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License: MIT License
Gaussian Process Distribution of Relaxation Times
License: MIT License
I was trying to use the GP-DRT with my EIS data, the optimization in 3) of the example 4 runs into an error as the cholesky decomposition in line 173 of GP_DRT.py does not work. The matrix K_im_full seems to be not always positive definite, depending on the values of the hyperparameters: sigma_n, sigma_f and ell. Do ou have any Idea how this could prevented?
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