Hi,
The HistGradientBoostingClassifier model is inspired by LightGBM. However, LightGBM introduces two key innovations related to its sampling techniques—specifically, Gradient-based One-Side Sampling (GOSS) and Exclusive Feature Bundling (EFB).

My question is: where in the HistGradientBoosting implementation can these sampling techniques be applied?
I wasn’t able to find any hyperparameters corresponding to them.

Thank you,