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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

adjoints rather than copies #51

Closed filtron closed 1 year ago

codecov-commenter commented 1 year ago

Codecov Report

Base: 95.85% // Head: 95.85% // No change to project coverage :thumbsup:

Coverage data is based on head (f991e5f) compared to base (ca48dac). Patch coverage: 100.00% of modified lines in pull request are covered.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #51 +/- ## ======================================= Coverage 95.85% 95.85% ======================================= Files 14 14 Lines 314 314 ======================================= Hits 301 301 Misses 13 13 ``` | [Impacted Files](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/51?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+) | Coverage Δ | | |---|---|---| | [src/covariance\_parameter.jl](https://codecov.io/gh/filtron/MarkovKernels.jl/pull/51/diff?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Filip+Tronarp+#diff-c3JjL2NvdmFyaWFuY2VfcGFyYW1ldGVyLmps) | `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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