原创博文,转载请注明出处!
sklearn中保存和加载模型的方法
1.载入模块
1 from sklearn.externals import joblib
2.保存模型
1 joblib.dump(model,'filename.pkl')
3.加载模型
1 model = joblib.load('filename.pkl')
4.例子
1 # -*- coding: utf-8 -*-
2 """
3 # 作者:wanglei5205
4 # 邮箱:[email protected]
5 # 博客:http://cnblogs.com/wanglei5205
6 # github:http://github.com/wanglei5205
7 """
8 ### 导入模块
9 from sklearn.datasets import load_iris
10 from sklearn import svm
11 from sklearn.externals import joblib
12
13 iris = load_iris()
14 x,y = iris.data,iris.target
15
16 model = svm.SVC()
17 model.fit(x,y)
18
19 joblib.dump(model,'dump_model.pkl')
20
21 model_new = joblib.load('dump_model.pkl')