def __init__ (self):
    self.model = Sequential()
    self.model.add(Dense(4, input_shape=(4,), activation='linear'))
    self.model.compile(optimizer='adam', loss='mse')
def run(self):
    x = [1., 1., 1., 1.]
    print('x:', x, 'x shape:', np.shape(x))
    y = [0., 0., 0., 0.]
    print('y:', y, 'y shape:', np.shape(y))
    self.model.fit(x, y, batch_size=1, epochs=1, verbose=2)