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https://issues.apache.org/jira/browse/SPARK-4589?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14254002#comment-14254002
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Michael Armbrust commented on SPARK-4589:
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Can you elaborate what you are thinking about? Is this something like:
{code}
def transformColumn[A,B](columnName: String, f: A => B)
{code}
Is there anything else?
> ML add-ons to SchemaRDD
> -----------------------
>
> Key: SPARK-4589
> URL: https://issues.apache.org/jira/browse/SPARK-4589
> Project: Spark
> Issue Type: New Feature
> Components: ML, MLlib, SQL
> Reporter: Xiangrui Meng
>
> One feedback we received from the Pipeline API (SPARK-3530) is about the
> boilerplate code in the implementation. We can add more Scala DSL to simplify
> the code for the operations we need in ML. Those operations could live under
> spark.ml via implicit, or be added to SchemaRDD directly if they are also
> useful for general purpose.
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