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jpgard authored Dec 15, 2023
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TableShift is a benchmarking library for machine learning with tabular data under distribution shift.

You can read more about TableShift at [tableshift.org](https://tableshift.org/index.html) or read the full paper (published in NeurIPS 2023 Datasets & Benchmarks Track) on [arxiv](https://arxiv.org/abs/2312.07577).
You can read more about TableShift at [tableshift.org](https://tableshift.org/index.html) or read the full paper (published in NeurIPS 2023 Datasets & Benchmarks Track) on [arxiv](https://arxiv.org/abs/2312.07577). If you use the benchmark in your research, please cite the paper:

```
@article{gardner2023tableshift,
title={Benchmarking Distribution Shift in Tabular Data with TableShift},
author={Gardner, Josh and Popovic, Zoran and Schmidt, Ludwig},
journal={Advances in Neural Information Processing Systems},
year={2023}
}
```

If you find an issue, please file a GitHub [issue](https://github.com/mlfoundations/tableshift/issues/new/choose).

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