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Posted to issues@spark.apache.org by "Alessandro Patti (Jira)" <ji...@apache.org> on 2020/10/21 07:46:00 UTC

[jira] [Created] (SPARK-33203) Pyspark ml tests failing with rounding errors

Alessandro Patti created SPARK-33203:
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             Summary: 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


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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