org.deeplearning4j.spark.api.worker

Class ExecuteWorkerPathMDSFlatMap<R extends TrainingResult>

java.lang.Object

org.datavec.spark.transform.BaseFlatMapFunctionAdaptee<java.util.Iterator<java.lang.String>,R>

org.deeplearning4j.spark.api.worker.ExecuteWorkerPathMDSFlatMap<R>

All Implemented Interfaces:

java.io.Serializable, org.apache.spark.api.java.function.FlatMapFunction<java.util.Iterator<java.lang.String>,R>

public class ExecuteWorkerPathMDSFlatMap<R extends TrainingResult>
extends org.datavec.spark.transform.BaseFlatMapFunctionAdaptee<java.util.Iterator<java.lang.String>,R>

A FlatMapFunction for executing training on serialized DataSet objects, that can be loaded from a path (local or HDFS) that is specified as a String Used in both SparkDl4jMultiLayer and SparkComputationGraph implementations

See Also:

Serialized Form

Field Summary

Fields inherited from class org.datavec.spark.transform.BaseFlatMapFunctionAdaptee

adapter

Constructor Summary

Constructors

Constructor and Description
ExecuteWorkerPathMDSFlatMap(TrainingWorker<R> worker)

Method Summary

Methods inherited from class org.datavec.spark.transform.BaseFlatMapFunctionAdaptee

call

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ExecuteWorkerPathMDSFlatMap

public ExecuteWorkerPathMDSFlatMap(TrainingWorker<R> worker)