CODEWITHSUNDEEP
apache-sparkapache-spark-mllib
user3803714
user3803714

Reputation: 5389

MLlib: java.lang.UnknownError: no bin was found for continuous variable

I am using the decision tree algorithm and I get the following error. I have more than 500 features. Is that a problem? Any help would be great!

java.lang.UnknownError: no bin was found for continuous variable.
    at org.apache.spark.mllib.tree.DecisionTree$.findBin$1(DecisionTree.scala:492)
    at org.apache.spark.mllib.tree.DecisionTree$.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$Worker.run(ThreadPoolExecutor.java:615)
    at java.lang.Thread.run(Thread.java:744)
14/08/13 16:36:06 ERROR ExecutorUncaughtExceptionHandler: Uncaught exception in thread Thread[Executor task launch worker-0,5,main]
java.lang.UnknownError: no bin was found for continuous variable.
    at org.apache.spark.mllib.tree.DecisionTree$.findBin$1(DecisionTree.scala:492)
    at org.apache.spark.mllib.tree.DecisionTree$.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)

Upvotes: 0

Views: 190

Answers (1)

user3803714
user3803714

Reputation: 5389

It was indeed happening due to unclean input data. Few rows had "NaN" entry for a column. Once we cleaned up that, everything was fine.

Upvotes: 1

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