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

dirac on its own #9

Closed filtron closed 2 years ago

filtron commented 2 years ago

Making separating type Dirac from AbstractNormal + tests.

codecov-commenter commented 2 years ago

Codecov Report

Base: 43.62% // Head: 47.82% // Increases project coverage by +4.19% :tada:

Coverage data is based on head (95069d7) compared to base (1f4a5fb). Patch coverage: 90.90% of modified lines in pull request are covered.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #9 +/- ## ========================================== + Coverage 43.62% 47.82% +4.19% ========================================== Files 9 10 +1 Lines 204 207 +3 ========================================== + Hits 89 99 +10 + Misses 115 108 -7 ``` | [Impacted Files](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/9?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/9/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2Rpc3RyaWJ1dGlvbnMvbm9ybWFsLmps) | `82.60% <ø> (ø)` | | | [src/distributions/normal\_generic.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/9/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2Rpc3RyaWJ1dGlvbnMvbm9ybWFsX2dlbmVyaWMuamw=) | `0.00% <ø> (ø)` | | | [src/distributions/normal\_plotting.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/9/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2Rpc3RyaWJ1dGlvbnMvbm9ybWFsX3Bsb3R0aW5nLmps) | `0.00% <ø> (ø)` | | | [src/kernels/conditionalmean.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/9/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2tlcm5lbHMvY29uZGl0aW9uYWxtZWFuLmps) | `67.85% <ø> (ø)` | | | [src/kernels/normalkernel.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/9/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2tlcm5lbHMvbm9ybWFsa2VybmVsLmps) | `52.77% <ø> (ø)` | | | [src/kernels/normalkernel\_generic.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/9/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2tlcm5lbHMvbm9ybWFsa2VybmVsX2dlbmVyaWMuamw=) | `0.00% <ø> (ø)` | | | [src/distributions/dirac.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/9/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2Rpc3RyaWJ1dGlvbnMvZGlyYWMuamw=) | `90.90% <90.90%> (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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