Mateusz Krzyziński

Hi, there is no such plan at the moment. However, I'll leave the issue open to perhaps address it in the future.

Hmm, in that case, I'll try to rethink the structure for handling non-single-number predictions so that multi-output regression can be also supported.

Unfortunately, this is not possible in treeshap at the moment 😕 I will leave the issue open to perhaps address it in the future.

Missing values are expected in this column as they occur for every leaf node, so it is unlikely that this is the cause. However, I wasn't able to reproduce this...

Hi, Currently, the exact values of Kernel SHAP are calculated. However, if you have 8 variables, it shouldn't be a problem (as you can see in the experiments). We're not...

Hi, thanks for your interest! SurvSHAP(t) can definitely be used for deep learning models, there are no theoretical counter-arguments for that. In fact, it is a good idea because the...

implementation can be based on #15

Unfortunately, this is not the functionality of this package. SurvSHAP(t) returns the contributions of each covariate to the survival function prediction obtained by using another model. The fact is that...

Hi, I fixed it and now `check_additivity=False` should work (there's a new version of the package at PyPI and repository). However, such a large difference in values seems really suspicious....

To be honest, I haven't encountered this problem and can't reproduce it, at least on the few datasets I just tested. Could you please send a reproducible example with the...