def METHOD_NAME(num_outputs=8):
    """! LSTM Network which uses multiple time steps as input and returns the 8 compartments for one single time step in the future.
    Input and output have shape [number of expert model simulations, time points in simulation, number of individuals in infection states].
    @param num_outputs [Default: 8] Number of compartments. Default value is reached when aggregating the confirmed compartments.
    """
    model = tf.keras.models.Sequential([
        tf.keras.layers.LSTM(32, return_sequences=True),
        tf.keras.layers.Dense(units=num_outputs)
    ])
    return model