AgainCommitWithThreshold

expense_predictor.py

@@ -189,7 +189,7 @@ def predict_expenses(expenses: list[dict], target_user_id, debug: bool = False)
             pct = count / total_records * 100
             print(f"[PREDICT]   supplier_id={supplier_id} -> {count} records ({pct:.1f}%)")
 
-    # Select suppliers whose frequency is strictly greater than 50% of the top supplier frequency.
+    # Select suppliers whose frequency is strictly greater than 50% of the top supplier frequency
     max_freq = max(supplier_freq.values()) if supplier_freq else 0
     freq_threshold = 0.5 * max_freq
     candidate_items = [