ptype.md
In recipes: Preprocessing and Feature Engineering Steps for Modeling

recipes_ptype_validate() works

Code
  recipes_ptype_validate(rec, data_new)
Condition
  Error:
  ! Not all variables in the recipe are present in the supplied training set: `id`.

Code
  recipes_ptype_validate(rec, data_new)
Condition
  Error:
  ! Not all variables in the recipe are present in the supplied training set: `id` and `x1`.

Code
  recipes_ptype_validate(rec, data_new)
Condition
  Error:
  x The following variable has the wrong class:
  * `id` must have class <numeric>, not <integer>.

Code
  recipes_ptype_validate(rec, data_new)
Condition
  Error:
  x The following variables have the wrong class:
  * `id` must have class <numeric>, not <integer>.
  * `x2` must have class <integer>, not <factor>.
  * `y` must have class <numeric>, not <integer>.

Code
  recipes_ptype_validate(rec, data_new)
Condition
  Error:
  x The following variable has the wrong attributes: `x1`.
  Run `lapply(recipes_ptype(rec), attributes)` to see expected attributes. For `rec` being the name of your recipe.

Code
  recipes_ptype_validate(rec, data_new)
Condition
  Error:
  x The following variables have the wrong attributes: `id` and `x1`.
  Run `lapply(recipes_ptype(rec), attributes)` to see expected attributes. For `rec` being the name of your recipe.

Code
  recipes_ptype_validate(rec, data_new)
Condition
  Error:
  x The following variable has the wrong attributes: `x2`.
  * The factor levels of `x2` don't match.
  Run `lapply(recipes_ptype(rec), attributes)` to see expected attributes. For `rec` being the name of your recipe.