diff --git a/river/base/__init__.py b/river/base/__init__.py
index 2d6f2c2c97..a92e437b32 100644
--- a/river/base/__init__.py
+++ b/river/base/__init__.py
@@ -15,6 +15,7 @@
 from __future__ import annotations
 
 from . import tags, typing
+from .adpredictor import AdPredictor
 from .base import Base
 from .classifier import Classifier, MiniBatchClassifier
 from .clusterer import Clusterer
@@ -35,7 +36,6 @@
     Transformer,
 )
 from .wrapper import Wrapper
-from .adpredictor import AdPredictor
 
 __all__ = [
     "AdPredictor",
diff --git a/river/base/adpredictor.py b/river/base/adpredictor.py
index bcd5deb49f..e95b581ffd 100644
--- a/river/base/adpredictor.py
+++ b/river/base/adpredictor.py
@@ -10,6 +10,7 @@
 def default_weight():
     return {"mean": 0.0, "variance": 1.0}
 
+
 class AdPredictor(Classifier):
     """AdPredictor, developed by Microsoft, is a machine learning algorithm designed to predict the probability of user
     clicks on online advertisements. This algorithm plays a crucial role in computational advertising, where predicting
@@ -66,7 +67,6 @@ def train_and_test(model, data):
 
     config = namedtuple("config", ["beta", "prior_probability", "epsilon", "num_features"])
 
-
     def __init__(self, beta=0.1, prior_probability=0.5, epsilon=0.1, num_features=10):
         # Initialization of model parameters
         self.beta = beta
diff --git a/river/linear_model/__init__.py b/river/linear_model/__init__.py
index 33d6cfa05e..756720490a 100644
--- a/river/linear_model/__init__.py
+++ b/river/linear_model/__init__.py
@@ -11,8 +11,6 @@
 from .perceptron import Perceptron
 from .softmax import SoftmaxRegression
 
-
-
 __all__ = [
     "base",
     "ALMAClassifier",
@@ -23,6 +21,4 @@
     "PARegressor",
     "Perceptron",
     "SoftmaxRegression",
-
-
 ]