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Java example source code file (DataSetLossCalculatorCG.java)

This example Java source code file (DataSetLossCalculatorCG.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, datasetlosscalculatorcg, multidataset, multidatasetiterator, override, scorecalculator, string

The DataSetLossCalculatorCG.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.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;
import org.nd4j.linalg.dataset.api.MultiDataSet;
import org.nd4j.linalg.dataset.api.iterator.MultiDataSetIterator;

/** Given a DataSetIterator: calculate the total loss for the model on that data set.
 * Typically used to calculate the loss on a test set.
 */
public class DataSetLossCalculatorCG implements ScoreCalculator<ComputationGraph>{

    private DataSetIterator dataSetIterator;
    private MultiDataSetIterator multiDataSetIterator;
    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 DataSetLossCalculatorCG(DataSetIterator dataSetIterator, boolean average) {
        this.dataSetIterator = dataSetIterator;
        this.average = 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 DataSetLossCalculatorCG(MultiDataSetIterator dataSetIterator, boolean average) {
        this.multiDataSetIterator = dataSetIterator;
        this.average = average;
    }

    @Override
    public double calculateScore(ComputationGraph network) {
        double lossSum = 0.0;
        int exCount = 0;

        if(dataSetIterator != null){
            dataSetIterator.reset();

            while(dataSetIterator.hasNext()){
                DataSet dataSet = dataSetIterator.next();
                int nEx = dataSet.getFeatureMatrix().size(0);
                lossSum += network.score(dataSet) * nEx;
                exCount += nEx;
            }
        } else {
            multiDataSetIterator.reset();

            while(multiDataSetIterator.hasNext()){
                MultiDataSet dataSet = multiDataSetIterator.next();
                int nEx = dataSet.getFeatures(0).size(0);
                lossSum += network.score(dataSet) * nEx;
                exCount += nEx;
            }
        }

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

    @Override
    public String toString(){
        return "DataSetLossCalculatorCG(" + dataSetIterator + ",average="+average+")";
    }
}

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