Skip to contents

RBF sigma parameter with data-driven range for psvr models

rbf_sigma_psvr_data.Rd

A convenience wrapper that combines sigma_heuristic() and rbf_sigma_psvr() in a single call. It computes the median pairwise distance from X and returns a quant_param whose search range spans one order of magnitude either side of the heuristic value on the log10 scale (i.e., [log10(sigma_med / width), log10(sigma_med * width)]).

Usage

rbf_sigma_psvr_data(
  X,
  width = 10,
  sample_size = 500L,
  seed = NULL,
  trans = scales::log10_trans()
)

Arguments

X

A numeric matrix or data frame of predictors (already preprocessed — centred, scaled, etc.).

width

Positive scalar. Multiplier that sets the half-width of the search range around the heuristic sigma. Default 10 (one decade).

sample_size

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

seed

Integer seed for subsampling. Passed to sigma_heuristic(). Default NULL.

trans

A scales transformation object. Default scales::log10_trans().

Value

A quant_param dials object with a data-driven search range.

See also

sigma_heuristic(), rbf_sigma_psvr()

Examples

X <- matrix(rnorm(200), ncol = 4)
rbf_sigma_psvr_data(X)
#> RBF Sigma (psvr) (quantitative)
#> Transformer: log-10 [1e-100, Inf]
#> Range (transformed scale): [-0.575, 1.43]
rbf_sigma_psvr_data(X, width = 5)
#> RBF Sigma (psvr) (quantitative)
#> Transformer: log-10 [1e-100, Inf]
#> Range (transformed scale): [-0.274, 1.12]