org.deeplearning4j.earlystopping.trainer.EarlyStoppingTrainer Maven / Gradle / Ivy

Go to download
/*
 *  ******************************************************************************
 *  *
 *  *
 *  * 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.earlystopping.trainer;

import org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator;
import org.deeplearning4j.datasets.iterator.utilty.SingletonDataSetIterator;
import org.deeplearning4j.datasets.iterator.utilty.SingletonMultiDataSetIterator;
import org.deeplearning4j.earlystopping.EarlyStoppingConfiguration;
import org.deeplearning4j.earlystopping.listener.EarlyStoppingListener;
import org.deeplearning4j.nn.conf.MultiLayerConfiguration;
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
import org.nd4j.linalg.dataset.DataSet;
import org.nd4j.linalg.dataset.api.MultiDataSet;
import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;

public class EarlyStoppingTrainer extends BaseEarlyStoppingTrainer {

    private MultiLayerNetwork net;
    private boolean isMultiEpoch = false;


    public EarlyStoppingTrainer(EarlyStoppingConfiguration earlyStoppingConfiguration,
                    MultiLayerConfiguration configuration, DataSetIterator train) {
        this(earlyStoppingConfiguration, new MultiLayerNetwork(configuration), train);
        net.init();
    }

    public EarlyStoppingTrainer(EarlyStoppingConfiguration esConfig, MultiLayerNetwork net,
                    DataSetIterator train) {
        this(esConfig, net, train, null);
    }

    public EarlyStoppingTrainer(EarlyStoppingConfiguration esConfig, MultiLayerNetwork net,
                    DataSetIterator train, EarlyStoppingListener listener) {
        super(esConfig, net, train, null, listener);
        this.net = net;
    }

    @Override
    protected void fit(DataSet ds) {
        net.fit(ds);
    }

    @Override
    protected void fit(MultiDataSet mds) {
        net.fit(mds);
    }

    @Override
    protected void pretrain(DataSet ds) {
        net.pretrain(new SingletonDataSetIterator(ds));
    }

    @Override
    protected void pretrain(MultiDataSet mds) {
        net.pretrain(new MultiDataSetWrapperIterator(new SingletonMultiDataSetIterator(mds)));
    }
}