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TimesNet, Autoformer, and other work about time series at Tsinghua are great. Is there any chance that this project will turn into a package of time series forecasting like gluonts or pytorch-forecasting, or even more functions like classification and anomaly detaction? I think lots of developers will very wish to use it although the amount of your work may be huge😆
The text was updated successfully, but these errors were encountered:
Hey there, I'm interested in understanding how this library might be applied to airline ticket price prediction. The one-way price tracing appears to align closely with the benchmark dataset. However, my primary concern is its practicality when dealing with numerous provider and route combinations. Could you provide some guidance or insights on this matter? It's been a challenging concept for me to grasp.
TimesNet, Autoformer, and other work about time series at Tsinghua are great. Is there any chance that this project will turn into a package of time series forecasting like gluonts or pytorch-forecasting, or even more functions like classification and anomaly detaction? I think lots of developers will very wish to use it although the amount of your work may be huge😆
The text was updated successfully, but these errors were encountered: