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Description
This is something I've been thinking about and applied partially, but haven't been able to put into practice. It would be nice to have a sample notebook showing how to document experiments for the future.
What I've found with ML projects is that onboarding new people is often difficult because the experimentation process is often difficult because experiments on the data are often lost or obfuscated by being mixed with other experiments. Oftentimes, these issues exist because
- People don't know that they can use
%autoreload 2to automatically reload code from modules, which makes it way easier to share code between notebooks. - Usually notebooks are all stored within a single folder, meaning it can be hard to find actively used notebooks in experiments.
I think showing conventions to quickly save code to notebooks and then share among them would be a nice way to expedite these processes. The current README shows how one can call code from modules inside their current notebook. Perhaps notebook helper code could be installed as a separate top-level package and installed as a dev dependency to encourage cleanliness. What do you think @Tsmith5151 ?