ozancicek commented on issue #24939: [SPARK-18569][ML][R] Support RFormula arithmetic, I() and spark functions URL: https://github.com/apache/spark/pull/24939#issuecomment-532672503 > **[Test build #110680 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/110680/testReport)** for PR 24939 at commit [`56e36f1`](https://github.com/apache/spark/commit/56e36f1b269e26e04005ee79570558b2f8146d1f). > > * This patch **fails PySpark unit tests**. > * This patch merges cleanly. > * This patch adds no public classes. ``` FAIL: test_train_prediction (pyspark.mllib.tests.test_streaming_algorithms.StreamingLinearRegressionWithTests) Test that error on test data improves as model is trained. ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/jenkins/workspace/SparkPullRequestBuilder@2/python/pyspark/mllib/tests/test_streaming_algorithms.py", line 503, in test_train_prediction self._eventually(condition) File "/home/jenkins/workspace/SparkPullRequestBuilder@2/python/pyspark/mllib/tests/test_streaming_algorithms.py", line 69, in _eventually lastValue = condition() File "/home/jenkins/workspace/SparkPullRequestBuilder@2/python/pyspark/mllib/tests/test_streaming_algorithms.py", line 498, in condition self.assertGreater(errors[1] - errors[-1], 2) AssertionError: 1.672640157855923 not greater than 2 ``` I wasn't able to reproduce this failure locally. Could it be a transient error?
---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
