Cool! 😄 Yeah, that makes sense.

So (just brainstorming here) imagine you have your dataset with all samples inside. Every time N new samples arrive they're just added to the larger dataset in an incremental way (with the 3 lines I sent earlier).
So imagine if we could query/filter that large dataset to only include a certain datetime range. That range filter is then stored as hyperparameter too, so in that case, you could easily rerun the same training task multiple times, on different amounts of data, by just changing the daterange parameter in the interface. It could help to find out the best interval to take maybe?

I'm just asking you if that would make sense, because I've been thinking about this functionality for my own usecases too 🙂 Would be cool to contribute it