Fei0823

issue of API_3_grid

4

when i run this section of codes, thr following error arise.  Then, i chaged model.act_fun[0].coef[0].shape[0] to model.act_fun[0].coef[0].shape[1], it equals to G+k. However, the following error occurs 

Kan structure still same after prunning and problem with continue training (hellokan)

2

when i run the hellokan tutorial, the Kan plot is same after prunning. After that, i run the following step, continue training, the following error appear. Could anyone tell me...

Bug from the Model agnostic example with KernelExplainer (explains any function) example

1

### Issue Description When i run the Model agnostic example with KernelExplainer (explains any function) example, the following error arise.  ### Minimal Reproducible Example ```python import sklearn import shap...