type argument to be consistent with parsnip. Defaults to NULL, which will produce all prediction types.Updated notes on License Requirements in ?tab_pfn.
control_tab_pfn() now accepts ... to pass additional arguments directly to the TabPFN Python constructor (e.g. model_path).
tab_pfn() gains a version argument to select a specific TabPFN model version (e.g., "v2", "v2.5"). When NULL, the Python library's current
default is used (#15).
New tabpfn_list_versions() returns the model versions supported by the currently installed Python tabpfn library.
Added tabpfn_download_models() to close (#15) @frankiethull