JuliaGaussianProcesses / AbstractGPs.jl

Abstract types and methods for Gaussian Processes.
https://juliagaussianprocesses.github.io/AbstractGPs.jl/dev
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MeanFunction API #357

Closed theogf closed 1 year ago

theogf commented 1 year ago

Summary Following #356 , this renames the _map_mean_function to mean_vector and make it a public API function with the associated docs.

Also did some markdown formatting and moved Julia min version to 1.6

codecov[bot] commented 1 year ago

Codecov Report

Patch coverage: 100.00% and no project coverage change.

Comparison is base (7ddcc5a) 97.63% compared to head (34b047b) 97.63%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #357 +/- ## ======================================= Coverage 97.63% 97.63% ======================================= Files 10 10 Lines 380 380 ======================================= Hits 371 371 Misses 9 9 ``` | [Impacted Files](https://codecov.io/gh/JuliaGaussianProcesses/AbstractGPs.jl/pull/357?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses) | Coverage Δ | | |---|---|---| | [src/base\_gp.jl](https://codecov.io/gh/JuliaGaussianProcesses/AbstractGPs.jl/pull/357?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VfZ3Auamw=) | `100.00% <100.00%> (ø)` | | | [src/mean\_function.jl](https://codecov.io/gh/JuliaGaussianProcesses/AbstractGPs.jl/pull/357?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL21lYW5fZnVuY3Rpb24uamw=) | `100.00% <100.00%> (ø)` | | Help us with your feedback. Take ten seconds to tell us [how you rate us](https://about.codecov.io/nps?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses). Have a feature suggestion? [Share it here.](https://app.codecov.io/gh/feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses)

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