Published January 28, 2021
| Version 1.3.1
Software
Open
ReactiveMP.jl: a Julia package for automatic Bayesian inference on a factor graph with reactive message passing.
Description
ReactiveMP v2.5.0
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)
@nodeshould 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
AnytoNothing(#206) (@bvdmitri)
Notes
Files
biaslab/ReactiveMP.jl-v2.5.0.zip
Files
(3.5 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:173825a5377e79f6e5ca886ac9039c58
|
3.5 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/biaslab/ReactiveMP.jl/tree/v2.5.0 (URL)