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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:wanglei5205@126.com 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')