// Distributed Decision making system framework
// Copyright (c) 2014, Jordi Coll Corbilla
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
//
// - Redistributions of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
// - Redistributions in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
// - Neither the name of this library nor the names of its contributors may be
// used to endorse or promote products derived from this software without
// specific prior written permission.
//
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package ddm.utils;
import java.util.Random;
/**
*
* @author jordi Corbilla
* DataUtils class to get a random number according to a range.
* This is used for the classifier when choosing the percentage of data to use.
*/
public class DataUtils {
public static int RandomNumber(int minRange, int maxRange) {
Random randomGenerator = new Random();
// get the range, casting to long to avoid overflow problems
long range = (long) maxRange - (long) minRange + 1;
// compute a fraction of the range, 0 <= fraction < range
long fraction = (long) (range * randomGenerator.nextDouble());
return (int) (fraction + minRange);
}
}