source: src/main/java/weka/gui/beans/Clusterer.java @ 22

/*
 *    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.
 */

/*
 *    Clusterer.java
 *    Copyright (C) 2004 University of Waikato, Hamilton, New Zealand
 *
 */

package weka.gui.beans;

import weka.clusterers.EM;
import weka.core.Instances;
import weka.core.OptionHandler;
import weka.core.Utils;
import weka.filters.Filter;
import weka.filters.unsupervised.attribute.Remove;
import weka.gui.Logger;
import weka.gui.ExtensionFileFilter;

import java.awt.BorderLayout;
import java.beans.EventSetDescriptor;
import java.io.*;
import java.util.Enumeration;
import java.util.Hashtable;
import java.util.Vector;

import javax.swing.JPanel;
import javax.swing.JOptionPane;
import javax.swing.JFileChooser;

import javax.swing.JPanel;

/**
 * Bean that wraps around weka.clusterers
 *
 * @author <a href="mailto:mutter@cs.waikato.ac.nz">Stefan Mutter</a>
 * @version $Revision: 5247 $
 * @see JPanel
 * @see BeanCommon
 * @see Visible
 * @see WekaWrapper
 * @see Serializable
 * @see UserRequestAcceptor
 * @see TrainingSetListener
 * @see TestSetListener
 */
public class Clusterer
  extends JPanel
  implements BeanCommon, Visible, WekaWrapper, EventConstraints, 
             UserRequestAcceptor, TrainingSetListener, 
             TestSetListener, ConfigurationProducer {

  /** for serialization */
  private static final long serialVersionUID = 7729795159836843810L;

  protected BeanVisual m_visual = 
    new BeanVisual("Clusterer",
                   BeanVisual.ICON_PATH+"EM.gif",
                   BeanVisual.ICON_PATH+"EM_animated.gif");

  private static int IDLE = 0;
  private static int BUILDING_MODEL = 1;
  private static int CLUSTERING = 2;

  private int m_state = IDLE;

  private Thread m_buildThread = null;

  /**
   * Global info for the wrapped classifier (if it exists).
   */
  protected String m_globalInfo;

  /**
   * Objects talking to us
   */
  private Hashtable m_listenees = new Hashtable();

  /**
   * Objects listening for batch clusterer events
   */
  private Vector m_batchClustererListeners = new Vector();


  /**
   * Objects listening for graph events
   */
  private Vector m_graphListeners = new Vector();

  /**
   * Objects listening for text events
   */
  private Vector m_textListeners = new Vector();

  /**
   * Holds training instances for batch training. 
   */
  private Instances m_trainingSet;
  private transient Instances m_testingSet;
  private weka.clusterers.Clusterer m_Clusterer = new EM();
  

  private transient Logger m_log = null;

  private Double m_dummy = new Double(0.0);

  private transient JFileChooser m_fileChooser = null;

  /**
   * Global info (if it exists) for the wrapped classifier
   *
   * @return the global info
   */
  public String globalInfo() {
    return m_globalInfo;
  }

  /**
   * Creates a new <code>Clusterer</code> instance.
   */
  public Clusterer() {
    setLayout(new BorderLayout());
    add(m_visual, BorderLayout.CENTER);
    setClusterer(m_Clusterer);
  }

  /**
   * 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();
  }

  /**
   * Set the clusterer for this wrapper
   *
   * @param c a <code>weka.clusterers.Clusterer</code> value
   */
  public void setClusterer(weka.clusterers.Clusterer c) {
    boolean loadImages = true;
    if (c.getClass().getName().
        compareTo(m_Clusterer.getClass().getName()) == 0) {
      loadImages = false;
    } else {
      // clusterer has changed so any batch training status is now
      // invalid
      m_trainingSet = null;
    }
    m_Clusterer = c;
    String clustererName = c.getClass().toString();
    clustererName = clustererName.substring(clustererName.
                                              lastIndexOf('.')+1, 
                                              clustererName.length());
    if (loadImages) {
      if (!m_visual.loadIcons(BeanVisual.ICON_PATH+clustererName+".gif",
                       BeanVisual.ICON_PATH+clustererName+"_animated.gif")) {
        useDefaultVisual();
      }
    }
    m_visual.setText(clustererName);

