날짜 수정

backend/app/services/ml_ensemble.py

@@ -56,6 +56,9 @@ class StockLSTM:
         self.dropout = dropout
         self.model = None
         self.device = None
+        # 정규화 파라미터 — train_model() 또는 load() 전까지 None
+        self.seq_mean: Optional[np.ndarray] = None
+        self.seq_std: Optional[np.ndarray] = None
         self._build()
 
     def _build(self):
@@ -148,7 +151,7 @@ class StockLSTM:
     def predict_proba(self, X_seq: np.ndarray) -> np.ndarray:
         """예측 확률 반환 (N, 3)"""
         torch, nn = _get_torch()
-        if torch is None or self.model is None:
+        if torch is None or self.model is None or self.seq_mean is None or self.seq_std is None:
             return np.full((len(X_seq), 3), 1.0 / 3)
 
         self.model.eval()