The log marginal likelihood. See "2.3 Varying the Hyperparameters" on page 19 of Rasmussen and Williams' book.
1  | gp.log.marg.like(y, K = NULL, U = chol(K))
 | 
y | 
 The targets.  | 
K | 
 The covariance matrix (kernel), not needed if U is provided.  | 
U | 
 Cholesky decomposition of K (chol(K)).  | 
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