/* * 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. */ /* * SingleClassifierEnhancer.java * Copyright (C) 2004 University of Waikato, Hamilton, New Zealand * */ package weka.classifiers; import weka.classifiers.rules.ZeroR; import weka.core.Capabilities; import weka.core.Option; import weka.core.OptionHandler; import weka.core.Utils; import weka.core.Capabilities.Capability; import java.util.Enumeration; import java.util.Vector; /** * Abstract utility class for handling settings common to meta * classifiers that use a single base learner. * * @author Eibe Frank (eibe@cs.waikato.ac.nz) * @version $Revision: 6041 $ */ public abstract class SingleClassifierEnhancer extends AbstractClassifier { /** for serialization */ private static final long serialVersionUID = -3665885256363525164L; /** The base classifier to use */ protected Classifier m_Classifier = new ZeroR(); /** * String describing default classifier. */ protected String defaultClassifierString() { return "weka.classifiers.rules.ZeroR"; } /** * Returns an enumeration describing the available options. * * @return an enumeration of all the available options. */ public Enumeration listOptions() { Vector newVector = new Vector(3); Enumeration enu = super.listOptions(); while (enu.hasMoreElements()) { newVector.addElement(enu.nextElement()); } newVector.addElement(new Option( "\tFull name of base classifier.\n" + "\t(default: " + defaultClassifierString() +")", "W", 1, "-W")); newVector.addElement(new Option( "", "", 0, "\nOptions specific to classifier " + m_Classifier.getClass().getName() + ":")); enu = ((OptionHandler)m_Classifier).listOptions(); while (enu.hasMoreElements()) { newVector.addElement(enu.nextElement()); } return newVector.elements(); } /** * Parses a given list of options. Valid options are:
*
* -W classname
* Specify the full class name of the base learner.
* * Options after -- are passed to the designated classifier.
* * @param options the list of options as an array of strings * @exception Exception if an option is not supported */ public void setOptions(String[] options) throws Exception { super.setOptions(options); String classifierName = Utils.getOption('W', options); if (classifierName.length() > 0) { // This is just to set the classifier in case the option // parsing fails. setClassifier(AbstractClassifier.forName(classifierName, null)); setClassifier(AbstractClassifier.forName(classifierName, Utils.partitionOptions(options))); } else { // This is just to set the classifier in case the option // parsing fails. setClassifier(AbstractClassifier.forName(defaultClassifierString(), null)); setClassifier(AbstractClassifier.forName(defaultClassifierString(), Utils.partitionOptions(options))); } } /** * Gets the current settings of the Classifier. * * @return an array of strings suitable for passing to setOptions */ public String [] getOptions() { String [] classifierOptions = ((OptionHandler)m_Classifier).getOptions(); int extraOptionsLength = classifierOptions.length; if (extraOptionsLength > 0) { extraOptionsLength++; // for the double hyphen } String [] superOptions = super.getOptions(); String [] options = new String [superOptions.length + extraOptionsLength + 2]; int current = 0; options[current++] = "-W"; options[current++] = getClassifier().getClass().getName(); System.arraycopy(superOptions, 0, options, current, superOptions.length); current += superOptions.length; if (classifierOptions.length > 0) { options[current++] = "--"; System.arraycopy(classifierOptions, 0, options, current, classifierOptions.length); } return options; } /** * Returns the tip text for this property * @return tip text for this property suitable for * displaying in the explorer/experimenter gui */ public String classifierTipText() { return "The base classifier to be used."; } /** * Returns default capabilities of the base classifier. * * @return the capabilities of the base classifier */ public Capabilities getCapabilities() { Capabilities result; if (getClassifier() != null) { result = getClassifier().getCapabilities(); } else { result = new Capabilities(this); result.disableAll(); } // set dependencies for (Capability cap: Capability.values()) result.enableDependency(cap); result.setOwner(this); return result; } /** * Set the base learner. * * @param newClassifier the classifier to use. */ public void setClassifier(Classifier newClassifier) { m_Classifier = newClassifier; } /** * Get the classifier used as the base learner. * * @return the classifier used as the classifier */ public Classifier getClassifier() { return m_Classifier; } /** * Gets the classifier specification string, which contains the class name of * the classifier and any options to the classifier * * @return the classifier string */ protected String getClassifierSpec() { Classifier c = getClassifier(); return c.getClass().getName() + " " + Utils.joinOptions(((OptionHandler)c).getOptions()); } }