org.deeplearning4j.spark.earlystopping.SparkLossCalculatorComputationGraph Maven / Gradle / Ivy

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/*
 *
 *  * 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.graph.ComputationGraph;
import org.deeplearning4j.spark.impl.graph.SparkComputationGraph;
import org.nd4j.linalg.dataset.DataSet;
import org.nd4j.linalg.dataset.api.MultiDataSet;

/**
 * Score calculator to calculate the total loss for the {@link ComputationGraph} on that data set (data set
 * as a {@link JavaRDD}), using Spark.

 * Typically used to calculate the loss on a test set.

 * Note: to test a ComputationGraph on a {@link DataSet} use {@link org.deeplearning4j.spark.impl.graph.dataset.DataSetToMultiDataSetFn}
 */
public class SparkLossCalculatorComputationGraph implements ScoreCalculator {

    private JavaRDD 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 SparkLossCalculatorComputationGraph(JavaRDD data, boolean average, SparkContext sc) {
        this.data = data;
        this.average = average;
        this.sc = sc;
    }


    @Override
    public double calculateScore(ComputationGraph network) {
        SparkComputationGraph net = new SparkComputationGraph(sc, network, null);
        return net.calculateScoreMultiDataSet(data, average);
    }

}