/* * 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.neural.networks.training.anneal; import org.encog.ml.MLRegression; import org.encog.ml.anneal.SimulatedAnnealing; import org.encog.util.EngineArray; /** * Simple class used by the neural simulated annealing. This class is a subclass * of the basic SimulatedAnnealing class. The It is used by the actual * NeuralSimulatedAnnealing class, which subclasses BasicTraining. This class is * mostly necessary due to the fact that NeuralSimulatedAnnealing can't subclass * BOTH SimulatedAnnealing and Train, because multiple inheritance is not * supported. * * @author jheaton * */ public class NeuralSimulatedAnnealingHelper extends SimulatedAnnealing<Double> { /** * The class that this class should report to. */ private NeuralSimulatedAnnealing owner; /** * Constructs this object. * * @param owner * The owner of this class, that recieves all messages. */ public NeuralSimulatedAnnealingHelper( final NeuralSimulatedAnnealing owner) { this.owner = owner; this.setShouldMinimize(this.owner.getCalculateScore().shouldMinimize()); } /** * Used to pass the determineError call on to the parent object. * * @return The error returned by the owner. */ @Override public double calculateScore() { return owner.getCalculateScore().calculateScore( (MLRegression)this.owner.getMethod()); } /** * Used to pass the getArray call on to the parent object. * * @return The array returned by the owner. */ @Override public Double[] getArray() { return EngineArray.doubleToObject(owner.getArray()); } /** * Used to pass the getArrayCopy call on to the parent object. * * @return The array copy created by the owner. */ @Override public Double[] getArrayCopy() { return EngineArray.doubleToObject(owner.getArrayCopy()); } /** * Used to pass the putArray call on to the parent object. * @param array The array. */ @Override public void putArray(final Double[] array) { owner.putArray(EngineArray.objectToDouble(array)); } /** * Call the owner's randomize method. */ @Override public void randomize() { owner.randomize(); } }