/* * 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.preprocessing.sampling; import java.util.Random; import com.rapidminer.example.ExampleSet; import com.rapidminer.example.set.MappedExampleSet; import com.rapidminer.operator.OperatorDescription; import com.rapidminer.operator.OperatorException; import com.rapidminer.operator.validation.IteratingPerformanceAverage; /** * This operator constructs a bootstrapped sample from the given example set. That means * that a sampling with replacement will be performed. The usual sample size is the number * of original examples. This operator also offers the possibility to create the inverse * example set, i.e. an example set containing all examples which are not part of the * bootstrapped example set. This inverse example set might be used for a bootstrapped * validation (together with an {@link IteratingPerformanceAverage} operator. * * @author Ingo Mierswa, Martin Scholz * @version $Id: Bootstrapping.java,v 1.3 2008/05/09 19:23:16 ingomierswa Exp $ */ public class Bootstrapping extends AbstractBootstrapping { public Bootstrapping(OperatorDescription description) { super(description); } public int[] createMapping(ExampleSet exampleSet, int size, Random random) throws OperatorException { return MappedExampleSet.createBootstrappingMapping(exampleSet, size, random); } }