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https://issues.apache.org/jira/browse/SPARK-13030?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16178554#comment-16178554
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zhengruifeng commented on SPARK-13030:
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Agree that we create another estimator and rename it `OneHotEncoder` in the
future.
As to the name, I perfer `OneHotEncoderEstimator`, since there are other
encoders handling categorical features.
> 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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