Getting a lot of these errors when using the GPR. Seems to be an issue with the estimation of the noise level term. Scratching my head on this one. Anyone familiar with what's going on? I tried adding some random noise to the optimization function, and it had the same issue.

...python3.8/site-packages/sklearn/gaussian_process/kernels.py:402: ConvergenceWarning: The optimal value found for dimension 0 of parameter k2__noise_level is close to the specified lower bound 1e-05. Decreasing the bound and calling fit again may find a better value.