Eagerly initialize the TabPFN Python library — tabpfn

Forces the Python tabpfn library (and its PyTorch dependency) to load now instead of on first use. Because PyTorch bundles its own OpenMP runtime, loading it before any other package that uses OpenMP avoids the segmentation fault described in https://github.com/tidymodels/tabpfn/issues/34.

For this to work, call it as the very first thing in your session, using tabpfn::tabpfn_initialize() (with the :: prefix so it runs before library(tabpfn) and before any other package that might load OpenMP, such as recipes):

tabpfn::tabpfn_initialize()
library(tabpfn)
suppressPackageStartupMessages(library(recipes))
fit_obj <- tab_pfn(mpg ~ ., data = mtcars)

Usage

tabpfn_initialize()

Value

NULL, invisibly. Called for its side effect of loading the Python library.

Examples

if (FALSE) { # \dontrun{
tabpfn::tabpfn_initialize()
library(tabpfn)
} # }