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https://issues.apache.org/jira/browse/SPARK-32139?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Huaxin Gao updated SPARK-32139:
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Description: add classification model summary and training summary to each
of the classification algorithms. The classification model summary basically
gives a summary for all the classification algorithms evaluation metrics such
as accuracy/precision/recall. The training summary describes information about
model training iterations and the objective function (scaled loss +
regularization) at each iteration. These are very useful information for users.
> Unify Classification Training Summary
> -------------------------------------
>
> Key: SPARK-32139
> URL: https://issues.apache.org/jira/browse/SPARK-32139
> Project: Spark
> Issue Type: Improvement
> Components: ML, PySpark
> Affects Versions: 3.1.0
> Reporter: Huaxin Gao
> Priority: Major
>
> add classification model summary and training summary to each of the
> classification algorithms. The classification model summary basically gives a
> summary for all the classification algorithms evaluation metrics such as
> accuracy/precision/recall. The training summary describes information about
> model training iterations and the objective function (scaled loss +
> regularization) at each iteration. These are very useful information for
> users.
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