53 lines
1.8 KiB
Java
53 lines
1.8 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 lombok.NoArgsConstructor;
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import org.nd4j.shade.jackson.annotation.JsonCreator;
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import org.nd4j.shade.jackson.annotation.JsonProperty;
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/** Terminate training if the number of epochs exceeds the maximum number of epochs */
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@NoArgsConstructor
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@Data
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public class MaxEpochsTerminationCondition implements EpochTerminationCondition {
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@JsonProperty
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private int maxEpochs;
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@JsonCreator
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public MaxEpochsTerminationCondition(int maxEpochs) {
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if (maxEpochs <= 0)
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throw new IllegalArgumentException("Max number of epochs must be >= 1");
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this.maxEpochs = maxEpochs;
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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(int epochNum, double score, boolean minimize) {
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return epochNum + 1 >= maxEpochs; //epochNum starts at 0
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}
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@Override
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public String toString() {
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return "MaxEpochsTerminationCondition(" + maxEpochs + ")";
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}
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}
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