docs(quickadapter): refine comment on HPO parameters ordering

Signed-off-by: Jérôme Benoit <jerome.benoit@piment-noir.org>

diff --git a/quickadapter/user_data/strategies/Utils.py b/quickadapter/user_data/strategies/Utils.py
index 28b41e9241797e03b41f1d102f12e75748bc9ef7..c0c08eb46189f90822af833573eed8180a464107 100644 (file)
--- a/quickadapter/user_data/strategies/Utils.py
+++ b/quickadapter/user_data/strategies/Utils.py
@@ -2220,7 +2220,7 @@ def get_optuna_study_model_parameters(
 
     if regressor == REGRESSORS[0]:  # "xgboost"
         # Parameter order: boosting -> tree structure -> leaf constraints ->
-        #                  sampling -> regularization
+        #                  sampling -> regularization -> binning
         default_ranges: dict[str, tuple[float, float]] = {
             # Boosting/Training
             "n_estimators": (50, 3000),