xAxisPanel = new AxisPanel(false);
gfxPanel.add(m_xAxisPanel, BorderLayout.SOUTH);
m_yAxisPanel = new AxisPanel(true);
gfxPanel.add(m_yAxisPanel, BorderLayout.WEST);
JPanel containerPanel = new JPanel();
containerPanel.setLayout(new BorderLayout());
containerPanel.add(gfxPanel, BorderLayout.CENTER);
add(containerPanel, BorderLayout.WEST);
JPanel rightHandToolsPanel = new JPanel(); //this panel contains the widgets to the right of the BoundaryPanel.
rightHandToolsPanel.setLayout(new BoxLayout(rightHandToolsPanel, BoxLayout.PAGE_AXIS));
rightHandToolsPanel.add(m_addRemovePointsPanel);
JButton newWindowButton = new JButton("Open a new window"); //the button for spawning a new window for the program.
//newWindowButton.setMaximumSize(new Dimension(100, 100));
//newWindowButton.setPreferredSize(new Dimension(120, m_addRemovePointsPanel.getHeight()));
newWindowButton.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
try {
Instances newTrainingData = null;
Classifier newClassifier = null;
if (m_trainingInstances != null)
newTrainingData = new Instances(m_trainingInstances);
if (m_classifier != null)
newClassifier = AbstractClassifier.makeCopy(m_classifier);
createNewVisualizerWindow(newClassifier, newTrainingData);
} catch (Exception ex) { ex.printStackTrace();}
}
});
JPanel newWindowHolder = new JPanel();
newWindowHolder.add(newWindowButton);
rightHandToolsPanel.add(newWindowHolder);
rightHandToolsPanel.add(tempPanel);
rightHandToolsPanel.add(startPanel);
containerPanel.add(rightHandToolsPanel, BorderLayout.EAST);
/*add(m_boundaryPanel, BorderLayout.CENTER);
m_xAxisPanel = new AxisPanel(false);
add(m_xAxisPanel, BorderLayout.SOUTH);
m_yAxisPanel = new AxisPanel(true);
add(m_yAxisPanel, BorderLayout.WEST);*/
m_startBut.setEnabled(false);
m_startBut.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
if (m_startBut.getText().equals("Start")) {
if (m_trainingInstances != null && m_classifier != null) {
try {
int BPSuccessCode = setUpBoundaryPanel(); //set up the boundary panel, find out if it was successful or not.
if (BPSuccessCode == 1)
JOptionPane.showMessageDialog(null,"Error: Kernel Bandwidth can't be less than zero!");
else if (BPSuccessCode == 2) {
JOptionPane.showMessageDialog(null,"Error: Kernel Bandwidth must be less than the number of training instances!");
} else {
m_boundaryPanel.start();
m_startBut.setText("Stop");
setControlEnabledStatus(false);
}
} catch (Exception ex) {
ex.printStackTrace();
}
}
} else {
m_boundaryPanel.stopPlotting();
m_startBut.setText("Start");
setControlEnabledStatus(true);
}
}
});
m_boundaryPanel.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
m_startBut.setText("Start");
setControlEnabledStatus(true);
}
});
m_classPanel.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
try {
// save color vector to a file
FastVector colors = m_boundaryPanel.getColors();
FileOutputStream fos = new FileOutputStream("colors.ser");
ObjectOutputStream oos = new ObjectOutputStream(fos);
oos.writeObject(colors);
oos.flush();
oos.close();
} catch (Exception ex) {}
m_boundaryPanel.replot();
}
});
//set up a mouse listener for the boundary panel.
