修复预测脚本和训练脚本的执行bug

FC_ML_Data/FC_ML_Data_Process/Data_Process_Normalization.py

@@ -20,10 +20,10 @@ class Normalizer:
             self.params['max_abs'] = data.abs().max(dim=0)[0]
         return self
 
-    def load_params(self,method = "minmax",min_in = 0,max_in = 0,mean_in =0,std=0,max_abs=0):
+    def load_params(self,method = "minmax",min_in = [],max_in = [],mean_in =[],std=[],max_abs=[]):
         self.method = method
-        self.params['min'] = min_in
-        self.params['max'] = max_in
+        self.params['min'] = torch.tensor(min_in)
+        self.params['max'] = torch.tensor(max_in)
         self.params['mean'] = mean_in
         self.params['std'] = std
         self.params['max_abs'] = max_abs