How to save a trained model by scikit-learn? [duplicate]
You can use: 1. pickle from sklearn import svm from sklearn import datasets iris = datasets.load_iris() X, y = iris.data, iris.target clf = svm.SVC() clf.fit(X, y) ########################## # SAVE-LOAD using pickle # ########################## import pickle # save with open(‘model.pkl’,’wb’) as f: pickle.dump(clf,f) # load with open(‘model.pkl’, ‘rb’) as f: clf2 = pickle.load(f) clf2.predict(X[0:1]) 2. joblib … Read more