Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

option to return sample trajectories #375

Open
elray1 opened this issue Sep 5, 2024 · 3 comments
Open

option to return sample trajectories #375

elray1 opened this issue Sep 5, 2024 · 3 comments

Comments

@elray1
Copy link

elray1 commented Sep 5, 2024

My understanding is that currently, forecasters in this package can produce predictive quantiles. However, in many disease forecasting hubs, there is interest in collecting sample trajectories. It could be nice to add options to return those instead of or in addition to quantiles.

@dshemetov
Copy link
Contributor

dshemetov commented Sep 5, 2024

My apologies, probably my lack of familiarity, but how are sample trajectories defined outside the Monte Carlo context? Our currently-included forecasters fit models to a specific ahead (e.g. 7 days out), without the need to produce the intermediate aheads (e.g. 1 through 6 days out), so there's no notion of a trajectory per se. We have thought about adding in iterative models (ones that produce 1 ahead at a time and feed their own output back in to produce a series of ahead forecasts), but haven't worked out how to integrate that in our framework yet. Maybe the latter is what you have in mind? (Though the forecaster output format for the latter would still be a hub-style prediction card... but I suspect you're not talking just about a format differences.)

@elray1
Copy link
Author

elray1 commented Sep 5, 2024

Good question -- I had forgotten that your models generally fit to a specific ahead, and you're right -- I had iterative methods in mind. (Is the cdc flatline forecaster using iterative methods?)

@dshemetov
Copy link
Contributor

Ah yes, I think that's the only that works that way.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants