QData / spacetimeformer

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
https://arxiv.org/abs/2109.12218
MIT License
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How to interpret the forecast results of Toy2, exchange, NY-TX datasets #47

Open GA12WAINM opened 2 years ago

GA12WAINM commented 2 years ago

Hello dear author! Recently, after I modified it, I tested the effect on toy2, exchange and NY-TX according to the original text, and got the effect picture in the article. What are their respective prediction targets on these three datasets?(use the specified command without modification) (1) In the test of the toy2 data set, wandb records the prediction results of the test set at different time steps, with eight pictures at a single time step. In the test set of toy2, how to determine the part of the time period corresponding to the multivariate prediction output? toy2 toy2_8 (2) The result output on the exchange is also a single time step with eight pictures. Are the eight graphs here one-to-one corresponding to the exchange rates of eight different countries? (Use several other countries and national data as multivariate input to predict the output of the country) exchange (3) What is the prediction goal of the NY-TX dataset, is it to combine the data of these six sites to predict one of the sites? The article states that the experiment forecasts the temperature of three weather stations in Texas and three in New York. Appendix C.1 shows the forecast map for one of these stations (Figure 6). With so many diagrams, how do we determine which station is being predicted, and what is the approximate time period corresponding to the prediction? image

meerahshivn commented 2 years ago

Hi, I have the same doubt…have you figure it out?