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test_ridge_regression_unpenalized is unstable #23177
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On one side, I feel guilty for all the work I've created by introducing those tests. On the other side, the shortcomings of the solvers become evident and - to formulate positively - it seems that sag and saga have room for improvement. |
What I don't get is that these failures are not deterministic. It's like there's some kind of randomness (but very subtle) with sag and saga. Although for the failure reported here, it happened in 2 CI jobs and the computed coefs are exactly the same in the 2 jobs |
Should we open an issue for this sag/saga? |
@lorentzenchr I'm not sure what to do so if you have an idea about how to make it more robust go ahead.
Probably. I mean it would be interesting to better understand what we can expect with these 2 solvers |
I probably found the source of the randomness (see #23181). At least now the CI runs should be reproducible :) |
With the randomness of the CI, this failure should not appear anymore. Since the |
see https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=41172&view=logs&jobId=c0f56aa6-924f-525c-3d4d-cdeecf409e66&j=c0f56aa6-924f-525c-3d4d-cdeecf409e66&t=f81f9209-4a58-571a-6d88-f139846a65e1
cc/ @lorentzenchr
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