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Published January 28, 2021 | Version 1.3.1

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

Authors/Creators

  • 1. Eindhoven University of Technology Eindhoven

Description

ReactiveMP v2.4.0

Diff since v2.3.1

Closed issues:

  • distribution parameterization by keyword arguments (#1)
  • Support of message passing for Boolean functions (#120)
  • Sampling with size argument for Multivariate Gaussian Family is broken after new version of Distributions.jl (#174)
  • Factorisation constraints do not play nicely with tuple-d variables (e.g. in Gaussian Mixture node) (#179)

Merged pull requests:

  • Support of message passing for Boolean functions (#170) (@albertpod)
  • Merge latest changes from master to dev_logic (#177) (@bvdmitri)
  • Breaking: set returnvars = KeepLast() when iterations are not specified (#178) (@bvdmitri)
  • fix constraints specification resolution for tupled variables (#180) (@bvdmitri)
  • Add error for incompatible number of arguments in the model spec (#181) (@bvdmitri)
  • Fix factorisation constraints for anonymous random variables from deterministic functions (#182) (@bvdmitri)
  • Add tests for aliases (#185) (@bvdmitri)

Notes

Please cite this research as below.

Files

biaslab/ReactiveMP.jl-v2.4.0.zip

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