import tensorflow as tffrom tensorflow import kerasimport numpy as npimport osos.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'model=keras.Sequential([keras.layers.Dense(units=1, input_shape=[1])])model.compile(optimizer='sgd', loss='mean_squares_error')xs = np.array([-1.0, 0.0, 1.0, 2.0, 3.0, 4.0], dtype=float)ys = np.array([-3.0, -1.0, 1.0, 3.0, 5.0, 7.0], dtype=float)model.fit(xs, ys, epochs=500)