🐛 Fix the learning rate scale #60
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## dev #60 +/- ##
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Coverage 98.39% 98.39%
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Files 71 71
Lines 3607 3608 +1
Branches 426 426
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+ Hits 3549 3550 +1
Misses 22 22
Partials 36 36
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Co-authored-by: hanruisong00 <hanruisong@tju.edu.cn> Co-authored-by: Adrien Lafage <adrienlafage@outlook.com>
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Thanks again to @hanruisong00 for the remark. We have to discuss the best way to fix this scaling problem. The current solution is unsatisfactory as it scales all ensemble methods; however, BatchEnsembles and Masksembles should not be scaled according to their source code. Is the default automated scaling, and are BatchEnsembles/Masksembles anomalies? No, because MCDropout should not be scaled either. If it's 50/50, we could add a parameter to handle this question correctly.
Will resolve #59.