filtron / MarkovKernels.jl

Marginal distributions and Markov kernels that play nice with each other for the purpose of Bayesian state estimation.
MIT License
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alias AffineNormalKernel defined #14

Closed filtron closed 2 years ago

filtron commented 2 years ago

Making alias AffineNormalKernel for NormalKernel that admit exact inference + changing function definitions to conform to this.

codecov-commenter commented 2 years ago

Codecov Report

Base: 62.67% // Head: 62.03% // Decreases project coverage by -0.63% :warning:

Coverage data is based on head (340801a) compared to base (9807e7c). Patch coverage: 75.00% of modified lines in pull request are covered.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #14 +/- ## ========================================== - Coverage 62.67% 62.03% -0.64% ========================================== Files 12 12 Lines 217 216 -1 ========================================== - Hits 136 134 -2 - Misses 81 82 +1 ``` | [Impacted Files](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/14?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+) | Coverage Δ | | |---|---|---| | [src/kernels/normalkernel.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/14/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2tlcm5lbHMvbm9ybWFsa2VybmVsLmps) | `80.95% <75.00%> (+1.78%)` | :arrow_up: | | [src/matrix\_utilities.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/14/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL21hdHJpeF91dGlsaXRpZXMuamw=) | `90.00% <75.00%> (-10.00%)` | :arrow_down: | 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=Filip+Tronarp+). 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=Filip+Tronarp+)

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