Tidy the result of a frosting object

tidy will return a data frame that contains information regarding a frosting or operation within the frosting (when a tidy method for the operation exists). Note that this is a modified version of the tidy method for a recipe.

Usage

# S3 method for class 'frosting'
tidy(x, number = NA, id = NA, ...)

Arguments

x

A frosting or layer object

number

An integer or NA. If missing, and id is not provided, the return value is a list of the operations in the frosting. If a number is given, a tidy method is executed for that operation in the frosting (if it exists). number must not be provided if id is.

id

A character string or NA. If missing and number is not provided, the return value is a list of the operations in the frosting. If a character string is given, a tidy method is executed for that operation in the frosting (if it exists). id must not be provided if number is.

...

Not currently used.

Value

A tibble with columns that vary depending on what tidy method is executed. When number, and id are NA, a tibble with columns number (the operation iteration), operation ("layer"), type (the method, e.g. "predict", "naomit"), and a character column id.

Examples

library(dplyr)
jhu <- case_death_rate_subset %>%
  filter(time_value > "2021-11-01", geo_value %in% c("ak", "ca", "ny"))

r <- epi_recipe(jhu) %>%
  step_epi_lag(death_rate, lag = c(0, 7, 14)) %>%
  step_epi_ahead(death_rate, ahead = 7) %>%
  step_epi_naomit()

wf <- epi_workflow(r, parsnip::linear_reg()) %>% fit(jhu)
latest <- get_test_data(recipe = r, x = jhu)
f <- frosting() %>%
  layer_predict() %>%
  layer_naomit(.pred)

tidy(f)
#> # A tibble: 2 × 4
#>   number operation type    id                   
#>    <int> <chr>     <chr>   <chr>                
#> 1      1 layer     predict predict_default_Cb9Gy
#> 2      2 layer     naomit  naomit_7BWmG