Some steps that return what are essentially integers are returning them as doubles. It might be helpful to handle the conversion to help with object sizes.
library(recipes)
library(modeldata)
data("Chicago")
recipe(ridership ~ date, data = Chicago) %>%
step_date(date, label = FALSE, keep_original_cols = FALSE) %>%
prep() %>%
bake(new_data = NULL)
#> # A tibble: 5,698 × 4
#> ridership date_dow date_month date_year
#> <dbl> <dbl> <dbl> <dbl>
#> 1 15.7 2 1 2001
#> 2 15.8 3 1 2001
#> 3 15.9 4 1 2001
#> 4 15.9 5 1 2001
#> 5 15.4 6 1 2001
#> 6 2.42 7 1 2001
#> 7 1.47 1 1 2001
#> 8 15.5 2 1 2001
#> 9 15.9 3 1 2001
#> 10 15.9 4 1 2001
#> # … with 5,688 more rows
recipe(ridership ~ date, data = Chicago) %>%
step_date(date, keep_original_cols = FALSE) %>%
step_dummy(all_nominal_predictors()) %>%
prep() %>%
bake(new_data = NULL)
#> # A tibble: 5,698 × 19
#> ridership date_year date_dow_Mon date_dow_Tue date_dow_Wed date_dow_Thu
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 15.7 2001 1 0 0 0
#> 2 15.8 2001 0 1 0 0
#> 3 15.9 2001 0 0 1 0
#> 4 15.9 2001 0 0 0 1
#> 5 15.4 2001 0 0 0 0
#> 6 2.42 2001 0 0 0 0
#> 7 1.47 2001 0 0 0 0
#> 8 15.5 2001 1 0 0 0
#> 9 15.9 2001 0 1 0 0
#> 10 15.9 2001 0 0 1 0
#> # … with 5,688 more rows, and 13 more variables: date_dow_Fri <dbl>,
#> # date_dow_Sat <dbl>, date_month_Feb <dbl>, date_month_Mar <dbl>,
#> # date_month_Apr <dbl>, date_month_May <dbl>, date_month_Jun <dbl>,
#> # date_month_Jul <dbl>, date_month_Aug <dbl>, date_month_Sep <dbl>,
#> # date_month_Oct <dbl>, date_month_Nov <dbl>, date_month_Dec <dbl>Created on 2021-08-10 by the reprex package (v2.0.1)
Some steps that return what are essentially integers are returning them as doubles. It might be helpful to handle the conversion to help with object sizes.
Created on 2021-08-10 by the reprex package (v2.0.1)