[
https://issues.apache.org/jira/browse/SPARK-28736?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-28736.
----------------------------------
Resolution: Fixed
Fix Version/s: 3.0.0
Issue resolved by pull request 25475
[https://github.com/apache/spark/pull/25475]
> pyspark.mllib.clustering fails on JDK11
> ---------------------------------------
>
> Key: SPARK-28736
> URL: https://issues.apache.org/jira/browse/SPARK-28736
> Project: Spark
> Issue Type: Sub-task
> Components: MLlib, PySpark
> Affects Versions: 3.0.0
> Reporter: Dongjoon Hyun
> Assignee: Hyukjin Kwon
> Priority: Major
> Fix For: 3.0.0
>
>
> Build Spark and run PySpark UT with JDK11.
> {code}
> $ build/sbt -Phadoop-3.2 test:package
> $ python/run-tests --testnames 'pyspark.mllib.clustering'
> --python-executables python
> ...
> File
> "/Users/dongjoon/APACHE/spark-master/python/pyspark/mllib/clustering.py",
> line 386, in __main__.GaussianMixtureModel
> Failed example:
> abs(softPredicted[0] - 1.0) < 0.001
> Expected:
> True
> Got:
> False
> **********************************************************************
> File
> "/Users/dongjoon/APACHE/spark-master/python/pyspark/mllib/clustering.py",
> line 388, in __main__.GaussianMixtureModel
> Failed example:
> abs(softPredicted[1] - 0.0) < 0.001
> Expected:
> True
> Got:
> False
> **********************************************************************
> 2 of 31 in __main__.GaussianMixtureModel
> ***Test Failed*** 2 failures.
> {code}
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