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Implementation of Loopy Belief Propagation (LBP) #1022

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merged 19 commits into from
Jun 14, 2024

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marcelh71
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This pull request is the LBP algorithm of Williams and Lau (2014). This is an efficient mechanism for calculating the marginal association probabilities when performing soft data association (e.g. as in the JPDA filter).

@marcelh71 marcelh71 requested a review from a team as a code owner May 22, 2024 13:06
@marcelh71 marcelh71 requested review from jswright-dstl and nperree-dstl and removed request for a team May 22, 2024 13:06
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marcelh71 and others added 14 commits June 11, 2024 11:02
@sdhiscocks
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@marcelh71 Hope it's okay, I pushed some changes to get flake8/test issues resolved, as they were mainly caused by my suggested changes.

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codecov bot commented Jun 13, 2024

Codecov Report

Attention: Patch coverage is 91.66667% with 6 lines in your changes missing coverage. Please review.

Project coverage is 93.55%. Comparing base (4111cb7) to head (0c341f4).
Report is 48 commits behind head on main.

Files Patch % Lines
stonesoup/dataassociator/probability.py 91.66% 1 Missing and 5 partials ⚠️
Additional details and impacted files
@@            Coverage Diff             @@
##             main    #1022      +/-   ##
==========================================
- Coverage   93.56%   93.55%   -0.02%     
==========================================
  Files         202      202              
  Lines       12985    13054      +69     
  Branches     2649     2668      +19     
==========================================
+ Hits        12150    12213      +63     
- Misses        591      593       +2     
- Partials      244      248       +4     
Flag Coverage Δ
integration 65.96% <12.50%> (-0.34%) ⬇️
unittests 89.19% <91.66%> (+0.04%) ⬆️

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@marcelh71
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marcelh71 commented Jun 13, 2024 via email

@sdhiscocks sdhiscocks merged commit be23c55 into dstl:main Jun 14, 2024
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3 participants