Hyukjin Kwon created SPARK-26646: ------------------------------------ Summary: Flaky test: pyspark.mllib.tests.test_streaming_algorithms StreamingLogisticRegressionWithSGDTests.test_training_and_prediction Key: SPARK-26646 URL: https://issues.apache.org/jira/browse/SPARK-26646 Project: Spark Issue Type: Test Components: MLlib, PySpark Affects Versions: 3.0.0 Reporter: Hyukjin Kwon
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/101356/console https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/101358/console {code} ====================================================================== 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. {code} It apparently became less flaky after increasing the time at SPARK-26275 but looks now it became flacky due to unexpected results. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org