ParallelScoreTask.java

/*
 * 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.ml.ea.score.parallel;

import java.util.List;

import org.encog.ml.CalculateScore;
import org.encog.ml.MLMethod;
import org.encog.ml.ea.exception.EARuntimeError;
import org.encog.ml.ea.genome.Genome;
import org.encog.ml.ea.score.AdjustScore;
import org.encog.ml.ea.train.basic.BasicEA;

/**
 * An individual threadable task for the parallel score calculation.
 *
 */
public class ParallelScoreTask implements Runnable {

	/**
	 * The genome to calculate the score for.
	 */
	private final Genome genome;
	
	/**
	 * The score function.
	 */
	private final CalculateScore scoreFunction;
	
	/**
	 * The score adjusters.
	 */
	private final List<AdjustScore> adjusters;
	
	/**
	 * The owners.
	 */
	private final ParallelScore owner;

	/**
	 * Construct the parallel task.
	 * @param genome The genome.
	 * @param theOwner The owner.
	 */
	public ParallelScoreTask(Genome genome, ParallelScore theOwner) {
		super();
		this.owner = theOwner;
		this.genome = genome;
		this.scoreFunction = theOwner.getScoreFunction();
		this.adjusters = theOwner.getAdjusters();
	}

	/**
	 * Perform the task.
	 */
	@Override
	public void run() {
		try {
			MLMethod phenotype = this.owner.getCodec().decode(this.genome);

			double score;
			try {
				score = this.scoreFunction.calculateScore(phenotype);
			} catch (EARuntimeError e) {
				score = Double.NaN;
			}
			genome.setScore(score);
			genome.setAdjustedScore(score);
			BasicEA.calculateScoreAdjustment(genome, adjusters);
		} catch(Exception ex) {
			owner.reportError(ex);
		}
	}

}