IndexError：元组索引超出范围。重塑Keres模型的NumPy测试数据集

Question

我目前正在尝试学习LSTM算法（机器学习），并试图“重塑”我的（NumPy）X测试数据数组。但是，我认为我对数组的大小似乎有疑问！

注意：我已经看过我确实理解的问题reshaping of an nparray returned "IndexError: tuple index out of range"，但是我不能将其应用于我的特殊情况。

注意：我已经问过这个问题了

非常感谢您的帮助

X_test = []
for i in range(60,inputs.shape[0]):
   X_test.append(inputs[i-60:i,0])

X_test = np.array(X_test)
X_test = np.reshape(X_test, (X_test.shape[0],X_test.shape[1],1))
Scores = model.predict(X_test)
Scores = scaler.inverse_transform(Scores)

--------------------------------------------------------------------------   
IndexError                             Traceback (most recent call   last)
<ipython-input-27-f9a35712d57d> in <module>
  1 X_test = np.array(X_test)
----> 2 X_test = np.reshape(X_test, (X_test.shape[0],X_test.shape[1],1))
  3 Scores = model.predict(X_test)
  4 Scores = scaler.inverse_transform(Scores)

IndexError: tuple index out of range