org.deeplearning4j.spark.impl.layer

Class IterativeReduceFlatMap

java.lang.Object

org.deeplearning4j.spark.impl.layer.IterativeReduceFlatMap

All Implemented Interfaces:

Serializable, org.apache.spark.api.java.function.FlatMapFunction<Iterator<org.nd4j.linalg.dataset.DataSet>,org.nd4j.linalg.api.ndarray.INDArray>

public class IterativeReduceFlatMap
extends Object
implements org.apache.spark.api.java.function.FlatMapFunction<Iterator<org.nd4j.linalg.dataset.DataSet>,org.nd4j.linalg.api.ndarray.INDArray>

Iterative reduce with flat map using map partitions

Author:

Adam Gibson

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
IterativeReduceFlatMap(String json, org.apache.spark.broadcast.Broadcast<org.nd4j.linalg.api.ndarray.INDArray> params) Pass in json configuration and baseline parameters

Method Summary

Modifier and Type	Method and Description
Iterable<org.nd4j.linalg.api.ndarray.INDArray>	call(Iterator<org.nd4j.linalg.dataset.DataSet> dataSetIterator)

Methods inherited from class java.lang.Object

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

Constructor Detail

IterativeReduceFlatMap

public IterativeReduceFlatMap(String json,
                              org.apache.spark.broadcast.Broadcast<org.nd4j.linalg.api.ndarray.INDArray> params)

Pass in json configuration and baseline parameters

Parameters:

json - json configuration for the network

params - the parameters to use for the network

Method Detail

call

public Iterable<org.nd4j.linalg.api.ndarray.INDArray> call(Iterator<org.nd4j.linalg.dataset.DataSet> dataSetIterator)
                                                    throws Exception

Specified by:

call in interface org.apache.spark.api.java.function.FlatMapFunction<Iterator<org.nd4j.linalg.dataset.DataSet>,org.nd4j.linalg.api.ndarray.INDArray>

Throws:

Exception