# Gaussian process regression with Turing gets stuck

**URL:** <https://discourse.julialang.org/t/gaussian-process-regression-with-turing-gets-stuck/86892>\
**Category:** General Usage\
**Tags:** turing\
**Created:** [September 7, 2022, 1:57pm UTC](https://discourse.julialang.org/t/gaussian-process-regression-with-turing-gets-stuck/86892 "2022-09-07T13:57:49Z")\
**Posts on this page:** 1\
**Showing post:** 5

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**Author:** ![soldasim](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/soldasim/32/42514_2.png) [@soldasim](https://discourse.julialang.org/u/soldasim)\
**Post date:** [September 7, 2022, 4:48pm UTC](https://discourse.julialang.org/t/gaussian-process-regression-with-turing-gets-stuck/86892/5 "2022-09-07T16:48:58Z")

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I confirm that either removing the identical point from data or fixing the lengthscale as constant and not sampling it resolves the issue.

I thought that since the model assumes non-zero noise, identical points would not cause problems. (Without it the Cholesky factorization would fail.) The problems with the kernel equation did not occur to me.

I guess I will just have to find some way to deal with identical data.

Thank you both for your time and help. I’m marking the problem as solved. 🙂

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