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
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