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Java example source code file (LocalFileModelSaver.java)

This example Java source code file (LocalFileModelSaver.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

charset, earlystoppingmodelsaver, ioexception, localfilemodelsaver, multilayernetwork, override, string

The LocalFileModelSaver.java Java example source code

package org.deeplearning4j.earlystopping.saver;

import org.apache.commons.io.FileUtils;
import org.apache.commons.io.FilenameUtils;
import org.deeplearning4j.nn.api.Updater;
import org.deeplearning4j.nn.conf.MultiLayerConfiguration;
import org.deeplearning4j.earlystopping.EarlyStoppingModelSaver;
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
import org.deeplearning4j.util.ModelSerializer;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;

import java.io.*;
import java.nio.charset.Charset;
import java.nio.file.Files;
import java.nio.file.Paths;

/** Save the best (and latest/most recent) models learned during early stopping training to the local file system.<br>
 * Instances of this class will save 3 files for best (and optionally, latest) models:<br>
 * (a) The network configuration: bestModelConf.json<br>
 * (b) The network parameters: bestModelParams.bin<br>
 * (c) The network updater: bestModelUpdater.bin<br>
 * <br>
 * NOTE: The model updater is an object that contains the internal state for training features such as AdaGrad, Momentum
 * and RMSProp.<br>
 * The updater is <i>not required to use the network at test time; it is saved in case further training is required.
 * Without saving the updater, any further training would result in the updater being recreated, without the benefit
 * of the history/internal state. This could negatively impact training performance after loading the network.
 *
 * @author Alex Black
 */
public class LocalFileModelSaver implements EarlyStoppingModelSaver<MultiLayerNetwork> {

    private static final String bestFileName = "bestModel.bin";
    private static final String latestFileName = "latestModel.bin";
    private String directory;
    private Charset encoding;

    /**Constructor that uses default character set for configuration (json) encoding
     * @param directory Directory to save networks
     */
    public LocalFileModelSaver(String directory) {
        this(directory, Charset.defaultCharset());
    }

    /**
     * @param directory Directory to save networks
     * @param encoding Character encoding for configuration (json)
     */
    public LocalFileModelSaver(String directory, Charset encoding){
        this.directory = directory;
        this.encoding = encoding;
    }

    @Override
    public void saveBestModel(MultiLayerNetwork net, double score) throws IOException {
        String confOut = FilenameUtils.concat(directory,bestFileName);
        save(net,confOut);
    }

    @Override
    public void saveLatestModel(MultiLayerNetwork net, double score) throws IOException {
        String confOut = FilenameUtils.concat(directory,latestFileName);
        save(net,confOut);
    }

    @Override
    public MultiLayerNetwork getBestModel() throws IOException {
        String confOut = FilenameUtils.concat(directory, bestFileName);
        return load(confOut);
    }

    @Override
    public MultiLayerNetwork getLatestModel() throws IOException {
        String confOut = FilenameUtils.concat(directory, latestFileName);
        return load(confOut);
    }

    private void save(MultiLayerNetwork net, String modelName) throws IOException{
        ModelSerializer.writeModel(net, modelName, true);
    }

    private MultiLayerNetwork load(String modelName) throws IOException {
        MultiLayerNetwork net = ModelSerializer.restoreMultiLayerNetwork(modelName);
        return net;
    }

    @Override
    public String toString(){
        return "LocalFileModelSaver(dir=" + directory + ")";
    }
}

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