m_boundaryPanel.addMouseListener(new MouseAdapter() {
public void mouseClicked(MouseEvent e) {
// System.err.println("boundary panel mouseClick " + e.getX() + " " + e.getY());
if (m_trainingInstances != null) {
if (m_startBut.getText().equals("Stop")) //we are plotting
return;
if (m_addPointsButton.isSelected()) {//we are in add mode
double classVal = 0;
boolean validInput = true;
if (m_trainingInstances.attribute(m_classAttBox.getSelectedIndex()).isNominal()) //class is nominal
classVal = (double)m_classValueSelector.getSelectedIndex();
else {
String indexStr = "";
try {
indexStr = (String)m_classValueSelector.getSelectedItem();
classVal = Double.parseDouble(indexStr);
} catch (Exception ex) {
if (indexStr == null) indexStr = "";
JOptionPane.showMessageDialog(null,"Error adding a point: \"" + indexStr + "\""
+ " is not a valid class value.");
validInput = false;
}
}
//System.err.println("classVal is " + classVal);
if (validInput)
m_boundaryPanel.addTrainingInstanceFromMouseLocation(e.getX(), e.getY(), m_classAttBox.getSelectedIndex(), classVal);
}
else { //remove mode
m_boundaryPanel.removeTrainingInstanceFromMouseLocation(e.getX(), e.getY());
}
try{ plotTrainingData(); } catch (Exception ex) {} //jimmy
m_xAxisPanel.repaint(0,0,0,m_xAxisPanel.getWidth(), m_xAxisPanel.getHeight());
m_yAxisPanel.repaint(0,0,0,m_yAxisPanel.getWidth(), m_yAxisPanel.getHeight());
}
}
});
}
/**
* Set the enabled status of the controls
*
* @param status a <code>boolean</code> value
*/
private void setControlEnabledStatus(boolean status) {
m_classAttBox.setEnabled(status);
m_xAttBox.setEnabled(status);
m_yAttBox.setEnabled(status);
m_regionSamplesText.setEnabled(status);
m_generatorSamplesText.setEnabled(status);
m_kernelBandwidthText.setEnabled(status);
m_plotTrainingData.setEnabled(status);
removeAllButton.setEnabled(status);
m_classValueSelector.setEnabled(status);
m_addPointsButton.setEnabled(status);
m_removePointsButton.setEnabled(status);
m_FileChooser.setEnabled(status);
chooseButton.setEnabled(status);
}
/**
* Set a classifier to use
*
* @param newClassifier the classifier to use
* @exception Exception if an error occurs
*/
public void setClassifier(Classifier newClassifier) throws Exception {
m_classifier = newClassifier;
try {
int classIndex = m_classAttBox.getSelectedIndex();
if ((m_classifier != null) && (m_trainingInstances != null) &&
(m_trainingInstances.attribute(classIndex).isNominal())) {
m_startBut.setEnabled(true);
}
else
m_startBut.setEnabled(false);
} catch (Exception e) {}
}
/** Sets up the bounds on our x and y axes to fit the dataset.
Also repaints the x and y axes.
*/
private void computeBounds() {
m_boundaryPanel.computeMinMaxAtts(); //delegate to the BoundaryPanel
String xName = (String)m_xAttBox.getSelectedItem();
if (xName == null) {
return;
}
xName = Utils.removeSubstring(xName, "X: ");
xName = Utils.removeSubstring(xName, " (Num)");
String yName = (String)m_yAttBox.getSelectedItem();
yName = Utils.removeSubstring(yName, "Y: ");
yName = Utils.removeSubstring(yName, " (Num)");
m_xIndex = -1;
m_yIndex = -1;
for (int i = 0; i < m_trainingInstances.numAttributes(); i++) {
if (m_trainingInstances.attribute(i).name().equals(xName)) {
m_xIndex = i;
}
if (m_trainingInstances.attribute(i).name().equals(yName)) {
m_yIndex = i;
}
}
m_minX = m_boundaryPanel.getMinXBound();
m_minY = m_boundaryPanel.getMinYBound();
m_maxX = m_boundaryPanel.getMaxXBound();
