[jira] [Commented] (SPARK-8418) Add single- and multi-value support to ML Transformers

["Nick Pentreath (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-8418?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16224454#comment-16224454 ] 

Nick Pentreath commented on SPARK-8418:
---------------------------------------

Adding SPARK-13030, since the new version of {{OneHotEncoder}} will also support transforming multiple columns.

> Add single- and multi-value support to ML Transformers
> ------------------------------------------------------
>
>                 Key: SPARK-8418
>                 URL: https://issues.apache.org/jira/browse/SPARK-8418
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML
>            Reporter: Joseph K. Bradley
>
> It would be convenient if all feature transformers supported transforming columns of single values and multiple values, specifically:
> * one column with one value (e.g., type {{Double}})
> * one column with multiple values (e.g., {{Array[Double]}} or {{Vector}})
> We could go as far as supporting multiple columns, but that may not be necessary since VectorAssembler could be used to handle that.
> Estimators under {{ml.feature}} should also support this.
> This will likely require a short design doc to describe:
> * how input and output columns will be specified
> * schema validation
> * code sharing to reduce duplication



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