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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2019/01/08 02:39:00 UTC
[jira] [Updated] (SPARK-24464) Unit tests for MLlib's
Instrumentation
[ https://issues.apache.org/jira/browse/SPARK-24464?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-24464:
------------------------------
Target Version/s: (was: 2.4.0)
> Unit tests for MLlib's Instrumentation
> --------------------------------------
>
> Key: SPARK-24464
> URL: https://issues.apache.org/jira/browse/SPARK-24464
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 2.3.0
> Reporter: Xiangrui Meng
> Priority: Major
>
> We added Instrumentation to MLlib to log params and metrics during machine learning training and inference. However, the code has zero test coverage, which usually means bugs and regressions in the future. I created this JIRA to discuss how we should test Instrumentation.
> cc: [~thunterdb] [~josephkb] [~lu.DB]
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