[GitHub] spark issue #23236: [SPARK-26275][PYTHON][ML] Increases timeout for Streamin...
Github user BryanCutler commented on the issue: https://github.com/apache/spark/pull/23236 > I suspect that might because as the resource usage is heavy, StreamingLogisticRegressionWithSGD's training speed on input batch stream can't always catch up predict batch stream. So the model doesn't reach expected improvement in error yet. Yeah that sounds likely, and the timeout increase should help with that --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #23236: [SPARK-26275][PYTHON][ML] Increases timeout for Streamin...
Github user viirya commented on the issue: https://github.com/apache/spark/pull/23236 > Compared to the error values from the test failures above, they match up until the 10th batch but then these continue until the 16th where it has a timeout I suspect that might because as the resource usage is heavy, `StreamingLogisticRegressionWithSGD`'s training speed on input batch stream can't always catch up predict batch stream. So the model doesn't reach expected improvement in error yet. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #23236: [SPARK-26275][PYTHON][ML] Increases timeout for Streamin...
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[GitHub] spark issue #23236: [SPARK-26275][PYTHON][ML] Increases timeout for Streamin...
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/23236 Thanks guys .. I will try to take a look for it as well (although it's going to take relatively a long while). Let me get this in for now anyway. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #23236: [SPARK-26275][PYTHON][ML] Increases timeout for Streamin...
Github user viirya commented on the issue: https://github.com/apache/spark/pull/23236 I agree with @BryanCutler's analysis and it looks a bit weird at few things about this test. I also think it is fine to increase the timeout for now. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #23236: [SPARK-26275][PYTHON][ML] Increases timeout for Streamin...
Github user BryanCutler commented on the issue: https://github.com/apache/spark/pull/23236 True, the test is not that long under light resources. Locally, I saw a couple seconds difference with the changes I mentioned. The weird thing is the unmodified test completes after the 11th batch with errors ``` ['0.67', '0.71', '0.78', '0.7', '0.75', '0.74', '0.73', '0.69', '0.62', '0.71', '0.31'] ``` Compared to the error values from the test failures above, they match up until the 10th batch but then these continue until the 16th where it has a timeout ``` 0.67, 0.71, 0.78, 0.7, 0.75, 0.74, 0.73, 0.69, 0.62, 0.71, 0.69, 0.75, 0.72, 0.77, 0.71, 0.74 ``` I would expect the seed to produce the same values (or all diff if the random func is different), which makes me think something else is going on.. Anyway, I think it's fine to increase the timeout and if it's still flaky, we can look at making changes. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #23236: [SPARK-26275][PYTHON][ML] Increases timeout for Streamin...
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/23236 Thanks for a close look, @BryanCutler. I just increased the timeout because I was just trying to keep the test as is and fix it. The actual test doesn't look taking so much time but it looks it can be flaky when the resource usage is heavy. If you feel this can be resolved in other ways, would you mind if I ask to take a look for this please? and i'm happy to close this one. Actually, I am not quite familiar with ML ones .. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #23236: [SPARK-26275][PYTHON][ML] Increases timeout for Streamin...
Github user BryanCutler commented on the issue: https://github.com/apache/spark/pull/23236 Seems ok to me, but there are a few silly things with this test that might help also * why is the `stepSize` so low at 0.01? I think it would be fine at 0.1, but even conservatively at 0.03 would still help converge a little faster * why is it comparing the current error with the second error value (errors[1] - errors[-1])? Maybe because errors[1] is bigger, but should just be `errors[0]` and make the values more sensible, like maybe check that error is > 0.2 * having 2 `if` statements to check basically the same condition is a bit redundant, just `assert(len(errors) < len(predict_batches)` before the last return * nit: `true_predicted = []` on line 350 isn't used If you don't feel comfortable changing any of these, just increasing the timeout is probably fine --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #23236: [SPARK-26275][PYTHON][ML] Increases timeout for Streamin...
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