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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

simplified stein implementation + reasonable enforcement of cov symmetry #15

Closed filtron closed 2 years ago

filtron commented 2 years ago

straight-forward?

codecov-commenter commented 2 years ago

Codecov Report

Base: 62.03% // Head: 63.30% // Increases project coverage by +1.26% :tada:

Coverage data is based on head (1bd1b78) compared to base (278601e). Patch coverage: 100.00% of modified lines in pull request are covered.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #15 +/- ## ========================================== + Coverage 62.03% 63.30% +1.26% ========================================== Files 12 12 Lines 216 218 +2 ========================================== + Hits 134 138 +4 + Misses 82 80 -2 ``` | [Impacted Files](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/15?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/15/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2Rpc3RyaWJ1dGlvbnMvbm9ybWFsLmps) | `96.66% <100.00%> (+0.11%)` | :arrow_up: | | [src/kernels/normalkernel.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/15/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2tlcm5lbHMvbm9ybWFsa2VybmVsLmps) | `81.81% <100.00%> (+0.86%)` | :arrow_up: | | [src/matrix\_utilities.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/15/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%> (+10.00%)` | :arrow_up: | 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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