/*
* 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.example.table;
import com.rapidminer.example.Attribute;
import com.rapidminer.example.ExampleSet;
import com.rapidminer.example.Statistics;
import com.rapidminer.tools.RandomGenerator;
/**
* Create data rows based on random data in the range of the minimum and maximum
* values of the attributes of the given base example set.
*
* @author Ingo Mierswa
* @version $Id: RandomDataRowReader.java,v 2.7 2006/03/21 15:35:39 ingomierswa
* Exp $
*/
public class RandomDataRowReader extends AbstractDataRowReader {
private int size;
private ExampleSet baseExampleSet;
private Attribute[] attributes;
private int counter = 0;
public RandomDataRowReader(ExampleSet baseExampleSet, Attribute[] attributes, int size) {
super(new DataRowFactory(DataRowFactory.TYPE_DOUBLE_ARRAY, '.'));
this.baseExampleSet = baseExampleSet;
this.attributes = attributes;
this.size = size;
}
public boolean hasNext() {
return (counter < size);
}
public DataRow next() {
RandomGenerator random = RandomGenerator.getRandomGenerator(-1);
double[] data = new double[attributes.length];
for (int i = 0; i < data.length; i++) {
double min = baseExampleSet.getStatistics(attributes[i], Statistics.MINIMUM);
double max = baseExampleSet.getStatistics(attributes[i], Statistics.MAXIMUM);
data[i] = random.nextDoubleInRange(min, max);
}
return new DoubleArrayDataRow(data);
}
}