Internal function to add white noise to a encoded predictor to reduce the risk of overfitting when used in a model along with the response.
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.- predictor
(required, string) Name of a target-encoded predictor. Default: NULL
- 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
See also
Other target_encoding_tools:
encoded_predictor_name()