Code
prep(rec)
Condition
Error in `step_pls()`:
Caused by error in `prep()`:
! Only multivariate models for numeric outcomes are supports.
Code
prep(rec)
Condition
Error in `step_pls()`:
Caused by error in `prep()`:
! Only multivariate models for numeric outcomes are supports.
Code
prep(rec, training = dat)
Condition
Error in `step_pls()`:
Caused by error in `bake()`:
! Name collision occurred. The following variable names already exist:
* `PLS1`
Code
recipe(~., data = mtcars) %>% step_pls(outcome = "mpg", preserve = TRUE)
Condition
Error:
! The `preserve` argument of `step_pls()` was deprecated in recipes 0.1.16 and is now defunct.
i Please use the `keep_original_cols` argument instead.
Code
rec
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 10
-- Operations
* PLS feature extraction 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
* PLS feature extraction with: <none> | Trained
Code
rec <- prep(rec)
Condition
Warning:
`keep_original_cols` was added to `step_pls()` 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: 5
-- Operations
* PLS feature extraction with: all_predictors()
Code
prep(rec)
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 5
-- Training information
Training data contained 456 data points and no incomplete rows.
-- Operations
* PLS feature extraction with: carbon, hydrogen, oxygen, ... | Trained
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