Secilia-Cxy / SOFTS

Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion" in PyTorch.

Home Page:https://arxiv.org/abs/2404.14197

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How to do inference on our own dataset?

DongChen06 opened this issue · comments

Hi authors, thanks for your insightful paper! I am wondering how to make inferences on our own dataset, can you guide me through the steps (checkpoints, fine-tuning, etc). Thanks

Thank you for your question. To make inferences on your own dataset, you can follow the steps outlined in the Custom Datasets section of the README.md file. This process involves training our model using your dataset. If you encounter any issues or need further assistance, please don't hesitate to ask.

Thank you for your hard work.
Could you make an example of use in a Jupyter notebook using some kind of dataset as an example?

Thank you for your hard work. Could you make an example of use in a Jupyter notebook using some kind of dataset as an example?

Of course! We have provided a Jupyter notebook named run_on_your_own_dataset.ipynb, which you can refer to for help.