interactiveattributeweighting.java

一个很好的LIBSVM的JAVA源码。对于要研究和改进SVM算法的学者。可以参考。来自数据挖掘工具YALE工具包。

/*
 *  YALE - Yet Another Learning Environment
 *  Copyright (C) 2001-2004
 *      Simon Fischer, Ralf Klinkenberg, Ingo Mierswa, 
 *          Katharina Morik, Oliver Ritthoff
 *      Artificial Intelligence Unit
 *      Computer Science Department
 *      University of Dortmund
 *      44221 Dortmund,  Germany
 *  email: [e-mail]
 *  web:   http://yale.cs.uni-dortmund.de/
 *
 *  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., 59 Temple Place, Suite 330, Boston, MA 02111-1307
 *  USA.
 */
package edu.udo.cs.yale.operator.features.weighting;

import edu.udo.cs.yale.operator.Operator;
import edu.udo.cs.yale.operator.IOObject;
import edu.udo.cs.yale.operator.MissingIOObjectException;
import edu.udo.cs.yale.operator.OperatorException;
import edu.udo.cs.yale.example.AttributeWeights;
import edu.udo.cs.yale.example.ExampleSet;
import edu.udo.cs.yale.gui.AttributeWeightsDialog;
import edu.udo.cs.yale.tools.LogService;

/** This operator shows a window with the currently used attribute weights and allows users to change the
 *  weight interactively. 
 * 
 *  @version $Id: InteractiveAttributeWeighting.java,v 1.3 2004/08/27 11:57:37 ingomierswa Exp $
 */
public class InteractiveAttributeWeighting extends Operator {
    
    public IOObject[] apply() throws OperatorException {
	AttributeWeights weights = null;
	try {
	    weights = (AttributeWeights)getInput(AttributeWeights.class);
	} catch (MissingIOObjectException e) {
	    LogService.logMessage(getName() + ": No feature weights found in input. Trying to find an example set...", LogService.TASK);
	    weights = new AttributeWeights();
	    ExampleSet exampleSet = null;
	    try {
		exampleSet = (ExampleSet)getInput(ExampleSet.class, false);
		for (int i = 0; i < exampleSet.getNumberOfAttributes(); i++) {
		    weights.setWeight(exampleSet.getAttribute(i).getName(), 1.0d);
		}
		LogService.logMessage(getName() + ": ExampleSet found! Initially all attributes will be used with weight 1.", LogService.TASK);
	    } catch (MissingIOObjectException mioe) {
		LogService.logMessage(getName() + ": No examples found! Starting dialog without any weights.", LogService.TASK);
	    }
	}
	
	AttributeWeightsDialog attributeWeightsDialog = new AttributeWeightsDialog(weights);
	attributeWeightsDialog.show();
	
	if (attributeWeightsDialog.isOk()) {
	    weights = attributeWeightsDialog.getAttributeWeights();
	}

	return new IOObject[] { weights };
    }

    public Class[] getInputClasses() { return new Class[0]; }
    public Class[] getOutputClasses() { return new Class[] { AttributeWeights.class}; }
}