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The Waikato Environment for Knowledge Analysis (WEKA), a machine
learning workbench. This version represents the developer version, the
"bleeding edge" of development, you could say. New functionality gets added
to this version.
/*
* 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 3 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, see .
*/
/*
* SerializedModelSaver.java
* Copyright (C) 2008-2012 University of Waikato, Hamilton, New Zealand
*
*/
package weka.gui.beans;
import java.awt.BorderLayout;
import java.beans.EventSetDescriptor;
import java.io.BufferedOutputStream;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.Vector;
import javax.swing.JPanel;
import weka.classifiers.UpdateableBatchProcessor;
import weka.core.Environment;
import weka.core.EnvironmentHandler;
import weka.core.Instances;
import weka.core.Tag;
import weka.core.Utils;
import weka.core.xml.KOML;
import weka.core.xml.XStream;
/**
* A bean that saves serialized models
*
* @author Mark Hall (mhall{[at]}pentaho{[dot]}org
* @version $Revision: 11077 $
*/
@KFStep(category = "DataSinks",
toolTipText = "Save a batch or incremental model to file")
public class SerializedModelSaver extends JPanel implements BeanCommon,
Visible, BatchClassifierListener, IncrementalClassifierListener,
BatchClustererListener, EnvironmentHandler, Serializable {
/** for serialization */
private static final long serialVersionUID = 3956528599473814287L;
/**
* Default visual for data sources
*/
protected BeanVisual m_visual = new BeanVisual("AbstractDataSink",
BeanVisual.ICON_PATH + "SerializedModelSaver.gif", BeanVisual.ICON_PATH
+ "SerializedModelSaver_animated.gif");
/**
* Non null if this object is a target for any events. Provides for the
* simplest case when only one incomming connection is allowed.
*/
protected Object m_listenee = null;
/**
* The log for this bean
*/
protected transient weka.gui.Logger m_logger = null;
/**
* The prefix for the file name (model + training set info will be appended)
*/
private String m_filenamePrefix = "";
/** Counter for use when processing incremental classifier events */
protected transient int m_counter;
/**
* How often to save an incremental classifier (<= 0 means only at the end of
* the stream)
*/
protected int m_incrementalSaveSchedule = 0;
/**
* The directory to hold the saved model(s)
*/
private File m_directory = new File(System.getProperty("user.dir"));
/**
* File format stuff
*/
private Tag m_fileFormat;
public final static int BINARY = 0;
public final static int KOMLV = 1;
public final static int XSTREAM = 2;
/** the extension for serialized models (binary Java serialization) */
public final static String FILE_EXTENSION = "model";
/**
* relative path for the directory (relative to the user.dir (startup
* directory))?
*/
private boolean m_useRelativePath = false;
/** include relation name in filename */
private boolean m_includeRelationName = false;
/**
* Available file formats. Reflection is used to check if classes are
* available for deep object serialization to XML
*/
public static ArrayList s_fileFormatsAvailable;
static {
s_fileFormatsAvailable = new ArrayList();
s_fileFormatsAvailable.add(new Tag(BINARY,
"Binary serialized model file (*" + FILE_EXTENSION + ")", "", false));
if (KOML.isPresent()) {
s_fileFormatsAvailable.add(new Tag(KOMLV, "XML serialized model file (*"
+ KOML.FILE_EXTENSION + FILE_EXTENSION + ")", "", false));
}
if (XStream.isPresent()) {
s_fileFormatsAvailable.add(new Tag(XSTREAM,
"XML serialized model file (*" + XStream.FILE_EXTENSION
+ FILE_EXTENSION + ")", "", false));
}
}
/**
* The environment variables.
*/
protected transient Environment m_env;
/**
* Constructor.
*/
public SerializedModelSaver() {
useDefaultVisual();
setLayout(new BorderLayout());
add(m_visual, BorderLayout.CENTER);
m_fileFormat = s_fileFormatsAvailable.get(0);
m_env = Environment.getSystemWide();
}
/**
* Set a custom (descriptive) name for this bean
*
* @param name the name to use
*/
@Override
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)
*/
@Override
public String getCustomName() {
return m_visual.getText();
}
/**
* Use the default images for this bean.
*
*/
@Override
public void useDefaultVisual() {
m_visual.loadIcons(BeanVisual.ICON_PATH + "SerializedModelSaver.gif",
BeanVisual.ICON_PATH + "SerializedModelSaver_animated.gif");
m_visual.setText("SerializedModelSaver");
}
/**
* Set the visual for this data source.
*
* @param newVisual a BeanVisual
value
*/
@Override
public void setVisual(BeanVisual newVisual) {
m_visual = newVisual;
}
/**
* Get the visual being used by this data source.
*
*/
@Override
public BeanVisual getVisual() {
return m_visual;
}
/**
* 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
*/
@Override
public boolean connectionAllowed(EventSetDescriptor esd) {
return connectionAllowed(esd.getName());
}
/**
* Returns true if, at this time, the object will accept a connection
* according to the supplied event name.
