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As @dshemetov and I were comparing some production forecasters to epipredict canned forecasters, it seemed like it would be useful to have a training window as a parameter (implemented via step_training_window).
Some asides:
Does step_training_window need to be step_epi_training_window, since it relies on epi_keys and time_value?
I've been using "epikey" (or "epigroup") to refer to the geographical&demographical keys, not including time_value or version, but I think epipredict considers time_value an epikey. We should think about standardizing names.
The text was updated successfully, but these errors were encountered:
Alternatively: add a function to output the unfit workflow that would be used by arx_forecaster(), have utilities to modify the workflow more easily ([add_]step*(.after = "<step/phasename>", .before = "<step/phasename>", ....)?
As @dshemetov and I were comparing some production forecasters to epipredict canned forecasters, it seemed like it would be useful to have a training window as a parameter (implemented via
step_training_window
).Some asides:
step_training_window
need to bestep_epi_training_window
, since it relies onepi_keys
andtime_value
?The text was updated successfully, but these errors were encountered: