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Apply data-driven rbf_sigma to all psvr workflows in a workflow set

psvr_option_add.Rd

A convenience wrapper that calls workflowsets::option_add() for every psvr workflow in wf_set (those whose wflow_id contains "m1", "m2", "m3", or "m4"), replacing the rbf_sigma dials parameter with a data-driven one built from X via rbf_sigma_psvr_data().

Usage

psvr_option_add(wf_set, X, width = 10, sample_size = 500L, seed = NULL)

Arguments

wf_set

A workflow_set object.

X

A numeric matrix or data frame of preprocessed predictors.

width

Positive scalar. Passed to rbf_sigma_psvr_data(). Default 10.

sample_size

Integer. Passed to sigma_heuristic(). Default 500L.

seed

Integer seed for subsampling. Default NULL.

Value

The updated workflow_set (the same object with option_add() applied to each psvr workflow).

See also

rbf_sigma_psvr_data(), sigma_heuristic()

Examples

if (FALSE) { # \dontrun{
# After building wf_set and preprocessing:
train_baked <- rec |> prep() |> bake(new_data = train)
wf_set <- psvr_option_add(wf_set, train_baked |> select(-outcome))
} # }