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Thanks! It's better to refresh in smaller increment (refresh_step = 1 e.g.) rather than a bigger leap. The refresh actually picks an winner automatically, see |
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Hi! I'm currently writing my Master's Thesis on MMMs, and have found a great interest in Robyn. My question is what the recommended approach for iterative model refreshes is? E.g. once a week when new data is available, I wish to schedule a model refresh using
robyn_refresh()
, and later run a budget allocation recommendation usingrobyn_allocator()
using the new refreshed model.I have an initial model, saved as a json file using
robyn_write()
(robyn_save()
seems to be deprecated). Is there a way for Robyn to automatically find the latest refresh on my model, both for the refresh and allocator functions to use?Thanks for your help!
All the best,
ractodev
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