Package index • nestedtune

Nested resampling

Build a nested resampling design whose size does not grow by a copy of the data for every outer fold.

nested_resamples(): Build a nested resampling design without copying the data per outer fold

Running the loop

Tune on each outer fold’s inner resamples, select, then fit and score on the outer split — and keep what each fold chose.

nested_tune_grid(): Run the nested cross-validation loop
collect_metrics(<nested_results>): Collect the metrics from a nested resampling run
print(<nested_results>): Print a nested cross-validation result
autoplot(<nested_results>): Plot a nested cross-validation result

The final model

Run the same tuning procedure once more with the whole dataset in hand, and get back the model to deploy — as its own object, never a field on the results.

nested_final_fit(): Fit the final model after nested cross-validation
print(<nested_final_fit>): Print a final fit
extract_tune_results(): Extract the tuning run a final fit was selected from
extract_scored_candidates(): Extract the candidates a final fit actually scored

Re-exports

reexports collect_metrics extract_workflow autoplot: Objects exported from other packages