/* * 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.generator; import com.rapidminer.example.Attribute; import com.rapidminer.example.table.AttributeFactory; import com.rapidminer.tools.Ontology; import com.rapidminer.tools.RandomGenerator; /** Generates a gaussian distribution for all attributes. * * @author Ingo Mierswa * @version $Id: GaussianFunction.java,v 1.3 2008/05/09 19:22:50 ingomierswa Exp $ */ public class GaussianFunction implements TargetFunction { private double bound = 10.0d; /** Does nothing. */ public void init(RandomGenerator random) {} /** Does nothing. */ public void setTotalNumberOfExamples(int number) {} /** Does nothing. */ public void setTotalNumberOfAttributes(int number) {} /** Since circles are used the upper and lower bounds must be the same. */ public void setLowerArgumentBound(double lower) { this.bound = Math.max(this.bound, Math.abs(lower)); } public void setUpperArgumentBound(double upper) { this.bound = Math.max(this.bound, Math.abs(upper)); } public Attribute getLabel() { return AttributeFactory.createAttribute("label", Ontology.REAL); } public double calculate(double[] att) throws FunctionException { return 0.0d; } public double[] createArguments(int number, RandomGenerator random) throws FunctionException { double[] args = new double[number]; for (int i = 0; i < args.length; i++) args[i] = random.nextGaussian() * bound; return args; } }