*
* @param eventName the event
* @return true if the object will accept a connection
*/
@Override
public boolean connectionAllowed(String eventName) {
return (m_listenee == null);
}
/**
* 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
*/
@Override
public synchronized void connectionNotification(String eventName,
Object source) {
if (connectionAllowed(eventName)) {
m_listenee = source;
}
}
/**
* 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
*/
@Override
public synchronized void disconnectionNotification(String eventName,
Object source) {
if (m_listenee == source) {
m_listenee = null;
}
}
/**
* Set a log for this bean.
*
* @param logger a weka.gui.Logger
value
*/
@Override
public void setLog(weka.gui.Logger logger) {
m_logger = logger;
}
/**
* Stop any processing that the bean might be doing.
*/
@Override
public void stop() {
// tell the listenee (upstream bean) to stop
if (m_listenee instanceof BeanCommon) {
((BeanCommon) m_listenee).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.
*/
@Override
public boolean isBusy() {
return false;
}
/**
* makes sure that the filename is valid, i.e., replaces slashes, backslashes
* and colons with underscores ("_").
*
* @param filename the filename to cleanse
* @return the cleansed filename
*/
protected String sanitizeFilename(String filename) {
return filename.replaceAll("\\\\", "_").replaceAll(":", "_")
.replaceAll("/", "_");
}
/**
* Accept and save a batch trained clusterer.
*
* @param ce a BatchClassifierEvent
value
*/
@Override
public void acceptClusterer(BatchClustererEvent ce) {
if (ce.getTestSet() == null
|| ce.getTestOrTrain() == BatchClustererEvent.TEST
|| ce.getTestSet().isStructureOnly()) {
return;
}
Instances trainHeader = new Instances(ce.getTestSet().getDataSet(), 0);
String titleString = ce.getClusterer().getClass().getName();
titleString = titleString.substring(titleString.lastIndexOf('.') + 1,
titleString.length());
String prefix = "";
String relationName = (m_includeRelationName) ? trainHeader.relationName()
: "";
try {
prefix = m_env.substitute(m_filenamePrefix);
} catch (Exception ex) {
stop(); // stop all processing
String message = "[SerializedModelSaver] " + statusMessagePrefix()
+ " Can't save model. Reason: " + ex.getMessage();
if (m_logger != null) {
m_logger.logMessage(message);
m_logger.statusMessage(statusMessagePrefix()
+ "ERROR (See log for details)");
} else {
System.err.println(message);
}
return;
}
String fileName = "" + prefix + relationName + titleString + "_"
+ ce.getSetNumber() + "_" + ce.getMaxSetNumber();
fileName = sanitizeFilename(fileName);
String dirName = m_directory.getPath();
try {
dirName = m_env.substitute(dirName);
} catch (Exception ex) {
String message = "[SerializedModelSaver] " + statusMessagePrefix()
+ " Can't save model. Reason: " + ex.getMessage();
if (m_logger != null) {
m_logger.logMessage(message);
m_logger.statusMessage(statusMessagePrefix()
+ "ERROR (See log for details)");
} else {
System.err.println(message);
}
return;
}
File tempFile = new File(dirName);
fileName = tempFile.getAbsolutePath() + File.separator + fileName;
saveModel(fileName, trainHeader, ce.getClusterer());
}
/**
* Accept and save an incrementally trained classifier.
*
* @param ce the BatchClassifierEvent containing the classifier
*/
@Override
public void acceptClassifier(final IncrementalClassifierEvent ce) {
if (ce.getStatus() == IncrementalClassifierEvent.BATCH_FINISHED ||
(m_incrementalSaveSchedule > 0
&& (m_counter % m_incrementalSaveSchedule == 0) && m_counter > 0)) {
// Only save model when the end of the stream is reached or according
// to our save schedule (if set)
Instances header = ce.getStructure();
String titleString = ce.getClassifier().getClass().getName();
titleString = titleString.substring(titleString.lastIndexOf('.') + 1,
titleString.length());
String prefix = "";
String relationName = (m_includeRelationName) ? header.relationName()
: "";
try {
prefix = m_env.substitute(m_filenamePrefix);
} catch (Exception ex) {
String message = "[SerializedModelSaver] " + statusMessagePrefix()
+ " Can't save model. Reason: " + ex.getMessage();
if (m_logger != null) {
m_logger.logMessage(message);
m_logger.statusMessage(statusMessagePrefix()
+ "ERROR (See log for details)");
} else {
System.err.println(message);
}
return;
}
String fileName = "" + prefix + relationName + titleString;
fileName = sanitizeFilename(fileName);
String dirName = m_directory.getPath();
try {
dirName = m_env.substitute(dirName);
} catch (Exception ex) {
String message = "[SerializedModelSaver] " + statusMessagePrefix()
+ " Can't save model. Reason: " + ex.getMessage();
if (m_logger != null) {
m_logger.logMessage(message);
m_logger.statusMessage(statusMessagePrefix()
+ "ERROR (See log for details)");
} else {
System.err.println(message);
}
return;
}
File tempFile = new File(dirName);
fileName = tempFile.getAbsolutePath() + File.separator + fileName;
saveModel(fileName, header, ce.getClassifier());
} else if (ce.getStatus() == IncrementalClassifierEvent.NEW_BATCH) {
m_counter = 0;
}
m_counter++;
}
/**
* Accept and save a batch trained classifier.
