/*
* Encog(tm) Core v3.4 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2016 Heaton Research, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.mathutil.randomize;
/**
* A randomizer that distorts what is already present in the neural network.
*
* @author jheaton
*
*/
public class Distort extends BasicRandomizer {
/**
* The factor to use to distort the numbers.
*/
private final double factor;
/**
* Construct a distort randomizer for the specified factor.
*
* @param factor
* The randomizer factor.
*/
public Distort(final double factor) {
this.factor = factor;
}
/**
* Distort the random number by the factor that was specified in the
* constructor.
*
* @param d
* The number to distort.
* @return The result.
*/
public double randomize(final double d) {
return d + (this.factor - (nextDouble() * this.factor * 2));
}
}