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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 |
| 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:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=tabpfn
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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