Parameters are identified by the names returned by
kernel_parameters(kernel, flatten = TRUE). Partial updates are supported,
which allows an optimizer or tuning routine to modify selected parameters
without manually unpacking nested kernel objects.
Stability
Stable: from version 1.0.0 this interface changes incompatibly only in a major release, after a deprecation period. Results and options that concern an experimental model class, kernel, or argument follow that interface's tier. See gaussianprocesses-package for the policy.
Examples
kernel <- sum_kernel(
rbf_kernel(length_scale = c(1, 2)),
white_noise_kernel(variance = 0.1)
)
updated <- update_kernel_parameters(
kernel,
c("kernel1.length_scale[2]" = 5, "kernel2.variance" = 0.01)
)
kernel_parameters(updated, flatten = TRUE)
#> kernel1.variance kernel1.length_scale[1] kernel1.length_scale[2]
#> 1.00 1.00 5.00
#> kernel2.variance
#> 0.01