d3 = np.array(X_test)
d4 = np.array(y_test)

score = model.evaluate(d3, d4, batch_size=128)

x_week_prediction = []
for week in range(7):
    m = [x for x in mean_values]
    m[0] = week
    m[1] = 12
    x_week_prediction.append(m)
x_week_prediction = np.array(x_week_prediction)
week_result = model.predict(x_week_prediction, batch_size=None, verbose=0)

TypeError: float() argument must be a string or a number, not 'NoneType'