For a recipe with at least one preprocessing step that has been trained by
prep.recipe, apply the computations to new data.
bake(object, ...)# S3 method for recipe
bake(object, newdata = object$template, ...)
A trained object such as a recipe with at least
one preprocessing step.
One or more selector functions to choose which variables will be
returned by the function. See selections for more details.
If no selectors are given, the default is to use
all_predictors.
A data frame or tibble for whom the preprocessing will be applied.
A tibble that may have different columns than the original columns
in newdata.
bake takes a trained recipe and applies the
operations to a data set to create a design matrix.
If the original data used to train the data are to be processed, time can be
saved by using the retain = TRUE option of prep to
avoid duplicating the same operations.
A tibble is always returned but can be easily converted to a data frame or matrix as needed.