Generate standard GP simulation scenarios — gp_simulation

Creates deterministic input designs and seeded observations for common validation cases used throughout the benchmark suite.

Usage

gp_simulation_scenario(
  scenario = c("smooth_1d", "near_singular", "ard_2d", "heteroscedastic_1d"),
  n = 60L,
  seed = 1729L
)

Arguments

scenario: One of "smooth_1d", "near_singular", "ard_2d", or "heteroscedastic_1d".
n: Number of observations.
seed: Non-negative integer seed.

Value

A gaussianprocesses_simulation with a scenario element.

Stability

Experimental: this interface may change in a minor release, and every change is listed in NEWS. See gaussianprocesses-package for the policy.

Examples

simulation <- gp_simulation_scenario("ard_2d", n = 40)
simulation
#> Gaussian-process simulation
#>   observations: 40
#>   input dimensions: 2
#>   scenario: ard_2d
#>   noise variance range: [0.04, 0.04]
#>   simulation jitter: 0
simulation$kernel
#> Matern-3/2(variance=1.4, length_scale=c(0.45, 2.2))