weight_func

0th

Percentile

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.

Aliases
  • weight_func
  • misc_parameters
  • surv_dist
  • Laplace
  • neighbors
  • dist_power
  • threshold
Documentation reproduced from package dials, version 0.0.2, License: GPL-2

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