save
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)
# # method 1:pickle
# import pickle
# # 写入
# # with open('save/clf.pickle', 'wb') as f:
# # pickle.dump(clf, f)
# # 导出
# with open('save/clf.pickle', 'rb') as f:
# clf2 = pickle.load(f)
# print(clf2.predict(X[0:1]))
# # method 2: joblib # 快一点
# import joblib
# # # 写入
# # joblib.dump(clf, 'save/clf.pkl')
# # 导出
# clf3 = joblib.load('save/clf.pkl')
# print(clf3.predict(X[0:1]))
