Untokenization of Token VariablesSource:
step_untokenize creates a specification of a recipe step that will
token variable into a character predictor.
step_untokenize( recipe, ..., role = NA, trained = FALSE, columns = NULL, sep = " ", skip = FALSE, id = rand_id("untokenize") )
A recipe object. The step will be added to the sequence of operations for this recipe.
One or more selector functions to choose which variables are affected by the step. See
recipes::selections()for more details.
Not used by this step since no new variables are created.
A logical to indicate if the quantities for preprocessing have been estimated.
A character string of variable names that will be populated (eventually) by the
termsargument. This is
NULLuntil the step is trained by
a character to determine how the tokens should be separated when pasted together. Defaults to
A logical. Should the step be skipped when the recipe is baked by
recipes::bake.recipe()? While all operations are baked when
recipes::prep.recipe()is run, some operations may not be able to be conducted on new data (e.g. processing the outcome variable(s)). Care should be taken when using
skip = FALSE.
A character string that is unique to this step to identify it.
An updated version of
recipe with the new step added
to the sequence of existing steps (if any).
This steps will turn a
token vector back into a character
vector. This step is calling
paste internally to put the tokens back
together to a character.
tidy() this step, a tibble with columns
(the selectors or variables selected) and
value (seperator used for
library(recipes) library(modeldata) data(tate_text) tate_rec <- recipe(~., data = tate_text) %>% step_tokenize(medium) %>% step_untokenize(medium) tate_obj <- tate_rec %>% prep() bake(tate_obj, new_data = NULL, medium) %>% slice(1:2) #> # A tibble: 2 × 1 #> medium #> <fct> #> 1 video monitor or projection colour and sound stereo #> 2 etching on paper bake(tate_obj, new_data = NULL) %>% slice(2) %>% pull(medium) #>  etching on paper #> 1029 Levels: 100 digital prints on paper ink on paper and wall text ... tidy(tate_rec, number = 2) #> # A tibble: 1 × 3 #> terms value id #> <chr> <chr> <chr> #> 1 medium NA untokenize_bpcdt tidy(tate_obj, number = 2) #> # A tibble: 1 × 3 #> terms value id #> <chr> <chr> <chr> #> 1 medium " " untokenize_bpcdt