v3.1.0

RxInfer v3.1.0

Diff since v3.0.2

Merged pull requests:

• Set minimum supported version of Julia to 1.10 (#301) (@bvdmitri)
• Fix broken tests (#302) (@bvdmitri)

v3.0.2

RxInfer v3.0.2

Diff since v3.0.1

Merged pull requests:

• Proof-read README (#297) (@bvdmitri)

v3.0.1

RxInfer v3.0.1

Diff since v3.0.0

Merged pull requests:

• Add CODECOV_TOKEN in CI (#293) (@bvdmitri)
• Add Dynalist link for public meetings (#294) (@bvdmitri)
• Add more information to the migration guide (#296) (@bvdmitri)

Closed issues:

• Code coverage does not update for a while (#292)

v3.0.0

RxInfer v3.0.0

Diff since v2.17.1

Merged pull requests:

• fix Bayesian Linear Regression Tutorial (#243) (@bvdmitri)
• Update MountainCart example with new Graph PPL (#264) (@Sepideh-Adamiat)
• Initialization macro (#265) (@wouterwln)
• update to coin toss model for GraphPPL v4 (#267) (@raganapa)
• Dev 4.0.0 examples chance constraints (#269) (@Raphael-Tresor)
• update to example (#270) (@raganapa)
• Fixed examples (#271) (@bvdmitri)
• New big release 3.0.0 (#272) (@bvdmitri)
• change "init" to "initialization" (#276) (@wouterwln)
• Migration guide initial commit (#278) (@wouterwln)
• update most examples (#280) (@wouterwln)
• Add error message for trailing commas (#281) (@wouterwln)
• update bayesian Linear Regression example to new initialization (#282) (@HoangMHNguyen)
• Documentation check (#283) (@wouterwln)
• Proofread documentation (#284) (@albertpod)
• Fix show for initialization (#285) (@wouterwln)
• New section in the documentation for static inference (#286) (@bvdmitri)
• Use setup-julia version 2 (#289) (@bvdmitri)
• Update README.md (#290) (@albertpod)

Closed issues:

• Splatting does not work (with non-linear node) (#122)
• Unable to target single variables in form constraints (#147)
• Document the functional form constraints and the @constraints macro (#150)
• Integrate new GraphPPL.jl (#213)
• 'FullFactorisation' is a confusing name for a constraint that impose no factorisation. (#231)
• Examples need adjustments for new GraphPPL (#242)
• Documentation need adjustments for new GraphPPL.jl (#257)
• Use initialization instead of init for the initialization (#274)
• We need a migration guide for v3 (#275)
• Adjust examples to new @initialization macro (#277)
• Consufing error message with the @initialization macro (#279)

v2.17.1

RxInfer v2.17.1

Diff since v2.17.0

Merged pull requests:

• Update contributions documentation (#239) (@wouterwln)
• Migration - Universal mixtures (#246) (@bartvanerp)
• Migration - Invertible Neural Networks Tutorial (#247) (@bartvanerp)
• 4.0.0 Infinite Data Stream (#248) (@Nimrais)
• Advanced Tutorial fixes (#249) (@bvdmitri)
• Update gaussian mixture example (#250) (@wouterwln)
• Update GP SSM example (#251) (@HoangMHNguyen)
• Update RTS-BIFM to 4.0.0 (#252) (@HoangMHNguyen)
• Update Nonlinear Sensor Fusion (#253) (@Nimrais)
• Update Gamma Mixture Example (#254) (@Nimrais)
• Fix HGF example for GraphPPL v4.0.0 (#255) (@bvdmitri)
• fix: update the Assessing People's Skills example (#256) (@carbonbasedsoul)
• Update examples with new GraphPPL (#258) (@albertpod)
• fix: update Hidden Markov Model Example (#259) (@Sepideh-Adamiat)
• Updating Kalman Filter Example (#260) (@tonmalan)
• Add external examples section (#261) (@albertpod)
• Dev 4.0.0 examples probit (#262) (@Raphael-Tresor)

Closed issues:

• Enhance workflow clarity of the project (#238)
• Kalman filtering and smoothing (#244)
• Coin-Toss Model (#245)

v2.17.0

RxInfer v2.17.0

Diff since v2.16.2

Merged pull requests:

• Fix missing check for infer function (#228) (@albertpod)
• Doc update on FullFactorisation following its name change to BetheFactoridation (#237) (@Raphael-Tresor)

Closed issues:

• Question: What are some heuristic rules for initialization? (#169)
• The inference function implementation / Clean Code discussion (#49)
• Question about transformations (#229)

v2.16.2

RxInfer v2.16.2

Diff since v2.16.0

Merged pull requests:

• Update README.md (roadmap project link) (#215) (@albertpod)
• Resolve #220 (#221) (@bartvanerp)
• Tutorial: why do we need to initialise (#224) (@Nimrais)
• Use julia cache in CI (#225) (@bvdmitri)

Closed issues:

• The repository is large (#198)
• Not able to multiply matrix with a vector of random Variable. (#217)
• Keyword arguments issue with depreciated rxinference() (#220)

v2.16.0

[Diff since v2.15.0](https://github.com/ReactiveBayes/RxInfer.jl/comp…

v2.15.0

RxInfer v2.15.0

Diff since v2.14.2

Merged pull requests:

• Add more contributing guides (#191) (@bvdmitri)
• Add tests for #30 (#193) (@bvdmitri)
• Update index.md (#195) (@bvdmitri)
• Dev add re test items (#196) (@mhidalgoaraya)

Closed issues:

• Linearization meta does not allow DataVariable input (#30)
• Pin repo in BIASlab org (#76)
• Splatting does not work (with non-linear node) (#122)
• initmarginals accept an array argument with different length (#175)
• Use ReTestItems for tests (#182)
• The link to the comparison in the documentation leads to a wrong section (#194)

v2.14.2

RxInfer v2.14.2

Diff since v2.14.1

Merged pull requests:

• Add prediction example (#184) (@albertpod)
• fix Aqua (#186) (@bvdmitri)
• Hierarchical Bayesian Linear Regression example (#187) (@bvdmitri)
• Fix import warnings (#189) (@bvdmitri)

Closed issues:

• A forecasting/predicting example would be useful (#15)
• Document the ability to change the message passing rules and the @meta macro (#151)
• Tests are failing (due to Aqua) (#185)
• julia show warnings when using RxInfer for the first time (#188)