/**
* Copyright (C) 2001-2017 by RapidMiner and the contributors
*
* Complete list of developers available at our web site:
*
* http://rapidminer.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.Operator;
import com.rapidminer.operator.OperatorDescription;
import com.rapidminer.operator.OperatorException;
import com.rapidminer.operator.ports.InputPort;
import com.rapidminer.operator.ports.OutputPort;
import com.rapidminer.operator.ports.metadata.ExampleSetPassThroughRule;
import com.rapidminer.operator.ports.metadata.SetRelation;
/**
* <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
*/
public class AttributeWeightsApplier extends Operator {
private final InputPort exampleSetInput = getInputPorts().createPort("example set", ExampleSet.class);
private final InputPort weightsInput = getInputPorts().createPort("weights", AttributeWeights.class);
private final OutputPort exampleSetOutput = getOutputPorts().createPort("example set");
public AttributeWeightsApplier(OperatorDescription description) {
super(description);
getTransformer().addRule(new ExampleSetPassThroughRule(exampleSetInput, exampleSetOutput, SetRelation.SUBSET));
}
@Override
public void doWork() throws OperatorException {
AttributeWeights weights = weightsInput.getData(AttributeWeights.class);
ExampleSet exampleSet = exampleSetInput.getData(ExampleSet.class);
AttributeWeightedExampleSet weightedSet = new AttributeWeightedExampleSet(exampleSet, weights);
ExampleSet result = weightedSet.createCleanClone();
exampleSetOutput.deliver(result);
}
}