NA omitting #27
Description
Default na_omit processing should likely remove NAs from y and x at training time, but only x at prediction time. Using default {recipes} steps, one would do something like:
# Baseline AR3
r <- epi_recipe(x) %>%
step_epi_ahead(death_rate, ahead = 7) %>%
step_epi_lag(death_rate, lag = c(0, 7, 14)) %>%
step_epi_lag(case_rate, lag = c(0, 7, 14)) %>%
step_naomit(all_predictors()) %>%
# below, `skip` means we don't do this at predict time
# we should probably do something useful here to avoid user error
step_naomit(all_outcomes(), skip = TRUE)Write a wrapper that adds combines these steps into 1.