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https://issues.apache.org/jira/browse/SPARK-32428?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-32428:
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Assignee: (was: Apache Spark)
> [EXAMPLES] Make BinaryClassificationMetricsExample consistently print the
> metrics on driver's stdout
> ----------------------------------------------------------------------------------------------------
>
> Key: SPARK-32428
> URL: https://issues.apache.org/jira/browse/SPARK-32428
> Project: Spark
> Issue Type: Improvement
> Components: Examples
> Affects Versions: 2.4.6, 3.0.0
> Reporter: Itsuki Toyota
> Priority: Trivial
>
> Some RDDs in this example (e.g., precision, recall) call println without
> calling collect.
> If the job is under local mode, it sends the data to the driver node and
> prints the metrics on the driver's stdout.
> However if the job is under cluster mode, the job prints the metrics on the
> executor's stdout.
> It seems inconsistent compared to the other metrics nothing to do with RDD
> (e.g., auPRC, auROC) since these metrics always output the result on the
> driver's stdout.
> All of the metrics should output its result on the driver's stdout.
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