removed unused argument in gp_loolik (bfe6ecb7) · Commits · Emile Contal / GpOptimization

bfgs_search_prior.m

+1 −1

Original line number	Diff line number	Diff line
		@@ -54,6 +54,6 @@ function [nll] = nllcost(Xt, Yt, sf2, rsn, W, kfun, Ht)
		Ktt = kfun(Xt, Xt, exp(sf2), exp(W));
		noise = exp(sf2+rsn);
		BayesInv = gp_inf(Ktt, Yt, noise, Ht);
		nll = gp_loolik(Ktt, Yt, noise, BayesInv, Ht);
		nll = gp_loolik(Ktt, Yt, BayesInv, Ht);

		end
		No newline at end of file

+3 −4

Original line number	Diff line number	Diff line
		@@ -14,16 +14,15 @@
		%
		% Copyright (c) by Emile Contal, 2015

		function [nll] = gp_loolik(Ktt, Yt, noise, BayesInv, Ht)
		function [nll] = gp_loolik(Ktt, Yt, BayesInv, Ht)
		%%
		% Negative log leave-one-out likelihood also called Pseudo-likelihood given oberservations _Yt_ at _Xt_
		%% Syntax
		% nll = gp_loolik(Ktt, Yt, noise, BayesInv)
		% nll = gp_loolik(Ktt, Yt, noise, BayesInv, Ht)
		% nll = gp_loolik(Ktt, Yt, BayesInv)
		% nll = gp_loolik(Ktt, Yt, BayesInv, Ht)
		%% Arguments
		% * _Ktt_ matrix _(nt, nt)_ of kernel between the points of _Xt_
		% * _Yt_ vector _(nt, 1)_ of observations
		% * _noise_ noise standard deviation
		% * _BayesInv_ structure array returned by _<gp_inf.html gp_inf>(Ht, Ktt, Yt, noise)_
		% * _Ht_ matrix _(nt, b)_ of basis data as returned by _<basis_cst.html basis_cst>(Xt)_
		%% Output