Oracle

Oracle/deepfundingoracle.py

@@ -339,6 +339,9 @@ def visualize_feature_distributions(df):
     Visualizes feature distributions and correlations.
     """
     print("[INFO] Visualizing feature distributions and correlations...")
+    if not plt or not sns:
+        print("[ERROR] Matplotlib or Seaborn not available for visualization.")
+        return
     numeric_cols = df.select_dtypes(include=[np.number]).columns
 
     # Plot feature distributions
@@ -362,14 +365,13 @@ def normalize_and_clip_weights(df,group_col="parent",weight_col ="final_weight")
     df[weight_col] = df[weight_col].clip(lower=0)
 
     #Normalize weights within each group
-    def normalize_group(x):
-           total = x.sum()
-           if total>0:
-               return x/total
-           else:
-               return np.ones_like(x)/ len(x)
-           df[weight_col] = df.groupby(group_col)[weight_col].transform(normalize_group)
-           return df
+def normalize_group(x):
+    total = x.sum()
+    if total>0:
+        return x/total
+    return np.ones_like(x)/ len(x)
+    df[weight_col] = df.groupby(group_col)[weight_col].transform(normalize_group)
+    return df
 
 
 def normalize_funding(df):