49 lines
1.7 KiB
Java
49 lines
1.7 KiB
Java
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/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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package org.deeplearning4j.earlystopping.termination;
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import lombok.Data;
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import org.nd4j.shade.jackson.annotation.JsonProperty;
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/** Iteration termination condition for terminating training if the minibatch score exceeds a certain value.
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* This can occur for example with a poorly tuned (too high) learning rate
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*/
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@Data
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public class MaxScoreIterationTerminationCondition implements IterationTerminationCondition {
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private double maxScore;
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public MaxScoreIterationTerminationCondition(@JsonProperty("maxScore") double maxScore) {
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this.maxScore = maxScore;
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}
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@Override
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public void initialize() {
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//no op
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}
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@Override
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public boolean terminate(double lastMiniBatchScore) {
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return lastMiniBatchScore > maxScore || Double.isNaN(lastMiniBatchScore);
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}
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@Override
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public String toString() {
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return "MaxScoreIterationTerminationCondition(" + maxScore + ")";
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}
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}
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