R/step_impute_mean.R

In orbital: Predict with 'tidymodels' Workflows in Databases

#' @export
orbital.step_impute_mean <- function(x, all_vars, ...) {
	means <- x$means

	means <- means[names(means) %in% all_vars]

	if (length(means) == 0) {
		return(NULL)
	}

	out <- glue::glue(
		"dplyr::if_else(is.na({names(means)}), {means}, {names(means)})"
	)

	names(out) <- names(means)
	out
}