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https://issues.apache.org/jira/browse/SPARK-5888?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14493302#comment-14493302
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Apache Spark commented on SPARK-5888:
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User 'sryza' has created a pull request for this issue:
https://github.com/apache/spark/pull/5500

> Add OneHotEncoder as a Transformer
> ----------------------------------
>
>                 Key: SPARK-5888
>                 URL: https://issues.apache.org/jira/browse/SPARK-5888
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML
>            Reporter: Xiangrui Meng
>            Assignee: Sandy Ryza
>
> `OneHotEncoder` takes a categorical column and output a vector column, which 
> stores the category info in binaries.
> {code}
> val ohe = new OneHotEncoder()
>   .setInputCol("countryIndex")
>   .setOutputCol("countries")
> {code}
> It should read the category info from the metadata and assign feature names 
> properly in the output column. We need to discuss the default naming scheme 
> and whether we should let it process multiple categorical columns at the same 
> time.
> One category (the most frequent one) should be removed from the output to 
> make the output columns linear independent. Or this could be an option tuned 
> on by default.



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