Squared Exponential Kernel

Squared Exponential Kernel

Usage

se_kernel(x, y, hp, deriv = NULL, vectorized = FALSE)

Arguments

x

A vector (or matrix if vectorized = T) of inputs.

y

A vector (or matrix if vectorized = T) of inputs.

hp

A tibble, data frame or named vector, containing the kernel's hyperparameters. Required columns: 'se_variance', 'se_lengthscale'.

deriv

A character, indicating according to which hyper-parameter the derivative should be computed. If NULL (default), the function simply returns the evaluation of the kernel.

vectorized

A logical value, indicating whether the function provides a vectorized version for speeded-up calculations. If TRUE, the x and y arguments should be the vector or matrix containing all inputs for which the kernel is evaluated on all pairs of elements. If FALSE, the x and y arguments are simply two inputs.

Value

A scalar, corresponding to the evaluation of the kernel.

Examples

TRUE
#> [1] TRUE