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

Diff since v2.0.6

Closed issues:

• Docs should contain list of exported methods (#114)
• Display user-friendly error when indexing random variables within the @model macro (#134)
• Average energy fails for the multiplication node if scalar is the second argument (#135)
• Report where free energy computes NaN (#136)
• Linearize DistProduct for identical types of distributions (#137)
• Error if the same variable has been used both in LHS and RHS of tilde expression (#139)
• Question: Can you set returnvars to return KeepLast() from all RVs? (#142)
• average energy computation for the Wishart node (#148)
• Deprecate dim(d) with size(d, 1) (#157)

Merged pull requests:

• docs: add list of exported methods #114 (#125) (@bvdmitri)
• Add mode calculation for GammaShapeRate distribution (#126) (@wmkouw)
• Clean demo notebooks and docs (#127) (@pitmonticone)
• ci: do not run benchmarks during CI (#128) (@bvdmitri)
• feat: add Uniform distribution node (#130) (@bvdmitri)
• fix: error on unknown Distribution-like factor node (#131) (@bvdmitri)
• Add Poisson node (#132) (@albertpod)
• feat: check for uniqueness of node inputs, fixes #139 (#140) (@bvdmitri)
• Dev broadcasting syntax v2 (#147) (@bvdmitri)
• Fix average energy for Wishart (#149) (@albertpod)
• Clean docs (#150) (@pitmonticone)
• fix: add symmetric marginal rule for scalar multiplication (#152) (@bvdmitri)
• feat: error message when directly indexing variables in a model (#153) (@bvdmitri)
• feat: add diagnostic checks for Bethe Free Energy stream (#154) (@bvdmitri)
• feat: allow more options for returnvars (#155) (@bvdmitri)
• feat: linearise non-analytical product for objects of the same type (#156) (@bvdmitri)
• refactoring: replace dim with size (#158) (@bvdmitri)
• Merge 2.1.0 branch into master (#159) (@bvdmitri)