Update random_state gradient_boosting doc
@@ -737,7 +737,9 @@ class HistGradientBoostingRegressor(RegressorMixin, BaseHistGradientBoosting):
optional (default=None)
Pseudo-random number generator to control the subsampling in the
binning process, and the train/validation data split if early stopping
- is enabled. See :term:`random_state`.
+ is enabled.
+ Pass an int for reproducible output across multiple function calls.
+ See :term:`Glossary <random_state>`.
Attributes
----------
@@ -919,7 +921,9 @@ class HistGradientBoostingClassifier(BaseHistGradientBoosting,
optional (default=None)
Pseudo-random number generator to control the subsampling in the
binning process, and the train/validation data split if early stopping
- is enabled. See :term:`random_state`.
+ is enabled.
+ Pass an int for reproducible output across multiple function calls.
+ See :term:`Glossary <random_state>`.
Attributes
----------
