diff --git a/autokoopman/core/scoring.py b/autokoopman/core/scoring.py
index 894a6d1..dace94e 100644
--- a/autokoopman/core/scoring.py
+++ b/autokoopman/core/scoring.py
@@ -30,7 +30,8 @@ def weighted_score(
 
         absdiff = (prediction_data - true_data).abs()
         end_errors = np.array(
-            [norm(weights_f[n] * s.states, axis=1) for n, s in absdiff._trajs.items()]
+            [norm(weights_f[n] * s.states, axis=1) for n, s in absdiff._trajs.items()],
+            dtype=object,
         )
         return np.sum(np.concatenate(end_errors, axis=0))
 
@@ -43,7 +44,7 @@ def end_point_score(true_data: TrajectoriesData, prediction_data: TrajectoriesDa
     @staticmethod
     def total_score(true_data: TrajectoriesData, prediction_data: TrajectoriesData):
         errors = (prediction_data - true_data).norm()
-        end_errors = np.array([s.states.flatten() for s in errors])
+        end_errors = np.array([s.states.flatten() for s in errors], dtype=object)
         return np.mean(np.concatenate(end_errors, axis=0))
 
     @staticmethod