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Jeff Zhang commented on SPARK-12092: ------------------------------------ Looks like it is been resolved in SPARK-8764 > StringIndexer failing with Unseen label exception on test data > --------------------------------------------------------------- > > Key: SPARK-12092 > URL: https://issues.apache.org/jira/browse/SPARK-12092 > Project: Spark > Issue Type: Bug > Components: MLlib > Affects Versions: 1.5.2 > Reporter: vishnu viswanath > Priority: Minor > > StringIndexer fails with exception > {code} > Caused by: org.apache.spark.SparkException: Unseen label > {code} > StringIndexer which is *fit()* on train data, throws unseen label exception > during *transform()* of test data, if the column in test data is having a > value which was not seen during train stage. > The workaround is to have the train data and test data before fitting the > StringIndexer, which is not always practical. > {code} > org.apache.spark.SparkException: Unseen label: new_value > at > org.apache.spark.ml.feature.StringIndexerModel$$anonfun$4.apply(StringIndexer.scala:139) > at > org.apache.spark.ml.feature.StringIndexerModel$$anonfun$4.apply(StringIndexer.scala:134) > at > org.apache.spark.sql.catalyst.expressions.ScalaUDF$$anonfun$2.apply(ScalaUDF.scala:75) > at > org.apache.spark.sql.catalyst.expressions.ScalaUDF$$anonfun$2.apply(ScalaUDF.scala:74) > at > org.apache.spark.sql.catalyst.expressions.ScalaUDF.eval(ScalaUDF.scala:964) > at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificMutableProjection.apply(Unknown > Source) > at > org.apache.spark.sql.execution.Project$$anonfun$1$$anonfun$apply$2.apply(basicOperators.scala:55) > at > org.apache.spark.sql.execution.Project$$anonfun$1$$anonfun$apply$2.apply(basicOperators.scala:53) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$class.foreach(Iterator.scala:727) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > at > scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) > at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) > at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) > at scala.collection.AbstractIterator.to(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) > at > org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:909) > at > org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:909) > at > org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1850) > at > org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1850) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) > at org.apache.spark.scheduler.Task.run(Task.scala:88) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > {code} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org