Casey Bennett created SPARK-26506:
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Summary: 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
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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