/*
* Encog(tm) Core v3.3 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2014 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() {
MLMethod phenotype = this.owner.getCodec().decode(this.genome);
if (phenotype != null) {
double score;
try {
score = this.scoreFunction.calculateScore(phenotype);
} catch(EARuntimeError e) {
score = Double.NaN;
}
genome.setScore(score);
genome.setAdjustedScore(score);
BasicEA.calculateScoreAdjustment(genome, adjusters);
} else {
}
}
}