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  1. Spark
  2. SPARK-26506

RegressionMetrics fails in Spark 2.4

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    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Major
    • Resolution: Cannot Reproduce
    • Affects Version/s: 2.4.0
    • Fix Version/s: None
    • Component/s: MLlib
    • Labels:
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    • Environment:

      Description

      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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            • Assignee:
              Unassigned
              Reporter:
              fox3c Casey Bennett
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                Updated:
                Resolved: