/*
* 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.
*/
/*
* TrainTestSplitMaker.java
* Copyright (C) 2002 University of Waikato, Hamilton, New Zealand
*
*/
package weka.gui.beans;
import weka.core.Instances;
import java.io.Serializable;
import java.util.Enumeration;
import java.util.Random;
import java.util.Vector;
/**
* Bean that accepts data sets, training sets, test sets and produces
* both a training and test set by randomly spliting the data
*
* @author <a href="mailto:mhall@cs.waikato.ac.nz">Mark Hall</a>
* @version $Revision: 7329 $
*/
public class TrainTestSplitMaker
extends AbstractTrainAndTestSetProducer
implements DataSourceListener, TrainingSetListener, TestSetListener,
UserRequestAcceptor, EventConstraints, Serializable,
StructureProducer {
/** for serialization */
private static final long serialVersionUID = 7390064039444605943L;
private double m_trainPercentage = 66;
private int m_randomSeed = 1;
private Thread m_splitThread = null;
private boolean m_dataProvider = false;
private boolean m_trainingProvider = false;
private boolean m_testProvider = false;
public TrainTestSplitMaker() {
m_visual.loadIcons(BeanVisual.ICON_PATH
+"TrainTestSplitMaker.gif",
BeanVisual.ICON_PATH
+"TrainTestSplittMaker_animated.gif");
m_visual.setText("TrainTestSplitMaker");
}
private Instances getUpstreamStructure() {
if (m_listenee != null && m_listenee instanceof StructureProducer) {
if (m_dataProvider) {
return ((StructureProducer)m_listenee).getStructure("dataSet");
}
if (m_trainingProvider) {
return ((StructureProducer)m_listenee).getStructure("trainingSet");
}
if (m_testProvider) {
return ((StructureProducer)m_listenee).getStructure("testSet");
}
}
return null;
}
/**
* Get the structure of the output encapsulated in the named
* event. If the structure can't be determined in advance of
* seeing input, or this StructureProducer does not generate
* the named event, null should be returned.
*
* @param eventName the name of the output event that encapsulates
* the requested output.
*
* @return the structure of the output encapsulated in the named
* event or null if it can't be determined in advance of seeing input
* or the named event is not generated by this StructureProduce.
*/
public Instances getStructure(String eventName) {
if (!eventName.equals("trainingSet") && !eventName.equals("testSet")) {
return null;
}
if (m_listenee == null) {
return null;
}
if (eventName.equals("trainingSet") && m_trainingListeners.size() == 0) {
// downstream has asked for the structure of something that we
// are not producing at the moment
return null;
}
if (eventName.equals("testSet") && m_testListeners.size() == 0) {
// downstream has asked for the structure of something that we
// are not producing at the moment
return null;
}
return getUpstreamStructure();
}
/**
* Notify this object that it has been registered as a listener with
* a source with respect to the supplied event name
*
* @param eventName the event
* @param source the source with which this object has been registered as
* a listener
*/
public synchronized void connectionNotification(String eventName, Object source) {
super.connectionNotification(eventName, source);
if (connectionAllowed(eventName)) {
if (eventName.equals("dataSet")) {
m_dataProvider = true;
m_trainingProvider = false;
m_testProvider = false;
} else if (eventName.equals("trainingSet")) {
m_dataProvider = false;
m_trainingProvider = true;
m_testProvider = false;
} else if (eventName.equals("testSet")) {
m_dataProvider = false;
m_trainingProvider = false;
m_testProvider = true;
}
}
}
/**
* Notify this object that it has been deregistered as a listener with
* a source with respect to the supplied event name
*
* @param eventName the event
* @param source the source with which this object has been registered as
