Closed yuki-koyama closed 5 years ago
I've found that, when GPR fails with relatively many data points, it is constructing a covariant matrix with a determinant of zero. This results in inf
in its maximum likelihood calculation. I am looking for a solution to this issue.
I've just found that the GPR demo fails to optimize its hyperparameters when there are many data points (e.g., more than 100). This needs to be examined.