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huaxingao pushed a commit to branch branch-3.0
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The following commit(s) were added to refs/heads/branch-3.0 by this push:
new 30c3a50 [SPARK-32506][TESTS] Flaky test:
StreamingLinearRegressionWithTests
30c3a50 is described below
commit 30c3a502667bfa1feaf2230b4fc4cc2d36d9b85a
Author: Huaxin Gao <huax...@us.ibm.com>
AuthorDate: Thu Aug 6 13:54:15 2020 -0700
[SPARK-32506][TESTS] Flaky test: StreamingLinearRegressionWithTests
### What changes were proposed in this pull request?
The test creates 10 batches of data to train the model and expects to see
error on test data improves as model is trained. If the difference between the
2nd error and the 10th error is smaller than 2, the assertion fails:
```
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/runner/work/spark/spark/python/pyspark/mllib/tests/test_streaming_algorithms.py",
line 466, in test_train_prediction
eventually(condition, timeout=180.0)
File "/home/runner/work/spark/spark/python/pyspark/testing/utils.py",
line 81, in eventually
lastValue = condition()
File
"/home/runner/work/spark/spark/python/pyspark/mllib/tests/test_streaming_algorithms.py",
line 461, in condition
self.assertGreater(errors[1] - errors[-1], 2)
AssertionError: 1.672640157855923 not greater than 2
```
I saw this quite a few time on Jenkins but was not able to reproduce this
on my local. These are the ten errors I got:
```
4.517395047937127
4.894265404350079
3.0392090466559876
1.8786361640757654
0.8973106042078115
0.3715780507684368
0.20815690742907672
0.17333033743125845
0.15686783249863873
0.12584413600569616
```
I am thinking of having 15 batches of data instead of 10, so the model can
be trained for a longer time. Hopefully the 15th error - 2nd error will always
be larger than 2 on Jenkins. These are the 15 errors I got on my local:
```
4.517395047937127
4.894265404350079
3.0392090466559876
1.8786361640757658
0.8973106042078115
0.3715780507684368
0.20815690742907672
0.17333033743125845
0.15686783249863873
0.12584413600569616
0.11883853835108477
0.09400261862100823
0.08887491447353497
0.05984929624986607
0.07583948141520978
```
### Why are the changes needed?
Fix flaky test
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
Manually tested
Closes #29380 from huaxingao/flaky_test.
Authored-by: Huaxin Gao <huax...@us.ibm.com>
Signed-off-by: Huaxin Gao <huax...@us.ibm.com>
(cherry picked from commit 75c2c53e931187912a92e0b52dae0f772fa970e3)
Signed-off-by: Huaxin Gao <huax...@us.ibm.com>
---
python/pyspark/mllib/tests/test_streaming_algorithms.py | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/python/pyspark/mllib/tests/test_streaming_algorithms.py
b/python/pyspark/mllib/tests/test_streaming_algorithms.py
index 2f35e07..5818a7c 100644
--- a/python/pyspark/mllib/tests/test_streaming_algorithms.py
+++ b/python/pyspark/mllib/tests/test_streaming_algorithms.py
@@ -434,9 +434,9 @@ class
StreamingLinearRegressionWithTests(MLLibStreamingTestCase):
slr = StreamingLinearRegressionWithSGD(stepSize=0.2, numIterations=25)
slr.setInitialWeights([0.0])
- # Create ten batches with 100 sample points in each.
+ # Create fifteen batches with 100 sample points in each.
batches = []
- for i in range(10):
+ for i in range(15):
batch = LinearDataGenerator.generateLinearInput(
0.0, [10.0], [0.0], [1.0 / 3.0], 100, 42 + i, 0.1)
batches.append(self.sc.parallelize(batch))
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