I fitted a simple binary classification model with only 3 trees and wanted to check if feature importance results are simmillar to the formula in Catboost documentation (PredictionValuesChange).

I am using the example from here.
The example works fine, but, the moment I try to get more flexible with the custom metric class by using self in it, I get hit by a UserWarning: Can't optimze method "evaluate" because self argument is used