m_maxY = m_boundaryPanel.getMaxYBound();
//System.err.println("setting bounds to " + m_minX + " " + m_minY + " " + m_maxX + " " + m_maxY);
m_xAxisPanel.repaint(0,0,0,m_xAxisPanel.getWidth(), m_xAxisPanel.getHeight());
m_yAxisPanel.repaint(0,0,0,m_yAxisPanel.getWidth(), m_yAxisPanel.getHeight());
}
/**
* Get the training instances
*
* @return the training instances
*/
public Instances getInstances() {
return m_trainingInstances;
}
/**
* Set the training instances
*
* @param inst the instances to use
*/
public void setInstances(Instances inst) throws Exception {
if (inst == null) {
m_trainingInstances = inst;
m_classPanel.setInstances(m_trainingInstances);
return;
}
// count the number of numeric attributes
int numCount = 0;
for (int i = 0; i < inst.numAttributes(); i++) {
if (inst.attribute(i).isNumeric()) {
numCount++;
}
}
if (numCount < 2) {
JOptionPane.showMessageDialog(null,"We need at least two numeric " +
"attributes in order to visualize!");
return;
}
m_trainingInstances = inst;
m_classPanel.setInstances(m_trainingInstances);
// setup combo boxes
String [] classAttNames = new String [m_trainingInstances.numAttributes()];
final Vector xAttNames = new Vector();
Vector yAttNames = new Vector();
for (int i = 0; i < m_trainingInstances.numAttributes(); i++) {
classAttNames[i] = m_trainingInstances.attribute(i).name();
String type = " (" + Attribute.typeToStringShort(m_trainingInstances.attribute(i)) + ")";
classAttNames[i] += type;
if (m_trainingInstances.attribute(i).isNumeric()) {
xAttNames.addElement("X: "+classAttNames[i]);
yAttNames.addElement("Y: "+classAttNames[i]);
}
}
m_classAttBox.setModel(new DefaultComboBoxModel(classAttNames));
m_xAttBox.setModel(new DefaultComboBoxModel(xAttNames));
m_yAttBox.setModel(new DefaultComboBoxModel(yAttNames));
if (xAttNames.size() > 1) {
m_yAttBox.setSelectedIndex(1);
}
m_classAttBox.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
configureForClassAttribute();
}
});
m_xAttBox.addItemListener(new ItemListener() {
public void itemStateChanged(ItemEvent e) {
if (e.getStateChange() == ItemEvent.SELECTED) {
/* if (xAttNames.size() > 1) {
if (m_xAttBox.getSelectedIndex() ==
m_yAttBox.getSelectedIndex()) {
m_xAttBox.setSelectedIndex((m_xAttBox.getSelectedIndex() + 1) %
xAttNames.size());
}
} */
computeBounds();
repaint();
try{ plotTrainingData(); } catch (Exception ex) {ex.printStackTrace();} //jimmy
}
}
});
m_yAttBox.addItemListener(new ItemListener() {
public void itemStateChanged(ItemEvent e) {
if (e.getStateChange() == ItemEvent.SELECTED) {
/* if (xAttNames.size() > 1) {
if (m_yAttBox.getSelectedIndex() ==
m_xAttBox.getSelectedIndex()) {
m_yAttBox.setSelectedIndex((m_yAttBox.getSelectedIndex() + 1) %
xAttNames.size());
}
} */
computeBounds();
repaint();
try{ plotTrainingData(); } catch (Exception ex) {ex.printStackTrace();}
}
}
});
if (classAttNames.length > 0)
m_classAttBox.setSelectedIndex(classAttNames.length - 1); //select last attribute as class by default. -jimmy
//set up the add points selector combo box
setUpClassValueSelectorCB();
configureForClassAttribute();
m_classPanel.setCindex(m_classAttBox.getSelectedIndex());
plotTrainingData();
computeBounds();
revalidate();
repaint();
if (getTopLevelAncestor() instanceof java.awt.Window) {
((java.awt.Window)getTopLevelAncestor()).pack();
}
}
/** Set up the combo box that chooses which class values to use when adding data points.
