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https://issues.apache.org/jira/browse/FLINK-31189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Zhipeng Zhang resolved FLINK-31189.
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Resolution: Fixed
Resolved via 560532d99c4330949d4da2c94d0e5228bdfbc9cd on master
> Allow special handle of less frequent values in StringIndexer
> -------------------------------------------------------------
>
> Key: FLINK-31189
> URL: https://issues.apache.org/jira/browse/FLINK-31189
> Project: Flink
> Issue Type: Improvement
> Components: Library / Machine Learning
> Reporter: Fan Hong
> Assignee: Zhipeng Zhang
> Priority: Major
> Labels: pull-request-available
>
> Real-world datasets often contain categorical features with millions of
> distinct values, some of which may only appear a few times. To maximize the
> performance of certain algorithms, it is important to treat these less
> frequent values properly. A popular approach is to put them to a special
> index, as is done in sklearn's OneHotEncoder [1].
>
> [1]
> https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html
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