Package: tabpfn 0.4.0.9000

Max Kuhn

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.

Authors:Max Kuhn [aut, cre], Edgar Ruiz [aut], Posit Software, PBC [cph, fnd]

tabpfn_0.4.0.9000.tar.gz
tabpfn_0.4.0.9000.zip(r-4.7-any)tabpfn_0.4.0.9000.zip(r-4.6-any)tabpfn_0.4.0.9000.zip(r-4.5-any)
tabpfn_0.4.0.9000.tgz(r-4.6-any)tabpfn_0.4.0.9000.tgz(r-4.5-any)
tabpfn_0.4.0.9000.tar.gz(r-4.7-any)tabpfn_0.4.0.9000.tar.gz(r-4.6-any)
tabpfn_0.4.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tabpfn/json (API)

# Install 'tabpfn' in R:
install.packages('tabpfn', repos = c('https://tidymodels.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tidymodels/tabpfn/issues

Pkgdown/docs site:https://tabpfn.tidymodels.org

On CRAN:

Conda:

6.33 score 34 stars 26 scripts 586 downloads 8 exports 28 dependencies

Last updated from:35384b1e14. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK203
source / vignettesOK209
linux-releaseOK201
macos-releaseOK166
macos-oldrelOK153
windows-develOK228
windows-releaseOK249
windows-oldrelOK233
wasm-releaseOK123

Exports:augmentcontrol_tab_pfninstall_tabpfnis_tab_pfn_installedtab_pfntabpfn_download_modelstabpfn_initializetabpfn_list_versions

Dependencies:clidplyrgenericsgluehardhatherejsonlitelatticelifecyclemagrittrMatrixpillarpkgconfigpngpurrrR6rappdirsRcppRcppTOMLreticulaterlangrprojrootsparsevctrstibbletidyselectutf8vctrswithr

Readme and manuals

Help Manual

Help pageTopics
Controlling TabPFN executioncontrol_tab_pfn
Install the TabPFN Python environmentinstall_tabpfn
Check the Python package installationis_tab_pfn_installed
Predict using 'TabPFN'augment.tab_pfn predict.tab_pfn
Fit a TabPFN model.tab_pfn tab_pfn.data.frame tab_pfn.default tab_pfn.formula tab_pfn.matrix tab_pfn.recipe
Download all TabPFN pre-trained model checkpointstabpfn_download_models
Eagerly initialize the TabPFN Python librarytabpfn_initialize
List available TabPFN model versionstabpfn_list_versions