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https://issues.apache.org/jira/browse/SPARK-13030?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16193389#comment-16193389
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Bago Amirbekian commented on SPARK-13030:
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Just so I'm clear, does multi-column in this context mean apply one-hot-encoder
to each column and then join the resulting vectors?
How do you all feel about giving the new OneHotEncoder the same `handleInvalid`
semantics as StringIndexer?
> Change OneHotEncoder to Estimator
> ---------------------------------
>
> Key: SPARK-13030
> URL: https://issues.apache.org/jira/browse/SPARK-13030
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 1.6.0
> Reporter: Wojciech Jurczyk
>
> OneHotEncoder should be an Estimator, just like in scikit-learn
> (http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html).
> In its current form, it is impossible to use when number of categories is
> different between training dataset and test dataset.
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