flake8/linter cleanup

src/sageworks/algorithms/dataframe/knn_spider.py

@@ -83,8 +83,14 @@ def from_model(cls, model: Model, id_column: str):
             class_labels = None
 
         # Pass the extracted arguments to the existing __init__ method
-        return cls(df,features=features, target=target, id_column=id_column,
-                   classification=classification, class_labels=class_labels)
+        return cls(
+            df,
+            features=features,
+            target=target,
+            id_column=id_column,
+            classification=classification,
+            class_labels=class_labels,
+        )
 
     def get_neighbor_indices_and_distances(self):
         """Retrieve neighbor indices and distances for all points in the dataset."""
@@ -230,7 +236,7 @@ def _reorder_class_labels(self):
 
     # Regression Test using Training and Test DataFrames
     reg_spider = KNNSpider(
-        training_df, ["feat1", "feat2", "feat3"], target="target",  id_column="ID", classification=False
+        training_df, ["feat1", "feat2", "feat3"], target="target", id_column="ID", classification=False
     )
     reg_predictions = reg_spider.predict(test_df)
     print("Regression Predictions (Test Data):\n", reg_predictions)
@@ -274,4 +280,4 @@ def _reorder_class_labels(self):
 
     # Test the `from_model` class method
     model = Model("wine-classification")
-    spider_from_model = KNNSpider.from_model(model, id_column="id")
+    spider_from_model = KNNSpider.from_model(model, id_column="id")