/** * 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.generator; import com.rapidminer.example.Attribute; import com.rapidminer.example.Attributes; import com.rapidminer.example.table.AttributeFactory; import com.rapidminer.operator.ports.metadata.AttributeMetaData; import com.rapidminer.operator.ports.metadata.ExampleSetMetaData; import com.rapidminer.operator.ports.metadata.SetRelation; import com.rapidminer.tools.Ontology; import com.rapidminer.tools.RandomGenerator; import com.rapidminer.tools.math.container.Range; /** * A target function for regression labels, i.e. continous numercial labels. * * @author Ingo Mierswa */ public abstract class RegressionFunction implements TargetFunction { private double lower = -10.0d; private double upper = 10.0d; protected int numberOfExamples = 0; protected int numberOfAttributes = 0; /** Does nothing. */ @Override public void init(RandomGenerator random) {} @Override public void setLowerArgumentBound(double lower) { this.lower = lower; } @Override public void setUpperArgumentBound(double upper) { this.upper = upper; } public double getLowerArgumentBound() { return this.lower; } public double getUpperArgumentBound() { return this.upper; } @Override public void setTotalNumberOfExamples(int number) { numberOfExamples = number; } @Override public void setTotalNumberOfAttributes(int number) { numberOfAttributes = number; } @Override public Attribute getLabel() { return AttributeFactory.createAttribute("label", Ontology.REAL); } @Override public double[] createArguments(int dimension, RandomGenerator random) throws FunctionException { double[] args = new double[dimension]; for (int i = 0; i < args.length; i++) { args[i] = random.nextDoubleInRange(lower, upper); } return args; } @Override public ExampleSetMetaData getGeneratedMetaData() { ExampleSetMetaData emd = new ExampleSetMetaData(); // label AttributeMetaData amd = new AttributeMetaData("label", Ontology.REAL, Attributes.LABEL_NAME); amd.setValueRange(new Range(Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY), SetRelation.SUBSET); emd.addAttribute(amd); // attributes for (int i = 0; i < numberOfAttributes; i++) { amd = new AttributeMetaData("att" + (i + 1), Ontology.REAL); amd.setValueRange(new Range(lower, upper), SetRelation.EQUAL); emd.addAttribute(amd); } emd.setNumberOfExamples(numberOfExamples); return emd; } @Override public int getMinNumberOfAttributes() { return 1; } @Override public int getMaxNumberOfAttributes() { return Integer.MAX_VALUE; } }