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Yura52 committed Sep 8, 2023
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:scroll: [arXiv](https://arxiv.org/abs/2106.11959)
:package: [pip-installable package & Illustrations](https://yandex-research.github.io/tabular-dl-revisiting-models)
:books: [Other projects on tabular deep learning](https://github.com/Yura52/rtdl)

#### `(A)` Source code of the paper VS `(B)` Source code of the package<!-- omit in toc -->

- `(A)` (everything except for the `package/` and `docs/` directories) was used to
obtain the results reported in the paper, and contains all small details needed
for that.
- `(B)` (`package/` + `docs/`) is a minimal reimplementation and illustrations of the
core things used in the paper. It may be easier to understand and reuse.

**The rest of this document is about `(A)`, i.e. how to reproduce the results reported in the paper.**

---

Table of Contents:
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- `create_synthetic_data_plots.py` builds plots
- `lib` contains common tools used by programs in `bin`
- `output` contains configuration files (inputs for programs in `bin`) and results (metrics, tuned configurations, etc.)
- `package` contains the Python package for this paper
- `docs` is the automatically generated documentation for the package

The results are represented with numerous JSON files that are scatterd all over the
`output` directory. Check `bin/report.ipynb` to see how the results can be summarized.
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