我创建了20个具有完全相同的体系结构（但种子编号不同）的神经网络模型，并将它们另存为SM1，SM2，…。，SM20。我基本上是想使用joblib函数导入这些模型，并使用平均模型（在此称为NN）来申请各种分析。在Jupyter Notebook中运行此命令时，出现以下错误。感谢任何帮助。
NN1 = joblib.load('SM1.sav')
NN2 = joblib.load('SM2.sav')
NN3 = joblib.load('SM3.sav')
NN4 = joblib.load('SM4.sav')
NN5 = joblib.load('SM5.sav')
NN6 = joblib.load('SM6.sav')
NN7 = joblib.load('SM7.sav')
NN8 = joblib.load('SM8.sav')
NN9 = joblib.load('SM9.sav')
NN10 = joblib.load('SM10.sav')
NN11 = joblib.load('SM11.sav')
NN12 = joblib.load('SM12.sav')
NN13 = joblib.load('SM13.sav')
NN14 = joblib.load('SM14.sav')
NN15 = joblib.load('SM15.sav')
NN16 = joblib.load('SM16.sav')
NN17 = joblib.load('SM17.sav')
NN18 = joblib.load('SM18.sav')
NN19 = joblib.load('SM19.sav')
NN20 = joblib.load('SM20.sav')
NN = (NN1+NN2+NN3+NN4+NN5+NN6+NN7+NN8+NN9+NN10+NN11+NN12+NN13+NN14+NN15+NN16+NN17+NN18+NN19+NN20)/(20)
TypeError：+不支持的操作数类型：“ MLPRegressor”和“ MLPRegressor”