filtron / MarkovKernels.jl

Marginal distributions and Markov kernels that play nice with each other for the purpose of Bayesian state estimation.
MIT License
17 stars 2 forks source link

isotropic normals are a thing, todo: add tests #13

Closed filtron closed 2 years ago

filtron commented 2 years ago

Allows UniformScaling as covariance parameter in Normals.

codecov-commenter commented 2 years ago

Codecov Report

Base: 60.95% // Head: 62.67% // Increases project coverage by +1.72% :tada:

Coverage data is based on head (01a249e) compared to base (6ad93f2). Patch coverage: 100.00% of modified lines in pull request are covered.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #13 +/- ## ========================================== + Coverage 60.95% 62.67% +1.72% ========================================== Files 12 12 Lines 210 217 +7 ========================================== + Hits 128 136 +8 + Misses 82 81 -1 ``` | [Impacted Files](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/13?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+) | Coverage Δ | | |---|---|---| | [src/distributions/normal.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/13/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2Rpc3RyaWJ1dGlvbnMvbm9ybWFsLmps) | `96.55% <100.00%> (+5.24%)` | :arrow_up: | | [src/matrix\_utilities.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/13/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL21hdHJpeF91dGlsaXRpZXMuamw=) | `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=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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