Control aspects of the grid search racing process
control_race( verbose = FALSE, verbose_elim = FALSE, allow_par = TRUE, extract = NULL, save_pred = FALSE, burn_in = 3, num_ties = 10, alpha = 0.05, randomize = TRUE, pkgs = NULL, save_workflow = FALSE, event_level = "first", parallel_over = "everything" )
A logical for logging results as they are generated. Despite
this argument, warnings and errors are always shown. If using a dark IDE
theme, some logging messages might be hard to see. If this is the case,
try setting the
A logical for whether logging of the elimination of tuning parameter combinations should occur.
A logical to allow parallel processing (if a parallel backend is registered).
An optional function with at least one argument (or
A logical for whether the out-of-sample predictions should be saved for each model evaluated.
An integer for how many resamples should be completed for all grid combinations before parameter filtering begins.
An integer for when tie-breaking should occur. If there are
two final parameter combinations being evaluated,
The alpha level for a one-sided confidence interval for each parameter combination.
Should the resamples be evaluated in a random order? By default, the resamples are evaluated in a random order so the random number seed should be control prior to calling this method (to be reproducible). For repeated cross-validation the randomization occurs within each repeat.
An optional character string of R package names that should be loaded (by namespace) during parallel processing.
A logical for whether the workflow should be appended to the output as an attribute.
A single string containing either "first" or "second".
This argument is passed on to
A single string containing either
control_race()#> Racing method control object