DOC AdaboostRegressor does not require the base estimator to support sample weight
@@ -869,8 +869,8 @@ class AdaBoostRegressor(BaseWeightBoosting, RegressorMixin):
----------
base_estimator : object, optional (default=None)
The base estimator from which the boosted ensemble is built.
- Support for sample weighting is required. If ``None``, then
- the base estimator is ``DecisionTreeRegressor(max_depth=3)``
+ If ``None``, then the base estimator is
+ ``DecisionTreeRegressor(max_depth=3)``.
n_estimators : integer, optional (default=50)
The maximum number of estimators at which boosting is terminated.
