/* * 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; /** * Used by simulated annealing and genetic algorithms to calculate the score * for a machine learning method. 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 method The ML method. * @return The score. */ double calculateScore(MLMethod method); /** * @return True if the goal is to minimize the score. */ boolean shouldMinimize(); /** * @return True, if this score function cannot be done in parallel. */ boolean requireSingleThreaded(); }