/* * 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. */ /* * MultipleClassifiersCombiner.java * Copyright (C) 2004 University of Waikato, Hamilton, New Zealand * */ package weka.classifiers; 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 build an ensemble from multiple classifiers. * * @author Eibe Frank (eibe@cs.waikato.ac.nz) * @version $Revision: 6041 $ */ public abstract class MultipleClassifiersCombiner extends AbstractClassifier { /** for serialization */ private static final long serialVersionUID = 2776436621129422119L; /** Array for storing the generated base classifiers. */ protected Classifier[] m_Classifiers = { new 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(1); newVector.addElement(new Option( "\tFull class name of classifier to include, followed\n" + "\tby scheme options. May be specified multiple times.\n" + "\t(default: \"weka.classifiers.rules.ZeroR\")", "B", 1, "-B ")); Enumeration enu = super.listOptions(); while (enu.hasMoreElements()) { newVector.addElement(enu.nextElement()); } return newVector.elements(); } /** * Parses a given list of options. Valid options are:

* * -B classifierstring
* Classifierstring should contain the full class name of a scheme * included for selection followed by options to the classifier * (required, option should be used once for each 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 { // Iterate through the schemes Vector classifiers = new Vector(); while (true) { String classifierString = Utils.getOption('B', options); if (classifierString.length() == 0) { break; } String [] classifierSpec = Utils.splitOptions(classifierString); if (classifierSpec.length == 0) { throw new IllegalArgumentException("Invalid classifier specification string"); } String classifierName = classifierSpec[0]; classifierSpec[0] = ""; classifiers.addElement(AbstractClassifier.forName(classifierName, classifierSpec)); } if (classifiers.size() == 0) { classifiers.addElement(new weka.classifiers.rules.ZeroR()); } Classifier [] classifiersArray = new Classifier [classifiers.size()]; for (int i = 0; i < classifiersArray.length; i++) { classifiersArray[i] = (Classifier) classifiers.elementAt(i); } setClassifiers(classifiersArray); super.setOptions(options); } /** * Gets the current settings of the Classifier. * * @return an array of strings suitable for passing to setOptions */ public String [] getOptions() { String [] superOptions = super.getOptions(); int current = 0; String[] options = new String [superOptions.length + m_Classifiers.length * 2]; for (int i = 0; i < m_Classifiers.length; i++) { options[current++] = "-B"; options[current++] = "" + getClassifierSpec(i); } System.arraycopy(superOptions, 0, options, current, superOptions.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 classifiersTipText() { return "The base classifiers to be used."; } /** * Sets the list of possible classifers to choose from. * * @param classifiers an array of classifiers with all options set. */ public void setClassifiers(Classifier [] classifiers) { m_Classifiers = classifiers; } /** * Gets the list of possible classifers to choose from. * * @return the array of Classifiers */ public Classifier [] getClassifiers() { return m_Classifiers; } /** * Gets a single classifier from the set of available classifiers. * * @param index the index of the classifier wanted * @return the Classifier */ public Classifier getClassifier(int index) { return m_Classifiers[index]; } /** * Gets the classifier specification string, which contains the class name of * the classifier and any options to the classifier * * @param index the index of the classifier string to retrieve, starting from * 0. * @return the classifier string, or the empty string if no classifier * has been assigned (or the index given is out of range). */ protected String getClassifierSpec(int index) { if (m_Classifiers.length < index) { return ""; } Classifier c = getClassifier(index); return c.getClass().getName() + " " + Utils.joinOptions(((OptionHandler)c).getOptions()); } /** * Returns combined capabilities of the base classifiers, i.e., the * capabilities all of them have in common. * * @return the capabilities of the base classifiers */ public Capabilities getCapabilities() { Capabilities result; int i; if (getClassifiers().length == 0) { result = new Capabilities(this); result.disableAll(); } else { result = (Capabilities) getClassifier(0).getCapabilities().clone(); for (i = 1; i < getClassifiers().length; i++) result.and(getClassifier(i).getCapabilities()); } // set dependencies for (Capability cap: Capability.values()) result.enableDependency(cap); result.setOwner(this); return result; } }