[BUG] Possible error in computation of WLSV???

[jiahao87]

Describe the bug The diagonal matrix for the WLSV method currently is computed by the code below under hts.functions.optimal_combination function:

elif method == MethodT.WLSV.name:
    diag = [mse[key] for key in mse.keys()]
    diag = np.diag(np.flip(np.hstack(diag) + 0.0000001, 0))

Is there a reason for the np.flip? I am assuming that the mse.keys() are in the same order as the forecasts parameter to hts.functions.optimal_combination function. By flipping the array, the base forecast errors will be presented in the diagonal matrix in a reverse order.

Example:

>>> mse = {'total': 10, 'subtotal1': 5, 'subtotal2': 3}

>>> diag = [mse[key] for key in mse.keys()]

>>> diag = np.diag(np.flip(np.hstack(diag) + 0.0000001, 0))

>>> diag
array([[ 3.0000001,  0.       ,  0.       ],
       [ 0.       ,  5.0000001,  0.       ],
       [ 0.       ,  0.       , 10.0000001]])

However, referring to the formula here, I am expecting diagonal matrix to be:

array([[ 10.0000001,  0.       ,  0.       ],
       [ 0.       ,  5.0000001,  0.       ],
       [ 0.       ,  0.       , 3.0000001]])

To Reproduce Steps to reproduce the behavior

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Expected behavior A clear and concise description of what you expected to happen.

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Desktop (please complete the following information):

• OS: Windows10
• scikit-hts version: 0.5.12
  • Python version: 3.7

Additional context Add any other context about the problem here.

Much appreciation for any clarification and your patience if I misunderstood something. Thank you for your great work here.