/*- * * * Copyright 2015 Skymind,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. * */ package org.deeplearning4j.earlystopping.termination; import java.io.Serializable; /**Interface for termination conditions to be evaluated once per iteration (i.e., once per minibatch). * Used for example to more quickly terminate training, instead of waiting for an epoch to complete before * checking termination conditions. * */ public interface IterationTerminationCondition extends Serializable { /** Initialize the iteration termination condition (sometimes a no-op)*/ void initialize(); /** Should early stopping training terminate at this iteration, based on the score for the last iteration? * return true if training should be terminated immediately, or false otherwise * @param lastMiniBatchScore Score of the last minibatch * @return whether to terminate or not */ boolean terminate(double lastMiniBatchScore); }