Confusing documentation on scaling of control variables

[kb-open]

Documentation located at https://www.pymc-marketing.io/en/stable/notebooks/mmm/mmm_example.html says that "input scaling of channel spends or control features" and "inverse scaling back to target domain" at the time of out-of-sample predictions are taken care of automatically by MMM.

However, documentation located at https://www.pymc-marketing.io/en/0.6.0/api/generated/pymc_marketing.mmm.delayed_saturated_mmm.DelayedSaturatedMMM.html says that "If control variables are present, we do not scale them! If needed please do it before passing the data to the model."

When these statements are viewed together, it becomes confusing for control variables. Does the user need to scale the control variables? Or does MMM take care of scaling control variables internally?

Kindly clarify.

[AnantChandra]

Control variables must be scaled manually: users need to scale control variables themselves before inputting them into the MMM. The model does not perform this scaling automatically.