From 45dc8bece8e78b1575bf9dea4ad1e8732b1b9073 Mon Sep 17 00:00:00 2001 From: Bagaev Dmitry Date: Fri, 26 May 2023 11:56:56 +0200 Subject: [PATCH 1/3] fix Flux dependency --- Project.toml | 8 +- codemeta.json | 4 +- ...tational Variational Message Passing.ipynb | 902 +----- ...ter with LSTM network driven dynamic.ipynb | 2662 +---------------- examples/Nonlinear Sensor Fusion.ipynb | 622 +--- examples/Project.toml | 3 +- test/models/nonlinear/test_cvi.jl | 4 +- 7 files changed, 327 insertions(+), 3878 deletions(-) diff --git a/Project.toml b/Project.toml index 87650fbed..37e4de6ed 100644 --- a/Project.toml +++ b/Project.toml @@ -2,7 +2,7 @@ name = "RxInfer" uuid = "86711068-29c9-4ff7-b620-ae75d7495b3d" authors = ["Bagaev Dmitry and contributors"] # Do not forget to update the version in the `codemeta.json` too -version = "2.10.4" +version = "2.11.0" [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 = "~3.8.0" +ReactiveMP = "~3.9.0" Reexport = "1.2.0" Rocket = "1.7.0" TupleTools = "1.2.0" @@ -41,7 +41,7 @@ Coverage = "a2441757-f6aa-5fb2-8edb-039e3f45d037" Dates = "ade2ca70-3891-5945-98fb-dc099432e06a" Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b" Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4" -Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c" +Optimisers = "3bd65402-5787-11e9-1adc-39752487f4e2" InteractiveUtils = "b77e0a4c-d291-57a0-90e8-8db25a27a240" Logging = "56ddb016-857b-54e1-b83d-db4d58db5568" Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f" @@ -53,4 +53,4 @@ Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40" TestSetExtensions = "98d24dd4-01ad-11ea-1b02-c9a08f80db04" [targets] -test = ["Test", "Pkg", "Logging", "InteractiveUtils", "TestSetExtensions", "Coverage", "Dates", "Distributed", "Documenter", "Plots", "BenchmarkCI", "BenchmarkTools", "PkgBenchmark", "Aqua", "StableRNGs", "StatsFuns", "Flux"] +test = ["Test", "Pkg", "Logging", "InteractiveUtils", "TestSetExtensions", "Coverage", "Dates", "Distributed", "Documenter", "Plots", "BenchmarkCI", "BenchmarkTools", "PkgBenchmark", "Aqua", "StableRNGs", "StatsFuns", "Optimisers"] diff --git a/codemeta.json b/codemeta.json index 1653270dd..115588165 100644 --- 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": "2.10.4", + "version": "2.11.0", "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": "2.10.4", + "softwareVersion": "2.11.0", "keywords": [ "Bayesian inference", "message passing", diff --git a/examples/Conjugate-Computational Variational Message Passing.ipynb b/examples/Conjugate-Computational Variational Message Passing.ipynb index 92c9d7f98..924d2d5bb 100644 --- a/examples/Conjugate-Computational Variational Message Passing.ipynb +++ b/examples/Conjugate-Computational Variational Message Passing.ipynb @@ -9,21 +9,21 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m\u001b[1m Activating\u001b[22m\u001b[39m project at `~/.julia/dev/RxInfer.jl/examples`\n" - ] - } - ], + "outputs": [], "source": [ "# Activate local environment, see `Project.toml`\n", - "import Pkg; Pkg.activate(\".\"); Pkg.instantiate();\n", - "using RxInfer, Random, LinearAlgebra, Plots, Flux, Plots, StableRNGs, SpecialFunctions" + "import Pkg; Pkg.activate(\".\"); Pkg.instantiate();" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "using RxInfer, Random, LinearAlgebra, Plots, Optimisers, Plots, StableRNGs, SpecialFunctions" ] }, { @@ -51,294 +51,22 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# data generating process\n", "nr_observations = 50\n", "reference_point = 53\n", - "hidden_location = collect(1:nr_observations) + rand(MersenneTwister(124), NormalMeanVariance(0.0, sqrt(5)), nr_observations)\n", + "hidden_location = collect(1:nr_observations) + rand(StableRNG(124), NormalMeanVariance(0.0, sqrt(5)), nr_observations)\n", "measurements = (hidden_location .- reference_point).^2 + rand(MersenneTwister(124), NormalMeanVariance(0.0, 5), nr_observations);" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# plot hidden location and reference frame\n", "p1 = plot(1:nr_observations, hidden_location, linewidth=3, legend=:topleft, label=\"hidden location\")\n", @@ -371,7 +99,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -382,7 +110,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -430,7 +158,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -465,7 +193,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -496,22 +224,9 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Inference results:\n", - " Posteriors | available for (z)\n", - " Free Energy: | Real[1241.68, 428.557, 374.753, 364.755, 361.644]\n" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "results = inference(\n", " model = measurement_model(nr_observations),\n", @@ -520,7 +235,7 @@ " free_energy = true,\n", " returnvars = (z = KeepLast(),),\n", " constraints = measurement_constraints(),\n", - " meta = measurement_meta(StableRNG(42), 100, 200, Descent(0.01)),\n", + " meta = measurement_meta(StableRNG(42), 100, 200, Optimisers.Descent(0.01)),\n", " initmessages = (z = NormalMeanVariance(0, 5),),\n", " initmarginals = (z = NormalMeanVariance(0, 5), τ = GammaShapeRate(1.0, 1.0e-12), γ = GammaShapeRate(1.0, 1.0e-12),),\n", ")" @@ -528,239 +243,9 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# plot estimates for location\n", "p1 = plot(collect(1:nr_observations), hidden_location, label = \"hidden location\", legend=:topleft, linewidth=3, color = :red)\n", @@ -856,7 +341,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -889,231 +374,9 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# generate data\n", "y = rand(StableRNG(123), NormalMeanVariance(19^2, 1), 1000)\n", @@ -1129,20 +392,9 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "normal_square_meta (generic function with 1 method)" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# specify non-linearity\n", "f(x) = x ^ 2\n", @@ -1187,18 +439,83 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "-18.998360101686355" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[91m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[91m\u001b[1mError: \u001b[22m\u001b[39mError watching manifest\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m exception =\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m MethodError: no method matching iterate(::RelocatableFolders.Path)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m The applicable method may be too new: running in world age 33458, while current world is 33844.\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0mClosest candidates are:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path) (method too new to be called from this world context.)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:86\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path, \u001b[91m::Integer\u001b[39m) (method too new to be called from this world context.)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:87\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::AbstractString, \u001b[91m::Integer\u001b[39m)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90mstrings/\u001b[39m\u001b[90m\u001b[4mbasic.jl:157\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m ...\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] top-level scope\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[90m~/.julia/packages/Plots/esM5q/src/\u001b[39m\u001b[90m\u001b[4minit.jl:84\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Revise evaluation error at /Users/bvdmitri/.julia/packages/Plots/esM5q/src/init.jl:84\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] \u001b[0m\u001b[1mmethods_by_execution!\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mrecurse\u001b[39m::\u001b[0mAny, \u001b[90mmethodinfo\u001b[39m::\u001b[0mRevise.CodeTrackingMethodInfo, \u001b[90mdocexprs\u001b[39m::\u001b[0mDict\u001b[90m{Module, Vector{Expr}}\u001b[39m, \u001b[90mmod\u001b[39m::\u001b[0mModule, \u001b[90mex\u001b[39m::\u001b[0mExpr; \u001b[90mmode\u001b[39m::\u001b[0mSymbol, \u001b[90mdisablebp\u001b[39m::\u001b[0mBool, \u001b[90malways_rethrow\u001b[39m::\u001b[0mBool, \u001b[90mkwargs\u001b[39m::\u001b[0mBase.Pairs\u001b[90m{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[33mRevise\u001b[39m \u001b[90m~/.julia/packages/Revise/Kw99o/src/\u001b[39m\u001b[90m\u001b[4mlowered.jl:227\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Revise ~/.julia/packages/Revise/Kw99o/src/pkgs.jl:477\u001b[39m\n", + "\u001b[91m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[91m\u001b[1mError: \u001b[22m\u001b[39mError watching manifest\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m exception =\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m MethodError: no method matching iterate(::RelocatableFolders.Path)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m The applicable method may be too new: running in world age 33458, while current world is 33845.\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0mClosest candidates are:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path) (method too new to be called from this world context.)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:86\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path, \u001b[91m::Integer\u001b[39m) (method too new to be called from this world context.)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:87\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::AbstractString, \u001b[91m::Integer\u001b[39m)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90mstrings/\u001b[39m\u001b[90m\u001b[4mbasic.jl:157\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m ...\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] top-level scope\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[90m~/.julia/packages/Plots/esM5q/src/\u001b[39m\u001b[90m\u001b[4minit.jl:84\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Revise evaluation error at /Users/bvdmitri/.julia/packages/Plots/esM5q/src/init.jl:84\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] \u001b[0m\u001b[1mmethods_by_execution!\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mrecurse\u001b[39m::\u001b[0mAny, \u001b[90mmethodinfo\u001b[39m::\u001b[0mRevise.CodeTrackingMethodInfo, \u001b[90mdocexprs\u001b[39m::\u001b[0mDict\u001b[90m{Module, Vector{Expr}}\u001b[39m, \u001b[90mmod\u001b[39m::\u001b[0mModule, \u001b[90mex\u001b[39m::\u001b[0mExpr; \u001b[90mmode\u001b[39m::\u001b[0mSymbol, \u001b[90mdisablebp\u001b[39m::\u001b[0mBool, \u001b[90malways_rethrow\u001b[39m::\u001b[0mBool, \u001b[90mkwargs\u001b[39m::\u001b[0mBase.Pairs\u001b[90m{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[33mRevise\u001b[39m \u001b[90m~/.julia/packages/Revise/Kw99o/src/\u001b[39m\u001b[90m\u001b[4mlowered.jl:227\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Revise ~/.julia/packages/Revise/Kw99o/src/pkgs.jl:477\u001b[39m\n", + "\u001b[91m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[91m\u001b[1mError: \u001b[22m\u001b[39mError watching manifest\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m exception =\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m MethodError: no method matching iterate(::RelocatableFolders.Path)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m The applicable method may be too new: running in world age 33458, while current world is 33846.\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0mClosest candidates are:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path) (method too new to be called from this world context.)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:86\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path, \u001b[91m::Integer\u001b[39m) (method too new to be called from this world context.)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:87\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::AbstractString, \u001b[91m::Integer\u001b[39m)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90mstrings/\u001b[39m\u001b[90m\u001b[4mbasic.jl:157\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m ...\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] top-level scope\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[90m~/.julia/packages/Plots/esM5q/src/\u001b[39m\u001b[90m\u001b[4minit.jl:84\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Revise evaluation error at /Users/bvdmitri/.julia/packages/Plots/esM5q/src/init.jl:84\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] \u001b[0m\u001b[1mmethods_by_execution!\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mrecurse\u001b[39m::\u001b[0mAny, \u001b[90mmethodinfo\u001b[39m::\u001b[0mRevise.CodeTrackingMethodInfo, \u001b[90mdocexprs\u001b[39m::\u001b[0mDict\u001b[90m{Module, Vector{Expr}}\u001b[39m, \u001b[90mmod\u001b[39m::\u001b[0mModule, \u001b[90mex\u001b[39m::\u001b[0mExpr; \u001b[90mmode\u001b[39m::\u001b[0mSymbol, \u001b[90mdisablebp\u001b[39m::\u001b[0mBool, \u001b[90malways_rethrow\u001b[39m::\u001b[0mBool, \u001b[90mkwargs\u001b[39m::\u001b[0mBase.Pairs\u001b[90m{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[33mRevise\u001b[39m \u001b[90m~/.julia/packages/Revise/Kw99o/src/\u001b[39m\u001b[90m\u001b[4mlowered.jl:227\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Revise ~/.julia/packages/Revise/Kw99o/src/pkgs.jl:477\u001b[39m\n" + ] } ], "source": [ @@ -1223,24 +540,19 @@ "**Note**: \n", "$x^2$ can not be inverted; the sign information can be lost: -19 and 19 are both equally good solutions." ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Julia 1.8.3", + "display_name": "Julia 1.9.0", "language": "julia", - "name": "julia-1.8" + "name": "julia-1.9" }, "language_info": { "file_extension": ".jl", "mimetype": "application/julia", "name": "julia", - "version": "1.8.3" + "version": "1.9.0" } }, "nbformat": 4, diff --git a/examples/Kalman filter with LSTM network driven dynamic.ipynb b/examples/Kalman filter with LSTM network driven dynamic.ipynb index bd417b08b..115eeab33 100644 --- a/examples/Kalman filter with LSTM network driven dynamic.ipynb +++ b/examples/Kalman filter with LSTM network driven dynamic.ipynb @@ -26,17 +26,9 @@ }, { "cell_type": "code", - "execution_count": 115, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m\u001b[1m Activating\u001b[22m\u001b[39m project at `~/Documents/GitHub/RxInfer.jl/examples`\n" - ] - } - ], + "outputs": [], "source": [ "# Activate local environment, see `Project.toml`\n", "import Pkg; Pkg.activate(\".\"); Pkg.instantiate(); " @@ -44,32 +36,13 @@ }, { "cell_type": "code", - "execution_count": 116, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "using RxInfer, BenchmarkTools, Flux, ReverseDiff, Random, Plots, LinearAlgebra, ProgressMeter, JLD, StableRNGs" ] }, - { - "cell_type": "code", - "execution_count": 117, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "StableRNGs.LehmerRNG(state=0x000000000000000000000000000007cf)" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "rng = StableRNG(999)" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -79,7 +52,7 @@ }, { "cell_type": "code", - "execution_count": 118, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -104,11 +77,13 @@ }, { "cell_type": "code", - "execution_count": 119, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#Dataset\n", + "rng = StableRNG(999)\n", + "\n", "ordered_dataset = []\n", "ordered_parameters = []\n", "for σ = 11:15\n", @@ -162,348 +137,9 @@ }, { "cell_type": "code", - "execution_count": 120, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", - "text/html": [ - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "one_nonoise=noise_free_trainset[1]\n", "one=trainset[1]\n", @@ -562,7 +198,7 @@ }, { "cell_type": "code", - "execution_count": 121, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -592,7 +228,7 @@ }, { "cell_type": "code", - "execution_count": 122, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -625,7 +261,7 @@ }, { "cell_type": "code", - "execution_count": 123, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -644,19 +280,9 @@ }, { "cell_type": "code", - "execution_count": 124, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "get_matrix_AS (generic function with 1 method)" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "function get_matrix_AS(data,W1,b1,W2_1,W2_2,b2,s2_1,W3,b3)\n", " n = length(data)\n", @@ -676,7 +302,7 @@ }, { "cell_type": "code", - "execution_count": 125, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -696,738 +322,9 @@ }, { "cell_type": "code", - "execution_count": 126, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", - "text/html": [ - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Performance on an instance from the testset before training\n", "index = 1\n", @@ -1482,19 +379,9 @@ }, { "cell_type": "code", - "execution_count": 127, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "fe_tot_est (generic function with 1 method)" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# free energy objective to be optimized during training\n", "function fe_tot_est(W1,b1,W2_1,W2_2,b2,s2_1,W3,b3)\n", @@ -1521,12 +408,12 @@ }, { "cell_type": "code", - "execution_count": 128, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Training is a computationally expensive procedure, for the sake of an example we load pre-trained weights\n", - "# Uncomment the following code to train the network manyally\n", + "# Uncomment the following code to train the network manually\n", "# opt = Flux.Optimise.RMSProp(0.006, 0.95)\n", "# params = (W1,b1,W2_1,W2_2,b2,s2_1,W3,b3)\n", "# @showprogress for epoch in 1:800\n", @@ -1553,7 +440,7 @@ }, { "cell_type": "code", - "execution_count": 129, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1562,744 +449,9 @@ }, { "cell_type": "code", - "execution_count": 130, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", - "text/html": [ - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Performance on an instance from the testset after training\n", "index = 1\n", @@ -2368,19 +520,9 @@ }, { "cell_type": "code", - "execution_count": 131, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "g_predict (generic function with 1 method)" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "#Define the prediction function\n", "multiplyGaussian(A,m,V) = (A * m, A * V * transpose(A))\n", @@ -2409,7 +551,7 @@ }, { "cell_type": "code", - "execution_count": 132, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -2430,679 +572,83 @@ }, { "cell_type": "code", - "execution_count": 133, + "execution_count": null, "metadata": {}, "outputs": [ { - "data": { - "image/png": "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", - "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", - "text/html": [ - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[91m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[91m\u001b[1mError: \u001b[22m\u001b[39mError watching manifest\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m exception =\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m MethodError: no method matching iterate(::RelocatableFolders.Path)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m The applicable method may be too new: running in world age 33458, while current world is 33971.\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0mClosest candidates are:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path) (method too new to be called from this world context.)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:86\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path, \u001b[91m::Integer\u001b[39m) (method too new to be called from this world context.)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:87\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::AbstractString, \u001b[91m::Integer\u001b[39m)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90mstrings/\u001b[39m\u001b[90m\u001b[4mbasic.jl:157\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m ...\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] top-level scope\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[90m~/.julia/packages/Plots/esM5q/src/\u001b[39m\u001b[90m\u001b[4minit.jl:84\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Revise evaluation error at /Users/bvdmitri/.julia/packages/Plots/esM5q/src/init.jl:84\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] \u001b[0m\u001b[1mmethods_by_execution!\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mrecurse\u001b[39m::\u001b[0mAny, \u001b[90mmethodinfo\u001b[39m::\u001b[0mRevise.CodeTrackingMethodInfo, \u001b[90mdocexprs\u001b[39m::\u001b[0mDict\u001b[90m{Module, Vector{Expr}}\u001b[39m, \u001b[90mmod\u001b[39m::\u001b[0mModule, \u001b[90mex\u001b[39m::\u001b[0mExpr; \u001b[90mmode\u001b[39m::\u001b[0mSymbol, \u001b[90mdisablebp\u001b[39m::\u001b[0mBool, \u001b[90malways_rethrow\u001b[39m::\u001b[0mBool, \u001b[90mkwargs\u001b[39m::\u001b[0mBase.Pairs\u001b[90m{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[32mRevise\u001b[39m \u001b[90m~/.julia/packages/Revise/Kw99o/src/\u001b[39m\u001b[90m\u001b[4mlowered.jl:227\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Revise ~/.julia/packages/Revise/Kw99o/src/pkgs.jl:477\u001b[39m\n", + "\u001b[91m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[91m\u001b[1mError: \u001b[22m\u001b[39mError watching manifest\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m exception =\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m MethodError: no method matching iterate(::RelocatableFolders.Path)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m The applicable method may be too new: running in world age 33458, while current world is 33972.\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0mClosest candidates are:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path) (method too new to be called from this world context.)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:86\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path, \u001b[91m::Integer\u001b[39m) (method too new to be called from this world context.)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:87\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::AbstractString, \u001b[91m::Integer\u001b[39m)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90mstrings/\u001b[39m\u001b[90m\u001b[4mbasic.jl:157\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m ...\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] top-level scope\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[90m~/.julia/packages/Plots/esM5q/src/\u001b[39m\u001b[90m\u001b[4minit.jl:84\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Revise evaluation error at /Users/bvdmitri/.julia/packages/Plots/esM5q/src/init.jl:84\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] \u001b[0m\u001b[1mmethods_by_execution!\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mrecurse\u001b[39m::\u001b[0mAny, \u001b[90mmethodinfo\u001b[39m::\u001b[0mRevise.CodeTrackingMethodInfo, \u001b[90mdocexprs\u001b[39m::\u001b[0mDict\u001b[90m{Module, Vector{Expr}}\u001b[39m, \u001b[90mmod\u001b[39m::\u001b[0mModule, \u001b[90mex\u001b[39m::\u001b[0mExpr; \u001b[90mmode\u001b[39m::\u001b[0mSymbol, \u001b[90mdisablebp\u001b[39m::\u001b[0mBool, \u001b[90malways_rethrow\u001b[39m::\u001b[0mBool, \u001b[90mkwargs\u001b[39m::\u001b[0mBase.Pairs\u001b[90m{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[32mRevise\u001b[39m \u001b[90m~/.julia/packages/Revise/Kw99o/src/\u001b[39m\u001b[90m\u001b[4mlowered.jl:227\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Revise ~/.julia/packages/Revise/Kw99o/src/pkgs.jl:477\u001b[39m\n", + "\u001b[91m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[91m\u001b[1mError: \u001b[22m\u001b[39mError watching manifest\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m exception =\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m MethodError: no method matching iterate(::RelocatableFolders.Path)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m The applicable method may be too new: running in world age 33458, while current world is 33973.\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0mClosest candidates are:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path) (method too new to be called from this world context.)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:86\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path, \u001b[91m::Integer\u001b[39m) (method too new to be called from this world context.)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:87\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::AbstractString, \u001b[91m::Integer\u001b[39m)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90mstrings/\u001b[39m\u001b[90m\u001b[4mbasic.jl:157\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m ...\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] top-level scope\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[90m~/.julia/packages/Plots/esM5q/src/\u001b[39m\u001b[90m\u001b[4minit.jl:84\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Revise evaluation error at /Users/bvdmitri/.julia/packages/Plots/esM5q/src/init.jl:84\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] \u001b[0m\u001b[1mmethods_by_execution!\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mrecurse\u001b[39m::\u001b[0mAny, \u001b[90mmethodinfo\u001b[39m::\u001b[0mRevise.CodeTrackingMethodInfo, \u001b[90mdocexprs\u001b[39m::\u001b[0mDict\u001b[90m{Module, Vector{Expr}}\u001b[39m, \u001b[90mmod\u001b[39m::\u001b[0mModule, \u001b[90mex\u001b[39m::\u001b[0mExpr; \u001b[90mmode\u001b[39m::\u001b[0mSymbol, \u001b[90mdisablebp\u001b[39m::\u001b[0mBool, \u001b[90malways_rethrow\u001b[39m::\u001b[0mBool, \u001b[90mkwargs\u001b[39m::\u001b[0mBase.Pairs\u001b[90m{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[32mRevise\u001b[39m \u001b[90m~/.julia/packages/Revise/Kw99o/src/\u001b[39m\u001b[90m\u001b[4mlowered.jl:227\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Revise ~/.julia/packages/Revise/Kw99o/src/pkgs.jl:477\u001b[39m\n" + ] } ], "source": [ @@ -3144,15 +690,15 @@ "lastKernelId": null }, "kernelspec": { - "display_name": "Julia 1.7.2", + "display_name": "Julia 1.9.0", "language": "julia", - "name": "julia-1.7" + "name": "julia-1.9" }, "language_info": { "file_extension": ".jl", "mimetype": "application/julia", "name": "julia", - "version": "1.7.2" + "version": "1.9.0" } }, "nbformat": 4, diff --git a/examples/Nonlinear Sensor Fusion.ipynb b/examples/Nonlinear Sensor Fusion.ipynb index ab610ae20..7016abbb9 100644 --- a/examples/Nonlinear Sensor Fusion.ipynb +++ b/examples/Nonlinear Sensor Fusion.ipynb @@ -10,31 +10,24 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": null, "id": "bb533e86", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[32m\u001b[1m Activating\u001b[22m\u001b[39m project at `~/repos/RxInfer.jl/examples`\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "┌ Warning: The project dependencies or compat requirements have changed since the manifest was last resolved.\n", - "│ It is recommended to `Pkg.resolve()` or consider `Pkg.update()` if necessary.\n", - "└ @ Pkg.API /Users/julia/.julia/scratchspaces/a66863c6-20e8-4ff4-8a62-49f30b1f605e/agent-cache/default-macmini-aarch64-4.0/build/default-macmini-aarch64-4-0/julialang/julia-release-1-dot-8/usr/share/julia/stdlib/v1.8/Pkg/src/API.jl:1535\n" - ] - } - ], + "outputs": [], "source": [ "# Activate local environment, see `Project.toml`\n", - "import Pkg; Pkg.activate(\".\"); Pkg.instantiate(); \n", - "using RxInfer, Random, LinearAlgebra, Distributions, Plots, StatsPlots, Flux, DataFrames, DelimitedFiles, StableRNGs" + "import Pkg; Pkg.activate(\".\"); Pkg.instantiate(); " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "aa40da28", + "metadata": {}, + "outputs": [], + "source": [ + "using RxInfer, Random, LinearAlgebra, Distributions, Plots, StatsPlots, Optimisers, \n", + "using DataFrames, DelimitedFiles, StableRNGs" ] }, { @@ -51,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": null, "id": "185d1b7e-4aff-4771-9bd4-d2ea637e69e1", "metadata": {}, "outputs": [], @@ -65,111 +58,10 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": null, "id": "764c7255", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", - "text/html": [ - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# plot beacon and actual location of WALL-E\n", "p1 = scatter(beacon_locations[:,1], beacon_locations[:,2], markershape=:utriangle, markersize=10, legend=:topleft, label=\"beacon locations\")\n", @@ -204,7 +96,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": null, "id": "5c44987f", "metadata": {}, "outputs": [], @@ -220,7 +112,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": null, "id": "3fb37ff0", "metadata": {}, "outputs": [], @@ -254,7 +146,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "id": "8be63623", "metadata": {}, @@ -272,13 +163,13 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": null, "id": "f1fce811", "metadata": {}, "outputs": [], "source": [ "@meta function random_walk_model_meta(nr_samples, nr_iterations, rng)\n", - " compute_distances(z) -> CVI(rng, nr_samples, nr_iterations, Descent(0.1), ForwardDiffGrad(), 1, Val(false), false)\n", + " compute_distances(z) -> CVI(rng, nr_samples, nr_iterations, Optimisers.Descent(0.1), ForwardDiffGrad(), 1, Val(false), false)\n", "end;" ] }, @@ -292,7 +183,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": null, "id": "64129320", "metadata": {}, "outputs": [], @@ -310,7 +201,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": null, "id": "ff16cf34", "metadata": {}, "outputs": [], @@ -336,235 +227,10 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": null, "id": "c3d356ae", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", - "text/html": [ - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# plot beacon and actual and estimated location of WALL-E (fast inference)\n", "p1 = scatter(beacon_locations[:,1], beacon_locations[:,2], markershape=:utriangle, markersize=10, legend=:topleft, label=\"beacon locations\")\n", @@ -598,7 +264,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": null, "id": "47d8473b", "metadata": {}, "outputs": [], @@ -633,7 +299,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": null, "id": "ebe028f7", "metadata": {}, "outputs": [], @@ -653,7 +319,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": null, "id": "f46c43b5", "metadata": {}, "outputs": [], @@ -673,7 +339,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": null, "id": "4f1a00cd", "metadata": {}, "outputs": [], @@ -701,160 +367,84 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": null, "id": "ca89fa63", "metadata": {}, "outputs": [ { - "data": { - "image/png": "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", - "image/svg+xml": "\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", - "text/html": [ - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[91m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[91m\u001b[1mError: \u001b[22m\u001b[39mError watching manifest\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m exception =\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m MethodError: no method matching iterate(::RelocatableFolders.Path)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m The applicable method may be too new: running in world age 33458, while current world is 33880.\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0mClosest candidates are:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path) (method too new to be called from this world context.)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[33mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:86\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path, \u001b[91m::Integer\u001b[39m) (method too new to be called from this world context.)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[33mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:87\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::AbstractString, \u001b[91m::Integer\u001b[39m)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90mstrings/\u001b[39m\u001b[90m\u001b[4mbasic.jl:157\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m ...\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] top-level scope\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[90m~/.julia/packages/Plots/esM5q/src/\u001b[39m\u001b[90m\u001b[4minit.jl:84\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Revise evaluation error at /Users/bvdmitri/.julia/packages/Plots/esM5q/src/init.jl:84\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] \u001b[0m\u001b[1mmethods_by_execution!\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mrecurse\u001b[39m::\u001b[0mAny, \u001b[90mmethodinfo\u001b[39m::\u001b[0mRevise.CodeTrackingMethodInfo, \u001b[90mdocexprs\u001b[39m::\u001b[0mDict\u001b[90m{Module, Vector{Expr}}\u001b[39m, \u001b[90mmod\u001b[39m::\u001b[0mModule, \u001b[90mex\u001b[39m::\u001b[0mExpr; \u001b[90mmode\u001b[39m::\u001b[0mSymbol, \u001b[90mdisablebp\u001b[39m::\u001b[0mBool, \u001b[90malways_rethrow\u001b[39m::\u001b[0mBool, \u001b[90mkwargs\u001b[39m::\u001b[0mBase.Pairs\u001b[90m{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[35mRevise\u001b[39m \u001b[90m~/.julia/packages/Revise/Kw99o/src/\u001b[39m\u001b[90m\u001b[4mlowered.jl:227\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Revise ~/.julia/packages/Revise/Kw99o/src/pkgs.jl:477\u001b[39m\n", + "\u001b[91m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[91m\u001b[1mError: \u001b[22m\u001b[39mError watching manifest\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m exception =\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m MethodError: no method matching iterate(::RelocatableFolders.Path)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m The applicable method may be too new: running in world age 33458, while current world is 33881.\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0mClosest candidates are:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path) (method too new to be called from this world context.)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[33mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:86\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path, \u001b[91m::Integer\u001b[39m) (method too new to be called from this world context.)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[33mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:87\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::AbstractString, \u001b[91m::Integer\u001b[39m)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90mstrings/\u001b[39m\u001b[90m\u001b[4mbasic.jl:157\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m ...\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] top-level scope\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[90m~/.julia/packages/Plots/esM5q/src/\u001b[39m\u001b[90m\u001b[4minit.jl:84\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Revise evaluation error at /Users/bvdmitri/.julia/packages/Plots/esM5q/src/init.jl:84\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] \u001b[0m\u001b[1mmethods_by_execution!\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mrecurse\u001b[39m::\u001b[0mAny, \u001b[90mmethodinfo\u001b[39m::\u001b[0mRevise.CodeTrackingMethodInfo, \u001b[90mdocexprs\u001b[39m::\u001b[0mDict\u001b[90m{Module, Vector{Expr}}\u001b[39m, \u001b[90mmod\u001b[39m::\u001b[0mModule, \u001b[90mex\u001b[39m::\u001b[0mExpr; \u001b[90mmode\u001b[39m::\u001b[0mSymbol, \u001b[90mdisablebp\u001b[39m::\u001b[0mBool, \u001b[90malways_rethrow\u001b[39m::\u001b[0mBool, \u001b[90mkwargs\u001b[39m::\u001b[0mBase.Pairs\u001b[90m{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[35mRevise\u001b[39m \u001b[90m~/.julia/packages/Revise/Kw99o/src/\u001b[39m\u001b[90m\u001b[4mlowered.jl:227\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Revise ~/.julia/packages/Revise/Kw99o/src/pkgs.jl:477\u001b[39m\n", + "\u001b[91m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[91m\u001b[1mError: \u001b[22m\u001b[39mError watching manifest\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m exception =\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m MethodError: no method matching iterate(::RelocatableFolders.Path)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m The applicable method may be too new: running in world age 33458, while current world is 33882.\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0mClosest candidates are:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path) (method too new to be called from this world context.)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[33mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:86\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path, \u001b[91m::Integer\u001b[39m) (method too new to be called from this world context.)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[33mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:87\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::AbstractString, \u001b[91m::Integer\u001b[39m)\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90mstrings/\u001b[39m\u001b[90m\u001b[4mbasic.jl:157\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m ...\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] top-level scope\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[90m~/.julia/packages/Plots/esM5q/src/\u001b[39m\u001b[90m\u001b[4minit.jl:84\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Revise evaluation error at /Users/bvdmitri/.julia/packages/Plots/esM5q/src/init.jl:84\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] \u001b[0m\u001b[1mmethods_by_execution!\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mrecurse\u001b[39m::\u001b[0mAny, \u001b[90mmethodinfo\u001b[39m::\u001b[0mRevise.CodeTrackingMethodInfo, \u001b[90mdocexprs\u001b[39m::\u001b[0mDict\u001b[90m{Module, Vector{Expr}}\u001b[39m, \u001b[90mmod\u001b[39m::\u001b[0mModule, \u001b[90mex\u001b[39m::\u001b[0mExpr; \u001b[90mmode\u001b[39m::\u001b[0mSymbol, \u001b[90mdisablebp\u001b[39m::\u001b[0mBool, \u001b[90malways_rethrow\u001b[39m::\u001b[0mBool, \u001b[90mkwargs\u001b[39m::\u001b[0mBase.Pairs\u001b[90m{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", + "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[35mRevise\u001b[39m \u001b[90m~/.julia/packages/Revise/Kw99o/src/\u001b[39m\u001b[90m\u001b[4mlowered.jl:227\u001b[24m\u001b[39m\n", + "\u001b[91m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Revise ~/.julia/packages/Revise/Kw99o/src/pkgs.jl:477\u001b[39m\n" + ] } ], "source": [ @@ -882,15 +472,15 @@ ], "metadata": { "kernelspec": { - "display_name": "Julia 1.8.0", + "display_name": "Julia 1.9.0", "language": "julia", - "name": "julia-1.8" + "name": "julia-1.9" }, "language_info": { "file_extension": ".jl", "mimetype": "application/julia", "name": "julia", - "version": "1.8.0" + "version": "1.9.0" } }, "nbformat": 4, diff --git a/examples/Project.toml b/examples/Project.toml index 23f5c0205..8bb3fa905 100644 --- a/examples/Project.toml +++ b/examples/Project.toml @@ -6,16 +6,17 @@ Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f" Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c" GraphPPL = "b3f8163a-e979-4e85-b43e-1f63d8c8b42c" HypergeometricFunctions = "34004b35-14d8-5ef3-9330-4cdb6864b03a" +IJulia = "7073ff75-c697-5162-941a-fcdaad2a7d2a" JLD = "4138dd39-2aa7-5051-a626-17a0bb65d9c8" LaTeXStrings = "b964fa9f-0449-5b57-a5c2-d3ea65f4040f" Optim = "429524aa-4258-5aef-a3af-852621145aeb" +Optimisers = "3bd65402-5787-11e9-1adc-39752487f4e2" Parameters = "d96e819e-fc66-5662-9728-84c9c7592b0a" Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80" ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca" ReactiveMP = "a194aa59-28ba-4574-a09c-4a745416d6e3" ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267" Rocket = "df971d30-c9d6-4b37-b8ff-e965b2cb3a40" -RxInfer = "86711068-29c9-4ff7-b620-ae75d7495b3d" SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b" StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3" StatsFuns = "4c63d2b9-4356-54db-8cca-17b64c39e42c" diff --git a/test/models/nonlinear/test_cvi.jl b/test/models/nonlinear/test_cvi.jl index 0fd9b8fad..fee9af3f1 100644 --- a/test/models/nonlinear/test_cvi.jl +++ b/test/models/nonlinear/test_cvi.jl @@ -2,7 +2,7 @@ module ReactiveMPModelsNonLinearDynamicsTest using Test, InteractiveUtils using RxInfer, Distributions -using BenchmarkTools, Random, Plots, Dates, StableRNGs, Flux +using BenchmarkTools, Random, Plots, Dates, StableRNGs, Optimisers # Please use StableRNGs for random number generators @@ -44,7 +44,7 @@ constraints = @constraints begin end @meta function model_meta(rng, n_iterations, n_samples, learning_rate) - f() -> CVI(rng, n_iterations, n_samples, Descent(learning_rate)) + f() -> CVI(rng, n_iterations, n_samples, Optimisers.Descent(learning_rate)) end ## -------------------------------------------- ## From 8a6d6bb3e5dc98d022cc2246ec7884b7a92789a8 Mon Sep 17 00:00:00 2001 From: Bagaev Dmitry Date: Fri, 26 May 2023 12:39:46 +0200 Subject: [PATCH 2/3] fix examples --- ...tational Variational Message Passing.ipynb | 818 ++++- ...ter with LSTM network driven dynamic.ipynb | 2815 ++++++++++++++++- examples/Nonlinear Sensor Fusion.ipynb | 1061 ++++++- 3 files changed, 4401 insertions(+), 293 deletions(-) diff --git a/examples/Conjugate-Computational Variational Message Passing.ipynb b/examples/Conjugate-Computational Variational Message Passing.ipynb index 924d2d5bb..93cbcc24a 100644 --- a/examples/Conjugate-Computational Variational Message Passing.ipynb +++ b/examples/Conjugate-Computational Variational Message Passing.ipynb @@ -9,9 +9,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32m\u001b[1m Activating\u001b[22m\u001b[39m project at `~/.julia/dev/RxInfer.jl/examples`\n" + ] + } + ], "source": [ "# Activate local environment, see `Project.toml`\n", "import Pkg; Pkg.activate(\".\"); Pkg.instantiate();" @@ -19,7 +27,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -51,7 +59,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -64,9 +72,296 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/html": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# plot hidden location and reference frame\n", "p1 = plot(1:nr_observations, hidden_location, linewidth=3, legend=:topleft, label=\"hidden location\")\n", @@ -99,7 +394,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -110,7 +405,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -158,7 +453,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -193,7 +488,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -224,9 +519,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Inference results:\n", + " Posteriors | available for (z)\n", + " Free Energy: | Real[1242.02, 429.986, 376.154, 365.615, 362.082]\n" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "results = inference(\n", " model = measurement_model(nr_observations),\n", @@ -243,9 +551,186 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/html": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# plot estimates for location\n", "p1 = plot(collect(1:nr_observations), hidden_location, label = \"hidden location\", legend=:topleft, linewidth=3, color = :red)\n", @@ -341,7 +826,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -349,6 +834,10 @@ " learning_rate::Float64\n", "end\n", "\n", + "function ReactiveMP.cvi_setup(opt::CustomDescent, q)\n", + " return opt\n", + "end\n", + "\n", "function ReactiveMP.cvi_update!(opt::CustomDescent, λ, ∇)\n", " return vec(λ) - (opt.learning_rate .* vec(∇))\n", "end" @@ -374,9 +863,206 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/html": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# generate data\n", "y = rand(StableRNG(123), NormalMeanVariance(19^2, 1), 1000)\n", @@ -392,9 +1078,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "normal_square_meta (generic function with 1 method)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# specify non-linearity\n", "f(x) = x ^ 2\n", @@ -439,83 +1136,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[91m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[91m\u001b[1mError: \u001b[22m\u001b[39mError watching manifest\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m exception =\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m MethodError: no method matching iterate(::RelocatableFolders.Path)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m The applicable method may be too new: running in world age 33458, while current world is 33844.\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0mClosest candidates are:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path) (method too new to be called from this world context.)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:86\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path, \u001b[91m::Integer\u001b[39m) (method too new to be called from this world context.)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:87\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::AbstractString, \u001b[91m::Integer\u001b[39m)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90mstrings/\u001b[39m\u001b[90m\u001b[4mbasic.jl:157\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m ...\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] top-level scope\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[90m~/.julia/packages/Plots/esM5q/src/\u001b[39m\u001b[90m\u001b[4minit.jl:84\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Revise evaluation error at /Users/bvdmitri/.julia/packages/Plots/esM5q/src/init.jl:84\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] \u001b[0m\u001b[1mmethods_by_execution!\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mrecurse\u001b[39m::\u001b[0mAny, \u001b[90mmethodinfo\u001b[39m::\u001b[0mRevise.CodeTrackingMethodInfo, \u001b[90mdocexprs\u001b[39m::\u001b[0mDict\u001b[90m{Module, Vector{Expr}}\u001b[39m, \u001b[90mmod\u001b[39m::\u001b[0mModule, \u001b[90mex\u001b[39m::\u001b[0mExpr; \u001b[90mmode\u001b[39m::\u001b[0mSymbol, \u001b[90mdisablebp\u001b[39m::\u001b[0mBool, \u001b[90malways_rethrow\u001b[39m::\u001b[0mBool, \u001b[90mkwargs\u001b[39m::\u001b[0mBase.Pairs\u001b[90m{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[33mRevise\u001b[39m \u001b[90m~/.julia/packages/Revise/Kw99o/src/\u001b[39m\u001b[90m\u001b[4mlowered.jl:227\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Revise ~/.julia/packages/Revise/Kw99o/src/pkgs.jl:477\u001b[39m\n", - "\u001b[91m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[91m\u001b[1mError: \u001b[22m\u001b[39mError watching manifest\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m exception =\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m MethodError: no method matching iterate(::RelocatableFolders.Path)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m The applicable method may be too new: running in world age 33458, while current world is 33845.\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0mClosest candidates are:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path) (method too new to be called from this world context.)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:86\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path, \u001b[91m::Integer\u001b[39m) (method too new to be called from this world context.)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:87\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::AbstractString, \u001b[91m::Integer\u001b[39m)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90mstrings/\u001b[39m\u001b[90m\u001b[4mbasic.jl:157\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m ...\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] top-level scope\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[90m~/.julia/packages/Plots/esM5q/src/\u001b[39m\u001b[90m\u001b[4minit.jl:84\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Revise evaluation error at /Users/bvdmitri/.julia/packages/Plots/esM5q/src/init.jl:84\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] \u001b[0m\u001b[1mmethods_by_execution!\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mrecurse\u001b[39m::\u001b[0mAny, \u001b[90mmethodinfo\u001b[39m::\u001b[0mRevise.CodeTrackingMethodInfo, \u001b[90mdocexprs\u001b[39m::\u001b[0mDict\u001b[90m{Module, Vector{Expr}}\u001b[39m, \u001b[90mmod\u001b[39m::\u001b[0mModule, \u001b[90mex\u001b[39m::\u001b[0mExpr; \u001b[90mmode\u001b[39m::\u001b[0mSymbol, \u001b[90mdisablebp\u001b[39m::\u001b[0mBool, \u001b[90malways_rethrow\u001b[39m::\u001b[0mBool, \u001b[90mkwargs\u001b[39m::\u001b[0mBase.Pairs\u001b[90m{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[33mRevise\u001b[39m \u001b[90m~/.julia/packages/Revise/Kw99o/src/\u001b[39m\u001b[90m\u001b[4mlowered.jl:227\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Revise ~/.julia/packages/Revise/Kw99o/src/pkgs.jl:477\u001b[39m\n", - "\u001b[91m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[91m\u001b[1mError: \u001b[22m\u001b[39mError watching manifest\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m exception =\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m MethodError: no method matching iterate(::RelocatableFolders.Path)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m The applicable method may be too new: running in world age 33458, while current world is 33846.\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0mClosest candidates are:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path) (method too new to be called from this world context.)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:86\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path, \u001b[91m::Integer\u001b[39m) (method too new to be called from this world context.)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:87\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::AbstractString, \u001b[91m::Integer\u001b[39m)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90mstrings/\u001b[39m\u001b[90m\u001b[4mbasic.jl:157\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m ...\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] top-level scope\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[90m~/.julia/packages/Plots/esM5q/src/\u001b[39m\u001b[90m\u001b[4minit.jl:84\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Revise evaluation error at /Users/bvdmitri/.julia/packages/Plots/esM5q/src/init.jl:84\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] \u001b[0m\u001b[1mmethods_by_execution!\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mrecurse\u001b[39m::\u001b[0mAny, \u001b[90mmethodinfo\u001b[39m::\u001b[0mRevise.CodeTrackingMethodInfo, \u001b[90mdocexprs\u001b[39m::\u001b[0mDict\u001b[90m{Module, Vector{Expr}}\u001b[39m, \u001b[90mmod\u001b[39m::\u001b[0mModule, \u001b[90mex\u001b[39m::\u001b[0mExpr; \u001b[90mmode\u001b[39m::\u001b[0mSymbol, \u001b[90mdisablebp\u001b[39m::\u001b[0mBool, \u001b[90malways_rethrow\u001b[39m::\u001b[0mBool, \u001b[90mkwargs\u001b[39m::\u001b[0mBase.Pairs\u001b[90m{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[33mRevise\u001b[39m \u001b[90m~/.julia/packages/Revise/Kw99o/src/\u001b[39m\u001b[90m\u001b[4mlowered.jl:227\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Revise ~/.julia/packages/Revise/Kw99o/src/pkgs.jl:477\u001b[39m\n" - ] + "data": { + "text/plain": [ + "-18.998360101686355" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ diff --git a/examples/Kalman filter with LSTM network driven dynamic.ipynb b/examples/Kalman filter with LSTM network driven dynamic.ipynb index 115eeab33..c212e4d0e 100644 --- a/examples/Kalman filter with LSTM network driven dynamic.ipynb +++ b/examples/Kalman filter with LSTM network driven dynamic.ipynb @@ -26,9 +26,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32m\u001b[1m Activating\u001b[22m\u001b[39m project at `~/.julia/dev/RxInfer.jl/examples`\n" + ] + } + ], "source": [ "# Activate local environment, see `Project.toml`\n", "import Pkg; Pkg.activate(\".\"); Pkg.instantiate(); " @@ -36,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -52,7 +60,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -77,7 +85,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -137,9 +145,238 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/html": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "one_nonoise=noise_free_trainset[1]\n", "one=trainset[1]\n", @@ -198,7 +435,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -228,7 +465,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -261,7 +498,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -280,9 +517,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "get_matrix_AS (generic function with 1 method)" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "function get_matrix_AS(data,W1,b1,W2_1,W2_2,b2,s2_1,W3,b3)\n", " n = length(data)\n", @@ -302,7 +550,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -322,9 +570,862 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/html": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Performance on an instance from the testset before training\n", "index = 1\n", @@ -379,9 +1480,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "fe_tot_est (generic function with 1 method)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# free energy objective to be optimized during training\n", "function fe_tot_est(W1,b1,W2_1,W2_2,b2,s2_1,W3,b3)\n", @@ -408,7 +1520,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -440,7 +1552,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -449,9 +1561,866 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/html": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Performance on an instance from the testset after training\n", "index = 1\n", @@ -520,9 +2489,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "g_predict (generic function with 1 method)" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "#Define the prediction function\n", "multiplyGaussian(A,m,V) = (A * m, A * V * transpose(A))\n", @@ -551,7 +2531,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -572,83 +2552,722 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[91m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[91m\u001b[1mError: \u001b[22m\u001b[39mError watching manifest\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m exception =\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m MethodError: no method matching iterate(::RelocatableFolders.Path)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m The applicable method may be too new: running in world age 33458, while current world is 33971.\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0mClosest candidates are:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path) (method too new to be called from this world context.)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:86\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path, \u001b[91m::Integer\u001b[39m) (method too new to be called from this world context.)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:87\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::AbstractString, \u001b[91m::Integer\u001b[39m)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90mstrings/\u001b[39m\u001b[90m\u001b[4mbasic.jl:157\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m ...\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] top-level scope\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[90m~/.julia/packages/Plots/esM5q/src/\u001b[39m\u001b[90m\u001b[4minit.jl:84\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Revise evaluation error at /Users/bvdmitri/.julia/packages/Plots/esM5q/src/init.jl:84\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] \u001b[0m\u001b[1mmethods_by_execution!\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mrecurse\u001b[39m::\u001b[0mAny, \u001b[90mmethodinfo\u001b[39m::\u001b[0mRevise.CodeTrackingMethodInfo, \u001b[90mdocexprs\u001b[39m::\u001b[0mDict\u001b[90m{Module, Vector{Expr}}\u001b[39m, \u001b[90mmod\u001b[39m::\u001b[0mModule, \u001b[90mex\u001b[39m::\u001b[0mExpr; \u001b[90mmode\u001b[39m::\u001b[0mSymbol, \u001b[90mdisablebp\u001b[39m::\u001b[0mBool, \u001b[90malways_rethrow\u001b[39m::\u001b[0mBool, \u001b[90mkwargs\u001b[39m::\u001b[0mBase.Pairs\u001b[90m{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[32mRevise\u001b[39m \u001b[90m~/.julia/packages/Revise/Kw99o/src/\u001b[39m\u001b[90m\u001b[4mlowered.jl:227\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Revise ~/.julia/packages/Revise/Kw99o/src/pkgs.jl:477\u001b[39m\n", - "\u001b[91m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[91m\u001b[1mError: \u001b[22m\u001b[39mError watching manifest\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m exception =\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m MethodError: no method matching iterate(::RelocatableFolders.Path)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m The applicable method may be too new: running in world age 33458, while current world is 33972.\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0mClosest candidates are:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path) (method too new to be called from this world context.)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:86\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path, \u001b[91m::Integer\u001b[39m) (method too new to be called from this world context.)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:87\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::AbstractString, \u001b[91m::Integer\u001b[39m)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90mstrings/\u001b[39m\u001b[90m\u001b[4mbasic.jl:157\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m ...\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] top-level scope\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[90m~/.julia/packages/Plots/esM5q/src/\u001b[39m\u001b[90m\u001b[4minit.jl:84\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Revise evaluation error at /Users/bvdmitri/.julia/packages/Plots/esM5q/src/init.jl:84\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] \u001b[0m\u001b[1mmethods_by_execution!\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mrecurse\u001b[39m::\u001b[0mAny, \u001b[90mmethodinfo\u001b[39m::\u001b[0mRevise.CodeTrackingMethodInfo, \u001b[90mdocexprs\u001b[39m::\u001b[0mDict\u001b[90m{Module, Vector{Expr}}\u001b[39m, \u001b[90mmod\u001b[39m::\u001b[0mModule, \u001b[90mex\u001b[39m::\u001b[0mExpr; \u001b[90mmode\u001b[39m::\u001b[0mSymbol, \u001b[90mdisablebp\u001b[39m::\u001b[0mBool, \u001b[90malways_rethrow\u001b[39m::\u001b[0mBool, \u001b[90mkwargs\u001b[39m::\u001b[0mBase.Pairs\u001b[90m{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[32mRevise\u001b[39m \u001b[90m~/.julia/packages/Revise/Kw99o/src/\u001b[39m\u001b[90m\u001b[4mlowered.jl:227\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Revise ~/.julia/packages/Revise/Kw99o/src/pkgs.jl:477\u001b[39m\n", - "\u001b[91m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[91m\u001b[1mError: \u001b[22m\u001b[39mError watching manifest\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m exception =\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m MethodError: no method matching iterate(::RelocatableFolders.Path)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m The applicable method may be too new: running in world age 33458, while current world is 33973.\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0mClosest candidates are:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path) (method too new to be called from this world context.)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:86\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path, \u001b[91m::Integer\u001b[39m) (method too new to be called from this world context.)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[36mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:87\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::AbstractString, \u001b[91m::Integer\u001b[39m)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90mstrings/\u001b[39m\u001b[90m\u001b[4mbasic.jl:157\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m ...\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] top-level scope\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[90m~/.julia/packages/Plots/esM5q/src/\u001b[39m\u001b[90m\u001b[4minit.jl:84\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Revise evaluation error at /Users/bvdmitri/.julia/packages/Plots/esM5q/src/init.jl:84\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] \u001b[0m\u001b[1mmethods_by_execution!\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mrecurse\u001b[39m::\u001b[0mAny, \u001b[90mmethodinfo\u001b[39m::\u001b[0mRevise.CodeTrackingMethodInfo, \u001b[90mdocexprs\u001b[39m::\u001b[0mDict\u001b[90m{Module, Vector{Expr}}\u001b[39m, \u001b[90mmod\u001b[39m::\u001b[0mModule, \u001b[90mex\u001b[39m::\u001b[0mExpr; \u001b[90mmode\u001b[39m::\u001b[0mSymbol, \u001b[90mdisablebp\u001b[39m::\u001b[0mBool, \u001b[90malways_rethrow\u001b[39m::\u001b[0mBool, \u001b[90mkwargs\u001b[39m::\u001b[0mBase.Pairs\u001b[90m{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[32mRevise\u001b[39m \u001b[90m~/.julia/packages/Revise/Kw99o/src/\u001b[39m\u001b[90m\u001b[4mlowered.jl:227\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Revise ~/.julia/packages/Revise/Kw99o/src/pkgs.jl:477\u001b[39m\n" - ] + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/html": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ diff --git a/examples/Nonlinear Sensor Fusion.ipynb b/examples/Nonlinear Sensor Fusion.ipynb index 7016abbb9..d6ba0e2a4 100644 --- a/examples/Nonlinear Sensor Fusion.ipynb +++ b/examples/Nonlinear Sensor Fusion.ipynb @@ -10,10 +10,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "bb533e86", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\u001b[32m\u001b[1m Activating\u001b[22m\u001b[39m project at `~/.julia/dev/RxInfer.jl/examples`\n" + ] + } + ], "source": [ "# Activate local environment, see `Project.toml`\n", "import Pkg; Pkg.activate(\".\"); Pkg.instantiate(); " @@ -21,12 +29,12 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "aa40da28", + "execution_count": 2, + "id": "6fdaf022", "metadata": {}, "outputs": [], "source": [ - "using RxInfer, Random, LinearAlgebra, Distributions, Plots, StatsPlots, Optimisers, \n", + "using RxInfer, Random, LinearAlgebra, Distributions, Plots, StatsPlots, Optimisers\n", "using DataFrames, DelimitedFiles, StableRNGs" ] }, @@ -44,7 +52,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "185d1b7e-4aff-4771-9bd4-d2ea637e69e1", "metadata": {}, "outputs": [], @@ -58,10 +66,203 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "764c7255", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/html": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# plot beacon and actual location of WALL-E\n", "p1 = scatter(beacon_locations[:,1], beacon_locations[:,2], markershape=:utriangle, markersize=10, legend=:topleft, label=\"beacon locations\")\n", @@ -96,7 +297,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "5c44987f", "metadata": {}, "outputs": [], @@ -112,7 +313,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "3fb37ff0", "metadata": {}, "outputs": [], @@ -163,7 +364,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "f1fce811", "metadata": {}, "outputs": [], @@ -183,7 +384,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "64129320", "metadata": {}, "outputs": [], @@ -201,7 +402,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "ff16cf34", "metadata": {}, "outputs": [], @@ -227,10 +428,451 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "id": "c3d356ae", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/html": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# plot beacon and actual and estimated location of WALL-E (fast inference)\n", "p1 = scatter(beacon_locations[:,1], beacon_locations[:,2], markershape=:utriangle, markersize=10, legend=:topleft, label=\"beacon locations\")\n", @@ -264,7 +906,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "id": "47d8473b", "metadata": {}, "outputs": [], @@ -299,13 +941,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "id": "ebe028f7", "metadata": {}, "outputs": [], "source": [ "meta = @meta begin \n", - " compute_distances(z) -> CVI(StableRNG(42), 2000, 100, Descent(0.01))\n", + " compute_distances(z) -> CVI(StableRNG(42), 1000, 100, Optimisers.Descent(0.01), ForwardDiffGrad(), 1, Val(false), false)\n", "end;" ] }, @@ -319,7 +961,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "id": "f46c43b5", "metadata": {}, "outputs": [], @@ -339,7 +981,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "id": "4f1a00cd", "metadata": {}, "outputs": [], @@ -367,84 +1009,307 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "id": "ca89fa63", "metadata": {}, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[91m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[91m\u001b[1mError: \u001b[22m\u001b[39mError watching manifest\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m exception =\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m MethodError: no method matching iterate(::RelocatableFolders.Path)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m The applicable method may be too new: running in world age 33458, while current world is 33880.