Quantitatively check on variablesSource:
This internal function is to be used in the prep function to ensure that the type of the variables matches the expectation. Throws an error if check fails.
A data frame or tibble of the training data.
A logical indicating whether the data is expected to be numeric (TRUE) or a factor/character (FALSE). Is ignored if
Character vector of allowed types. Following the same types as
has_role(). See details for more.
types is a more fine-tuned way to use this. function compared to using
types should specify all allowed types as designated by
.get_data_types. Suppose you want to allow doubles, integers, characters,
factors and ordered factors, then you should specify
types = c("double", "integer", "string", "factor", "ordered") to get a
clear error message.