14383232100
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Ran 10 Apr 2025 02:50PM UTC

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Files 77

Run time 1min

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Committed 10 Apr 2025 02:37PM UTC coverage: 81.988% (+0.4%) from 81.598%

Build # 14383232100

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push

github

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web-flow

Commit Message

Evaluate Function with Recursive Approach to Discreteness (#289)

- Marginalization implementation (recursion-based) for discrete
variables in Bayesian networks
- Test case included
- There should be another PR with similar implementation but with DP.

---------

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Xianda Sun <5433119+sunxd3@users.noreply.github.com>

Run Details

59 of 69 new or added lines in 1 file covered. (85.51%)

1716 of 2093 relevant lines covered (81.99%)

131680.59 hits per line

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Lines	Coverage	∆	File
10	92.55	0.75%	src/experimental/ProbabilisticGraphicalModels/bayesian_network.jl

Jobs

ID	Job ID	Ran	Files	Coverage
1	14383232100.1	10 Apr 2025 02:50PM UTC	77	81.99	GitHub Action Run

TuringLang / JuliaBUGS.jl / 14383232100
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