Update evaluation.py

evaluation.py

@@ -188,6 +188,13 @@ def calculate_metrics(question, q_dataset, response, docs, time_taken):
     else:
         predicted_metrics["rmse"] = "Invalid RMSE calculation"
         '''
+    for metric_name in predicted_metrics_rmse:
+        predicted_value = predicted_metrics_rmse[metric_name]     
+        print(f"RMSE for {metric_name}: {predicted_value}")
+    for metric_name in ground_truth_metrics:
+        ground_truth_value = ground_truth_metrics[metric_name]     
+        print(f"RMSE for {metric_name}: {ground_truth_value}")
+        
     if isinstance(predicted_metrics_rmse, (int, float)) and isinstance(ground_truth_metrics, (int, float)):
         rmse_value = compute_rmse(predicted_metrics_rmse.values(), ground_truth_metrics.values())
         predicted_metrics["rmse"] = rmse_value  # Adding RMSE to metrics