    // get global info
    m_globalInfo = KnowledgeFlowApp.getGlobalInfo(m_Clusterer);
  }


  /**
   * Returns true if this clusterer has an incoming connection that is
   * a batch set of instances
   *
   * @return a <code>boolean</code> value
   */
  public boolean hasIncomingBatchInstances() {
    if (m_listenees.size() == 0) {
      return false;
    }
    if (m_listenees.containsKey("trainingSet") ||
        m_listenees.containsKey("testSet") ||
        m_listenees.containsKey("dataSet")) {
      return true;
    }
    return false;
  }

  /**
   * Get the clusterer currently set for this wrapper
   *
   * @return a <code>weka.clusterers.Clusterer</code> value
   */
  public weka.clusterers.Clusterer getClusterer() {
    return m_Clusterer;
  }

  /**
   * Sets the algorithm (clusterer) for this bean
   *
   * @param algorithm an <code>Object</code> value
   * @exception IllegalArgumentException if an error occurs
   */
  public void setWrappedAlgorithm(Object algorithm) 
    {

    if (!(algorithm instanceof weka.clusterers.Clusterer)) { 
      throw new IllegalArgumentException(algorithm.getClass()+" : incorrect "
                                         +"type of algorithm (Clusterer)");
    }
    setClusterer((weka.clusterers.Clusterer)algorithm);
  }

  /**
   * Returns the wrapped clusterer
   *
   * @return an <code>Object</code> value
   */
  public Object getWrappedAlgorithm() {
    return getClusterer();
  }


  /**
   * Accepts a training set and builds batch clusterer
   *
   * @param e a <code>TrainingSetEvent</code> value
   */
  public void acceptTrainingSet(final TrainingSetEvent e) {
    if (e.isStructureOnly()) {
      // no need to build a clusterer, instead just generate a dummy
      // BatchClustererEvent in order to pass on instance structure to
      // any listeners 
      BatchClustererEvent ce = 
        new BatchClustererEvent(this, m_Clusterer, 
                                 new DataSetEvent(this, e.getTrainingSet()),
                                 e.getSetNumber(), e.getMaxSetNumber(),1);

      notifyBatchClustererListeners(ce);
      return;
    }
    if (m_buildThread == null) {
      try {
        if (m_state == IDLE) {
          synchronized (this) {
            m_state = BUILDING_MODEL;
          }
          m_trainingSet = e.getTrainingSet();
//        final String oldText = m_visual.getText();
          m_buildThread = new Thread() {
              public void run() {
                try {
                  if (m_trainingSet != null) {  
                    m_visual.setAnimated();
//                  m_visual.setText("Building clusters...");
                    if (m_log != null) {
                      m_log.statusMessage(statusMessagePrefix() 
                          + "Building clusters...");
                    }
                    buildClusterer();
                    if(m_batchClustererListeners.size() > 0){
                        BatchClustererEvent ce = 
                            new BatchClustererEvent(this, m_Clusterer, 
                                 new DataSetEvent(this, e.getTrainingSet()),
                                 e.getSetNumber(), e.getMaxSetNumber(),1);
                        notifyBatchClustererListeners(ce);
                    }
                    if (m_Clusterer instanceof weka.core.Drawable && 
                        m_graphListeners.size() > 0) {
                      String grphString = 
                        ((weka.core.Drawable)m_Clusterer).graph();
                      int grphType = ((weka.core.Drawable)m_Clusterer).graphType();
                      String grphTitle = m_Clusterer.getClass().getName();
                      grphTitle = grphTitle.substring(grphTitle.
                                                      lastIndexOf('.')+1, 
                                                      grphTitle.length());
                      grphTitle = "Set " + e.getSetNumber() + " ("
                        +e.getTrainingSet().relationName() + ") "
                        +grphTitle;
                      
