Nothing
Code
bake_check_class_core(x1, "character", "x1")
Condition
Error in `bake_check_class_core()`:
! `x1` should have the class <character> but has the class <numeric>.
Code
bake_check_class_core(x2, c("POSIXct", "Julian"), "x2")
Condition
Error in `bake_check_class_core()`:
! `x2` should have the class <POSIXct/Julian> but has the classes <POSIXct/POSIXt>.
Code
bake_check_class_core(x2, "POSIXct", "x2")
Condition
Error in `bake_check_class_core()`:
x `x2` has class <POSIXct/POSIXt> but only the following are asked: <POSIXct>.
i This error is shown because `allow_additional` is set to "FALSE".
Code
bake(rec1, x_newdata)
Condition
Error:
! `x1` should have the class <numeric> but has the class <character>.
Code
bake(rec1, x_newdata_2)
Condition
Error:
x `x2` has class <POSIXct/POSIXt/Julian> but only the following are asked: <POSIXct/POSIXt>.
i This error is shown because `allow_additional` is set to "FALSE".
Code
bake(rec2, x_newdata)
Condition
Error:
! `x1` should have the class <numeric> but has the class <character>.
Code
bake(rec3, x_newdata_2)
Condition
Error:
x `x2` has class <POSIXct/POSIXt/Julian> but only the following are asked: <POSIXct/POSIXt>.
i This error is shown because `allow_additional` is set to "FALSE".
Code
bake(rec6_NULL, sacr_fac[11:20, ])
Condition
Error:
! `city` should have the class <factor> but has the class <character>.
Code
bake(rec6_man, sacr_fac[11:20, ])
Condition
Error:
! `type` should have the class <factor> but has the class <character>.
Code
rec
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 10
-- Operations
* Checking the class(es) 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
* Checking the class(es) for: <none> | Trained
Code
print(rec7)
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 10
-- Operations
* Checking the class(es) for: all_predictors()
Code
prep(rec7)
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
* Checking the class(es) for: cyl, disp, hp, drat, wt, qsec, ... | Trained
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