These are objects that can be used for modeling, especially in conjunction with the parsnip package.
weight_funcsurv_dist
Laplace
neighbors
dist_power
threshold
Each object is generated by either new_quant_param
or
new_qual_param
.
An object of class qual_param
(inherits from param
) of length 5.
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-nearest 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.
dist_power
: The order parameter used in calculating a Minkowski distance.
threshold
: A general thresholding parameter for values between [0, 1]
.