Comments (2)
Thanks for the questions and suggestions! The conventions are discussed in the celerite paper, but I agree that it could be useful to include more info in the docs. I don't have the capacity to add anything like that right now, but I'd be happy to review a pull request! :D
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The paper is indeed clarifying everything. I just made a PR.
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Related Issues (20)
- GP mean prediction as the mean function in another GP
- Issues sampling with PyMCv5 (gp.marginal fails when combined modelling GP+transit) HOT 1
- JAX AttributeError prevents celerite2 imports HOT 1
- jax.jit decorator breaks example HOT 8
- Jax mean models? HOT 2
- A documentation example for C++ API HOT 1
- NotImplementedError for differentiation of gp.predict HOT 2
- Small amplitude GP HOT 1
- Sampling with a non-constant mean HOT 2
- Pointwise predictive accuracy HOT 4
- gp does not own its data HOT 7
- Term.get_coefficients fails for jax implementation when built from source HOT 3
- Avoiding LinAlgErrors for closesly sampled x arrays HOT 4
- Online documentation notebook tutorial rendering issue: "findfont: Generic family 'sans-serif' not found..." HOT 1
- SHOTerm not working in numpyro model HOT 3
- Unable to access pymc3 submodule HOT 6
- Uncomment `pytensor.config.compute_test_value = "raise" in `conftest.py`
- Getting error while installation. HOT 1
- ImportError: cannot import name 'driver' from partially initialized module 'celerite2' (most likely due to a circular import) HOT 2
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