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https://issues.apache.org/jira/browse/SPARK-27925?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-27925.
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Resolution: Not A Problem
> Better control numBins of curves in BinaryClassificationMetrics
> ---------------------------------------------------------------
>
> Key: SPARK-27925
> URL: https://issues.apache.org/jira/browse/SPARK-27925
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 3.0.0
> Reporter: zhengruifeng
> Priority: Major
>
> In case of large datasets with tens of thousands of partitions, current curve
> down-sampling method tend to generate much more bins than the value set by
> #numBins.
> Since in current impl, grouping is done within partitions, that is to say,
> each partition contains at least one bin.
> A more reasonable way is to bring the grouping op forward into the sort op,
> then we can directly set the #bins as the #partitions, and regard one
> partition as one bin.
>
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