                      GraphEvent ge = new GraphEvent(Clusterer.this, 
                                                     grphString, 
                                                     grphTitle,
                                                     grphType);
                      notifyGraphListeners(ge);
                    }

                    if (m_textListeners.size() > 0) {
                      String modelString = m_Clusterer.toString();
                      String titleString = m_Clusterer.getClass().getName();
                      
                      titleString = titleString.
                        substring(titleString.lastIndexOf('.') + 1,
                                  titleString.length());
                      modelString = "=== Clusterer model ===\n\n" +
                        "Scheme:   " +titleString+"\n" +
                        "Relation: "  + m_trainingSet.relationName() + 
                        ((e.getMaxSetNumber() > 1) 
                         ? "\nTraining Fold: "+e.getSetNumber()
                         :"")
                        + "\n\n"
                        + modelString;
                      titleString = "Model: " + titleString;

                      TextEvent nt = new TextEvent(Clusterer.this,
                                                   modelString,
                                                   titleString);
                      notifyTextListeners(nt);
                    }
                  }
                } catch (Exception ex) {
                  Clusterer.this.stop(); // stop processing
                  if (m_log != null) {
                    m_log.statusMessage(statusMessagePrefix()
                        + "ERROR (See log for details");
                    m_log.logMessage("[Clusterer] " + statusMessagePrefix()
                        + " problem training clusterer. " + ex.getMessage());
                  }
                  ex.printStackTrace();
                } finally {
//                m_visual.setText(oldText);
                  m_visual.setStatic();
                  m_state = IDLE;
                  if (isInterrupted()) {
                    // prevent any clusterer events from being fired
                    m_trainingSet = null;
                    if (m_log != null) {
                      m_log.logMessage("[Clusterer]" + statusMessagePrefix() 
                          + " Build clusterer interrupted!");
                      m_log.statusMessage(statusMessagePrefix() 
                          + "INTERRUPTED");
                    }
                  } else {
                    // save header
                    m_trainingSet = new Instances(m_trainingSet, 0);
                    if (m_log != null) {
                      m_log.statusMessage(statusMessagePrefix() + "Finished.");
                    }
                  }
                  block(false);
                }
              } 
            };
          m_buildThread.setPriority(Thread.MIN_PRIORITY);
          m_buildThread.start();
          // make sure the thread is still running before we block
          //      if (m_buildThread.isAlive()) {
          block(true);
            //    }
          m_buildThread = null;
          m_state = IDLE;
        }
      } catch (Exception ex) {
        ex.printStackTrace();
      }
    }
  }

  /**
   * Accepts a test set for a batch trained clusterer
   *
   * @param e a <code>TestSetEvent</code> value
   */
  public void acceptTestSet(TestSetEvent e) {

    if (m_trainingSet != null) {
      try {
        if (m_state == IDLE) {
          synchronized(this) {
            m_state = CLUSTERING;
          }
          m_testingSet = e.getTestSet();
          if (m_trainingSet.equalHeaders(m_testingSet)) {
            BatchClustererEvent ce = 
              new BatchClustererEvent(this, m_Clusterer, 
                                       new DataSetEvent(this, e.getTestSet()),
                                  e.getSetNumber(), e.getMaxSetNumber(),0);

            notifyBatchClustererListeners(ce);
            
          }
          m_state = IDLE;
        }
      } catch (Exception ex) {
        stop(); // stop any processing
        if (m_log != null) {
          m_log.statusMessage(statusMessagePrefix()
              + "ERROR (see log for details");
          m_log.logMessage("[Clusterer] " + statusMessagePrefix()
              + " problem during testing. " + ex.getMessage());
        }
        ex.printStackTrace();
      }
    }
  }

/**
   * Builds the clusters
   */
  private void buildClusterer() throws Exception {
      if(m_trainingSet.classIndex() < 0)  
        m_Clusterer.buildClusterer(m_trainingSet);
      else{ //class based evaluation if class attribute is set
        Remove removeClass = new Remove();
        removeClass.setAttributeIndices(""+(m_trainingSet.classIndex()+1));
        removeClass.setInvertSelection(false);
        removeClass.setInputFormat(m_trainingSet);
        Instances clusterTrain = Filter.useFilter(m_trainingSet, removeClass);
        m_Clusterer.buildClusterer(clusterTrain);
      }
  }

  /**
   * Sets the visual appearance of this wrapper bean
   *
   * @param newVisual a <code>BeanVisual</code> value
   */
  public void setVisual(BeanVisual newVisual) {
    m_visual = newVisual;
  }

