/*
* Artificial Intelligence for Humans
* Volume 2: Nature Inspired Algorithms
* Java Version
* http://www.aifh.org
* http://www.jeffheaton.com
*
* Code repository:
* https://github.com/jeffheaton/aifh
*
* Copyright 2014 by Jeff Heaton
*
* 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 com.heatonresearch.aifh.genetic.trees;
import com.heatonresearch.aifh.AIFHError;
import com.heatonresearch.aifh.evolutionary.genome.BasicGenome;
import com.heatonresearch.aifh.evolutionary.genome.Genome;
import com.heatonresearch.aifh.learning.RegressionAlgorithm;
/**
* A tree genome, used for Genetic Programming.
*/
public class TreeGenome extends BasicGenome implements RegressionAlgorithm {
private EvaluateTree evaluator;
private TreeGenomeNode root;
/**
* Constructor.
* @param theEvaluator The evaluator.
*/
public TreeGenome(EvaluateTree theEvaluator) {
this.evaluator = theEvaluator;
}
/**
* {@inheritDoc}
*/
@Override
public void copy(final Genome source) {
this.root = ((TreeGenome) source).getRoot().copy();
}
/**
* {@inheritDoc}
*/
@Override
public int size() {
return root.size();
}
/**
* {@inheritDoc}
*/
@Override
public double[] getLongTermMemory() {
throw new AIFHError("Long term memory not supported, use a genetic trainer.");
}
public TreeGenomeNode getRoot() {
return this.root;
}
public void setRoot(TreeGenomeNode node) {
this.root = node;
}
public EvaluateTree getEvaluator() {
return this.evaluator;
}
/**
* {@inheritDoc}
*/
@Override
public double[] computeRegression(final double[] input) {
double[] result = new double[1];
result[0] = evaluator.evaluate(this.root, input);
return result;
}
}