diff --git a/abl/learning/abl_model.py b/abl/learning/abl_model.py
index 2f0feeb..f20939c 100644
--- a/abl/learning/abl_model.py
+++ b/abl/learning/abl_model.py
@@ -64,7 +64,7 @@ class ABLModel:
     train(X: List[List[Any]], Y: List[Any])
         Train the model on the given data.
     """
-    def __init__(self, base_model, pseudo_label_list: List[Any]):
+    def __init__(self, base_model, pseudo_label_list: List[Any]) -> None:
         self.cls_list = []
         self.cls_list.append(base_model)
 
diff --git a/abl/reasoning/reasoner.py b/abl/reasoning/reasoner.py
index bacb775..17a27ea 100644
--- a/abl/reasoning/reasoner.py
+++ b/abl/reasoning/reasoner.py
@@ -161,7 +161,7 @@ class ReasonerBase(abc.ABC):
         ----------
         data : tuple
             Tuple containing the predicted results, predicted result probabilities, and y.
-     max_revision : int or float, optional
+        max_revision : int or float, optional
             Maximum number of revisions to use. If float, represents the fraction of total revisions to use. 
             If -1, use all revisions. Defaults to -1.
         require_more_revision : int, optional
@@ -194,7 +194,7 @@ class ReasonerBase(abc.ABC):
             List of predicted results and result probablities.
         Y : list
             List of ground truths.
-     max_revision : int or float, optional
+        max_revision : int or float, optional
             Maximum number of revisions to use. If float, represents the fraction of total revisions to use. 
             If -1, use all revisions. Defaults to -1.
         require_more_revision : int, optional