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ReactiveBayes / RxInfer.jl

Julia package for automated Bayesian inference on a factor graph with reactive message passing
MIT License
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Fix Typo in Documentation #47

Closed Dhuige closed 1 year ago

Dhuige commented 1 year ago

Fix typo in documentation where NormalMeanPrecision was denoted as NormalMeanVariance

bvdmitri commented 1 year ago

Thanks @Dhuige !

codecov-commenter commented 1 year ago

Codecov Report

Base: 79.82% // Head: 79.82% // No change to project coverage :thumbsup:

Coverage data is based on head (db9810f) compared to base (0b1dc3b). Patch has no changes to coverable lines.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #47 +/- ## ======================================= Coverage 79.82% 79.82% ======================================= Files 11 11 Lines 1160 1160 ======================================= Hits 926 926 Misses 234 234 ``` | [Impacted Files](https://codecov.io/gh/biaslab/RxInfer.jl/pull/47?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=biaslab) | Coverage Δ | | |---|---|---| | [src/graphppl.jl](https://codecov.io/gh/biaslab/RxInfer.jl/pull/47?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=biaslab#diff-c3JjL2dyYXBocHBsLmps) | `88.18% <ø> (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=biaslab). 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=biaslab)

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