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Java example source code file (SparkDataSetLossCalculator.java)

This example Java source code file (SparkDataSetLossCalculator.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.

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Java - Java tags/keywords

javardd, override, scorecalculator, sparkcontext, sparkdatasetlosscalculator, sparkdl4jmultilayer

The SparkDataSetLossCalculator.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.spark.earlystopping;

import org.apache.spark.SparkContext;
import org.apache.spark.api.java.JavaRDD;
import org.deeplearning4j.earlystopping.scorecalc.ScoreCalculator;
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
import org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer;
import org.nd4j.linalg.dataset.DataSet;

/** Score calculator to calculate the total loss for the {@link MultiLayerNetwork} on that data set (data set
 * as a {@link JavaRDD<DataSet>}), using Spark.
 * Typically used to calculate the loss on a test set.
public class SparkDataSetLossCalculator implements ScoreCalculator<MultiLayerNetwork> {

    private JavaRDD<DataSet> data;
    private boolean average;
    private SparkContext sc;

    /**Calculate the score (loss function value) on a given data set (usually a test set)
     * @param data Data set to calculate the score for
     * @param average Whether to return the average (sum of loss / N) or just (sum of loss)
    public SparkDataSetLossCalculator(JavaRDD<DataSet> data, boolean average, SparkContext sc) {
        this.data = data;
        this.average = average;
        this.sc = sc;

    public double calculateScore(MultiLayerNetwork network) {

        SparkDl4jMultiLayer net = new SparkDl4jMultiLayer(sc,network,null);
        return net.calculateScore(data,average);


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