JuliaGaussianProcesses / AugmentedGPLikelihoods.jl

Provide all functions needed to work with augmented likelihoods (conditionally conjugate with Gaussians)
MIT License
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CompatHelper: bump compat for IrrationalConstants to 0.2 for package test, (keep existing compat) #118

Closed github-actions[bot] closed 8 months ago

github-actions[bot] commented 1 year ago

This pull request changes the compat entry for the IrrationalConstants package from 0.1 to 0.1, 0.2 for package test. This keeps the compat entries for earlier versions.

Note: I have not tested your package with this new compat entry. It is your responsibility to make sure that your package tests pass before you merge this pull request.

codecov[bot] commented 1 year ago

Codecov Report

Base: 74.78% // Head: 73.34% // Decreases project coverage by -1.44% :warning:

Coverage data is based on head (cf5f730) compared to base (e87ded2). Patch has no changes to coverable lines.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #118 +/- ## ========================================== - Coverage 74.78% 73.34% -1.44% ========================================== Files 17 16 -1 Lines 682 634 -48 ========================================== - Hits 510 465 -45 + Misses 172 169 -3 ``` | [Impacted Files](https://codecov.io/gh/JuliaGaussianProcesses/AugmentedGPLikelihoods.jl/pull/118?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses) | Coverage Δ | | |---|---|---| | [src/utils.jl](https://codecov.io/gh/JuliaGaussianProcesses/AugmentedGPLikelihoods.jl/pull/118?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL3V0aWxzLmps) | `55.55% <0.00%> (-8.09%)` | :arrow_down: | | [src/SpecialDistributions/SpecialDistributions.jl](https://codecov.io/gh/JuliaGaussianProcesses/AugmentedGPLikelihoods.jl/pull/118?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL1NwZWNpYWxEaXN0cmlidXRpb25zL1NwZWNpYWxEaXN0cmlidXRpb25zLmps) | `60.00% <0.00%> (-6.67%)` | :arrow_down: | | [src/generic.jl](https://codecov.io/gh/JuliaGaussianProcesses/AugmentedGPLikelihoods.jl/pull/118?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2dlbmVyaWMuamw=) | `85.71% <0.00%> (-2.53%)` | :arrow_down: | | [src/SpecialDistributions/polyagamma.jl](https://codecov.io/gh/JuliaGaussianProcesses/AugmentedGPLikelihoods.jl/pull/118?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL1NwZWNpYWxEaXN0cmlidXRpb25zL3BvbHlhZ2FtbWEuamw=) | `92.42% <0.00%> (-0.44%)` | :arrow_down: | | [src/SpecialDistributions/ntdist.jl](https://codecov.io/gh/JuliaGaussianProcesses/AugmentedGPLikelihoods.jl/pull/118?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL1NwZWNpYWxEaXN0cmlidXRpb25zL250ZGlzdC5qbA==) | `95.23% <0.00%> (-0.22%)` | :arrow_down: | | [src/TestUtils.jl](https://codecov.io/gh/JuliaGaussianProcesses/AugmentedGPLikelihoods.jl/pull/118?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL1Rlc3RVdGlscy5qbA==) | `82.40% <0.00%> (-0.14%)` | :arrow_down: | | [src/likelihoods/laplace.jl](https://codecov.io/gh/JuliaGaussianProcesses/AugmentedGPLikelihoods.jl/pull/118?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2xpa2VsaWhvb2RzL2xhcGxhY2Uuamw=) | `100.00% <0.00%> (ø)` | | | [src/likelihoods/poisson.jl](https://codecov.io/gh/JuliaGaussianProcesses/AugmentedGPLikelihoods.jl/pull/118?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2xpa2VsaWhvb2RzL3BvaXNzb24uamw=) | `100.00% <0.00%> (ø)` | | | [src/likelihoods/studentt.jl](https://codecov.io/gh/JuliaGaussianProcesses/AugmentedGPLikelihoods.jl/pull/118?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2xpa2VsaWhvb2RzL3N0dWRlbnR0Lmps) | `100.00% <0.00%> (ø)` | | | [src/likelihoods/bernoulli.jl](https://codecov.io/gh/JuliaGaussianProcesses/AugmentedGPLikelihoods.jl/pull/118?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2xpa2VsaWhvb2RzL2Jlcm5vdWxsaS5qbA==) | `100.00% <0.00%> (ø)` | | | ... and [5 more](https://codecov.io/gh/JuliaGaussianProcesses/AugmentedGPLikelihoods.jl/pull/118?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses) | | 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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