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 v2.4.0
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
Files
biaslab/ReactiveMP.jl-v2.4.0.zip
Files
(3.5 MB)
| Name | Size | Download all |
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md5:f3325f906bfda68cdac7e72d6ec99a19
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Additional details
Related works
- Is supplement to
- https://github.com/biaslab/ReactiveMP.jl/tree/v2.4.0 (URL)