Published September 11, 2023
| Version v3.9.3
Software
Open
ReactiveMP.jl: a Julia package for automatic Bayesian inference on a factor graph with reactive message passing.
Description
ReactiveMP v3.9.3
Closed issues:
- The documentation needs "how to add nodes and rules" (#296)
@call_rule
does not play nicely with addons (#332)- CVI Support for the Categorical Distribution (#334)
- Rand for GammaShapeRate is broken. (#337)
- 'v_a_vT' is slow and named wrong (#343)
- Create sparse matrix structure for outer product of
StandardBasisVector
(#344) - MethodError: *(::LinearAlgebra.Diagonal{Float64, Vector{Float64}}, ::StandardBasisVector{Float64}) is ambiguous. (#348)
Merged pull requests:
- CompatHelper: bump compat for LazyArrays to 1, (keep existing compat) (#304) (@github-actions[bot])
- CompatHelper: bump compat for StatsBase to 0.34, (keep existing compat) (#313) (@github-actions[bot])
- Improving the
prod
function for Gaussian Distributions in CVI Approximation (#335) (@Nimrais) - CVI Support for the Categorical Distribution (#336) (@Nimrais)
- Add Half-normal node (#338) (@albertpod)
- fix sampling from GammaShapeRate (#339) (@bvdmitri)
- Fix printing bug (#345) (@bartvanerp)
- Allow returning addons from the
@call_rule
(#346) (@bvdmitri) - Fix v_a_vT and StandardBasisVector (#347) (@bvdmitri)
- Fix ambiguity error for * between Diagonal and StandardBasisVector (#349) (@bvdmitri)
Notes
Files
biaslab/ReactiveMP.jl-v3.9.3.zip
Files
(595.2 kB)
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Additional details
Related works
- Is supplement to
- https://github.com/biaslab/ReactiveMP.jl/tree/v3.9.3 (URL)