/*
* RapidMiner
*
* Copyright (C) 2001-2011 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 java.util.HashSet;
import java.util.Set;
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 classification labels, i.e. non-continous nominal
* labels.
*
* @author Ingo Mierswa
*/
public abstract class ClassificationFunction implements TargetFunction {
protected double lower = -10.0d;
protected double upper = 10.0d;
private int numberOfExamples = 0;
private int numberOfAttributes = 0;
Attribute label = AttributeFactory.createAttribute("label", Ontology.BINOMINAL);
public ClassificationFunction() {
label.getMapping().mapString("negative");
label.getMapping().mapString("positive");
}
/** Does nothing. */
public void init(RandomGenerator random) {}
public void setTotalNumberOfExamples(int number) {
numberOfExamples = number;
}
public int getTotalNumberOfExamples() {
return numberOfExamples;
}
public void setTotalNumberOfAttributes(int number) {
numberOfAttributes = number;
}
public int getTotalNumberOfAttributes() {
return numberOfAttributes;
}
public void setLowerArgumentBound(double lower) {
this.lower = lower;
}
public void setUpperArgumentBound(double upper) {
this.upper = upper;
}
public Attribute getLabel() {
return label;
}
public double[] createArguments(int dimension, RandomGenerator random) {
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.BINOMINAL, Attributes.LABEL_NAME);
Set<String> valueSet = new HashSet<String>();
valueSet.add("negative");
valueSet.add("positive");
amd.setValueSet(valueSet, SetRelation.EQUAL);
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;
}
}