Tianxiang Zhan

问题66的提交没有发布到pypi,github actions错误

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如题

I would like to share our recent work on time series prediction. **Time Evidence Fusion Network (TEFN)** is a model that balances **performance, accuracy, stability, and interoperability**. We propose a...

Add TEFN model

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Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting" (TEFN) is available on [](https://github.com/ztxtech/Time-Evidence-Fusion-Network). We proposed a new model TEFN and developed based [](https://github.com/thuml/Time-Series-Library). Our...

Change type of 'TEFN' from  to 

Add the paper "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting"

Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting" (TEFN) is available on [](https://github.com/ztxtech/Time-Evidence-Fusion-Network). Our preprint is available on [](https://arxiv.org/abs/2405.06419).

## Description It is recommended that add Time Evidence Fusion Network (TEFN) model from paper [](https://arxiv.org/abs/2405.06419). Time Evidence Fusion Network (TEFN) is a groundbreaking deep learning model designed for long-term...

我认为merge一下有利于TSlib的使用体验，因为本身不会影响TSlib的结构，也完善了json的方案。 虽然json不会匹配默认的缺省项目，但json可以更加方便的查看全部设定细节，甚至保存部分运行参数。 _Originally posted by @ztxtech in https://github.com/thuml/Time-Series-Library/issues/406#issuecomment-2115202186_