Code
prep(rec, training = dat)
Condition
Error in `step_texthash()`:
Caused by error in `bake()`:
! Name collision occurred. The following variable names already exist:
* `texthash_text_0001`
Code
prep(step_texthash(recipe(~., data = mtcars), signed = "yes"))
Condition
Error in `step_texthash()`:
Caused by error in `prep()`:
! `signed` must be `TRUE` or `FALSE`, not the string "yes".
Code
prep(step_texthash(recipe(~., data = mtcars), num_terms = -4))
Condition
Error in `step_texthash()`:
Caused by error in `prep()`:
! `num_terms` must be a whole number larger than or equal to 0, not the number -4.
Code
prep(step_texthash(recipe(~., data = mtcars), prefix = NULL))
Condition
Error in `step_texthash()`:
Caused by error in `prep()`:
! `prefix` must be a single string, not `NULL`.
Code
bake(trained, new_data = tokenized_test_data[, -1])
Condition
Error in `step_texthash()`:
! The following required column is missing from `new_data`: text.
Code
rec
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 10
-- Operations
* Feature hashing with: <none>
Code
rec
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 10
-- Training information
Training data contained 32 data points and no incomplete rows.
-- Operations
* Feature hashing with: <none> | Trained
Code
rec <- prep(rec)
Condition
Warning:
`keep_original_cols` was added to `step_texthash()` after this recipe was created.
i Regenerate your recipe to avoid this warning.
Code
print(rec)
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
predictor: 1
-- Operations
* Tokenization for: text
* Feature hashing with: text
Code
prep(rec)
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
predictor: 1
-- Training information
Training data contained 4 data points and no incomplete rows.
-- Operations
* Tokenization for: text | Trained
* Feature hashing with: text | Trained
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