Joseph K. Bradley created SPARK-9461:
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Summary: Possibly slightly flaky PySpark
StreamingLinearRegressionWithTests
Key: SPARK-9461
URL: https://issues.apache.org/jira/browse/SPARK-9461
Project: Spark
Issue Type: Bug
Components: MLlib, PySpark
Affects Versions: 1.5.0
Reporter: Joseph K. Bradley
Assignee: Jeremy Freeman
[~freeman-lab]
Check out this failure:
[https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/38913/consoleFull]
It should be deterministic, but do you think it's just slight variations caused
by the Python version? Or do you think it's something odd going on with
streaming? This is the only time I've seen this happen, but I'll post again if
I see it more.
Test failure message:
{code}
======================================================================
FAIL: test_parameter_accuracy (__main__.StreamingLinearRegressionWithTests)
Test that coefs are predicted accurately by fitting on toy data.
----------------------------------------------------------------------
Traceback (most recent call last):
File
"/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/mllib/tests.py",
line 1282, in test_parameter_accuracy
slr.latestModel().weights.array, [10., 10.], 1)
File
"/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/mllib/tests.py",
line 1257, in assertArrayAlmostEqual
self.assertAlmostEqual(i, j, dec)
AssertionError: 9.4243238731093655 != 9.3216175551722014 within 1 places
{code}
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