library(recipes)
library(textrecipes)
test_data <- tibble(text = c(
"I would not eat them here or there.",
"I would not eat them anywhere.",
"I would not eat green eggs and ham.",
"I do not like them, Sam-I-am."
))
rec <- recipe(~., data = test_data)
test_that("step_tfidf works as intended", {
rec <- rec %>%
step_tokenize(text) %>%
step_tfidf(text)
obj <- rec %>%
prep()
rec_answer <- unname(as.data.frame(bake(obj, new_data = NULL)))
manual_answer <- unname(
data.frame(
am = c(0 / 8, 0 / 6, 0 / 8, 1 / 8) * log(1 + 4 / 1),
and = c(0 / 8, 0 / 6, 1 / 8, 0 / 8) * log(1 + 4 / 1),
anywhere = c(0 / 8, 1 / 6, 0 / 8, 0 / 8) * log(1 + 4 / 1),
do = c(0 / 8, 0 / 6, 0 / 8, 1 / 8) * log(1 + 4 / 1),
eat = c(1 / 8, 1 / 6, 1 / 8, 0 / 8) * log(1 + 4 / 3),
eggs = c(0 / 8, 0 / 6, 1 / 8, 0 / 8) * log(1 + 4 / 1),
green = c(0 / 8, 0 / 6, 1 / 8, 0 / 8) * log(1 + 4 / 1),
ham = c(0 / 8, 0 / 6, 1 / 8, 0 / 8) * log(1 + 4 / 1),
here = c(1 / 8, 0 / 6, 0 / 8, 0 / 8) * log(1 + 4 / 1),
i = c(1 / 8, 1 / 6, 1 / 8, 2 / 8) * log(1 + 4 / 4),
like = c(0 / 8, 0 / 6, 0 / 8, 1 / 8) * log(1 + 4 / 1),
not = c(1 / 8, 1 / 6, 1 / 8, 1 / 8) * log(1 + 4 / 4),
or = c(1 / 8, 0 / 6, 0 / 8, 0 / 8) * log(1 + 4 / 1),
sam = c(0 / 8, 0 / 6, 0 / 8, 1 / 8) * log(1 + 4 / 1),
them = c(1 / 8, 1 / 6, 0 / 8, 1 / 8) * log(1 + 4 / 3),
there = c(1 / 8, 0 / 6, 0 / 8, 0 / 8) * log(1 + 4 / 1),
would = c(1 / 8, 1 / 6, 1 / 8, 0 / 8) * log(1 + 4 / 3)
)
)
expect_equal(
as.matrix(rec_answer),
as.matrix(manual_answer)
)
expect_equal(dim(tidy(rec, 2)), c(1, 4))
expect_equal(dim(tidy(obj, 2)), c(17, 4))
})
test_that("step_tfidf works with vocabulary argument", {
rec <- rec %>%
step_tokenize(text) %>%
step_tfidf(text, vocabulary = letters)
obj <- rec %>%
prep()
expect_length(
bake(obj, new_data = NULL),
26
)
})
test_that("check_name() is used", {
dat <- test_data
dat$tfidf_text_i <- dat$text
rec <- recipe(~., data = dat) %>%
step_tokenize(text) %>%
step_tfidf(text)
expect_snapshot(
error = TRUE,
prep(rec, training = dat)
)
})
test_that("idf valeus are trained on training data and applied on test data", {
data <- tibble(text = c("i g", "i i i"))
rec <- recipe(~text, data) %>%
step_tokenize(text) %>%
step_tfidf(text) %>%
prep()
expect_equal(
bake(rec, data %>% slice(1)),
bake(rec, data) %>% slice(1)
)
expect_equal(
rec$steps[[2]]$res[[1]],
c(g = log(1 + 2 / 1), i = log(1 + 2 / 2))
)
})
test_that("Backwards compatibility with 1592690d36581fc5f4952da3e9b02351b31f1a2e", {
# Test that recipes trained with version <= 0.5.0 keep previous behavoir and
# throw warning about the data leakage.
data <- tibble(text = c("i g", "i i i"))
rec <- recipe(~text, data) %>%
step_tokenize(text) %>%
step_tfidf(text) %>%
prep()
rec$steps[[2]]$res <- list(c("g", "i"))
expect_snapshot(
expect_equal(
bake(rec, data) %>% slice(1),
tibble(tfidf_text_g = log(1 + 2 / 1) / 2, tfidf_text_i = log(1 + 2 / 2) / 2)
)
)
expect_snapshot(
expect_equal(
bake(rec, data %>% slice(1)),
tibble(tfidf_text_g = log(1 + 2 / 2) / 2, tfidf_text_i = log(1 + 2 / 2) / 2)
)
)
})
# Infrastructure ---------------------------------------------------------------
test_that("bake method errors when needed non-standard role columns are missing", {
tokenized_test_data <- recipe(~text, data = test_data) %>%
step_tokenize(text) %>%
prep() %>%
bake(new_data = NULL)
rec <- recipe(tokenized_test_data) %>%
update_role(text, new_role = "predictor") %>%
step_tfidf(text) %>%
update_role(text, new_role = "potato") %>%
update_role_requirements(role = "potato", bake = FALSE)
trained <- prep(rec, training = tokenized_test_data, verbose = FALSE)
expect_error(
bake(trained, new_data = tokenized_test_data[, -1]),
class = "new_data_missing_column"
)
})
test_that("empty printing", {
rec <- recipe(mpg ~ ., mtcars)
rec <- step_tfidf(rec)
expect_snapshot(rec)
rec <- prep(rec, mtcars)
expect_snapshot(rec)
})
test_that("empty selection prep/bake is a no-op", {
rec1 <- recipe(mpg ~ ., mtcars)
rec2 <- step_tfidf(rec1)
rec1 <- prep(rec1, mtcars)
rec2 <- prep(rec2, mtcars)
baked1 <- bake(rec1, mtcars)
baked2 <- bake(rec2, mtcars)
expect_identical(baked1, baked1)
})
test_that("empty selection tidy method works", {
rec <- recipe(mpg ~ ., mtcars)
rec <- step_tfidf(rec)
expect <- tibble(
terms = character(),
token = character(),
weight = double(),
id = character()
)
expect_identical(tidy(rec, number = 1), expect)
rec <- prep(rec, mtcars)
expect_identical(tidy(rec, number = 1), expect)
})
test_that("keep_original_cols works", {
new_names <- c(
"tfidf_text_am", "tfidf_text_and", "tfidf_text_anywhere", "tfidf_text_do",
"tfidf_text_eat", "tfidf_text_eggs", "tfidf_text_green", "tfidf_text_ham",
"tfidf_text_here", "tfidf_text_i", "tfidf_text_like", "tfidf_text_not",
"tfidf_text_or", "tfidf_text_sam", "tfidf_text_them", "tfidf_text_there",
"tfidf_text_would"
)
rec <- recipe(~text, data = test_data) %>%
step_tokenize(text) %>%
step_tfidf(text, keep_original_cols = FALSE)
rec <- prep(rec)
res <- bake(rec, new_data = NULL)
expect_equal(
colnames(res),
new_names
)
rec <- recipe(~text, data = test_data) %>%
step_tokenize(text) %>%
step_tfidf(text, keep_original_cols = TRUE)
rec <- prep(rec)
res <- bake(rec, new_data = NULL)
expect_equal(
colnames(res),
c("text", new_names)
)
})
test_that("keep_original_cols - can prep recipes with it missing", {
rec <- recipe(~text, data = test_data) %>%
step_tokenize(text) %>%
step_tfidf(text)
rec$steps[[2]]$keep_original_cols <- NULL
expect_snapshot(
rec <- prep(rec)
)
expect_error(
bake(rec, new_data = test_data),
NA
)
})
test_that("printing", {
rec <- rec %>%
step_tokenize(text) %>%
step_tfidf(text)
expect_snapshot(print(rec))
expect_snapshot(prep(rec))
})
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.