Bart-Jan Verhoeff

Interesting discussion on explainability in relation to EBM. First of all many thanks for creating this great package! My practical experience so far (as a non-mathematician): I tended to agree...

> Hi @onacrame, > > This is a reasonable suggestion, and one we've been thinking about developing on our end too. The main reason we haven't implemented it yet is...

While looking at the forest I didn't see the tree! Obviously your solution looks way more promising both visually and conceptually. I wonder how we could validate that. Would you...

Moved this comment to a new issue: #235

Ah, I understand. Your in-between suggestion, separating the mains and the pairs, might be best of both worlds. Thanks for the answer!

Tried it with separate bounds for interactions, a bit hacky: Code at line 1111 interpret/blob/develop/python/interpret-core/interpret/glassbox/ebm/ebm.py ```python # Obtain min/max for model scores lower_bound = np.inf upper_bound = -np.inf lower_bound_inter =...

If I understand it correctly, a warm_start functionality would enable federated learning in combination with the merge function. This would be a very interesting use case. Or is there another...

Same here, doesn't work for me on windows: looks for python with old path and for application with new path. Any solution would be appreciated...

Important suggestion. This would increase the possible use cases considerable, notably for regulated environments (like ISO 13485 QMS)