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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2019/06/01 13:34:00 UTC
[jira] [Assigned] (SPARK-27847) One-Pass MultilabelMetrics &
MulticlassMetrics
[ https://issues.apache.org/jira/browse/SPARK-27847?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen reassigned SPARK-27847:
---------------------------------
Assignee: zhengruifeng
> One-Pass MultilabelMetrics & MulticlassMetrics
> ----------------------------------------------
>
> Key: SPARK-27847
> URL: https://issues.apache.org/jira/browse/SPARK-27847
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 3.0.0
> Reporter: zhengruifeng
> Assignee: zhengruifeng
> Priority: Minor
>
> In MultilabelMetrics, one sperate pass is needed to compute:
> {color:#93a6f5}numDocs/numLabels/{color}{color:#93a6f5}subsetAccuracy/accuracy/hammingLoss/precision/recall/f1Measure/{color}{color:#93a6f5}tpPerClass/fpPerClass/fpPerClass/fnPerClass{color}
>
> And In MulticlassMetrics, one sperate pass is needed to compute:
> {color:#93a6f5}labelCountByClass{color}{color:#93a6f5}/tpByClass/{color}{color:#93a6f5}fpByClass/confusions{color}
>
> however, all above intermeidate metrics can be computed at once.
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