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Posted to issues@spark.apache.org by "Huaxin Gao (Jira)" <ji...@apache.org> on 2020/07/28 20:32:00 UTC
[jira] [Updated] (SPARK-32139) Unify Classification Training
Summary
[ https://issues.apache.org/jira/browse/SPARK-32139?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
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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