add Kss to the ouputs of gp_sample

%

% Copyright (c) by Emile Contal, 2015

function [f, Xs, Fs, Xt, Yt] = gp_sample(varargin)

function [f, Xs, Fs, Xt, Yt, Kss] = gp_sample(varargin)

%%

% Sample a Gaussian process in a hypercube and perform Bayesian inferance

%% Syntax

%   [f, Xs, Fs, Xt, Yt] = gp_sample(..., 'Name',Value)

%   [f, Xs, Fs, Xt, Yt, Kss] = gp_sample(..., 'Name',Value)

%% Name-Value Pair Arguments

% * _d_ integer for the dimension (default: 1)

% * _size_ scalar for the length of the hypercube (default: 40)

% * _Fs_ matrix _(ns, 1)_ of sampled values

% * _Xt_ matrix _(nt, d)_ of training data

% * _Yt_ vector _(nt, 1)_ of training observations

% * _Kss_ matrix _(ns, ns)_ of kernel values

ip = inputParser;