Code
prep(dummy, training = sacr, verbose = FALSE, strings_as_factors = FALSE)
Condition
Error in `step_dummy()`:
Caused by error in `prep()`:
x All columns selected for the step should be factor or ordered.
* 2 string variables found: `city` and `zip`
Code
recipe(sqft ~ zip + price + city, data = sacr) %>% step_dummy(city, zip, price) %>%
prep()
Condition
Error in `step_dummy()`:
Caused by error in `prep()`:
x All columns selected for the step should be factor or ordered.
* 1 integer variable found: `price`
Code
factors <- prep(factors, training = sacr_missing)
Condition
Warning:
! There are new levels in a factor: `NA`.
Code
factors_data_1 <- bake(factors, new_data = sacr_missing)
Condition
Warning:
! There are new levels in a factor: `NA`.
Code
factors <- prep(factors, training = sacr_ordered)
Condition
Warning:
! There are new levels in a factor: `NA`.
Code
factors_data_1 <- bake(factors, new_data = sacr_ordered)
Condition
Warning:
! There are new levels in a factor: `NA`.
Code
recipes:::warn_new_levels(testing$x1, levels(training$x1))
Condition
Warning:
! There are new levels in a factor: `C`.
Code
bake(rec, new_data = testing)
Condition
Warning:
! There are new levels in a factor: `C`.
Output
# A tibble: 10 x 2
y x1_B
<fct> <dbl>
1 0 0
2 0 1
3 1 0
4 0 NA
5 1 NA
6 0 1
7 0 0
8 0 1
9 1 NA
10 0 0
Code
recipe(~., data = mtcars) %>% step_dummy(preserve = TRUE)
Condition
Error:
! The `preserve` argument of `step_dummy()` was deprecated in recipes 0.1.16 and is now defunct.
i Please use the `keep_original_cols` argument instead.
Code
print(rec)
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 2
-- Training information
Training data contained 3 data points and no incomplete rows.
-- Operations
* Zero variance filter removed: x | Trained
* Dummy variables from: <none> | Trained
Code
prep(rec, training = dat)
Condition
Error in `step_dummy()`:
Caused by error in `bake()`:
! Name collision occurred. The following variable names already exist:
* `Species_versicolor`
Code
rec
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 10
-- Operations
* Dummy variables from: <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
* Dummy variables from: <none> | Trained
Code
rec <- prep(rec)
Condition
Warning:
`keep_original_cols` was added to `step_dummy()` after this recipe was created.
i Regenerate your recipe to avoid this warning.
Code
print(rec)
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 7
-- Operations
* Dummy variables from: city and zip
Code
prep(rec)
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 7
-- Training information
Training data contained 932 data points and no incomplete rows.
-- Operations
* Dummy variables from: city and zip | Trained
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