spacetimeformer
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Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
Hi! Do you have any ideas about strange shift in predictions? I mean the shape of prediction is pretty well and looks like target, but the distance between context and...
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....
Hello - Thank you for all the improvements in the model, this is truly a very robust implementation. Quick Question: What is the purpose of the ignore_columns parameter within the...
Hello Jake I have a model which uses spatial attention with GAT and temporal attention with Transformers. I am working on Pems bay dataset for my project. During training, the...
After creating the environment and running the script provided in the **Example Spacetimeformer Training Commands** section of the repo, I get the following stack trace: Traceback (most recent call last):...
Extend a dataset for crypto, Price forecasting with more currencies and sentiment.
I want to train spacetimeforme on a custom data said however, I'm struggling a little bit to understand the training code, as there is not much documentation yet. I have...
Hello, this is really a great project. I found it with the Medium article. Would it be possible to add some jupyter notebooks? Like this it would be easier to...
Thanks a lot to the authors for this interesting publication! I was wondering if it would be possible to publish the remaining training commands for all methods to reproduce the...
With some pretty simple changes we can do things like read N + k variables (with k additional sources of information) and still only predict N. Could you elaborate more...