tabby: Tidy Interfaces for Tabular Deep Learning
Model definitions for fitting, tuning, and predicting with
deep learning models for tabular data using the 'parsnip' and
'tidymodels' frameworks. Supported models include the 'TabPFN'
foundation model of Hollmann et al. (2025)
<doi:10.1038/s41586-024-08328-6>, 'TabICL' by Qu et al. (2025)
<doi:10.48550/arXiv.2502.05564>, 'SAINT' by Somepalli et al. (2021)
<doi:10.48550/arXiv.2106.01342>, and the tabular 'ResNet' of
Gorishniy et al. (2021) <doi:10.48550/arXiv.2106.11959>, among
others. Helper functions are also included to create space-filling
grids for tuning parameters that are defined on a per-layer basis.
These functions define the model interfaces; the computations are
carried out by separate engine packages.
| Version: |
0.0.1 |
| Depends: |
parsnip (≥ 1.6.1), R (≥ 4.1.0) |
| Imports: |
cli, dials (≥ 1.4.4), dplyr, generics, hardhat, purrr, rlang (≥ 1.1.0), tibble |
| Suggests: |
brulee (≥ 1.2.0), modeldata, spelling, testthat (≥ 3.0.0), torch, withr |
| Published: |
2026-10-15 |
| DOI: |
10.32614/CRAN.package.tabby (may not be active yet) |
| Author: |
Max Kuhn  [aut,
cre],
Edgar Ruiz [aut],
Posit Software, PBC  [cph,
fnd] |
| Maintainer: |
Max Kuhn <max at posit.co> |
| BugReports: |
https://github.com/tidymodels/tabby/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/tidymodels/tabby, https://tabby.tidymodels.org/ |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
tabby results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=tabby
to link to this page.