如何使用python保存多个模型

Question

如何使用python保存多个SVM模型

我正在尝试通过使用 for 循环范围从列表中获取名称来保存多个模型以保存在路径中。

我的模型工作正常，但在尝试以唯一名称保存每个模型时出现错误。

city_id = ['1', '2', '18', '19', '21', '23', '26', '27', '28', '32', '35', '36', '37', '38', '39', '40', '41',

       '42', '43', '44', '45', '46', '47', '49', '50', '51', '58', '65', '67', '68', '69', '70', '71']

for i in range(len(city_id)):

    joblib.dump(model, 'D:/Model/model_Predict_Locality_predictor_'+ str(city_id[i]) +'.pkl', compress=1)

但是out of range error我也有检查范围，但两个范围都相同。

错误

1

Model Pipeline Created Successfully...

Data fitted Successfully...

Data Predicted Successfully...

Accuracy: 0.9908892595919415

list index out of range

2

Model Pipeline Created Successfully...

Data fitted Successfully...

Data Predicted Successfully...

Accuracy: 0.9790685504971219

list index out of range

准确后，得到如上的错误。

Answer 1

您已用作i两个for循环的索引变量。纠正它，然后尝试！