[jira] [Assigned] (SPARK-21685) Params isSet in scala Transformer triggered by _setDefault in pyspark

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-21685?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-21685:
------------------------------------

    Assignee:     (was: Apache Spark)

> Params isSet in scala Transformer triggered by _setDefault in pyspark
> ---------------------------------------------------------------------
>
>                 Key: SPARK-21685
>                 URL: https://issues.apache.org/jira/browse/SPARK-21685
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 2.1.0
>            Reporter: Ratan Rai Sur
>
> I'm trying to write a PySpark wrapper for a Transformer whose transform method includes the line
> {code:java}
> require(!(isSet(outputNodeName) && isSet(outputNodeIndex)), "Can't set both outputNodeName and outputNodeIndex")
> {code}
> This should only throw an exception when both of these parameters are explicitly set.
> In the PySpark wrapper for the Transformer, there is this line in ___init___
> {code:java}
> self._setDefault(outputNodeIndex=0)
> {code}
> Here is the line in the main python script showing how it is being configured
> {code:java}
> cntkModel = CNTKModel().setInputCol("images").setOutputCol("output").setModelLocation(spark, model.uri).setOutputNodeName("z")
> {code}
> As you can see, only setOutputNodeName is being explicitly set but the exception is still being thrown.
> If you need more context, https://github.com/RatanRSur/mmlspark/tree/default-cntkmodel-output is the branch with the code, the files I'm referring to here that are tracked are the following:
> src/cntk-model/src/main/scala/CNTKModel.scala
> notebooks/tests/301 - CIFAR10 CNTK CNN Evaluation.ipynb
> The pyspark wrapper code is autogenerated



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