/*
* 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.example.table;
import java.util.List;
import com.rapidminer.example.Attribute;
import com.rapidminer.example.ExampleSet;
import com.rapidminer.example.Statistics;
import com.rapidminer.tools.RandomGenerator;
/**
* This class is used for example sets which should provide random values for
* the given attributes, i.e. each random value lies in the same range as values
* of the given attributes (min and max) of the base example set. Please note that the attributes must
* already have proper minimum and maximum values. The random values are
* constructed by a {@link RandomDataRowReader}.
*
* @author Ingo Mierswa
* Exp $
*/
public class RandomExampleTable extends AbstractExampleTable {
private static final long serialVersionUID = 5675878166499224680L;
private ExampleSet baseExampleSet;
private int size;
public RandomExampleTable(ExampleSet baseExampleSet, List<Attribute> attributes, int size) {
super(attributes);
this.baseExampleSet = baseExampleSet;
this.size = size;
}
public DataRowReader getDataRowReader() {
return new RandomDataRowReader(baseExampleSet, getAttributes(), size);
}
public DataRow getDataRow(int index) {
RandomGenerator random = RandomGenerator.getGlobalRandomGenerator();
double[] data = new double[size];
for (int i = 0; i < data.length; i++) {
double min = baseExampleSet.getStatistics(getAttributes()[i], Statistics.MINIMUM);
double max = baseExampleSet.getStatistics(getAttributes()[i], Statistics.MAXIMUM);
data[i] = random.nextDoubleInRange(min, max);
}
return new DoubleArrayDataRow(data);
}
public int size() {
return size;
}
}