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- # View more python tutorials on my Youtube and Youku channel!!!
- # Youtube video tutorial: https://www.youtube.com/channel/UCdyjiB5H8Pu7aDTNVXTTpcg
- # Youku video tutorial: http://i.youku.com/pythontutorial
- """
- Please note, this code is only for python 3+. If you are using python 2+, please modify the code accordingly.
- """
- from __future__ import print_function
- 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
- # save
- with open('save/clf.pickle', 'wb') as f:
- pickle.dump(clf, f)
- # restore
- with open('save/clf.pickle', 'rb') as f:
- clf2 = pickle.load(f)
- print(clf2.predict(X[0:1]))
- # method 2: joblib
- from sklearn.externals import joblib
- # Save
- joblib.dump(clf, 'save/clf.pkl')
- # restore
- clf3 = joblib.load('save/clf.pkl')
- print(clf3.predict(X[0:1]))
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