register_dsprrr_engine() registers the llm_predict model and its
"dsprrr" engine with parsnip. dsprrr calls it automatically when parsnip
is loaded, so you rarely need it. It does nothing when parsnip is not
installed or the model is already registered.
See also
Other integrations:
as_dsprrr_metric(),
as_dsprrr_traces(),
as_ellmer_tool(),
as_vitals_cost(),
as_vitals_samples(),
as_vitals_solver(),
as_vitals_task(),
create_search_tool(),
llm_predict(),
ragnar_tool(),
reasoning_effort(),
summarize_traces_df(),
temperature(),
top_p(),
use_dsprrr_template(),
validate_workflow(),
vitals_metrics
Examples
register_dsprrr_engine()
parsnip::show_engines("llm_predict")
#> # A tibble: 2 × 2
#> engine mode
#> <chr> <chr>
#> 1 dsprrr classification
#> 2 dsprrr regression