num_comp {dials} | R Documentation |
The number of derived predictors from models or feature engineering methods.
num_comp(range = c(1L, unknown()), trans = NULL)
num_terms(range = c(1L, unknown()), trans = NULL)
range |
A two-element vector holding the defaults for the smallest and largest possible values, respectively. If a transformation is specified, these values should be in the transformed units. |
trans |
A |
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_comp()
and num_terms()
is semantics.
num_terms()
num_terms(c(2L, 10L))