org.deeplearning4j.spark.impl.multilayer.evaluation

Class IEvaluateFlatMapFunction<T extends IEvaluation>

java.lang.Object

org.datavec.spark.transform.BaseFlatMapFunctionAdaptee<java.util.Iterator<org.nd4j.linalg.dataset.DataSet>,T>

org.deeplearning4j.spark.impl.multilayer.evaluation.IEvaluateFlatMapFunction<T>

All Implemented Interfaces:

java.io.Serializable, org.apache.spark.api.java.function.FlatMapFunction<java.util.Iterator<org.nd4j.linalg.dataset.DataSet>,T>

public class IEvaluateFlatMapFunction<T extends IEvaluation>
extends org.datavec.spark.transform.BaseFlatMapFunctionAdaptee<java.util.Iterator<org.nd4j.linalg.dataset.DataSet>,T>

Function to evaluate data (using an IEvaluation instance), in a distributed manner Flat map function used to batch examples for computational efficiency + reduce number of IEvaluation objects returned for network efficiency.

See Also:

Serialized Form

Field Summary

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

adapter

Constructor Summary

Constructors

Constructor and Description
IEvaluateFlatMapFunction(org.apache.spark.broadcast.Broadcast<java.lang.String> json, org.apache.spark.broadcast.Broadcast<org.nd4j.linalg.api.ndarray.INDArray> params, int evalBatchSize, T evaluation)

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

IEvaluateFlatMapFunction

public IEvaluateFlatMapFunction(org.apache.spark.broadcast.Broadcast<java.lang.String> json,
                                org.apache.spark.broadcast.Broadcast<org.nd4j.linalg.api.ndarray.INDArray> params,
                                int evalBatchSize,
                                T evaluation)