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Java example source code file (SparkEarlyStoppingGraphTrainer.java)

This example Java source code file (SparkEarlyStoppingGraphTrainer.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

basesparkearlystoppingtrainer, computationgraph, datasettomultidatasetfn, earlystoppingconfiguration, earlystoppinglistener, javardd, javasparkcontext, override, sparkcomputationgraph, sparkearlystoppinggraphtrainer, trainingmaster

The SparkEarlyStoppingGraphTrainer.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.apache.spark.api.java.JavaSparkContext;
import org.deeplearning4j.earlystopping.EarlyStoppingConfiguration;
import org.deeplearning4j.earlystopping.listener.EarlyStoppingListener;
import org.deeplearning4j.nn.graph.ComputationGraph;
import org.deeplearning4j.spark.api.TrainingMaster;
import org.deeplearning4j.spark.impl.graph.SparkComputationGraph;
import org.deeplearning4j.spark.impl.graph.dataset.DataSetToMultiDataSetFn;
import org.nd4j.linalg.dataset.DataSet;
import org.nd4j.linalg.dataset.api.MultiDataSet;

/**
 * Class for conducting early stopping training via Spark on a ComputationGraph
 *
 * @author Alex Black
 */
public class SparkEarlyStoppingGraphTrainer extends BaseSparkEarlyStoppingTrainer<ComputationGraph> {

    private SparkComputationGraph sparkNet;

    public SparkEarlyStoppingGraphTrainer(SparkContext sc, TrainingMaster trainingMaster, EarlyStoppingConfiguration<ComputationGraph> esConfig, ComputationGraph net,
                                          JavaRDD<MultiDataSet> train, int examplesPerFit, int totalExamples) {
        this(new JavaSparkContext(sc), trainingMaster, esConfig, net, train, null);
    }

    public SparkEarlyStoppingGraphTrainer(JavaSparkContext sc, TrainingMaster trainingMaster, EarlyStoppingConfiguration<ComputationGraph> esConfig, ComputationGraph net,
                                          JavaRDD<MultiDataSet> train, int examplesPerFit, int totalExamples) {
        this(sc, trainingMaster, esConfig, net, train, null);
    }

    public SparkEarlyStoppingGraphTrainer(SparkContext sc, TrainingMaster trainingMaster, EarlyStoppingConfiguration<ComputationGraph> esConfig, ComputationGraph net,
                                          JavaRDD<MultiDataSet> train) {
        this(new JavaSparkContext(sc), trainingMaster, esConfig, net, train, null);
    }

    public SparkEarlyStoppingGraphTrainer(JavaSparkContext sc, TrainingMaster trainingMaster, EarlyStoppingConfiguration<ComputationGraph> esConfig, ComputationGraph net,
                                          JavaRDD<MultiDataSet> train) {
        this(sc, trainingMaster, esConfig, net, train, null);
    }

    public SparkEarlyStoppingGraphTrainer(JavaSparkContext sc, TrainingMaster trainingMaster, EarlyStoppingConfiguration<ComputationGraph> esConfig, ComputationGraph net,
                                          JavaRDD<MultiDataSet> train, EarlyStoppingListener listener) {
        super(sc, esConfig, net, null, train, listener);
        this.sparkNet = new SparkComputationGraph(sc, net, trainingMaster);
    }


    @Override
    protected void fit(JavaRDD<DataSet> data) {
        fitMulti(data.map(new DataSetToMultiDataSetFn()));
    }

    @Override
    protected void fitMulti(JavaRDD<MultiDataSet> data) {
        sparkNet.fitMultiDataSet(data);
    }

    @Override
    protected double getScore() {
        return sparkNet.getScore();
    }
}

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