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Absolutely but there are cases where doing that is not practical. For instance machine learning training tasks that can take a long time to converge (months eve
by Atlas22 3y ago
Absolutely but there are cases where doing that is not practical. For instance machine learning training tasks that can take a long time to converge (months even). There are good arguments that long running tasks should not be in a notebook but they often find themselves in notebooks regardless especially in the ML domain.
- yjftsjthsd-h 3y agoThat really sounds like a mismatch: Jupyter is, at the end of the day, a REPL; it seems like the exact opposite of the appropriate tool for anything that takes a long time to run.