Hi All,My dataset is fairly small -- a CSV file with around half million rows
and 600 features. Everything works when I set maximum depth of the decision
tree to 5 or 6. However, I get this error for larger values of that parameter
-- For example when I set it to 10. Have others encountered a similar issue?
14/08/20 10:27:26 INFO TaskSetManager: Serialized task 5.0:390 as 400933 bytes
in 1 ms14/08/20 10:27:26 WARN TaskSetManager: Lost TID 1194 (task
5.0:399)14/08/20 10:27:26 WARN TaskSetManager: Loss was due to
java.lang.ArrayIndexOutOfBoundsExceptionjava.lang.ArrayIndexOutOfBoundsException:
178 at org.apache.spark.mllib.linalg.DenseVector.apply(Vectors.scala:163)
at org.apache.spark.mllib.tree.DecisionTree$.findBin$1(DecisionTree.scala:444)
at
org.apache.spark.mllib.tree.DecisionTree$.org$apache$spark$mllib$tree$DecisionTree$$findBinsForLevel$1(DecisionTree.scala:529)
at
org.apache.spark.mllib.tree.DecisionTree$$anonfun$3.apply(DecisionTree.scala:653)
at
org.apache.spark.mllib.tree.DecisionTree$$anonfun$3.apply(DecisionTree.scala:653)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) at
scala.collection.Iterator$class.foreach(Iterator.scala:727) at
scala.collection.AbstractIterator.foreach(Iterator.scala:1157) at
scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:144) at
scala.collection.AbstractIterator.foldLeft(Iterator.scala:1157) at
scala.collection.TraversableOnce$class.aggregate(TraversableOnce.scala:201) at
scala.collection.AbstractIterator.aggregate(Iterator.scala:1157) at
org.apache.spark.rdd.RDD$$anonfun$21.apply(RDD.scala:838) at
org.apache.spark.rdd.RDD$$anonfun$21.apply(RDD.scala:838) at
org.apache.spark.SparkContext$$anonfun$23.apply(SparkContext.scala:1116) at
org.apache.spark.SparkContext$$anonfun$23.apply(SparkContext.scala:1116) at
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111) at
org.apache.spark.scheduler.Task.run(Task.scala:51) at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187) at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:744)
