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https://issues.apache.org/jira/browse/SPARK-31218?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17066474#comment-17066474
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CacheCheck edited comment on SPARK-31218 at 3/25/20, 8:37 AM:
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I mean rdd {{counts}} below the lazy val block below {{recallByThreshold}}. It
is used by counts.count() when generating {{binnedCounts}}, and again by
collect() when {{binnedCounts}} generates {{agg}}. So I think {{counts}} should
be persisted, and it can be unpersisted after {{cumulativeCounts}} is persisted.
was (Author: spark_cachecheck):
I mean rdd {{counts}} belong in the lazy val block below {{recallByThreshold}}.
It is used by counts.count() when generating {{binnedCounts}}, and again by
collect() when {{binnedCounts}} generates {{agg}}. So I think {{counts}} should
be persisted, and it can be unpersisted after {{cumulativeCounts}} is persisted.
> counts in BinaryClassificationMetrics should be cached
> ------------------------------------------------------
>
> Key: SPARK-31218
> URL: https://issues.apache.org/jira/browse/SPARK-31218
> Project: Spark
> Issue Type: Improvement
> Components: ML, MLlib
> Affects Versions: 2.4.4, 2.4.5
> Reporter: CacheCheck
> Priority: Major
>
> In mllib.evaluation.BinaryClassifcationMetrics.recallByThreshold(), rdd
> _counts_ should be cached for the following multiple actions will use it.
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