*/
private void setUpClassValueSelectorCB() {
m_classValueSelector.removeAllItems();
int classAttribute = m_classAttBox.getSelectedIndex();
//System.err.println(m_trainingInstances.numClasses() + " classes");
m_trainingInstances.setClassIndex(classAttribute);
if (m_trainingInstances.attribute(classAttribute).isNominal()) {
m_classValueSelector.setEditable(false);
for (int i = 0; i < /*m_trainingInstances.numDistinctValues(classAttribute)*/m_trainingInstances.numClasses(); i++)
m_classValueSelector.insertItemAt(m_trainingInstances.attribute(classAttribute).value(i) , i);
m_classValueSelector.setSelectedIndex(0);
}
else {
m_classValueSelector.setEditable(true);
}
}
/**
* Set up the class values combo boxes
*/
private void configureForClassAttribute() {
int classIndex = m_classAttBox.getSelectedIndex();
if (classIndex >= 0) {
// see if this is a nominal attribute
if (!m_trainingInstances.attribute(classIndex).isNominal() || m_classifier == null) {
m_startBut.setEnabled(false);
} else {
m_startBut.setEnabled(true);
}
// set up class colours
FastVector colors = new FastVector();
if (!m_trainingInstances.attribute(m_classAttBox.getSelectedIndex()).isNominal()) //this if by jimmy
{
for (int i = 0; i < BoundaryPanel.DEFAULT_COLORS.length; i++)
colors.addElement(BoundaryPanel.DEFAULT_COLORS[i]);
}
else {
for (int i = 0; i <
m_trainingInstances.attribute(classIndex).numValues(); i++) {
colors.addElement(BoundaryPanel.
DEFAULT_COLORS[i % BoundaryPanel.DEFAULT_COLORS.length]);
// m_classPanel.setColours(colors);
// m_boundaryPanel.setColors(colors);
}
}
m_classPanel.setColours(colors); //jimmy
m_boundaryPanel.setColors(colors);
}
}
/**
* Queries the user for a file to load instances from, then loads the
* instances in a background process. This is done in the IO
* thread, and an error message is popped up if the IO thread is busy.
*/
public void setInstancesFromFileQ() {
// if (m_IOThread == null) {
int returnVal = m_FileChooser.showOpenDialog(this);
if (returnVal == JFileChooser.APPROVE_OPTION) {
File selected = m_FileChooser.getSelectedFile();
try
{
java.io.Reader r = new java.io.BufferedReader(
new java.io.FileReader(selected));
Instances i = new Instances(r);
setInstances(i);
//dataFileLabel.setText(selected.getName());
String relationName = i.relationName();
String truncatedN = relationName;
if (relationName.length() > 25) {
truncatedN = relationName.substring(0, 25) + "...";
}
dataFileLabel.setText(truncatedN);
dataFileLabel.setToolTipText(relationName);
} catch (Exception e)
{
JOptionPane.showMessageDialog(this,"Can't load at this time,\n"
+ "currently busy with other IO",
"Load Instances",
JOptionPane.WARNING_MESSAGE);
e.printStackTrace();
}
}
}
/** Sets up the BoundaryPanel object so that it is ready for plotting.
* @return an error code:<br/>
* 0 - SUCCESS<br/>
* 1 - ERROR - Kernel bandwidth < 0<br/>
* 2 - ERROR - Kernel bandwidth >= number of training instances.
*/
public int setUpBoundaryPanel() throws Exception {
int returner = 0; //OK code.
int tempSamples = m_numberOfSamplesFromEachRegion;
try {
tempSamples =
Integer.parseInt(m_regionSamplesText.getText().trim());
} catch (Exception ex) {
m_regionSamplesText.setText(""+tempSamples);
}
m_numberOfSamplesFromEachRegion = tempSamples;
m_boundaryPanel.
setNumSamplesPerRegion(tempSamples);
tempSamples = m_generatorSamplesBase;
try {
tempSamples =
Integer.parseInt(m_generatorSamplesText.getText().trim());
} catch (Exception ex) {
m_generatorSamplesText.setText(""+tempSamples);
}
m_generatorSamplesBase = tempSamples;
m_boundaryPanel.setGeneratorSamplesBase((double)tempSamples);
tempSamples = m_kernelBandwidth;
try {
tempSamples =
Integer.parseInt(m_kernelBandwidthText.getText().trim());
} catch (Exception ex) {
m_kernelBandwidthText.setText(""+tempSamples);
}
m_kernelBandwidth = tempSamples;
m_dataGenerator.setKernelBandwidth(tempSamples);
if (m_kernelBandwidth < 0) returner = 1;
if (m_kernelBandwidth >= m_trainingInstances.numInstances()) returner = 2;
m_trainingInstances.
