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2019-06-06 15:21:15 +03:00
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
package org.deeplearning4j.earlystopping.termination;
import lombok.Data;
import org.nd4j.shade.jackson.annotation.JsonProperty;
/** Iteration termination condition for terminating training if the minibatch score exceeds a certain value.
* This can occur for example with a poorly tuned (too high) learning rate
*/
@Data
public class MaxScoreIterationTerminationCondition implements IterationTerminationCondition {
private double maxScore;
public MaxScoreIterationTerminationCondition(@JsonProperty("maxScore") double maxScore) {
this.maxScore = maxScore;
}
@Override
public void initialize() {
//no op
}
@Override
public boolean terminate(double lastMiniBatchScore) {
return lastMiniBatchScore > maxScore || Double.isNaN(lastMiniBatchScore);
}
@Override
public String toString() {
return "MaxScoreIterationTerminationCondition(" + maxScore + ")";
}
}