[ https://issues.apache.org/jira/browse/SPARK-37178?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17436844#comment-17436844 ]
Apache Spark commented on SPARK-37178: -------------------------------------- User 'taosiyuan163' has created a pull request for this issue: https://github.com/apache/spark/pull/34457 > 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 > > 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. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org