setClassIndex(m_classAttBox.getSelectedIndex());
m_boundaryPanel.setClassifier(m_classifier);
m_boundaryPanel.setTrainingData(m_trainingInstances);
m_boundaryPanel.setXAttribute(m_xIndex);
m_boundaryPanel.setYAttribute(m_yIndex);
m_boundaryPanel.
setPlotTrainingData(m_plotTrainingData.isSelected());
return returner;
}
/** Plots the training data on-screen. Also does all of the setup required
* for this to work.
*/
public void plotTrainingData() throws Exception {
m_boundaryPanel.initialize();
setUpBoundaryPanel();
computeBounds();
m_boundaryPanel.plotTrainingData();
}
/** Stops the plotting thread.
*/
public void stopPlotting() {
m_boundaryPanel.stopPlotting();
}
/**
* Sets whether System.exit gets called when no more windows are open.
*
* @param value if TRUE then a System.exit call is ossued after the
* last window gets closed.
*/
public static void setExitIfNoWindowsOpen(boolean value) {
m_ExitIfNoWindowsOpen = value;
}
/**
* Gets whether System.exit gets called after the last window gets closed
*
* @return TRUE if System.exit gets called after last window
* got closed.
*/
public static boolean getExitIfNoWindowsOpen() {
return m_ExitIfNoWindowsOpen;
}
/** Creates a new GUI window with all of the BoundaryVisualizer trappings,
* @param classifier The classifier to use in the new window. May be null.
* @param instances The dataset to visualize on in the new window. May be null.
*/
public static void createNewVisualizerWindow(Classifier classifier, Instances instances) throws Exception {
m_WindowCount++;
final javax.swing.JFrame jf =
new javax.swing.JFrame("Weka classification boundary visualizer");
jf.getContentPane().setLayout(new BorderLayout());
final BoundaryVisualizer bv = new BoundaryVisualizer();
jf.getContentPane().add(bv, BorderLayout.CENTER);
jf.setSize(bv.getMinimumSize());
jf.addWindowListener(new java.awt.event.WindowAdapter() {
public void windowClosing(java.awt.event.WindowEvent e) {
m_WindowCount--;
bv.stopPlotting();
jf.dispose();
if ((m_WindowCount == 0) && m_ExitIfNoWindowsOpen) {
System.exit(0);
}
}
});
jf.pack();
jf.setVisible(true);
jf.setResizable(false);
if (classifier == null)
bv.setClassifier(null);
else {
bv.setClassifier(classifier);
bv.m_classifierEditor.setValue(classifier);
}
if (instances == null)
bv.setInstances(null);
else
{
bv.setInstances(instances);
try{
bv.dataFileLabel.setText(instances.relationName());
bv.plotTrainingData();
bv.m_classPanel.setCindex(bv.m_classAttBox.getSelectedIndex());
bv.repaint(0,0,0,bv.getWidth(), bv.getHeight());
} catch (Exception ex) {}
}
}
/**
* Main method for testing this class
*
* @param args a <code>String[]</code> value
*/
public static void main(String [] args) {
weka.core.logging.Logger.log(weka.core.logging.Logger.Level.INFO, "Logging started");
try {
if (args.length < 2) {
createNewVisualizerWindow(null, null);
}
else {
String [] argsR = null;
if (args.length > 2) {
argsR = new String [args.length-2];
for (int j = 2; j < args.length; j++) {
argsR[j-2] = args[j];
}
}
Classifier c = AbstractClassifier.forName(args[1], argsR);
System.err.println("Loading instances from : "+args[0]);
java.io.Reader r = new java.io.BufferedReader(
new java.io.FileReader(args[0]));
Instances i = new Instances(r);
createNewVisualizerWindow(c, i);
}
} catch (Exception ex) {
ex.printStackTrace();
}
}
}