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https://issues.apache.org/jira/browse/SPARK-33203?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dongjoon Hyun resolved SPARK-33203.
-----------------------------------
Fix Version/s: 3.1.0
Resolution: Fixed
Issue resolved by pull request 30104
[https://github.com/apache/spark/pull/30104]
> Pyspark ml tests failing with rounding errors
> ---------------------------------------------
>
> Key: SPARK-33203
> URL: https://issues.apache.org/jira/browse/SPARK-33203
> Project: Spark
> Issue Type: Test
> Components: ML, PySpark
> Affects Versions: 3.0.1
> Reporter: Alessandro Patti
> Assignee: Apache Spark
> Priority: Minor
> Fix For: 3.1.0
>
>
> The tests _{{pyspark.ml.recommendation}}_ and
> _{{pyspark.ml.tests.test_algorithms}}_ occasionally fail (depends on
> environment) with
> {code:java}
> File "/home/jenkins/python/pyspark/ml/tests/test_algorithms.py", line 96, in
> test_raw_and_probability_prediction
> self.assertTrue(np.allclose(result.rawPrediction, expected_rawPrediction,
> atol=1))
> AssertionError: False is not true{code}
> {code:java}
> File "/home/jenkins/python/pyspark/ml/recommendation.py", line 256, in
> _main_.ALS
> Failed example:
> predictions[0]
> Expected:
> Row(user=0, item=2, newPrediction=0.6929101347923279)
> Got:
> Row(user=0, item=2, newPrediction=0.6929104924201965)
> ...{code}
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