biaslab / ForneyLab.jl

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
MIT License
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Refactor Nonlinear dimensionality specification #187

Closed ThijsvdLaar closed 2 years ago

ThijsvdLaar commented 2 years ago
codecov-commenter commented 2 years ago

Codecov Report

Merging #187 (1629798) into master (b10b720) will increase coverage by 0.39%. The diff coverage is 88.34%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #187      +/-   ##
==========================================
+ Coverage   86.21%   86.60%   +0.39%     
==========================================
  Files          95       95              
  Lines        4462     4406      -56     
==========================================
- Hits         3847     3816      -31     
+ Misses        615      590      -25     
Impacted Files Coverage Δ
src/engines/julia/update_rules/multiplication.jl 100.00% <ø> (ø)
src/factor_nodes/wishart.jl 94.23% <ø> (+1.63%) :arrow_up:
...c/engines/julia/update_rules/nonlinear_sampling.jl 63.04% <57.57%> (+4.44%) :arrow_up:
src/factor_nodes/sample_list.jl 76.21% <68.75%> (+2.65%) :arrow_up:
src/factor_nodes/gaussian_mean_variance.jl 88.67% <71.42%> (-0.21%) :arrow_down:
src/probability_distribution.jl 78.66% <78.57%> (-1.94%) :arrow_down:
src/engines/julia/generators.jl 97.67% <100.00%> (ø)
...ines/julia/update_rules/gaussian_mean_precision.jl 100.00% <100.00%> (ø)
src/engines/julia/update_rules/gaussian_mixture.jl 100.00% <100.00%> (ø)
...c/engines/julia/update_rules/nonlinear_extended.jl 100.00% <100.00%> (ø)
... and 23 more

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