Nothing
Code
prep(rec1)
Condition
Warning:
Column(s) have zero variance so scaling cannot be used: `zero_variance`. Consider using `step_zv()` to remove those columns before normalizing
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 6
-- Training information
Training data contained 536 data points and no incomplete rows.
-- Operations
* Centering and scaling for: carbon, hydrogen, oxygen, nitrogen, ... | Trained
Code
rec
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 9
case_weights: 1
-- Training information
Training data contained 32 data points and no incomplete rows.
-- Operations
* Centering and scaling for: disp, hp, drat, wt, qsec, ... | Trained, weighted
Code
rec
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 9
case_weights: 1
-- Training information
Training data contained 32 data points and no incomplete rows.
-- Operations
* Centering and scaling for: cyl, disp, hp, drat, ... | Trained, ignored
weights
Code
rec
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 10
-- Operations
* Centering and scaling for: <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
* Centering and scaling for: <none> | Trained
Code
print(rec)
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 10
-- Operations
* Centering and scaling for: disp, wt
Code
prep(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
* Centering and scaling for: disp, wt | Trained
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