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https://issues.apache.org/jira/browse/SPARK-26506?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-26506.
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Resolution: Cannot Reproduce
There's not enough info here. What's the error? these work in general per
integration tests. Reopen if it can be narrowed down ideally with some kind of
reproduction.
> RegressionMetrics fails in Spark 2.4
> ------------------------------------
>
> Key: SPARK-26506
> URL: https://issues.apache.org/jira/browse/SPARK-26506
> Project: Spark
> Issue Type: Bug
> Components: MLlib
> Affects Versions: 2.4.0
> Environment: Windows using the Anaconda stack running Spark 2.4,
> using Java jdk 1.8.0_181. It may also affect unix when running Spark 2.4,
> not sure because my workplace where I use Spark in unix is still on Spark
> 2.2.
> The bug does not appear cause an error in either 2.3 or 2.2 on either windows
> or unix.
> Reporter: Casey Bennett
> Priority: Major
>
> RegressionMetrics fails in Spark 2.4 when running via Anaconda on a Windows
> machine. A java error comes back saying that "python worker failed to
> connect back". This makes all the evaluation metrics
> ([https://spark.apache.org/docs/2.2.0/mllib-evaluation-metrics.html)]
> unusable for scoring model performance.
> Reverted to Spark 2.3 and did not have this issue, also tested 2.2 and did
> not have this issue. So it appears to be a bug specific to Spark 2.4.
> Likely also affects other evaluation metric types,
> e.g.BinaryClassificationMetrics.
>
>
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