* a listener
*/
public synchronized void disconnectionNotification(String eventName,
Object source) {
super.disconnectionNotification(eventName, source);
if (m_listenee == null) {
m_dataProvider = false; m_trainingProvider = false;
m_testProvider = false;
}
}
/**
* Set a custom (descriptive) name for this bean
*
* @param name the name to use
*/
public void setCustomName(String name) {
m_visual.setText(name);
}
/**
* Get the custom (descriptive) name for this bean (if one has been set)
*
* @return the custom name (or the default name)
*/
public String getCustomName() {
return m_visual.getText();
}
/**
* Global info for this bean
*
* @return a <code>String</code> value
*/
public String globalInfo() {
return "Split an incoming data set into separate train and test sets." ;
}
/**
* Tip text info for this property
*
* @return a <code>String</code> value
*/
public String trainPercentTipText() {
return "The percentage of data to go into the training set";
}
/**
* Set the percentage of data to be in the training portion of the split
*
* @param newTrainPercent an <code>int</code> value
*/
public void setTrainPercent(double newTrainPercent) {
m_trainPercentage = newTrainPercent;
}
/**
* Get the percentage of the data that will be in the training portion of
* the split
*
* @return an <code>int</code> value
*/
public double getTrainPercent() {
return m_trainPercentage;
}
/**
* Tip text for this property
*
* @return a <code>String</code> value
*/
public String seedTipText() {
return "The randomization seed";
}
/**
* Set the random seed
*
* @param newSeed an <code>int</code> value
*/
public void setSeed(int newSeed) {
m_randomSeed = newSeed;
}
/**
* Get the value of the random seed
*
* @return an <code>int</code> value
*/
public int getSeed() {
return m_randomSeed;
}
/**
* Accept a training set
*
* @param e a <code>TrainingSetEvent</code> value
*/
public void acceptTrainingSet(TrainingSetEvent e) {
Instances trainingSet = e.getTrainingSet();
DataSetEvent dse = new DataSetEvent(this, trainingSet);
acceptDataSet(dse);
}
/**
* Accept a test set
*
* @param e a <code>TestSetEvent</code> value
*/
public void acceptTestSet(TestSetEvent e) {
Instances testSet = e.getTestSet();
DataSetEvent dse = new DataSetEvent(this, testSet);
acceptDataSet(dse);
}
/**
* Accept a data set
*
* @param e a <code>DataSetEvent</code> value
*/
public void acceptDataSet(DataSetEvent e) {
if (m_splitThread == null) {
final Instances dataSet = new Instances(e.getDataSet());
m_splitThread = new Thread() {
public void run() {
try {
dataSet.randomize(new Random(m_randomSeed));
int trainSize =
(int)Math.round(dataSet.numInstances() * m_trainPercentage / 100);
int testSize = dataSet.numInstances() - trainSize;
Instances train = new Instances(dataSet, 0, trainSize);
Instances test = new Instances(dataSet, trainSize, testSize);
TrainingSetEvent tse =
new TrainingSetEvent(TrainTestSplitMaker.this, train);
tse.m_setNumber = 1; tse.m_maxSetNumber = 1;
if (m_splitThread != null) {
notifyTrainingSetProduced(tse);
}
// inform all test set listeners
TestSetEvent teste =
new TestSetEvent(TrainTestSplitMaker.this, test);
teste.m_setNumber = 1; teste.m_maxSetNumber = 1;
if (m_splitThread != null) {
notifyTestSetProduced(teste);
} else {
if (m_logger != null) {
m_logger.logMessage("[TrainTestSplitMaker] "
+ statusMessagePrefix() + " Split has been canceled!");
m_logger.statusMessage(statusMessagePrefix()
+ "INTERRUPTED");
}
}
} catch (Exception ex) {
stop(); // stop all processing
if (m_logger != null) {
m_logger.statusMessage(statusMessagePrefix()
+ "ERROR (See log for details)");
m_logger.logMessage("[TrainTestSplitMaker] "
+ statusMessagePrefix()
+ " problem during split creation. "
+ ex.getMessage());
}
ex.printStackTrace();
