ECOD and COPOD `explain_outlier` on new data?

Created by: romanovzky

Hi there,

Really like the python package, have been using it for a while. I was wondering if it was possible for explain_outlier method in ECOD and COPOD to be adapted as to accept new data not used during training?

Or at least to return the scores per feature given a event, as I don't need the graphic just to interpret why something was flagged as anomalous/has such a high anomaly score.

Cheers