coverage

sklearn/ensemble/tests/test_gradient_boosting.py

@@ -1347,7 +1347,7 @@ def predict(self, X):
     ids=["classification", "regression"])
 def test_gradient_boosting_with_init(task):
     # Check that GradientBoostingRegressor works when init is a sklearn
-    # estimator
+    # estimator.
     # Check that an error is raised if trying to fit with sample weight but
     # inital estimator does not support sample weight
     gb, dataset_maker, init = task
@@ -1361,5 +1361,6 @@ def test_gradient_boosting_with_init(task):
 
     # init does not support sample weights
     init_est = _NoSampleWaightWrapper(init())
+    gb(init=init_est).fit(X, y)  # ok no sample weights
     with pytest.raises(ValueError):
         gb(init=init_est).fit(X, y, sample_weight=sample_weight)