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