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Java example source code file (EarlyStoppingGraphTrainer.java)

This example Java source code file (EarlyStoppingGraphTrainer.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

baseearlystoppingtrainer, cannot, computationgraph, datasetiterator, earlystoppinggraphtrainer, earlystoppinglistener, iearlystoppingtrainer, illegalstateexception, multidatasetiterator, override

The EarlyStoppingGraphTrainer.java Java example source code

/*
 *
 *  * Copyright 2016 Skymind,Inc.
 *  *
 *  *    Licensed under the Apache License, Version 2.0 (the "License");
 *  *    you may not use this file except in compliance with the License.
 *  *    You may obtain a copy of the License at
 *  *
 *  *        http://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.
 *
 */

package org.deeplearning4j.earlystopping.trainer;

import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
import org.deeplearning4j.earlystopping.EarlyStoppingConfiguration;
import org.deeplearning4j.earlystopping.listener.EarlyStoppingListener;
import org.deeplearning4j.nn.graph.ComputationGraph;
import org.nd4j.linalg.dataset.DataSet;
import org.nd4j.linalg.dataset.api.MultiDataSet;
import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;

/**
 * Class for conducting early stopping training locally (single machine).<br>
 * Can be used to train a {@link ComputationGraph}
 */
public class EarlyStoppingGraphTrainer extends BaseEarlyStoppingTrainer<ComputationGraph> {  //implements IEarlyStoppingTrainer {
    private ComputationGraph net;

    /**
     * @param esConfig Configuration
     * @param net Network to train using early stopping
     * @param train DataSetIterator for training the network
     */
    public EarlyStoppingGraphTrainer(EarlyStoppingConfiguration<ComputationGraph> esConfig, ComputationGraph net,
                                     DataSetIterator train) {
        this(esConfig, net, train, null);
    }

    /**Constructor for training using a {@link DataSetIterator}
     * @param esConfig Configuration
     * @param net Network to train using early stopping
     * @param train DataSetIterator for training the network
     * @param listener Early stopping listener. May be null.
     */
    public EarlyStoppingGraphTrainer(EarlyStoppingConfiguration<ComputationGraph> esConfig, ComputationGraph net,
                                     DataSetIterator train, EarlyStoppingListener<ComputationGraph> listener) {
        super(esConfig, net, train, null, listener);
        if (net.getNumInputArrays() != 1 || net.getNumOutputArrays() != 1) throw new IllegalStateException(
                "Cannot do early stopping training on ComputationGraph with DataSetIterator: graph does not have 1 input and 1 output array");
        this.net = net;
    }

    /**Constructor for training using a {@link MultiDataSetIterator}
     * @param esConfig Configuration
     * @param net Network to train using early stopping
     * @param train DataSetIterator for training the network
     * @param listener Early stopping listener. May be null.
     */
    public EarlyStoppingGraphTrainer(EarlyStoppingConfiguration<ComputationGraph> esConfig, ComputationGraph net,
                                     MultiDataSetIterator train, EarlyStoppingListener<ComputationGraph> listener) {
        super(esConfig, net, null, train, listener);
        this.net = net;
    }

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

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

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