Closed gsganden closed 1 year ago
I think we can use Model Inspector with XGBoost by way of the xgboost library's sklearn wrapper, but I haven't confirmed that, we might not want to use the wrapper, and we might want to add some XGBoost-specific methods (e.g. learning curves).
We currently support
scikit-learn
models only. Adding support forxgboost
might not be too difficult and would make the library more relevant for practitioners.