Ashan Sandeepa
Ashan Sandeepa
``` ~/.local/lib/python3.6/site-packages/alibi/explainers/anchor_tabular.py in perturbation(self, anchor, num_samples) 278 ) 279 nb_partial_anchors = np.array([len(n_records) for n_records in reversed(partial_anchor_rows)]) --> 280 coverage = nb_partial_anchors[-1] / self.n_records 281 282 # if there are enough...
Can you please update a simple regression example of this package?
When the base score is changed the prediction of the model and the prediction from contributions are not same