Module Cov_lin_ard

module Cov_lin_ard: sig .. end

The covariance is defined as:

k(x, y) = x*inv(P)*y

where P is a diagonal matrix containing ARD parameters ell_1^2,...,ell_D^2, and D is the dimensionality of the input space.

module Params: sig .. end

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 of int ]