Thank you for bringing prophet to fable!
I plan on using prophet in a hierarchical forecasting context, where I require reconciled forecasts. I'm not too familiar with the concepts and methods yet, but I was hoping, that also the reconciled prophet-forecasts would have a distribution (as it seems to be the case for ETS() for example), potentially generated via bootstrapping forecast errors.
Is it possible to get a prediction interval for reconciled prophet forecasts? :)
Please finde a reprex below for the approach I have taken so far.
library(tsibble)
library(fable)
library(fable.prophet)
library(dplyr)
tourism_states <- tourism %>%
aggregate_key(State / Region, Trips = sum(Trips))
mdl <- tourism_states %>%
model(prophet = prophet(Trips)) %>%
reconcile(prophet_mint = min_trace(prophet, method = "mint_shrink")) %>%
select(-prophet)
fc_rec <- mdl %>%
forecast(h = "1 year")
fc_rec %>%
filter(is_aggregated(State)) %>%
autoplot(tourism_states)

fc_rec_b <- mdl %>%
forecast(h = "1 year", bootstrap = TRUE)
#> Error: Problem with `mutate()` input `prophet_mint`.
#> x unbenutztes Argument (bootstrap = TRUE)
#> i Input `prophet_mint` is `(function (object, ...) ...`.
fc_rec_b %>%
filter(is_aggregated(State)) %>%
autoplot(tourism_states)
#> Error in eval(lhs, parent, parent): Objekt 'fc_rec_b' nicht gefunden
Created on 2020-12-10 by the reprex package (v0.3.0)
Thank you for bringing prophet to fable!
I plan on using prophet in a hierarchical forecasting context, where I require reconciled forecasts. I'm not too familiar with the concepts and methods yet, but I was hoping, that also the reconciled prophet-forecasts would have a distribution (as it seems to be the case for
ETS()for example), potentially generated via bootstrapping forecast errors.Is it possible to get a prediction interval for reconciled prophet forecasts? :)
Please finde a reprex below for the approach I have taken so far.
Created on 2020-12-10 by the reprex package (v0.3.0)