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https://issues.apache.org/jira/browse/SPARK-13846?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Joseph K. Bradley resolved SPARK-13846.
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Resolution: Fixed
Assignee: Weichen Xu
Fix Version/s: 2.3.0
> VectorIndexer output on unknown feature should be more descriptive
> ------------------------------------------------------------------
>
> Key: SPARK-13846
> URL: https://issues.apache.org/jira/browse/SPARK-13846
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 1.6.1
> Reporter: Dmitry Spikhalskiy
> Assignee: Weichen Xu
> Priority: Minor
> Fix For: 2.3.0
>
>
> I got the exception and looks like it's related to unknown categorical
> variable value passed to indexing.
> java.util.NoSuchElementException: key not found: 20.0
> at scala.collection.MapLike$class.default(MapLike.scala:228)
> at scala.collection.AbstractMap.default(Map.scala:58)
> at scala.collection.MapLike$class.apply(MapLike.scala:141)
> at scala.collection.AbstractMap.apply(Map.scala:58)
> at
> org.apache.spark.ml.feature.VectorIndexerModel$$anonfun$10$$anonfun$apply$4.apply(VectorIndexer.scala:316)
> at
> org.apache.spark.ml.feature.VectorIndexerModel$$anonfun$10$$anonfun$apply$4.apply(VectorIndexer.scala:315)
> at
> scala.collection.immutable.HashMap$HashMap1.foreach(HashMap.scala:224)
> at
> scala.collection.immutable.HashMap$HashTrieMap.foreach(HashMap.scala:403)
> at
> org.apache.spark.ml.feature.VectorIndexerModel$$anonfun$10.apply(VectorIndexer.scala:315)
> at
> org.apache.spark.ml.feature.VectorIndexerModel$$anonfun$10.apply(VectorIndexer.scala:309)
> at
> org.apache.spark.ml.feature.VectorIndexerModel$$anonfun$11.apply(VectorIndexer.scala:351)
> at
> org.apache.spark.ml.feature.VectorIndexerModel$$anonfun$11.apply(VectorIndexer.scala:351)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.evalExpr2$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
> Source)
> at
> org.apache.spark.sql.execution.Project$$anonfun$1$$anonfun$apply$1.apply(basicOperators.scala:51)
> at
> org.apache.spark.sql.execution.Project$$anonfun$1$$anonfun$apply$1.apply(basicOperators.scala:49)
> 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$11.next(Iterator.scala:328)
> at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:149)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> at org.apache.spark.scheduler.Task.run(Task.scala:89)
> at
> org.apache.spark.executor.Executor$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)
> VectorIndexer created like
> val featureIndexer = new VectorIndexer()
> .setInputCol(DataFrameColumns.FEATURES)
> .setOutputCol("indexedFeatures")
> .setMaxCategories(5)
> .fit(trainingDF)
> Output should be not just default java.util.NoSuchElementException, but
> something specific like UnknownCategoricalValue with information, that could
> help to find the source element of vector (element index in vector maybe).
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