# weight_func

##### Parameter objects related to miscellaneous models.

These are objects that can be used for modeling, especially in conjunction with the parsnip package.

- Keywords
- datasets

##### Usage

`weight_func`surv_dist

Laplace

neighbors

dist_power

threshold

##### Details

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]`

.

##### Value

Each object is generated by either `new_quant_param`

or
`new_qual_param`

.

##### Format

An object of class `qual_param`

(inherits from `param`

) of length 5.

*Documentation reproduced from package dials, version 0.0.2, License: GPL-2*