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Posted to issues@spark.apache.org by "zhengruifeng (Jira)" <ji...@apache.org> on 2020/02/28 08:56:00 UTC
[jira] [Assigned] (SPARK-30938) BinaryClassificationMetrics
optimization
[ https://issues.apache.org/jira/browse/SPARK-30938?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
zhengruifeng reassigned SPARK-30938:
------------------------------------
Assignee: zhengruifeng
> BinaryClassificationMetrics optimization
> -----------------------------------------
>
> Key: SPARK-30938
> URL: https://issues.apache.org/jira/browse/SPARK-30938
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 3.1.0
> Reporter: zhengruifeng
> Assignee: zhengruifeng
> Priority: Minor
>
> {\{BinaryClassificationMetrics}} tend to fail when \{{grouping=count/numBins}} is too large, due to `Iterator.grouped(size: Int)` need to maintain a arraybuffer of size iterms, however, in \{{BinaryClassificationMetrics}} we do not need to maintain such a big array;
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