validate_encoding_arguments: Validates Arguments of 'target_encoding_lab()'

In collinear: Automated Multicollinearity Management

Validates Arguments of target_encoding_lab()

Description

Internal function to validate configuration arguments for target_encoding_lab().

Usage

validate_encoding_arguments(
  df = NULL,
  response = NULL,
  predictors = NULL,
  methods = c("mean", "loo", "rank"),
  smoothing = 0,
  white_noise = 0,
  seed = 0,
  overwrite = FALSE,
  quiet = FALSE
)

Arguments

df	(required; data frame, tibble, or sf) A data frame with responses and predictors. Default: NULL.
response	(optional, character string) Name of a numeric response variable in df. Default: NULL.
predictors	(optional; character vector) Names of the predictors to select from df. If omitted, all numeric columns in df are used instead. If argument response is not provided, non-numeric variables are ignored. Default: NULL
methods	(optional; character vector or NULL). Name of the target encoding methods. If NULL, target encoding is ignored, and df is returned with no modification. Default: c("loo", "mean", "rank")
smoothing	(optional; integer vector) Argument of the method "mean". Groups smaller than this number have their means pulled towards the mean of the response across all cases. Default: 0
white_noise	(optional; numeric vector) Argument of the methods "mean", "rank", and "loo". Maximum white noise to add, expressed as a fraction of the range of the response variable. Range from 0 to 1. Default: 0.
seed	(optional; integer vector) Random seed to facilitate reproducibility when white_noise is not 0. If NULL, the function selects one at random, and the selected seed does not appear in the encoded variable names. Default: 0
overwrite	(optional; logical) If TRUE, the original predictors in df are overwritten with their encoded versions, but only one encoding method, smoothing, white noise, and seed are allowed. Otherwise, encoded predictors with their descriptive names are added to df. Default: FALSE
quiet	(optional; logical) If FALSE, messages generated during the execution of the function are printed to the console Default: FALSE

Value

list

See Also

Other data_validation: validate_data_cor(), validate_data_vif(), validate_df(), validate_predictors(), validate_preference_order(), validate_response()

Examples

validate_encoding_arguments(
  df = vi,
  response = "vi_numeric",
  predictors = vi_predictors
  )

collinear documentation built on April 12, 2025, 1:36 a.m.