TiDE - Forecasting in the lodging world
Note that the development of this article was stopped after I noticed a problem in the TiDE official implementation. After noticing the bug, I realized an issue was already opened in the repo: LINK . You can still read the article as it provides some key insights of how to formalize the forecasting problem for lodging signals, but I'm not using this model in the end and won't provide any additional detail for the implementation. I'm currently writing an article on how to implement the SOFTS paper in tensorflow for this same use case, which is a pretty cool paper (I made sure that there were no blatant issues this time 👀) and also quite similar to TiDE as it's mostly using simple dense layers in an encoder-decoder style. So stay tuned ! If you take time to read the code and the paper carefully, you'll actually realize that the TiDE model is nothing but... a linear regression using the target lags ! All of the deep learning technicalities, the encoder and the d...