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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2016/03/02 01:22:18 UTC
[jira] [Commented] (SPARK-13030) Change OneHotEncoder to Estimator
[ https://issues.apache.org/jira/browse/SPARK-13030?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15174685#comment-15174685 ]
Joseph K. Bradley commented on SPARK-13030:
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I agree this is an issue, but I think we need to keep the same number of categories between training & test. A reasonable fix might be to add an option for creating an additional "unknown" bucket during training, and putting all new categories into this bucket during testing.
> 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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