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From "Joseph K. Bradley (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-13030) Change OneHotEncoder to Estimator
Date Mon, 25 Sep 2017 18:07:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-13030?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16179460#comment-16179460
] 

Joseph K. Bradley commented on SPARK-13030:
-------------------------------------------

I agree there are several cases in MLlib of Transformers which should be Estimator/Model pairs,
and that the only solution I've thought of is to create Estimators which produce the current
models, presumably to be renamed for Spark 3.0.

> 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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