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TableTime: Reformulating Time Series Classification as Zero-Shot Table Understanding via Large Language Models

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🌟 If you find this resource helpful, please consider to star this repository and cite our research, thank you! You may cite this paper as the follows:

@article{wang2024tabletime,
  title={TableTime: Reformulating Time Series Classification as Zero-Shot Table Understanding via Large Language Models},
  author={Wang, Jiahao and Cheng, Mingyue and Mao, Qingyang and Liu, Qi and Xu, Feiyang and Li, Xin and Chen, Enhong},
  journal={arXiv preprint arXiv:2411.15737},
  year={2024}
}

Illustration of the TableTime, i.e., a paradigm for MTSC based on table understanding

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Main Results

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Details

api.py refers to the file that uses the API to obtain LLM answers

dataset_index.py refers to the file that gets the dataset index

neighbor_find.py refers to the function of getting the neighbor index

ts_encoding.py refers to the file that gets the data encoding

main.py refers to the encapsulated main function