How to apply LATC algorithm to my own dataset

xinychen / transdim

Machine learning for transportation data imputation and prediction.

https://transdim.github.io

MIT License

1.22k stars 304 forks source link

How to apply LATC algorithm to my own dataset #20

Closed How-Will closed 1 year ago

How-Will commented 1 year ago

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. Looking forward to your reply

xinychen commented 1 year ago

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