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ECOD and COPOD `explain_outlier` on new data?
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
Sorry for being late. This is possible during the test time....since we just simply concatenate the train and test for prediction....so it should be simple. will consider an update.