These are objects that can be used for modeling, especially in conjunction with the parsnip package.
weight_funcsurv_dist
Laplace
neighbors
Each object is generated by either new_quant_param or
new_qual_param.
An object of class qual_param (inherits from param) of length 4.
These objects are pre-made parameter sets that are useful in a variety of models.
weight_func: The type of kernel function that weights the distances
between samples (e.g. in a K-near neighbors model).
surv_dist: the statistical distribution of the data in a survival
analysis model (e.g. parsnip::surv_reg()) .
Laplace: the Laplace correction used to smooth low-frequency counts.
neighbors: a parameter for the number of neighbors used in a prototype
model.