ReactiveMP.jl: a Julia package for automatic Bayesian inference on a factor graph with reactive message passing.

ReactiveMP v5.6.3

Diff since v5.6.2

Merged pull requests:

• #525 Add IntegrationTest.yml (#526) (@abpolym)
• implement missing marginal rule multiplication node and added tests (#531) (@RetrospectiveRotations)
• 🤖 Auto-format Julia code (#532) (@github-actions[bot])
• #534 Rename softdot marginal rules test file to include it in tests. (#535) (@abpolym)
• Change dispatch to AbstractVector to allow other vector implementations (#536) (@wouterwln)
• #524 Avoid Vararg deprecation warnings. (#537) (@abpolym)
• Improving codecov (#539) (@abpolym)
• #538 Allow for different numeric types for GammaShapeLikelihood (#544) (@abpolym)
• 541 missing average energy for mixture node (#546) (@abpolym)

Closed issues:

• BFE is Infinity when data connects to deterministic nodes (#317)
• The rules toward variance in Gaussian node produce improper InverseGamma distributions that is incompatible with projection like methods (#420)
• Missing marginal rules multiplication node (#505)
• Deprecation warning: Wrapping Vararg directly in UnionAll is deprecated (#524)
• Add IntegrationTest.yml (#525)
• Incorrectly named tests cause some test files to be ignored (#534)
• Missing Average Energy for Mixture node (#541)