ReactiveBayes / RxInfer.jl

Julia package for automated Bayesian inference on a factor graph with reactive message passing
MIT License
237 stars 24 forks source link

Tutorial: why do we need to initialise #224

Closed Nimrais closed 4 months ago

bvdmitri commented 5 months ago

Hey guys, just pinging you so you won't forget about this:) As we discussed during the meeting I would like you to move the tutorial from the notebook to its own documentation page.

codecov[bot] commented 4 months ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Comparison is base (86847c8) 80.31% compared to head (24dddea) 80.31%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #224 +/- ## ======================================= Coverage 80.31% 80.31% ======================================= Files 11 11 Lines 1290 1290 ======================================= Hits 1036 1036 Misses 254 254 ```

:umbrella: View full report in Codecov by Sentry.
:loudspeaker: Have feedback on the report? Share it here.

mhidalgoaraya commented 4 months ago

@bvdmitri I changed the document as requested. let me know if that helps

mhidalgoaraya commented 4 months ago

Now it is done :)