} finally {
if (isInterrupted()) {
if (m_logger != null) {
m_logger.logMessage("[TrainTestSplitMaker] "
+ statusMessagePrefix() + " Split has been canceled!");
m_logger.statusMessage(statusMessagePrefix()
+ "INTERRUPTED");
}
}
block(false);
}
}
};
m_splitThread.setPriority(Thread.MIN_PRIORITY);
m_splitThread.start();
// if (m_splitThread.isAlive()) {
block(true);
// }
m_splitThread = null;
}
}
/**
* Notify test set listeners that a test set is available
*
* @param tse a <code>TestSetEvent</code> value
*/
protected void notifyTestSetProduced(TestSetEvent tse) {
Vector l;
synchronized (this) {
l = (Vector)m_testListeners.clone();
}
if (l.size() > 0) {
for(int i = 0; i < l.size(); i++) {
if (m_splitThread == null) {
break;
}
// System.err.println("Notifying test listeners "
// +"(Train - test split maker)");
((TestSetListener)l.elementAt(i)).acceptTestSet(tse);
}
}
}
/**
* Notify training set listeners that a training set is available
*
* @param tse a <code>TrainingSetEvent</code> value
*/
protected void notifyTrainingSetProduced(TrainingSetEvent tse) {
Vector l;
synchronized (this) {
l = (Vector)m_trainingListeners.clone();
}
if (l.size() > 0) {
for(int i = 0; i < l.size(); i++) {
if (m_splitThread == null) {
break;
}
// System.err.println("Notifying training listeners "
// +"(Train - test split fold maker)");
((TrainingSetListener)l.elementAt(i)).acceptTrainingSet(tse);
}
}
}
/**
* Function used to stop code that calls acceptDataSet. This is
* needed as split is performed inside a separate
* thread of execution.
*
* @param tf a <code>boolean</code> value
*/
private synchronized void block(boolean tf) {
if (tf) {
try {
// make sure that the thread is still alive before blocking
if (m_splitThread.isAlive()) {
wait();
}
} catch (InterruptedException ex) {
}
} else {
notifyAll();
}
}
/**
* Stop processing
*/
public void stop() {
// tell the listenee (upstream bean) to stop
if (m_listenee instanceof BeanCommon) {
// System.err.println("Listener is BeanCommon");
((BeanCommon)m_listenee).stop();
}
// stop the split thread
if (m_splitThread != null) {
Thread temp = m_splitThread;
m_splitThread = null;
temp.interrupt();
temp.stop();
}
}
/**
* Returns true if. at this time, the bean is busy with some
* (i.e. perhaps a worker thread is performing some calculation).
*
* @return true if the bean is busy.
*/
public boolean isBusy() {
return (m_splitThread != null);
}
/**
* Get list of user requests
*
* @return an <code>Enumeration</code> value
*/
public Enumeration enumerateRequests() {
Vector newVector = new Vector(0);
if (m_splitThread != null) {
newVector.addElement("Stop");
}
return newVector.elements();
}
/**
* Perform the named request
*
* @param request a <code>String</code> value
* @exception IllegalArgumentException if an error occurs
*/
public void performRequest(String request) {
if (request.compareTo("Stop") == 0) {
stop();
} else {
throw new IllegalArgumentException(request
+ " not supported (TrainTestSplitMaker)");
}
}
/**
* Returns true, if at the current time, the named event could
* be generated. Assumes that the supplied event name is
* an event that could be generated by this bean
*
* @param eventName the name of the event in question
* @return true if the named event could be generated at this point in
* time
*/
public boolean eventGeneratable(String eventName) {
if (m_listenee == null) {
return false;
}
if (m_listenee instanceof EventConstraints) {
if (((EventConstraints)m_listenee).eventGeneratable("dataSet") ||
((EventConstraints)m_listenee).eventGeneratable("trainingSet") ||
((EventConstraints)m_listenee).eventGeneratable("testSet")) {
return true;
} else {
return false;
}
}
return true;
}
private String statusMessagePrefix() {
return getCustomName() + "$" + hashCode() + "|";
}
}