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

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

    [ https://issues.apache.org/jira/browse/SPARK-13030?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16175833#comment-16175833 ] 

zhengruifeng commented on SPARK-13030:
--------------------------------------

I approve that one-hot encoder should be a estimtor, and this maybe somewhat a bug.
I am a heavy user of Spark and MLLib, but I rarely use `ML.OneHotEncoder` and have to impl it myself.
Is there any plan? What about deprecating it now and make a break change in the future.



> 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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