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We're updating the formatting in some way in https://github.com/cdcent/cfa-parameter-estimates/issues/67, so we'll want this to respect whatever that formatting is. It's a bit tricky here if that doesn't include a left-hand-side zero-pad because we'll have to guess whether to zero-pad or not. We wont be able to know whether an input is wrong except by convention.
We'll want the ability to backtest on the old GI to compare to old prod estimates to new model setups. I don't quite know how we do that -- is it to save the biased GI in a readable-for-EpiNow2 format? Something else?
And I'm not sure how to handle this so (2) and (3) are both achievable. It's not hard on the face of it because we could make (1) a warning, but epiforecasts/EpiNow2#806 makes up-to-date EpiNow2's check an error. So we'd need to reformat our old estimate to be both different and still wrong if we want to be able to do a true backtest once we bump the version.
I think the answer is probably we throw a warning and zero-pad the left-hand side of the PMF here if the PMF is not already zero-padded. And we overwrite the old PMF to be knowingly biased by zero-padding the current prod estimate so we can reproduce old behavior. Thoughts @athowes@kgostic?
The text was updated successfully, but these errors were encountered:
In light of epiforecasts/EpiNow2#806 and epiforecasts/EpiNow2#799 (comment), we should probably implement our own check or handling for GIs with density on day 0. I'd think that would go here:
cfa-epinow2-pipeline/R/fit_model.R
Lines 112 to 120 in 418d027
The correct way to handle this is a bit subtle because there's a few conflicting things going on:
And I'm not sure how to handle this so (2) and (3) are both achievable. It's not hard on the face of it because we could make (1) a warning, but epiforecasts/EpiNow2#806 makes up-to-date EpiNow2's check an error. So we'd need to reformat our old estimate to be both different and still wrong if we want to be able to do a true backtest once we bump the version.
I think the answer is probably we throw a warning and zero-pad the left-hand side of the PMF here if the PMF is not already zero-padded. And we overwrite the old PMF to be knowingly biased by zero-padding the current prod estimate so we can reproduce old behavior. Thoughts @athowes @kgostic?
The text was updated successfully, but these errors were encountered: