Merge pull request #149 from biaslab/dev-matrix-correction-tools

Update for the new version of ReactiveMP
ReactiveBayes · Sep 27, 2023 · 4aaab0b · 4aaab0b · bvdmitri · Sep 30, 2023
2 parents d16cfb5 + 06ab0b8
commit 4aaab0b
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Showing 6 changed files with 2,589 additions and 1,628 deletions.
diff --git a/Makefile b/Makefile
@@ -41,7 +41,7 @@ examples_init:
 
 dev_examples_init:
 	$(RM) $(EXAMPLES_MANIFEST_FILE)
-	julia --startup-file=no --project=examples/ -e 'using Pkg; Pkg.develop(PackageSpec(path=pwd())); Pkg.develop(PackageSpec(path=joinpath(Pkg.devdir(), "ReactiveMP.jl"))); Pkg.develop(PackageSpec(path=joinpath(Pkg.devdir(), "GraphPPL.jl"))); Pkg.develop(PackageSpec(path=joinpath(Pkg.devdir(), "Rocket.jl"))); Pkg.update(); Pkg.precompile();'
+	julia --startup-file=no --project=examples/ -e 'using Pkg; Pkg.develop(PackageSpec(path=joinpath(Pkg.devdir(), "ReactiveMP.jl"))); Pkg.develop(PackageSpec(path=joinpath(Pkg.devdir(), "GraphPPL.jl"))); Pkg.develop(PackageSpec(path=joinpath(Pkg.devdir(), "Rocket.jl"))); Pkg.develop(PackageSpec(path=pwd())); Pkg.update(); Pkg.precompile();'
 
 examples: scripts_init examples_init ## Precompile examples and put them in the `docs/src/examples` folder (use specific="<pattern>" to compile a specific example)
 	julia --startup-file=no --project=scripts/ scripts/examples.jl $(specific)
@@ -57,7 +57,7 @@ doc_init:
 
 dev_doc_init:
 	$(RM) $(EXAMPLES_MANIFEST_FILE)
-	julia --project=docs -e 'using Pkg; Pkg.develop(PackageSpec(path=pwd())); Pkg.develop(PackageSpec(path=joinpath(Pkg.devdir(), "ReactiveMP.jl"))); Pkg.develop(PackageSpec(path=joinpath(Pkg.devdir(), "GraphPPL.jl"))); Pkg.develop(PackageSpec(path=joinpath(Pkg.devdir(), "Rocket.jl"))); Pkg.update(); Pkg.precompile();'
+	julia --project=docs -e 'using Pkg; Pkg.develop(PackageSpec(path=joinpath(Pkg.devdir(), "ReactiveMP.jl"))); Pkg.develop(PackageSpec(path=joinpath(Pkg.devdir(), "GraphPPL.jl"))); Pkg.develop(PackageSpec(path=joinpath(Pkg.devdir(), "Rocket.jl"))); Pkg.develop(PackageSpec(path=pwd())); Pkg.update(); Pkg.precompile();'
 
 docs: doc_init ## Generate documentation
 	julia --startup-file=no --project=docs/ docs/make.jl

diff --git a/Project.toml b/Project.toml
@@ -2,7 +2,7 @@ name = "RxInfer"
 uuid = "86711068-29c9-4ff7-b620-ae75d7495b3d"
 authors = ["Bagaev Dmitry <[email protected]> and contributors"]
 # Do not forget to update the version in the `codemeta.json` too
-version = "2.12.0"
+version = "2.13.0"
 
 [deps]
 DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
@@ -27,7 +27,7 @@ GraphPPL = "3.1.0"
 MacroTools = "0.5.6"
 Optim = "1.0.0"
 ProgressMeter = "1.0.0"
-ReactiveMP = "~3.10.0"
+ReactiveMP = "~3.11.0"
 Reexport = "1.2.0"
 Rocket = "1.7.0"
 TupleTools = "1.2.0"

diff --git a/codemeta.json b/codemeta.json
@@ -9,12 +9,12 @@
     "downloadUrl": "https://github.com/biaslab/RxInfer.jl/releases",
     "issueTracker": "https://github.com/biaslab/RxInfer.jl/issues",
     "name": "RxInfer.jl",
-    "version": "2.12.0",
+    "version": "2.13.0",
     "description": "Julia package for automated, scalable and efficient Bayesian inference on factor graphs with reactive message passing. ",
     "applicationCategory": "Statistics",
     "developmentStatus": "active",
     "readme": "https://biaslab.github.io/RxInfer.jl/stable/",
-    "softwareVersion": "2.12.0",
+    "softwareVersion": "2.13.0",
     "keywords": [
         "Bayesian inference",
         "message passing",

diff --git a/examples/advanced_examples/GP Regression by SSM.ipynb b/examples/advanced_examples/GP Regression by SSM.ipynb
diff --git a/examples/problem_specific/Autoregressive Models.ipynb b/examples/problem_specific/Autoregressive Models.ipynb
diff --git a/test/models/aliases/test_aliases_normal.jl b/test/models/aliases/test_aliases_normal.jl
@@ -44,8 +44,8 @@ end
 @testset "aliases for `Normal` family of distributions" begin
     result = normal_aliases_inference()
     # Here we simply test that it ran and gave some output 
-    @test first(mean(result.posteriors[:x1])) ≈ 0.03030314940197132
-    @test first(result.free_energy) ≈ 2.6823450222125444
+    @test first(mean(result.posteriors[:x1])) ≈ 0.04182509505703423
+    @test first(result.free_energy) ≈ 2.319611135721246
 end
 
 end