TreeGenome.java

/*
 * 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;
    }
}