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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/06/10 18:11:00 UTC
[jira] [Assigned] (SPARK-31925) Summary.totalIterations greater
than maxIters
[ https://issues.apache.org/jira/browse/SPARK-31925?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-31925:
------------------------------------
Assignee: (was: Apache Spark)
> Summary.totalIterations greater than maxIters
> ---------------------------------------------
>
> Key: SPARK-31925
> URL: https://issues.apache.org/jira/browse/SPARK-31925
> Project: Spark
> Issue Type: Bug
> Components: ML, PySpark
> Affects Versions: 2.4.6, 3.0.0
> Reporter: zhengruifeng
> Priority: Trivial
>
> I am not sure whether it is a bug, but if we set *maxIter=n* in LiR/LiR/etc, the model.summary.totalIterations will return *n+1* if the training procedure does not drop out.
>
> friendly ping [~huaxingao]
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