boundarypaneldistributed.java

代码是一个分类器的实现,其中使用了部分weka的源代码。可以将项目导入eclipse运行

/*
 *    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.
 */

/*
 *   BoundaryPanelDistrubuted.java
 *   Copyright (C) 2003 Mark Hall
 *
 */

package weka.gui.boundaryvisualizer;

import java.awt.*;
import java.awt.event.*;
import javax.swing.JPanel;
import javax.swing.ToolTipManager;
import java.util.Vector;
import java.util.Random;
import java.rmi.*;

import com.sun.image.codec.jpeg.*;
import java.awt.image.*;
import java.io.*;

import weka.core.*;
import weka.classifiers.Classifier;
import weka.classifiers.bayes.NaiveBayesSimple;
import weka.classifiers.bayes.NaiveBayes;
import weka.classifiers.trees.J48;
import weka.classifiers.lazy.IBk;
import weka.classifiers.functions.Logistic;
import weka.clusterers.EM;
import weka.filters.Filter;
import weka.filters.unsupervised.attribute.Remove;
import weka.filters.unsupervised.attribute.Add;
import weka.experiment.RemoteExperimentListener;
import weka.experiment.RemoteExperimentEvent;
import weka.experiment.Compute;
import weka.experiment.TaskStatusInfo;

/**
 * This class extends BoundaryPanel with code for distributing the
 * processing necessary to create a visualization among a list of
 * remote machines. Specifically, a visualization is broken down and
 * processed row by row using the available remote computers.
 *
 * @author <a href="mailto:[e-mail]">Mark Hall</a>
 * @version $Revision: 1.5 $
 * @since 1.0
 * @see BoundaryPanel
 */
public class BoundaryPanelDistributed extends BoundaryPanel {

  /** a list of RemoteExperimentListeners */
  protected Vector m_listeners = new Vector();

  /** Holds the names of machines with remoteEngine servers running */
  protected Vector m_remoteHosts = new Vector();
  
  /** The queue of available hosts */
  private weka.core.Queue m_remoteHostsQueue = new weka.core.Queue();

  /** The status of each of the remote hosts */
  private int [] m_remoteHostsStatus;

  /** The number of times tasks have failed on each remote host */
  private int [] m_remoteHostFailureCounts;

  protected static final int AVAILABLE=0;
  protected static final int IN_USE=1;
  protected static final int CONNECTION_FAILED=2;
  protected static final int SOME_OTHER_FAILURE=3;

  protected static final int MAX_FAILURES=3;

  /** Set to true if MAX_FAILURES exceeded on all hosts or connections fail 
      on all hosts or user aborts plotting */
  private boolean m_plottingAborted = false;

  /** The number of hosts removed due to exceeding max failures */
  private int m_removedHosts;

  /** The count of failed sub-tasks */
  private int m_failedCount;

  /** The count of successfully completed sub-tasks */
  private int m_finishedCount;

  /** The queue of sub-tasks waiting to be processed */
  private weka.core.Queue m_subExpQueue = new weka.core.Queue();

  // number of seconds between polling server
  private int m_minTaskPollTime = 1000;

  private int [] m_hostPollingTime;

  /**
   * Creates a new <code>BoundaryPanelDistributed</code> instance.
   *
   * @param panelWidth width of the display
   * @param panelHeight height of the display
   */
  public BoundaryPanelDistributed(int panelWidth, int panelHeight) {
    super(panelWidth, panelHeight);
  }

  /**
   * Set a list of host names of machines to distribute processing to
   *
   * @param remHosts a Vector of host names (Strings)
   */
  public void setRemoteHosts(Vector remHosts) {
    m_remoteHosts = remHosts;
  }

  /**
   * Add an object to the list of those interested in recieving update
   * information from the RemoteExperiment
   * @param r a listener
   */
  public void addRemoteExperimentListener(RemoteExperimentListener r) {
    m_listeners.addElement(r);
  }

  protected void initialize() {
    super.initialize();

    m_plottingAborted = false;
    m_finishedCount = 0;
    m_failedCount = 0;

    // initialize all remote hosts to available
    m_remoteHostsStatus = new int [m_remoteHosts.size()];    
    m_remoteHostFailureCounts = new int [m_remoteHosts.size()];

    m_remoteHostsQueue = new weka.core.Queue();

    if (m_remoteHosts.size() == 0) {
      System.err.println("No hosts specified!");
      System.exit(1);
    }

    // prime the hosts queue
    m_hostPollingTime = new int [m_remoteHosts.size()];
    for (int i=0;i<m_remoteHosts.size();i++) {
      m_remoteHostsQueue.push(new Integer(i));
      m_hostPollingTime[i] = m_minTaskPollTime;
    }

