def METHOD_NAME():
    print("LinearRegression")
    X = np.array([[1.0, 1.0], [1.0, 2.0], [2.0, 2.0], [2.0, 3.0]], dtype=np.float32)
    # y = 1 * x_0 + 2 * x_1 + 3
    y = np.dot(X, np.array([1, 2], dtype=np.float32)) + 3
    reg = LinearRegression().fit(X, y)
    print("reg.score(X, y)")
    print(reg.score(X, y))
    print("reg.coef_")
    print(reg.coef_)
    print("reg.intercept_")
    print(reg.intercept_)
    print("reg.predict(np.array([[3, 5]], dtype=np.float32))")
    print(reg.predict(np.array([[3, 5]], dtype=np.float32)))