xinychen/transdim

How to apply LATC algorithm to my own dataset

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How-Will commented

I am glad to ask you a question. My dataset is not complete so I want to use LATC for completion. This means I don't have a dense_tensor, so what should I do? My dataset is a matrix with dimension 21x4081, but I added a new dimension to it and converted it into a tensor with dimension 21x1x4081.
If I use sparse_tensor.copy() to instead dense_tensor, RMSE and MAPE was nan.
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Looking forward to your reply

xinychen commented

You can try to mask a certain amount of observations as missing values.