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Author: reddyprasade

Save_Model/Digits_Models.py

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+import joblib
+from sklearn.datasets import load_digits
+from sklearn.linear_model import SGDClassifier
+digits = load_digits()
+clf = SGDClassifier().fit(digits.data, digits.target)
+clf.score(digits.data, digits.target)  # evaluate training error
+
+
+filename = 'digits_classifier.joblib.pkl'
+_ = joblib.dump(clf, filename, compress=9)
+print(_)

Save_Model/Load_Digits_Model.py

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+import joblib
+from sklearn.datasets import load_digits
+filename = 'digits_classifier.joblib.pkl'
+
+digits = load_digits()
+
+clf2 = joblib.load(filename)
+print(clf2.score(digits.data, digits.target))