gistfile1.txt

java.lang.IllegalStateException: Cannot merge examples: features rank must be in range 2 to 4 inclusive. First example features shape: []
	at org.nd4j.linalg.dataset.DataSet.merge(DataSet.java:160) ~[nd4j-api-0.4-rc3.9-SNAPSHOT.jar:na]
	at org.deeplearning4j.spark.impl.multilayer.IterativeReduceFlatMap.call(IterativeReduceFlatMap.java:85) ~[dl4j-spark-0.4-rc3.9-SNAPSHOT.jar:na]
	at org.deeplearning4j.spark.impl.multilayer.IterativeReduceFlatMap.call(IterativeReduceFlatMap.java:49) ~[dl4j-spark-0.4-rc3.9-SNAPSHOT.jar:na]
	at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$5$1.apply(JavaRDDLike.scala:167) ~[spark-core_2.10-1.5.2.jar:1.5.2]
	at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$5$1.apply(JavaRDDLike.scala:167) ~[spark-core_2.10-1.5.2.jar:1.5.2]
	at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:710) ~[spark-core_2.10-1.5.2.jar:1.5.2]
	at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$17.apply(RDD.scala:710) ~[spark-core_2.10-1.5.2.jar:1.5.2]
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) ~[spark-core_2.10-1.5.2.jar:1.5.2]
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) ~[spark-core_2.10-1.5.2.jar:1.5.2]
	at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69) ~[spark-core_2.10-1.5.2.jar:1.5.2]
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:262) ~[spark-core_2.10-1.5.2.jar:1.5.2]
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) ~[spark-core_2.10-1.5.2.jar:1.5.2]
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) ~[spark-core_2.10-1.5.2.jar:1.5.2]
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) ~[spark-core_2.10-1.5.2.jar:1.5.2]
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) ~[spark-core_2.10-1.5.2.jar:1.5.2]
	at org.apache.spark.scheduler.Task.run(Task.scala:88) ~[spark-core_2.10-1.5.2.jar:1.5.2]
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) ~[spark-core_2.10-1.5.2.jar:1.5.2]
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) [na:1.8.0_60]
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) [na:1.8.0_60]
	at java.lang.Thread.run(Thread.java:745) [na:1.8.0_60]