/*
* 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.prg.train;
import org.encog.ml.MLRegression;
import org.encog.ml.data.MLData;
import org.encog.ml.ea.genome.Genome;
import org.encog.ml.ea.population.BasicPopulation;
import org.encog.ml.ea.species.Species;
import org.encog.ml.prg.EncogProgram;
import org.encog.ml.prg.EncogProgramContext;
import org.encog.parse.expression.common.RenderCommonExpression;
/**
* A population that contains EncogProgram's. The primary difference between
* this class and BasicPopulation is that a "compute" method is provided that
* automatically uses the "best" genome to provide a MLRegression compute
* method. This population type also holds the common context that all of the
* EncogProgram genomes make use of.
*/
public class PrgPopulation extends BasicPopulation implements MLRegression {
/**
* The serial id.
*/
private static final long serialVersionUID = 1L;
/**
* The context.
*/
private final EncogProgramContext context;
/**
* Construct the population.
*
* @param theContext
* The context.
* @param thePopulationSize
* The population size.
*/
public PrgPopulation(final EncogProgramContext theContext,
final int thePopulationSize) {
super(thePopulationSize, new PrgGenomeFactory(theContext));
this.context = theContext;
}
/**
* Compute the output from the best Genome. Note: it is not safe to call
* this method while training is progressing.
*
* @param input
* The input to the
*/
@Override
public MLData compute(final MLData input) {
final EncogProgram best = (EncogProgram) getBestGenome();
return best.compute(input);
}
/**
* Dump the specified number of genomes.
*
* @param i
* The specified number of genomes.
*/
public void dumpMembers(final int i) {
final RenderCommonExpression render = new RenderCommonExpression();
int index = 0;
for (final Species species : getSpecies()) {
System.out.println("** Species: " + species.toString());
for (final Genome obj : species.getMembers()) {
final EncogProgram prg = (EncogProgram) obj;
System.out.println(index + ": Score " + prg.getScore() + " : "
+ render.render(prg));
index++;
if (index > i) {
break;
}
}
}
}
/**
* @return The context for the programs.
*/
public EncogProgramContext getContext() {
return this.context;
}
/**
* {@inheritDoc}
*/
@Override
public int getInputCount() {
return getContext().getDefinedVariables().size();
}
/**
* {@inheritDoc}
*/
@Override
public int getOutputCount() {
return 1;
}
}