Fixed issues pre-commit

river/model_selection/__init__.py

@@ -18,8 +18,7 @@
 from . import base
 from .bandit import BanditClassifier, BanditRegressor
 from .greedy import GreedyRegressor
-from .hoeffding_races import HoeffdingRaceClassifier
-from .hoeffding_races import HoeffdingRaceRegressor
+from .hoeffding_races import HoeffdingRaceClassifier, HoeffdingRaceRegressor
 from .sh import SuccessiveHalvingClassifier, SuccessiveHalvingRegressor
 
 __all__ = [
@@ -30,5 +29,5 @@
     "SuccessiveHalvingClassifier",
     "SuccessiveHalvingRegressor",
     "HoeffdingRaceClassifier",
-    "HoeffdingRaceRegressor"
+    "HoeffdingRaceRegressor",
 ]

river/model_selection/hoeffding_races.py

@@ -84,17 +84,16 @@ def learn_one(self, x, y):
                     break
 
     def predict_one(self, x):
-
         if len(self.remaining_models) == 1:
             return self.models[list(self.remaining_models)[0]].predict_one(x)
-        return None  
+        return None
 
     def single_model_remaining(self):
         return len(self.remaining_models) == 1
 
 
 class HoeffdingRaceRegressor(base.Regressor):
-    """ 
+    """
     HoeffdingRace-based model selection for regression.
 
     Each models is associated to a performance (here its accuracy). When the model is considered too inaccurate by the hoeffding bound,
@@ -124,7 +123,7 @@ class HoeffdingRaceRegressor(base.Regressor):
     ...
     >>> print(hoeffding_race.remaining_models)
     ['Log_Reg']
-    
+
     """
 
     def __init__(
@@ -165,7 +164,7 @@ def learn_one(self, x, y):
     def predict_one(self, x):
         if len(self.remaining_models) == 1:
             return self.models[list(self.remaining_models)[0]].predict_one(x)
-        return None  
+        return None
 
     def single_model_remaining(self):
         """