sklearn两种保存模型的方式
作者:卢嘉颖 链接:https://www.zhihu.com/question/27187105/answer/97334347 来源:知乎 著作权归作者所有,转载请联系作者获得授权。 1. pickle >>> from sklearn import svm >>> from sklearn import datasets >>> clf = svm.SVC() >>> iris = datasets.load_iris() >>> X, y = iris.data, iris.target >>> clf.fit(X, y) SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma='auto', kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False) >>> import pickle >>> s = pickle.dumps(clf) >>> clf2 = pickle.loads(s) >>> clf2.predict(X[0:1]) array([0]) >>> y[0] 0 2. joblib >>> from sklearn.externals import joblib >>> joblib.dump(clf, 'filename.pkl') >>> clf = joblib.load('filename.pkl')