\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0mClosest candidates are:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path) (method too new to be called from this world context.)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[33mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:86\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path, \u001b[91m::Integer\u001b[39m) (method too new to be called from this world context.)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[33mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:87\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::AbstractString, \u001b[91m::Integer\u001b[39m)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90mstrings/\u001b[39m\u001b[90m\u001b[4mbasic.jl:157\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m ...\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] top-level scope\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[90m~/.julia/packages/Plots/esM5q/src/\u001b[39m\u001b[90m\u001b[4minit.jl:84\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Revise evaluation error at /Users/bvdmitri/.julia/packages/Plots/esM5q/src/init.jl:84\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] \u001b[0m\u001b[1mmethods_by_execution!\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mrecurse\u001b[39m::\u001b[0mAny, \u001b[90mmethodinfo\u001b[39m::\u001b[0mRevise.CodeTrackingMethodInfo, \u001b[90mdocexprs\u001b[39m::\u001b[0mDict\u001b[90m{Module, Vector{Expr}}\u001b[39m, \u001b[90mmod\u001b[39m::\u001b[0mModule, \u001b[90mex\u001b[39m::\u001b[0mExpr; \u001b[90mmode\u001b[39m::\u001b[0mSymbol, \u001b[90mdisablebp\u001b[39m::\u001b[0mBool, \u001b[90malways_rethrow\u001b[39m::\u001b[0mBool, \u001b[90mkwargs\u001b[39m::\u001b[0mBase.Pairs\u001b[90m{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[35mRevise\u001b[39m \u001b[90m~/.julia/packages/Revise/Kw99o/src/\u001b[39m\u001b[90m\u001b[4mlowered.jl:227\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Revise ~/.julia/packages/Revise/Kw99o/src/pkgs.jl:477\u001b[39m\n", - "\u001b[91m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[91m\u001b[1mError: \u001b[22m\u001b[39mError watching manifest\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m exception =\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m MethodError: no method matching iterate(::RelocatableFolders.Path)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m The applicable method may be too new: running in world age 33458, while current world is 33881.\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0mClosest candidates are:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path) (method too new to be called from this world context.)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[33mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:86\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path, \u001b[91m::Integer\u001b[39m) (method too new to be called from this world context.)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[33mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:87\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::AbstractString, \u001b[91m::Integer\u001b[39m)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90mstrings/\u001b[39m\u001b[90m\u001b[4mbasic.jl:157\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m ...\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] top-level scope\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[90m~/.julia/packages/Plots/esM5q/src/\u001b[39m\u001b[90m\u001b[4minit.jl:84\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Revise evaluation error at /Users/bvdmitri/.julia/packages/Plots/esM5q/src/init.jl:84\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] \u001b[0m\u001b[1mmethods_by_execution!\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mrecurse\u001b[39m::\u001b[0mAny, \u001b[90mmethodinfo\u001b[39m::\u001b[0mRevise.CodeTrackingMethodInfo, \u001b[90mdocexprs\u001b[39m::\u001b[0mDict\u001b[90m{Module, Vector{Expr}}\u001b[39m, \u001b[90mmod\u001b[39m::\u001b[0mModule, \u001b[90mex\u001b[39m::\u001b[0mExpr; \u001b[90mmode\u001b[39m::\u001b[0mSymbol, \u001b[90mdisablebp\u001b[39m::\u001b[0mBool, \u001b[90malways_rethrow\u001b[39m::\u001b[0mBool, \u001b[90mkwargs\u001b[39m::\u001b[0mBase.Pairs\u001b[90m{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[35mRevise\u001b[39m \u001b[90m~/.julia/packages/Revise/Kw99o/src/\u001b[39m\u001b[90m\u001b[4mlowered.jl:227\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Revise ~/.julia/packages/Revise/Kw99o/src/pkgs.jl:477\u001b[39m\n", - "\u001b[91m\u001b[1m┌ \u001b[22m\u001b[39m\u001b[91m\u001b[1mError: \u001b[22m\u001b[39mError watching manifest\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m exception =\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m MethodError: no method matching iterate(::RelocatableFolders.Path)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m The applicable method may be too new: running in world age 33458, while current world is 33882.\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0mClosest candidates are:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path) (method too new to be called from this world context.)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[33mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:86\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::RelocatableFolders.Path, \u001b[91m::Integer\u001b[39m) (method too new to be called from this world context.)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[33mRelocatableFolders\u001b[39m \u001b[90m~/.julia/packages/RelocatableFolders/xuLyx/src/\u001b[39m\u001b[90m\u001b[4mRelocatableFolders.jl:87\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m iterate(::AbstractString, \u001b[91m::Integer\u001b[39m)\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m\u001b[90m @\u001b[39m \u001b[90mBase\u001b[39m \u001b[90mstrings/\u001b[39m\u001b[90m\u001b[4mbasic.jl:157\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[0m ...\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] top-level scope\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[90m~/.julia/packages/Plots/esM5q/src/\u001b[39m\u001b[90m\u001b[4minit.jl:84\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Revise evaluation error at /Users/bvdmitri/.julia/packages/Plots/esM5q/src/init.jl:84\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m Stacktrace:\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m [1] \u001b[0m\u001b[1mmethods_by_execution!\u001b[22m\u001b[0m\u001b[1m(\u001b[22m\u001b[90mrecurse\u001b[39m::\u001b[0mAny, \u001b[90mmethodinfo\u001b[39m::\u001b[0mRevise.CodeTrackingMethodInfo, \u001b[90mdocexprs\u001b[39m::\u001b[0mDict\u001b[90m{Module, Vector{Expr}}\u001b[39m, \u001b[90mmod\u001b[39m::\u001b[0mModule, \u001b[90mex\u001b[39m::\u001b[0mExpr; \u001b[90mmode\u001b[39m::\u001b[0mSymbol, \u001b[90mdisablebp\u001b[39m::\u001b[0mBool, \u001b[90malways_rethrow\u001b[39m::\u001b[0mBool, \u001b[90mkwargs\u001b[39m::\u001b[0mBase.Pairs\u001b[90m{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}}\u001b[39m\u001b[0m\u001b[1m)\u001b[22m\n", - "\u001b[91m\u001b[1m│ \u001b[22m\u001b[39m \u001b[90m @\u001b[39m \u001b[35mRevise\u001b[39m \u001b[90m~/.julia/packages/Revise/Kw99o/src/\u001b[39m\u001b[90m\u001b[4mlowered.jl:227\u001b[24m\u001b[39m\n", - "\u001b[91m\u001b[1m└ \u001b[22m\u001b[39m\u001b[90m@ Revise ~/.julia/packages/Revise/Kw99o/src/pkgs.jl:477\u001b[39m\n" - ] + "data": { + "image/png": "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", + "image/svg+xml": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "text/html": [ + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ @@ -460,14 +1325,6 @@ "\n", "plot(p1, p2, size=(1200, 500))" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ff9dbd1f", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { From 811f413ba0ec49b765d8c7bfcecf613631eab88e Mon Sep 17 00:00:00 2001 From: Bagaev Dmitry Date: Fri, 26 May 2023 12:41:55 +0200 Subject: [PATCH 3/3] return RxInfer to examples Project.toml --- examples/Project.toml | 1 + 1 file changed, 1 insertion(+) diff --git a/examples/Project.toml b/examples/Project.toml index 8bb3fa905..06fdea5b1 100644 --- a/examples/Project.toml +++ b/examples/Project.toml @@ -17,6 +17,7 @@ ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca" ReactiveMP = "a194aa59-28ba-4574-a09c-4a745416d6e3" ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267" Rocket = "df971d30-c9d6-4b37-b8ff-e965b2cb3a40" +RxInfer = "86711068-29c9-4ff7-b620-ae75d7495b3d" SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b" StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3" StatsFuns = "4c63d2b9-4356-54db-8cca-17b64c39e42c"