lightweight_mmm
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using old model results as priors for new model?
Hi, I'd love a utility to use a fitted model to generate priors for an update to that same model. Ideally there would be a way to generate the priors for new features (e.g. new media channel can be mapped to a previous media channel to be used as a prior), but at a minimum it would be awesome to be able to chain together the estimation process.
I didn't immediately a way to specify a prior in numpyro that isn't a distribution, so I'm not sure this is possible . . . but it would be very useful.
Agreed that some sort of warm_start
parameter in the model would be great
Thanks a lot for the suggestion! I just wanted to share a link to our new "support" section in the readme to give you some more information on how we can and cannot support such requests at the moment.