  /**
   * Gets the visual appearance of this wrapper bean
   */
  public BeanVisual getVisual() {
    return m_visual;
  }

  /**
   * Use the default visual appearance for this bean
   */
  public void useDefaultVisual() {
    m_visual.loadIcons(BeanVisual.ICON_PATH+"DefaultClusterer.gif",
                       BeanVisual.ICON_PATH+"DefaultClusterer_animated.gif");
  }

  /**
   * Add a batch clusterer listener
   *
   * @param cl a <code>BatchClustererListener</code> value
   */
  public synchronized void 
    addBatchClustererListener(BatchClustererListener cl) {
    m_batchClustererListeners.addElement(cl);
  }

  /**
   * Remove a batch clusterer listener
   *
   * @param cl a <code>BatchClustererListener</code> value
   */
  public synchronized void 
    removeBatchClustererListener(BatchClustererListener cl) {
    m_batchClustererListeners.remove(cl);
  }

  /**
   * Notify all batch clusterer listeners of a batch clusterer event
   *
   * @param ce a <code>BatchClustererEvent</code> value
   */
  private void notifyBatchClustererListeners(BatchClustererEvent ce) {
    Vector l;
    synchronized (this) {
      l = (Vector)m_batchClustererListeners.clone();
    }
    if (l.size() > 0) {
      for(int i = 0; i < l.size(); i++) {
        ((BatchClustererListener)l.elementAt(i)).acceptClusterer(ce);
      }
    }
  }

  /**
   * Add a graph listener
   *
   * @param cl a <code>GraphListener</code> value
   */
  public synchronized void addGraphListener(GraphListener cl) {
    m_graphListeners.addElement(cl);
  }

  /**
   * Remove a graph listener
   *
   * @param cl a <code>GraphListener</code> value
   */
  public synchronized void removeGraphListener(GraphListener cl) {
    m_graphListeners.remove(cl);
  }

  /**
   * Notify all graph listeners of a graph event
   *
   * @param ge a <code>GraphEvent</code> value
   */
  private void notifyGraphListeners(GraphEvent ge) {
    Vector l;
    synchronized (this) {
      l = (Vector)m_graphListeners.clone();
    }
    if (l.size() > 0) {
      for(int i = 0; i < l.size(); i++) {
        ((GraphListener)l.elementAt(i)).acceptGraph(ge);
      }
    }
  }

  /**
   * Add a text listener
   *
   * @param cl a <code>TextListener</code> value
   */
  public synchronized void addTextListener(TextListener cl) {
    m_textListeners.addElement(cl);
  }

  /**
   * Remove a text listener
   *
   * @param cl a <code>TextListener</code> value
   */
  public synchronized void removeTextListener(TextListener cl) {
    m_textListeners.remove(cl);
  }

  /**
   * Notify all text listeners of a text event
   *
   * @param ge a <code>TextEvent</code> value
   */
  private void notifyTextListeners(TextEvent ge) {
    Vector l;
    synchronized (this) {
      l = (Vector)m_textListeners.clone();
    }
    if (l.size() > 0) {
      for(int i = 0; i < l.size(); i++) {
        ((TextListener)l.elementAt(i)).acceptText(ge);
      }
    }
  }
  
  /**
   * We don't have to keep track of configuration listeners (see the
   * documentation for ConfigurationListener/ConfigurationEvent).
   * 
   * @param cl a ConfigurationListener.
   */
  public synchronized void addConfigurationListener(ConfigurationListener cl) {
    
  }
  
  /**
   * We don't have to keep track of configuration listeners (see the
   * documentation for ConfigurationListener/ConfigurationEvent).
   * 
   * @param cl a ConfigurationListener.
   */
  public synchronized void removeConfigurationListener(ConfigurationListener cl) {
    
  }


  /**
   * Returns true if, at this time, 
   * the object will accept a connection with respect to the named event
   *
   * @param eventName the event
   * @return true if the object will accept a connection
   */
  public boolean connectionAllowed(String eventName) {
    /*    if (eventName.compareTo("instance") == 0) {
      if (!(m_Clusterer instanceof weka.classifiers.UpdateableClassifier)) {
        return false;
      }
      } */
    if (m_listenees.containsKey(eventName)) {
      return false;
    }
    return true;
  }

