attributeweightscaling.java

著名的开源仿真软件yale

/*
 *  YALE - Yet Another Learning Environment
 *  Copyright (C) 2002, 2003
 *      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;

import edu.udo.cs.yale.operator.features.FeatureWeights;
import edu.udo.cs.yale.example.ExampleSet;
import edu.udo.cs.yale.example.Attribute;
import edu.udo.cs.yale.example.AttributeWeightedExampleSet;
import edu.udo.cs.yale.tools.LogService;

import java.io.*;

/** This operator scales the values of each attribute of the input example set with the weights delivers as 
 *  {@link FeatureWeights} object in the input. 
 *
 *  @version $Id: AttributeWeightScaling.java,v 2.1 2003/08/29 00:39:31 mierswa Exp $
 */
public class AttributeWeightScaling extends Operator {

    private static final Class[] INPUT_CLASSES  = { FeatureWeights.class, ExampleSet.class };
    private static final Class[] OUTPUT_CLASSES = { ExampleSet.class };

    /** Writes the attribute set to a file. */
    public IOObject[] apply() throws OperatorException {
	String weightFile      = getParameterAsString("attribute_weight_file"); 
  	FeatureWeights weights = (FeatureWeights)getInput(FeatureWeights.class);
	ExampleSet exampleSet  = (ExampleSet)getInput(ExampleSet.class);
	
	AttributeWeightedExampleSet resultSet = new AttributeWeightedExampleSet(exampleSet);
	for (int i = 0; i < resultSet.getNumberOfAttributes(); i++) {
	    Attribute attribute = resultSet.getAttribute(i);
	    double weight = weights.getWeight(attribute.getName());
	    if (Double.isNaN(weight)) {
		LogService.logMessage("Attribute with name '" + attribute.getName() + "' not known by weights!", 
				      LogService.WARNING);
	    } else {
		resultSet.setWeight(attribute, weight);
	    }
	}

	return new IOObject[] { resultSet.createExampleSet() };
    }

    public Class[] getInputClasses() {  return INPUT_CLASSES;  }
    public Class[] getOutputClasses() { return OUTPUT_CLASSES; }
}