Oracle

Oracle/deepfundingoracle.py

@@ -399,7 +399,10 @@ def prepare_dataset(file):
     df = assign_base_weight(df)
     df = sanity_check_weights(df)  # Add sanity-check and ensemble weights
     df = train_predict_weight(df)
-    visualize_feature_distributions(df)  # Add feature visualization
+    if df is not None and not df.empty:
+        visualize_feature_distributions(df)
+    else:
+        print("[WARN] DataFrame is empty after processing. Skipping visualization.")
     df = normalize_funding(df)
     end_time = time.time()
     print(f"[INFO] Dataset preparation completed in {end_time - start_time:.2f} seconds.")