> Speaking of which, I think it's important to curate a dataset of > success/failure logs with the expected anomalies to be found. Those will > be super useful to prevent regression when trying out new settings or models. > How to store and manage the dataset remains to be defined too. > To give you an idea, fwiw, you can find my original dataset here: > git clone https://softwarefactory-project.io/r/logreduce-tests > How did you collect and curate the original dataset? And, how do you expect the new set looks like?
Cheers, Klérisson
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