t, we fit a GLM using the one-hot-encoded features and the response. Finally, we re-arrange the fitted GLM coefficients into GAM format. If monotonic constraints are specified, we use the constrained GLM instead.</p></li>
<li><p>XGB with ordinal encoding: Firstly, we transform each feature using ordinal encoding based on the binning results. Next, we fit another XGB model on the ordinal-encoded features and the response. Finally, we re-arrange the fitted XGB leaf values into GAM format. If monotonic constra