Hi All,
I am using the decision tree algorithm and I get the following error. 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)
