# toy data set
toy_data <- data.frame(
id = LETTERS[seq(21L, 26L)],
letter = I(list(
c("a", "b", "d"),
c("a", "b", "c"),
c("b", "d"),
c("b"),
c("a", "b", "d"),
c("a", "b", "d", "e")
)),
part = rep(c("train", "test"), each = 3L)
)
# each part contains values missing from the other
print(toy_data)
# build preprocessing recipe
toy_data %>%
filter(part == "train") %>%
recipe() %>%
step_mas(letter) %>%
prep(strings_as_factors = FALSE) ->
toy_rec
# preprocess training data
bake(toy_rec, new_data = NULL)
# preprocess testing data
toy_data %>%
filter(part == "test") %>%
bake(object = toy_rec)
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