  /**
   * Returns true if, at this time, 
   * the object will accept a connection according to the supplied
   * EventSetDescriptor
   *
   * @param esd the EventSetDescriptor
   * @return true if the object will accept a connection
   */
  public boolean connectionAllowed(EventSetDescriptor esd) {
    return connectionAllowed(esd.getName());
  }

  /**
   * Notify this object that it has been registered as a listener with
   * a source with respect to the named event
   *
   * @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) {

    if (connectionAllowed(eventName)) {
      m_listenees.put(eventName, source);
      /*      if (eventName.compareTo("instance") == 0) {
        startIncrementalHandler();
        } */
    }
  }

  /**
   * 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) {
    m_listenees.remove(eventName);
  }

  /**
   * Function used to stop code that calls acceptTrainingSet. This is 
   * needed as clusterer construction is performed inside a separate
   * thread of execution.
   *
   * @param tf a <code>boolean</code> value
   */
  private synchronized void block(boolean tf) {

    if (tf) {
      try {
          // only block if thread is still doing something useful!
        if (m_buildThread.isAlive() && m_state != IDLE) {
          wait();
          }
      } catch (InterruptedException ex) {
      }
    } else {
      notifyAll();
    }
  }

  /**
   * 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_buildThread != null);
  }
  
  /**
   * Stop any clusterer action
   */
  public void stop() {
    // tell all listenees (upstream beans) to stop
    Enumeration en = m_listenees.keys();
    while (en.hasMoreElements()) {
      Object tempO = m_listenees.get(en.nextElement());
      if (tempO instanceof BeanCommon) {
        ((BeanCommon)tempO).stop();
      }
    }

    // stop the build thread
    if (m_buildThread != null) {
      m_buildThread.interrupt();
      m_buildThread.stop();
      m_buildThread = null;
      m_visual.setStatic();
    }
  }

  /**
   * Set a logger
   *
   * @param logger a <code>Logger</code> value
   */
  public void setLog(Logger logger) {
    m_log = logger;
  }

  public void saveModel() {
    try {
      if (m_fileChooser == null) {
        // i.e. after de-serialization
        m_fileChooser = 
          new JFileChooser(new File(System.getProperty("user.dir")));
        ExtensionFileFilter ef = new ExtensionFileFilter("model", "Serialized weka clusterer");
      m_fileChooser.setFileFilter(ef);
      }
      int returnVal = m_fileChooser.showSaveDialog(this);
      if (returnVal == JFileChooser.APPROVE_OPTION) {
        File saveTo = m_fileChooser.getSelectedFile();
        String fn = saveTo.getAbsolutePath();
        if (!fn.endsWith(".model")) {
          fn += ".model";
          saveTo = new File(fn);
        }
        ObjectOutputStream os = 
          new ObjectOutputStream(new BufferedOutputStream(
                                                          new FileOutputStream(saveTo)));
        os.writeObject(m_Clusterer);
        if (m_trainingSet != null) {
          Instances header = new Instances(m_trainingSet, 0);
          os.writeObject(header);
        }
        os.close();
        if (m_log != null) {
          m_log.logMessage("[Clusterer] Saved clusterer " + getCustomName());
        }
      }
    } catch (Exception ex) {
      JOptionPane.showMessageDialog(Clusterer.this,
                                    "Problem saving clusterer.\n",
                                    "Save Model",
                                    JOptionPane.ERROR_MESSAGE);
      if (m_log != null) {
        m_log.logMessage("[Clusterer] Problem saving clusterer. " 
            + getCustomName() + ex.getMessage());
      }
    }
  }

  public void loadModel() {
    try {
      if (m_fileChooser == null) {
        // i.e. after de-serialization
        m_fileChooser = 
          new JFileChooser(new File(System.getProperty("user.dir")));
        ExtensionFileFilter ef = new ExtensionFileFilter("model", "Serialized weka clusterer");
        m_fileChooser.setFileFilter(ef);
      }
      int returnVal = m_fileChooser.showOpenDialog(this);
      if (returnVal == JFileChooser.APPROVE_OPTION) {
        File loadFrom = m_fileChooser.getSelectedFile();
        ObjectInputStream is = 
          new ObjectInputStream(new BufferedInputStream(
                                new FileInputStream(loadFrom)));
        // try and read the model
        weka.clusterers.Clusterer temp = (weka.clusterers.Clusterer)is.readObject();

