In Gaussian Process the noise in marginal_likelihood also stabilized the covariance function, so if you just set it to 0 sometimes you have numerical problems.
A quick workaround is to set noise to a small value, but a more proper treatment is to revisit the priors for covariance functions to use more informative prior that constructs more stable covariance matrix.
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