Apply stored z-standardization to environmental predictors

Re-applies the constants learned by compute_env_scaling() to env. The transformation uses the stored mean/sd only and never recomputes them from env, so calibration and prediction use an identical transformation (the usual pitfall of scale() inside a model formula is avoided).

Usage

apply_env_scaling(env, scaling)

Arguments

env

A data.frame/data.table of raw environmental data.

scaling

The data.frame returned by compute_env_scaling(), or NULL (in which case env is returned unchanged). For a model fit with env_autoscale = TRUE this is model$env_scaling.

Value

env with the scaled predictor columns, as a data.table.

See also

compute_env_scaling, fit

Examples

if (FALSE) { # \dontrun{
# reproduce the standardization a fitted model used (e.g. before a manual /
# DALEX ALE on a model fit with env_autoscale = TRUE):
env_scaled <- apply_env_scaling(env_dt, model$env_scaling)
} # }