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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

test rand + ErrorException for normal_plotting #29

Closed filtron closed 2 years ago

codecov-commenter commented 2 years ago

Codecov Report

Base: 84.51% // Head: 86.12% // Increases project coverage by +1.61% :tada:

Coverage data is based on head (9649c0e) compared to base (0d647a7). Patch has no changes to coverable lines.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #29 +/- ## ========================================== + Coverage 84.51% 86.12% +1.61% ========================================== Files 13 13 Lines 310 310 ========================================== + Hits 262 267 +5 + Misses 48 43 -5 ``` | [Impacted Files](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/29?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/29/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2tlcm5lbHMvbm9ybWFsa2VybmVsLmps) | `97.14% <0.00%> (+5.71%)` | :arrow_up: | | [src/distributions/normal\_plotting.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/29/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2Rpc3RyaWJ1dGlvbnMvbm9ybWFsX3Bsb3R0aW5nLmps) | `90.90% <0.00%> (+9.09%)` | :arrow_up: | | [src/kernels/dirackernel.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/29/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2tlcm5lbHMvZGlyYWNrZXJuZWwuamw=) | `93.75% <0.00%> (+12.50%)` | :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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