The number of derived predictors from models or feature engineering methods.
A two-element vector holding the defaults for the smallest and largest possible values, respectively.
Since the scale of these parameters often depends on the number of columns
in the data set, the upper bound is set to
unknown. For example, the
number of PCA components is limited by the number of columns and so on.
The difference between
num_terms() is semantics.
num_terms()#> # Model Terms (quantitative) #> Range: [1, ?]num_terms(c(2L, 10L))#> # Model Terms (quantitative) #> Range: [2, 10]