extract_ptype {hardhat} | R Documentation |
Extract a prototype
Description
extract_ptype()
extracts a tibble with 0 rows from data
. This contains
all of the required information about column names, classes, and factor
levels that are required to check the structure of new data at prediction
time.
Usage
extract_ptype(data, ..., call = current_env())
Arguments
data |
A data frame or matrix. |
... |
These dots are for future extensions and must be empty. |
call |
The call used for errors and warnings. |
Details
extract_ptype()
is useful when creating a new preprocessing blueprint
. It
extracts the required information that will be used by the validation checks
at prediction time.
Value
A 0 row slice of data
after converting it to a tibble.
Examples
hardhat:::extract_ptype(iris)
[Package hardhat version 1.4.1 Index]