Package: tabpfn 0.2.0.9000
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:
tabpfn_0.2.0.9000.tar.gz
tabpfn_0.2.0.9000.zip(r-4.7)tabpfn_0.2.0.9000.zip(r-4.6)tabpfn_0.2.0.9000.zip(r-4.5)
tabpfn_0.2.0.9000.tgz(r-4.6-any)tabpfn_0.2.0.9000.tgz(r-4.5-any)
tabpfn_0.2.0.9000.tar.gz(r-4.7-any)tabpfn_0.2.0.9000.tar.gz(r-4.6-any)
tabpfn_0.2.0.9000.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
Last updated from:3da6e6e54f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 191 | ||
| source / vignettes | OK | 202 | ||
| linux-release-x86_64 | OK | 184 | ||
| macos-release-arm64 | OK | 129 | ||
| macos-oldrel-arm64 | OK | 140 | ||
| windows-devel | OK | 224 | ||
| windows-release | OK | 208 | ||
| windows-oldrel | OK | 224 | ||
| wasm-release | OK | 120 |
Exports:augmentcontrol_tab_pfnis_tab_pfn_installedtab_pfntabpfn_download_modelstabpfn_list_versions
Dependencies:clidplyrgenericsgluehardhatherejsonlitelatticelifecyclemagrittrMatrixpillarpkgconfigpngpurrrR6rappdirsRcppRcppTOMLreticulaterlangrprojrootsparsevctrstibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Controlling TabPFN execution | control_tab_pfn |
| Check the Python package installation | is_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 checkpoints | tabpfn_download_models |
| List available TabPFN model versions | tabpfn_list_versions |
