/** * 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); } }