        // Update name and icon
        setClusterer(temp);
        
        // try and read the header (if present)
        try {
          m_trainingSet = (Instances)is.readObject();
        } catch (Exception ex) {
          // quietly ignore
        }
        is.close();
        if (m_log != null) {
          m_log.logMessage("[Clusterer] Loaded clusterer: "
                           + m_Clusterer.getClass().toString());
        }
      }
    } catch (Exception ex) {
      JOptionPane.showMessageDialog(Clusterer.this,
                                    "Problem loading classifier.\n",
                                    "Load Model",
                                    JOptionPane.ERROR_MESSAGE);
      if (m_log != null) {
        m_log.logMessage("[Clusterer] Problem loading classifier. " 
            + ex.getMessage());
      }
    }
  }

  /**
   * Return an enumeration of requests that can be made by the user
   *
   * @return an <code>Enumeration</code> value
   */
  public Enumeration enumerateRequests() {
    Vector newVector = new Vector(0);
    if (m_buildThread != null) {
      newVector.addElement("Stop");
    }

    if (m_buildThread == null &&
        m_Clusterer != null) {
      newVector.addElement("Save model");
    }

    if (m_buildThread == null) {
      newVector.addElement("Load model");
    }
    
    return newVector.elements();
  }

  /**
   * Perform a particular request
   *
   * @param request the request to perform
   * @exception IllegalArgumentException if an error occurs
   */
  public void performRequest(String request) {
    if (request.compareTo("Stop") == 0) {
      stop();
    }  else if (request.compareTo("Save model") == 0) {
      saveModel();
    } else if (request.compareTo("Load model") == 0) {
      loadModel();
    } else {
      throw new IllegalArgumentException(request
                                         + " not supported (Clusterer)");
    }
  }

  /**
   * Returns true, if at the current time, the event described by the
   * supplied event descriptor could be generated.
   *
   * @param esd an <code>EventSetDescriptor</code> value
   * @return a <code>boolean</code> value
   */
  public boolean eventGeneratable(EventSetDescriptor esd) {
    String eventName = esd.getName();
    return eventGeneratable(eventName);
  }

  /**
   * 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 (eventName.compareTo("graph") == 0) {
      // can't generate a GraphEvent if clusterer is not drawable
      if (!(m_Clusterer instanceof weka.core.Drawable)) {
        return false;
      }
      // need to have a training set before the clusterer
      // can generate a graph!
      if (!m_listenees.containsKey("trainingSet")) {
        return false;
      }
      // Source needs to be able to generate a trainingSet
      // before we can generate a graph
      Object source = m_listenees.get("trainingSet");
       if (source instanceof EventConstraints) {
        if (!((EventConstraints)source).eventGeneratable("trainingSet")) {
          return false;
        }
      }
    }

    if (eventName.compareTo("batchClusterer") == 0) {
      if (!m_listenees.containsKey("trainingSet")) {
        return false;
      }
     
      Object source = m_listenees.get("trainingSet");
      if (source != null && source instanceof EventConstraints) {
        if (!((EventConstraints)source).eventGeneratable("trainingSet")) {
          return false;
        }
      }
    }

    if (eventName.compareTo("text") == 0) {
      if (!m_listenees.containsKey("trainingSet")){ 
        return false;
      }
      Object source = m_listenees.get("trainingSet");
      if (source != null && source instanceof EventConstraints) {
        if (!((EventConstraints)source).eventGeneratable("trainingSet")) {
          return false;
        }
      }
    }

    if (eventName.compareTo("batchClassifier") == 0)
        return false;
    if (eventName.compareTo("incrementalClassifier") == 0)
        return false;
    
    return true;
  }
  
  private String statusMessagePrefix() {
    return getCustomName() + "$" + hashCode() + "|"
    + ((m_Clusterer instanceof OptionHandler &&
        Utils.joinOptions(((OptionHandler)m_Clusterer).getOptions()).length() > 0)
        ? Utils.joinOptions(((OptionHandler)m_Clusterer).getOptions()) + "|"
            : "");
  }
}