*
* @param ce the BatchClassifierEvent containing the classifier
*/
@Override
public void acceptClassifier(final BatchClassifierEvent ce) {
if (ce.getTrainSet() == null || ce.getTrainSet().isStructureOnly()) {
return;
}
Instances trainHeader = ce.getTrainSet().getDataSet().stringFreeStructure();
// adjust for InputMappedClassifier (if necessary)
if (ce.getClassifier() instanceof weka.classifiers.misc.InputMappedClassifier) {
try {
trainHeader = ((weka.classifiers.misc.InputMappedClassifier) ce
.getClassifier()).getModelHeader(trainHeader);
} catch (Exception e) {
e.printStackTrace();
}
}
String titleString = ce.getClassifier().getClass().getName();
titleString = titleString.substring(titleString.lastIndexOf('.') + 1,
titleString.length());
String prefix = "";
String relationName = (m_includeRelationName) ? trainHeader.relationName()
: "";
try {
prefix = m_env.substitute(m_filenamePrefix);
} catch (Exception ex) {
String message = "[SerializedModelSaver] " + statusMessagePrefix()
+ " Can't save model. Reason: " + ex.getMessage();
if (m_logger != null) {
m_logger.logMessage(message);
m_logger.statusMessage(statusMessagePrefix()
+ "ERROR (See log for details)");
} else {
System.err.println(message);
}
return;
}
String fileName = "" + prefix + relationName + titleString + "_"
+ ce.getSetNumber() + "_" + ce.getMaxSetNumber();
fileName = sanitizeFilename(fileName);
String dirName = m_directory.getPath();
try {
dirName = m_env.substitute(dirName);
} catch (Exception ex) {
String message = "[SerializedModelSaver] " + statusMessagePrefix()
+ " Can't save model. Reason: " + ex.getMessage();
if (m_logger != null) {
m_logger.logMessage(message);
m_logger.statusMessage(statusMessagePrefix()
+ "ERROR (See log for details)");
} else {
System.err.println(message);
}
return;
}
File tempFile = new File(dirName);
fileName = tempFile.getAbsolutePath() + File.separator + fileName;
saveModel(fileName, trainHeader, ce.getClassifier());
}
/**
* Helper routine to actually save the models.
*/
private void saveModel(String fileName, Instances trainHeader, Object model) {
m_fileFormat = validateFileFormat(m_fileFormat);
if (m_fileFormat == null) {
// default to binary if validation fails
m_fileFormat = s_fileFormatsAvailable.get(0);
}
if (model instanceof UpdateableBatchProcessor) {
// make sure model cleans up before saving
try {
((UpdateableBatchProcessor) model).batchFinished();
} catch (Exception ex) {
System.err.println("[SerializedModelSaver] Problem saving model");
if (m_logger != null) {
m_logger.logMessage("[SerializedModelSaver] " + statusMessagePrefix()
+ " Problem saving model. Reason: " + ex.getMessage());
m_logger.statusMessage(statusMessagePrefix()
+ "ERROR (See log for details)");
}
}
}
m_logger.logMessage("[SerializedModelSaver] " + statusMessagePrefix()
+ " Saving model " + model.getClass().getName());
try {
switch (m_fileFormat.getID()) {
case KOMLV:
fileName = fileName + KOML.FILE_EXTENSION + FILE_EXTENSION;
saveKOML(new File(fileName), model, trainHeader);
break;
case XSTREAM:
fileName = fileName + XStream.FILE_EXTENSION + FILE_EXTENSION;
saveXStream(new File(fileName), model, trainHeader);
break;
default:
fileName = fileName + "." + FILE_EXTENSION;
saveBinary(new File(fileName), model, trainHeader);
break;
}
} catch (Exception ex) {
System.err.println("[SerializedModelSaver] Problem saving model");
if (m_logger != null) {
m_logger.logMessage("[SerializedModelSaver] " + statusMessagePrefix()
+ " Problem saving model. Reason: " + ex.getMessage());
m_logger.statusMessage(statusMessagePrefix()
+ "ERROR (See log for details)");
}
}
}
/**
* Save a model in binary form.
*
* @param saveTo the file name to save to
* @param model the model to save
* @param header the header of the data that was used to train the model
* (optional)
*/
public static void saveBinary(File saveTo, Object model, Instances header)
throws IOException {
ObjectOutputStream os = new ObjectOutputStream(new BufferedOutputStream(
new FileOutputStream(saveTo)));
os.writeObject(model);
// now the header
if (header != null) {
os.writeObject(header);
}
os.close();
}
/**
* Save a model in KOML deep object serialized XML form.
*
* @param saveTo the file name to save to
* @param model the model to save
* @param header the header of the data that was used to train the model
* (optional)
*/
public static void saveKOML(File saveTo, Object model, Instances header)
throws Exception {
Vector
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