Module Cov_se_iso

module Cov_se_iso: sig .. end
Isotropic squared exponential covariance



The covariance is defined as:

k(x, y) = sf^2 * exp(-1/2 * |1/ell*(x-y)|^2)

where sf^2 is the amplitude, and ell is the length scale.

module Params: sig .. end
type inducing_hyper = {
   ind : int;
   dim : int;
}
module Eval: Eval 
    with type Kernel.params = Params.t 
    with type Inducing.t = mat 
    with type Input.t = vec 
    with type Inputs.t = mat
module Deriv: Deriv 
    with module Eval = Eval 
    with type Hyper.t =
      [ `Log_ell | `Log_sf2 | `Inducing_hyper of inducing_hyper ]