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Java example source code file (DataSetLossCalculator.java)

This example Java source code file (DataSetLossCalculator.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

datasetiterator, datasetlosscalculator, override, scorecalculator, string

The DataSetLossCalculator.java Java example source code

package org.deeplearning4j.earlystopping.scorecalc;

import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
import org.deeplearning4j.nn.graph.ComputationGraph;
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
import org.nd4j.linalg.dataset.DataSet;

/** Given a DataSetIterator: calculate the total loss for the model on that data set.
 * Typically used to calculate the loss on a test set.
 * Note: For early stopping on a {@link ComputationGraph} use {@link DataSetLossCalculatorCG}
public class DataSetLossCalculator implements ScoreCalculator<MultiLayerNetwork>{

    private DataSetIterator dataSetIterator;
    private boolean average;

    /**Calculate the score (loss function value) on a given data set (usually a test set)
     * @param dataSetIterator Data set to calculate the score for
     * @param average Whether to return the average (sum of loss / N) or just (sum of loss)
    public DataSetLossCalculator(DataSetIterator dataSetIterator, boolean average) {
        this.dataSetIterator = dataSetIterator;
        this.average = average;

    public double calculateScore(MultiLayerNetwork network) {

        double lossSum = 0.0;
        int exCount = 0;
            DataSet dataSet = dataSetIterator.next();
            if(dataSet==null) break;
            int nEx = dataSet.getFeatureMatrix().size(0);
            lossSum += network.score(dataSet) * nEx;
            exCount += nEx;

        if(average) return lossSum / exCount;
        else return lossSum;

    public String toString(){
        return "DataSetLossCalculator(" + dataSetIterator + ",average="+average+")";

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