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)