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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 v2.5.0

Diff since v2.4.1

Closed issues:

  • Revise mean(inv, ::PointMass) (#191)
  • Error reporting for Progress in automatic inference API (#192)
  • Wishart marginal not Hermitian in static model (#193)
  • InverseWishart encounters a degrees-of-freedom argument error (#195)
  • @node should not support interface names with underscores (#203)

Merged pull requests:

  • Add MvNormalMeanScalePrecision node (#184) (@albertpod)
  • Inverse Gamma Node (#194) (@abpolym)
  • Fix mv-precision inference with known mean (#196) (@bvdmitri)
  • Add mean(::cholinv) (#197) (@bvdmitri)
  • Add Julia 1.8 in tests (#198) (@bvdmitri)
  • Update vague for InverseWishart (#199) (@albertpod)
  • add Base.size method for pointmass (#200) (@bvdmitri)
  • Fix showprogress = true when iterations are not specified (#201) (@bvdmitri)
  • fix: do not allow underscores in interfaces names (#204) (@bvdmitri)
  • Change default meta spec from Any to Nothing (#206) (@bvdmitri)

Notes

Please cite this research as below.

Files

biaslab/ReactiveMP.jl-v2.5.0.zip

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Additional details

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