JuliaGaussianProcesses / KernelFunctions.jl

Julia package for kernel functions for machine learning
https://juliagaussianprocesses.github.io/KernelFunctions.jl/stable/
MIT License
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Remove unused type parameter #482

Closed devmotion closed 1 year ago

devmotion commented 1 year ago

Should fix https://github.com/JuliaGaussianProcesses/KernelFunctions.jl/issues/481#issuecomment-1280796830.

codecov[bot] commented 1 year ago

Codecov Report

Base: 58.66% // Head: 64.59% // Increases project coverage by +5.93% :tada:

Coverage data is based on head (323782a) compared to base (46fa287). Patch coverage: 100.00% of modified lines in pull request are covered.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #482 +/- ## ========================================== + Coverage 58.66% 64.59% +5.93% ========================================== Files 52 52 Lines 1345 1350 +5 ========================================== + Hits 789 872 +83 + Misses 556 478 -78 ``` | [Impacted Files](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/482?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses) | Coverage Δ | | |---|---|---| | [src/distances/sinus.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/482/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2Rpc3RhbmNlcy9zaW51cy5qbA==) | `63.63% <100.00%> (ø)` | | | [src/generic.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/482/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL2dlbmVyaWMuamw=) | `40.00% <0.00%> (+20.00%)` | :arrow_up: | | [src/transform/periodic\_transform.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/482/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL3RyYW5zZm9ybS9wZXJpb2RpY190cmFuc2Zvcm0uamw=) | `40.00% <0.00%> (+40.00%)` | :arrow_up: | | [src/transform/lineartransform.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/482/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL3RyYW5zZm9ybS9saW5lYXJ0cmFuc2Zvcm0uamw=) | `100.00% <0.00%> (+45.45%)` | :arrow_up: | | [src/transform/scaletransform.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/482/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL3RyYW5zZm9ybS9zY2FsZXRyYW5zZm9ybS5qbA==) | `100.00% <0.00%> (+60.00%)` | :arrow_up: | | [src/transform/transform.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/482/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL3RyYW5zZm9ybS90cmFuc2Zvcm0uamw=) | `100.00% <0.00%> (+80.00%)` | :arrow_up: | | [src/transform/chaintransform.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/482/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL3RyYW5zZm9ybS9jaGFpbnRyYW5zZm9ybS5qbA==) | `80.00% <0.00%> (+80.00%)` | :arrow_up: | | [src/transform/selecttransform.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/482/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL3RyYW5zZm9ybS9zZWxlY3R0cmFuc2Zvcm0uamw=) | `90.90% <0.00%> (+90.90%)` | :arrow_up: | | [src/transform/functiontransform.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/482/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL3RyYW5zZm9ybS9mdW5jdGlvbnRyYW5zZm9ybS5qbA==) | `92.30% <0.00%> (+92.30%)` | :arrow_up: | | [src/transform/ardtransform.jl](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/482/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaGaussianProcesses#diff-c3JjL3RyYW5zZm9ybS9hcmR0cmFuc2Zvcm0uamw=) | `93.33% <0.00%> (+93.33%)` | :arrow_up: | | ... and [1 more](https://codecov.io/gh/JuliaGaussianProcesses/KernelFunctions.jl/pull/482/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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