/*
* Encog(tm) Core v2.5 - Java Version
* http://www.heatonresearch.com/encog/
* http://code.google.com/p/encog-java/
* Copyright 2008-2010 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.neural.networks.training;
import org.encog.neural.networks.BasicNetwork;
/**
* Used by simulated annealing and genetic algorithms to calculate the score
* for a neural network. This allows networks to be ranked. We may be seeking
* a high or a low score, depending on the value the shouldMinimize
* method returns.
*/
public interface CalculateScore {
/**
* Calculate this network's score.
* @param network The network.
* @return The score.
*/
double calculateScore(BasicNetwork network);
/**
* @return True if the goal is to minimize the score.
*/
boolean shouldMinimize();
}