Partially clear outcome variable in new data by overriding with NA values

clear_outcome(data, index, outcome, timesteps, key = NULL)

Arguments

data: (data.frame) New data
index: Date variable
outcome: Outcome (target) variable
timesteps: (integer) Number of timesteps used by RNN model
key: A key (id) to group the data.frame (for panel data)

Examples

tarnow_temp <-
  weather_pl %>%
  filter(station == "TRN") %>%
  select(date, tmax_daily, tmin_daily, press_mean_daily)

TIMESTEPS <- 20
HORIZON   <- 1

data_split <-
  time_series_split(
    tarnow_temp, date,
    initial = "18 years",
    assess  = "2 years",
    lag     = TIMESTEPS
  )
#> Error in time_series_split(tarnow_temp, date, initial = "18 years", assess = "2 years",     lag = TIMESTEPS): could not find function "time_series_split"

cleared_new_data <-
  testing(data_split) %>%
  clear_outcome(date, tmax_daily, TIMESTEPS)
#> Error in assessment(x): object 'data_split' not found

head(cleared_new_data, TIMESTEPS + 10)
#> Error in head(cleared_new_data, TIMESTEPS + 10): object 'cleared_new_data' not found