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https://issues.apache.org/jira/browse/SPARK-21285?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-21285:
------------------------------------
Assignee: Apache Spark
> VectorAssembler should report the column name when data type used is not
> supported
> ----------------------------------------------------------------------------------
>
> Key: SPARK-21285
> URL: https://issues.apache.org/jira/browse/SPARK-21285
> Project: Spark
> Issue Type: Improvement
> Components: ML, MLlib
> Affects Versions: 2.1.1
> Reporter: Jacek Laskowski
> Assignee: Apache Spark
> Priority: Minor
>
> Found while answering [Why does LogisticRegression fail with
> “IllegalArgumentException:
> org.apache.spark.ml.linalg.VectorUDT@3bfc3ba7”?|https://stackoverflow.com/q/44844793/1305344]
> on StackOverflow.
> When {{VectorAssembler}} is configured to use columns of unsupported type
> only the type is printed out without the column name(s).
> The column name(s) should be included too.
> {code}
> // label is of StringType type
> val va = new VectorAssembler().setInputCols(Array("bc", "pmi", "label"))
> scala> va.transform(training)
> java.lang.IllegalArgumentException: Data type StringType is not supported.
> at
> org.apache.spark.ml.feature.VectorAssembler$$anonfun$transformSchema$1.apply(VectorAssembler.scala:121)
> at
> org.apache.spark.ml.feature.VectorAssembler$$anonfun$transformSchema$1.apply(VectorAssembler.scala:117)
> at
> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> at
> org.apache.spark.ml.feature.VectorAssembler.transformSchema(VectorAssembler.scala:117)
> at org.apache.spark.ml.PipelineStage.transformSchema(Pipeline.scala:74)
> at
> org.apache.spark.ml.feature.VectorAssembler.transform(VectorAssembler.scala:54)
> ... 48 elided
> {code}
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