Code
pca_extract
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 5
-- Training information
Training data contained 100 data points and no incomplete rows.
-- Operations
* Polynomial kernel PCA extraction with: X2, X3, X4, X5, X6 | Trained
Code
prep(rec, training = dat)
Condition
Error in `step_kpca_poly()`:
Caused by error in `bake()`:
! Name collision occurred. The following variable names already exist:
* `kPC1`
Code
rec
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 10
-- Operations
* Polynomial kernel PCA 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
* Polynomial kernel PCA extraction with: <none> | Trained
Code
rec <- prep(rec)
Condition
Warning:
`keep_original_cols` was added to `step_kpca_poly()` 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
Code
prep(rec)
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 5
-- Training information
Training data contained 100 data points and no incomplete rows.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.