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 *  * This program and the accompanying materials are made available under the
 *  * terms of the Apache License, Version 2.0 which is available at
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 *  *  information regarding copyright ownership.
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package org.deeplearning4j.spark.impl.paramavg;

import lombok.Data;
import org.deeplearning4j.core.storage.Persistable;
import org.deeplearning4j.core.storage.StorageMetaData;
import org.deeplearning4j.spark.api.TrainingResult;
import org.deeplearning4j.spark.api.stats.SparkTrainingStats;
import org.nd4j.linalg.api.ndarray.INDArray;

import java.util.Collection;

@Data
public class ParameterAveragingTrainingResult implements TrainingResult {

    private final INDArray parameters;
    private final INDArray updaterState;
    private final double score;
    private SparkTrainingStats sparkTrainingStats;

    private final Collection listenerMetaData;
    private final Collection listenerStaticInfo;
    private final Collection listenerUpdates;


    public ParameterAveragingTrainingResult(INDArray parameters, INDArray updaterState, double score,
                    Collection listenerMetaData, Collection listenerStaticInfo,
                    Collection listenerUpdates) {
        this(parameters, updaterState, score, null, listenerMetaData, listenerStaticInfo, listenerUpdates);
    }

    public ParameterAveragingTrainingResult(INDArray parameters, INDArray updaterState, double score,
                    SparkTrainingStats sparkTrainingStats, Collection listenerMetaData,
                    Collection listenerStaticInfo, Collection listenerUpdates) {
        this.parameters = parameters;
        this.updaterState = updaterState;
        this.score = score;
        this.sparkTrainingStats = sparkTrainingStats;

        this.listenerMetaData = listenerMetaData;
        this.listenerStaticInfo = listenerStaticInfo;
        this.listenerUpdates = listenerUpdates;
    }

    @Override
    public void setStats(SparkTrainingStats sparkTrainingStats) {
        this.sparkTrainingStats = sparkTrainingStats;
    }
}




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