Simon Tao created SPARK-37178:
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Summary: 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
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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