    // set up sub taskss (just holds the row numbers to be processed
    m_subExpQueue = new weka.core.Queue();
    for (int i = 0; i < m_panelHeight; i++) {
      m_subExpQueue.push(new Integer(i));
    }
    
    try {
      // need to build classifier and data generator
      m_classifier.buildClassifier(m_trainingData);
    } catch (Exception ex) {
      ex.printStackTrace();
      System.exit(1);
    }
    
    boolean [] attsToWeightOn;
    // build DataGenerator
    attsToWeightOn = new boolean[m_trainingData.numAttributes()];
    attsToWeightOn[m_xAttribute] = true;
    attsToWeightOn[m_yAttribute] = true;
    
    m_dataGenerator.setWeightingDimensions(attsToWeightOn);    
    try {
      m_dataGenerator.buildGenerator(m_trainingData);
    } catch (Exception ex) {
      ex.printStackTrace();
      System.exit(1);
    }
  }

  /**
   * Start processing
   *
   * @exception Exception if an error occurs
   */
  public void start() throws Exception {
    // done in the sub task
    /*     m_numOfSamplesPerGenerator = 
	   (int)Math.pow(m_samplesBase, m_trainingData.numAttributes()-3); */

    m_stopReplotting = true;
    if (m_trainingData == null) {
      throw new Exception("No training data set (BoundaryPanel)");
    }
    if (m_classifier == null) {
      throw new Exception("No classifier set (BoundaryPanel)");
    }
    if (m_dataGenerator == null) {
      throw new Exception("No data generator set (BoundaryPanel)");
    }
    if (m_trainingData.attribute(m_xAttribute).isNominal() || 
	m_trainingData.attribute(m_yAttribute).isNominal()) {
      throw new Exception("Visualization dimensions must be numeric "
			  +"(BoundaryPanel)");
    }
    
    computeMinMaxAtts();
    initialize();

    // launch tasks on all available hosts
    int totalHosts = m_remoteHostsQueue.size();
    for (int i = 0; i < totalHosts; i++) {
      availableHost(-1);
      Thread.sleep(70);
    }
  }

  /**
   * Push a host back onto the list of available hosts and launch a waiting
   * Task (if any).
   *
   * @param hostNum the number of the host to return to the queue. -1
   * if no host to return.
   */
  protected synchronized void availableHost(int hostNum) {
    if (hostNum >= 0) { 
      if (m_remoteHostFailureCounts[hostNum] < MAX_FAILURES) {
	m_remoteHostsQueue.push(new Integer(hostNum));
      } else {
	notifyListeners(false,true,false,"Max failures exceeded for host "
			+((String)m_remoteHosts.elementAt(hostNum))
			+". Removed from host list.");
	m_removedHosts++;
      }
    }

    // check for all sub exp complete or all hosts failed or failed count
    // exceeded
    if (m_failedCount == (MAX_FAILURES * m_remoteHosts.size())) {
      m_plottingAborted = true;
      notifyListeners(false,true,true,"Plotting aborted! Max failures "
		      +"exceeded on all remote hosts.");
      return;
    }

    /*    System.err.println("--------------");
    System.err.println("exp q :"+m_subExpQueue.size());
    System.err.println("host list size "+m_remoteHosts.size());
    System.err.println("actual host list size "+m_remoteHostsQueue.size());
    System.err.println("removed hosts "+m_removedHosts); */
    if (m_subExpQueue.size() == 0 && 
	(m_remoteHosts.size() == 
	 (m_remoteHostsQueue.size() + m_removedHosts))) {
      if (m_plotTrainingData) {
	plotTrainingData();
      }
      notifyListeners(false,true,true,"Plotting completed successfully.");

      return;
    }


    if (checkForAllFailedHosts()) {
      return;
    }

    if (m_plottingAborted && 
	(m_remoteHostsQueue.size() + m_removedHosts) == 
	m_remoteHosts.size()) {
      notifyListeners(false,true,true,"Plotting aborted. All remote tasks "
		      +"finished.");
    }

    if (!m_subExpQueue.empty() && !m_plottingAborted) {
      if (!m_remoteHostsQueue.empty()) {
	int availHost, waitingTask;
	try {
	  availHost = ((Integer)m_remoteHostsQueue.pop()).intValue();
	  waitingTask = ((Integer)m_subExpQueue.pop()).intValue();
	  launchNext(waitingTask, availHost);
	} catch (Exception ex) {
	  ex.printStackTrace();
	}
      }
    }    
  }

  /**
   * Inform all listeners of progress
   * @param status true if this is a status type of message
   * @param log true if this is a log type of message
   * @param finished true if the remote task has finished
   * @param message the message.
   */
  private synchronized void notifyListeners(boolean status, 
					    boolean log, 
					    boolean finished,
					    String message) {
    if (m_listeners.size() > 0) {
      for (int i=0;i<m_listeners.size();i++) {
	RemoteExperimentListener r = 
	  (RemoteExperimentListener)(m_listeners.elementAt(i));
	r.remoteExperimentStatus(new RemoteExperimentEvent(status,
							   log,
							   finished,
							   message));
      }
    } else {
      System.err.println(message);
    }
  }

  /**
   * Check to see if we have failed to connect to all hosts
   */
  private boolean checkForAllFailedHosts() {
    boolean allbad = true;
    for (int i = 0; i < m_remoteHostsStatus.length; i++) {
      if (m_remoteHostsStatus[i] != CONNECTION_FAILED) {
	allbad = false;
	break;
      }
    }