[jira] [Commented] (SPARK-13030) Change OneHotEncoder to Estimator

["Bago Amirbekian (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-13030?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16193389#comment-16193389 ] 

Bago Amirbekian commented on SPARK-13030:
-----------------------------------------

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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