GitHub user BenFradet opened a pull request:
https://github.com/apache/spark/pull/9885
[SPARK-11902] [ML] Unhandled case in VectorAssembler#transform
There is an unhandled case in the transform method of VectorAssembler if
one of the input columns doesn't have one of the supported type DoubleType,
NumericType, BooleanType or VectorUDT.
So, if you try to transform a column of StringType you get a cryptic
"scala.MatchError: StringType".
This PR aims to fix this, throwing a SparkException when dealing with an
unknown column type.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/BenFradet/spark SPARK-11902
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/9885.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #9885
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commit 1dde1087fd6e02534724b0d4df560686eebcbcc8
Author: BenFradet <[email protected]>
Date: 2015-11-21T13:52:31Z
throwing exception when dealing with an unhandled column type in
VectorAssembler
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