StatsListener怎么使用

本篇内容介绍了"StatsListener怎么使用"的有关知识，在实际案例的操作过程中，不少人都会遇到这样的困境，接下来就让小编带领大家学习一下如何处理这些情况吧！希望大家仔细阅读，能够学有所成！

import org.deeplearning4j.api.storage.StatsStorage;import org.deeplearning4j.examples.userInterface.util.UIExampleUtils;import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;import org.deeplearning4j.optimize.listeners.ScoreIterationListener;import org.deeplearning4j.ui.api.UIServer;import org.deeplearning4j.ui.stats.StatsListener;import org.deeplearning4j.ui.storage.FileStatsStorage;import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;import java.io.File;/** * A version of UIStorageExample showing how to saved network training data to a file, and then * reload it later, to display in in the UI * * @author Alex Black */public class UIStorageExample {    public static void main(String[] args){        //Run this example twice - once with collectStats = true, and then again with collectStats = false        boolean collectStats = true;        if(collectStats){            //First run: Collect training stats from the network            //Note that we don't have to actually plot it when we collect it - though we can do that too, if required            MultiLayerNetwork net = UIExampleUtils.getMnistNetwork();            DataSetIterator trainData = UIExampleUtils.getMnistData();            StatsStorage statsStorage = new FileStatsStorage(new File(System.getProperty("java.io.tmpdir"), "ui-stats.dl4j"));            net.setListeners(new StatsListener(statsStorage), new ScoreIterationListener(10));            net.fit(trainData);            System.out.println("Done");        } else {            //Second run: Load the saved stats and visualize. Go to http://localhost:9000/train            StatsStorage statsStorage = new FileStatsStorage(new File(System.getProperty("java.io.tmpdir"), "ui-stats.dl4j"));            UIServer uiServer = UIServer.getInstance();            uiServer.attach(statsStorage);        }    }}

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