doc: gp_lik
Negative log likelihood given oberservations Yt at Xt
Syntax
nll = gp_lik(Ktt, Yt, BayesInv)
nll = gp_lik(Ktt, Yt, BayesInv, Ht)
Arguments
- Ktt matrix (nt, nt) of kernel between the points of Xt
- Yt vector (nt, 1) of observations
- BayesInv structure array returned by gp_inf(Ht, Ktt, Yt, noise)
- Ht matrix (nt, b) of basis data as returned by basis_cst(Xt)
Outputs
- nll float, negative of the logarithm of the likelihood
See also
gp_loolik | bfgs_search_prior