2023-08-07 10:39:16 +02:00

57 lines
2.0 KiB
Java

/*
* ******************************************************************************
* *
* *
* * 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.
* *
* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
* * 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.optimize.listeners;
import java.io.Serializable;
import lombok.extern.slf4j.Slf4j;
import net.brutex.ai.dnn.api.IModel;
import org.deeplearning4j.optimize.api.BaseTrainingListener;
@Slf4j
public class ScoreIterationListener extends BaseTrainingListener implements Serializable {
private int printIterations = 10;
/**
* @param printIterations frequency with which to print scores (i.e., every printIterations parameter updates)
*/
public ScoreIterationListener(int printIterations) {
this.printIterations = printIterations;
}
/** Default constructor printing every 10 iterations */
public ScoreIterationListener() {}
@Override
public void iterationDone(IModel model, int iteration, int epoch) {
if (printIterations <= 0)
printIterations = 1;
if (iteration % printIterations == 0) {
double score = model.getScore();
log.info("Score at iteration {} is {}", iteration, score);
}
}
@Override
public String toString(){
return "ScoreIterationListener(" + printIterations + ")";
}
}