recipes version 0.1.14,
juice() is superseded in favor of
bake(object, new_data = NULL).
As steps are estimated by
prep, these operations are applied to the
training set. Rather than running
bake() to duplicate this processing, this
function will return variables from the processed training set.
juice(object, ..., composition = "tibble")
One or more selector functions to choose which variables will be
returned by the function. See
Either "tibble", "matrix", "data.frame", or "dgCMatrix" for the format of the processed data set. Note that all computations during the baking process are done in a non-sparse format. Also, note that this argument should be called after any selectors and the selectors should only resolve to numeric columns (otherwise an error is thrown).
juice() will return the results of a recipe where all steps have been
applied to the data, irrespective of the value of the step's
juice() can only be used if a recipe was prepped with
retain = TRUE. This
is equivalent to
bake(object, new_data = NULL) which is the preferred way
to extract the transformation of the training data set.
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