/*
* RapidMiner
*
* Copyright (C) 2001-2008 by Rapid-I and the contributors
*
* Complete list of developers available at our web site:
*
* http://rapid-i.com
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero 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 Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see http://www.gnu.org/licenses/.
*/
package com.rapidminer.operator.features;
import com.rapidminer.example.AttributeWeights;
import com.rapidminer.example.ExampleSet;
import com.rapidminer.example.set.AttributeWeightedExampleSet;
import com.rapidminer.operator.IOObject;
import com.rapidminer.operator.Operator;
import com.rapidminer.operator.OperatorDescription;
import com.rapidminer.operator.OperatorException;
/**
* <p>This operator deselects attributes with a weight value of 0.0. The values of
* the other numeric attributes will be recalculated based on the
* weights delivered as {@link AttributeWeights}
* object in the input.</p>
*
* <p>This operator can hardly be used to select a subset of
* features according to weights determined by a former weighting scheme. For this purpose
* the operator
* {@link com.rapidminer.operator.features.selection.AttributeWeightSelection}
* should be used which will select only those attribute fulfilling a specified
* weight relation.</p>
*
* @author Ingo Mierswa
* @version $Id: AttributeWeightsApplier.java,v 2.11 2006/04/14 15:04:22
* ingomierswa Exp $
*/
public class AttributeWeightsApplier extends Operator {
private static final Class[] INPUT_CLASSES = { ExampleSet.class, AttributeWeights.class };
private static final Class[] OUTPUT_CLASSES = { ExampleSet.class };
public AttributeWeightsApplier(OperatorDescription description) {
super(description);
}
public IOObject[] apply() throws OperatorException {
AttributeWeights weights = getInput(AttributeWeights.class);
ExampleSet exampleSet = getInput(ExampleSet.class);
AttributeWeightedExampleSet weightedSet = new AttributeWeightedExampleSet(exampleSet, weights);
ExampleSet result = weightedSet.createCleanClone();
return new IOObject[] { result };
}
public Class<?>[] getInputClasses() {
return INPUT_CLASSES;
}
public Class<?>[] getOutputClasses() {
return OUTPUT_CLASSES;
}
}