Hi All, I am very new to Nim, but it seems highly interesting for data science. My nooby question is that is there any comprehensive tutorial or documentation (with best practices etc.), how-to write a wrapper for ML libraries, which otherwise expose a C++ API? E.g.
XGBoost: <https://xgboost.readthedocs.io/en/stable/c++.html> Catboost: <https://catboost.ai/en/docs/concepts/c-plus-plus-api> LightGBM: <https://lightgbm.readthedocs.io/en/latest/C-API.html> I already know that there is a PyTorch wrapper (I am not sure, how up-to-date or ready it is), but I would happily learn how to write bindings for further ML/DL libraries, too. Thanks for your support!
