Parallelization using future does not work with dynamic formula in model

[KaroRonty]

I have a model with lots of predictors so it would make sense to define the formula outside the model function, but it's not working using parallelization. The error message is "object 'f' not found".

# Preparing the data
library(fable)
library(tsibble)
library(dplyr)

train <- airquality %>% mutate(
    date = as.Date(paste('2018', Month, Day, sep = '-')), 
    Ozone = round(imputeTS::na.interpolation(Ozone, option = 'stine')),
    Solar.R = round(imputeTS::na.interpolation(Solar.R, option = 'stine'))
) %>% 
    as_tsibble()

# Defining the formula
f <- as.formula('Ozone ~ Wind + Temp + Solar.R')

# Works
fsModel <- train %>% 
    model(ARIMA(Ozone ~ Wind + Temp + Solar.R))

# Works
fsModel <- train %>% 
    model(ARIMA(formula = f))

library(future)

plan(multiprocess)

# Works
fsModel <- train %>% 
    model(ARIMA(Ozone ~ Wind + Temp + Solar.R))

# Does not work
fsModel <- train %>% 
    model(ARIMA(formula = f))

[mitchelloharawild]

Thanks for the bug report. I'll be fixing up reconciliation next month.
This is a known issue covered by #146

[KaroRonty]

Great! Sorry for opening a duplicate issue, seems like googling the packages in question doesn't bring all the results from github issues

[mitchelloharawild]

No worries, hopefully others will find this issue then 😄