jupyter-notebook - 我如何平均 20 个保存的 ANN 模型？

Question

我创建了 20 个具有完全相同架构（但种子编号不同）的神经网络模型，并将它们保存为 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（这里称为 NN）来申请各种分析。当我在 Jupyter Notebook 中运行它时，我收到以下错误。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)

类型错误：+ 的不支持的操作数类型：“MLPRegressor”和“MLPRegressor”

标签： jupyter-notebook