encoded_predictor_name: Name of Target-Encoded Predictor

In collinear: Automated Multicollinearity Management

Name of Target-Encoded Predictor

Description

Name of Target-Encoded Predictor

Usage

encoded_predictor_name(
  predictor = NULL,
  encoding_method = "mean",
  smoothing = 0,
  white_noise = 0,
  seed = 1
)

Arguments

predictor	(required; string) Name of the categorical predictor to encode. Default: NULL
encoding_method	(required, string) Name of the encoding method. One of: "mean", "rank", or "loo". Default: "mean"
smoothing	(optional; integer) Groups smaller than this number have their means pulled towards the mean of the response across all cases. Ignored by target_encoding_rank() and target_encoding_loo(). 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

Value

string: predictor name

See Also

Other target_encoding_tools: add_white_noise()

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