tabpfn: Prior-Data Fitted Network Foundational Model for Tabular Data
Provides a consistent API for classification and regression models
based on the 'TabPFN' model of Hollmann et al. (2025), "Accurate predictions
on small data with a tabular foundation model," Nature, 637(8045)
<doi:10.1038/s41586-024-08328-6>. The calculations are served via 'Python'
to train and predict the model.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
cli, dplyr, generics, hardhat, purrr, reticulate (≥
1.41.0.1), rlang (≥ 1.1.0), tibble |
| Suggests: |
covr, modeldata, recipes, spelling, testthat (≥ 3.0.0) |
| Published: |
2026-03-18 |
| DOI: |
10.32614/CRAN.package.tabpfn (may not be active yet) |
| Author: |
Max Kuhn  [aut,
cre],
Posit Software, PBC  [cph,
fnd] |
| Maintainer: |
Max Kuhn <max at posit.co> |
| BugReports: |
https://github.com/tidymodels/tabpfn/issues |
| License: |
Apache License (≥ 2) |
| URL: |
https://tabpfn.tidymodels.org,
https://github.com/tidymodels/tabpfn |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
tabpfn results |
Documentation:
Downloads:
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