Details
Major Description
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/101356/console
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/101358/console
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/101254/console
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/100941/console
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/100327/console
====================================================================== FAIL: test_training_and_prediction (pyspark.mllib.tests.test_streaming_algorithms.StreamingLogisticRegressionWithSGDTests) Test that the model improves on toy data with no. of batches ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/mllib/tests/test_streaming_algorithms.py", line 367, in test_training_and_prediction self._eventually(condition, timeout=60.0) File "/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/mllib/tests/test_streaming_algorithms.py", line 69, in _eventually lastValue = condition() File "/home/jenkins/workspace/SparkPullRequestBuilder/python/pyspark/mllib/tests/test_streaming_algorithms.py", line 362, in condition self.assertGreater(errors[1] - errors[-1], 0.3) AssertionError: -0.070000000000000062 not greater than 0.3 ---------------------------------------------------------------------- Ran 13 tests in 198.327s FAILED (failures=1, skipped=1) Had test failures in pyspark.mllib.tests.test_streaming_algorithms with python3.4; see logs.
It apparently became less flaky after increasing the time at SPARK-26275 but looks now it became flacky due to unexpected results.
Attachments
Issue Links
- is a clone of
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SPARK-26275
Flaky test: pyspark.mllib.tests.test_streaming_algorithms StreamingLogisticRegressionWithSGDTests.test_training_and_prediction
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- Resolved
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- links to
