def METHOD_NAME():
    with open('data/svm_data.pkl', 'rb') as f:
        train_X, train_y, test_X, test_y = pickle.load(f)
    model = SVM()
    model.fit(train_X, train_y, iterations=500, disp = 1)
    print(model.get_params())