def METHOD_NAME(n_features, n_hidden, n_out):
    model = tf.keras.models.Sequential()
    model.add(tf.keras.layers.Dense(n_hidden, input_dim=n_features, activation='sigmoid'))
    model.add(tf.keras.layers.Dense(n_out, activation='linear'))
    return model