Code
tidy(pca_extract_trained, number = 3, type = "variances")
Condition
Error in `match.arg()`:
! 'arg' should be one of "coef", "variance"
Code
print(pca_extract_trained)
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
* No PCA components were extracted from: carbon and hydrogen, ... | Trained
Code
pca_extract
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
* Centering for: carbon, hydrogen, oxygen, nitrogen, sulfur | Trained
* Scaling for: carbon, hydrogen, oxygen, nitrogen, sulfur | Trained
* PCA extraction with: carbon, hydrogen, oxygen, nitrogen, sulfur | Trained
Code
prep(rec, training = dat)
Condition
Error in `step_pca()`:
Caused by error in `bake()`:
! Name collision occurred. The following variable names already exist:
* `PC1`
Code
pca_extract_trained
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 4
case_weights: 1
-- Training information
Training data contained 456 data points and no incomplete rows.
-- Operations
* PCA extraction with: carbon, hydrogen, oxygen, sulfur | Trained, weighted
Code
pca_extract_trained
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 4
case_weights: 1
-- Training information
Training data contained 456 data points and no incomplete rows.
-- Operations
* PCA extraction with: carbon and hydrogen, ... | Trained, ignored weights
Code
rec
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 10
-- Operations
* 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
* No PCA components were extracted from: <none> | Trained
Code
rec <- prep(rec)
Condition
Warning:
`keep_original_cols` was added to `step_pca()` 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
* PCA extraction with: carbon, hydrogen, oxygen, nitrogen, sulfur
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
* PCA extraction with: carbon, hydrogen, oxygen, nitrogen, sulfur | Trained
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