JuliaGaussianProcesses / KernelFunctions.jl

Julia package for kernel functions for machine learning
https://juliagaussianprocesses.github.io/KernelFunctions.jl/stable/
MIT License
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Add buildkite configuration #477

Closed devmotion closed 1 year ago

devmotion commented 1 year ago

Adds an initial buildkite configuration to fix CI errors.

Basically the same as https://github.com/JuliaGaussianProcesses/AbstractGPs.jl/pull/335. It is a first step towards https://github.com/JuliaGaussianProcesses/KernelFunctions.jl/pull/472.

codecov[bot] commented 1 year ago

Codecov Report

Base: 93.70% // Head: 68.82% // Decreases project coverage by -24.88% :warning:

Coverage data is based on head (1af81ae) compared to base (1399a48). Patch has no changes to coverable lines.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #477 +/- ## =========================================== - Coverage 93.70% 68.82% -24.89% =========================================== Files 52 52 Lines 1351 1344 -7 =========================================== - Hits 1266 925 -341 - Misses 85 419 +334 ``` | [Impacted Files](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/477?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses) | Coverage Δ | | |---|---|---| | [src/basekernels/sm.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/477/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VrZXJuZWxzL3NtLmps) | `0.00% <0.00%> (-100.00%)` | :arrow_down: | | [src/basekernels/gabor.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/477/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VrZXJuZWxzL2dhYm9yLmps) | `0.00% <0.00%> (-100.00%)` | :arrow_down: | | [src/basekernels/cosine.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/477/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VrZXJuZWxzL2Nvc2luZS5qbA==) | `0.00% <0.00%> (-100.00%)` | :arrow_down: | | [src/basekernels/nn.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/477/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VrZXJuZWxzL25uLmps) | `0.00% <0.00%> (-98.00%)` | :arrow_down: | | [src/basekernels/constant.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/477/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VrZXJuZWxzL2NvbnN0YW50Lmps) | `5.55% <0.00%> (-94.45%)` | :arrow_down: | | [src/basekernels/wiener.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/477/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VrZXJuZWxzL3dpZW5lci5qbA==) | `0.00% <0.00%> (-92.86%)` | :arrow_down: | | [src/basekernels/rational.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/477/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VrZXJuZWxzL3JhdGlvbmFsLmps) | `9.67% <0.00%> (-90.33%)` | :arrow_down: | | [src/basekernels/piecewisepolynomial.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/477/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VrZXJuZWxzL3BpZWNld2lzZXBvbHlub21pYWwuamw=) | `0.00% <0.00%> (-89.48%)` | :arrow_down: | | [src/basekernels/exponentiated.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/477/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VrZXJuZWxzL2V4cG9uZW50aWF0ZWQuamw=) | `0.00% <0.00%> (-80.00%)` | :arrow_down: | | [src/basekernels/matern.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/477/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Jhc2VrZXJuZWxzL21hdGVybi5qbA==) | `25.00% <0.00%> (-75.00%)` | :arrow_down: | | ... and [7 more](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/477/diff?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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