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https://issues.apache.org/jira/browse/SPARK-8418?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14903350#comment-14903350
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Joseph K. Bradley commented on SPARK-8418:
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New idea: We could allow transformers to leverage RFormula. That might be the
nicest way to specify a bunch of columns and leverage existing code for
assembling them.
> 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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