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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2024/11/06 23:50:00 UTC

[jira] [Resolved] (SPARK-37178) Add Target Encoding to ml.feature

     [ https://issues.apache.org/jira/browse/SPARK-37178?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-37178.
----------------------------------
    Fix Version/s: 4.0.0
       Resolution: Fixed

Fixed in https://github.com/apache/spark/pull/48347

> Add Target Encoding to ml.feature
> ---------------------------------
>
>                 Key: SPARK-37178
>                 URL: https://issues.apache.org/jira/browse/SPARK-37178
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>    Affects Versions: 3.2.0
>            Reporter: Simon Tao
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 4.0.0
>
>
> Target Encoding is a mechanism of converting categorical features to continues features based on the posterior probability __ calculated from values of the label (target) column.
>  
> Target Encoding can help to improve accuracy of machine learning algorithms when columns with high cardinality are used as features during training phase.



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