Package evaluation to test LaplaceRedux on Julia 1.12.7-DEV.5 (decd03c4f0*) started at 2026-06-20T03:04:27.592 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.12` Set-up completed after 8.14s ################################################################################ # Installation # Installing LaplaceRedux... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [c52c1a26] + LaplaceRedux v1.3.1 Updating `~/.julia/environments/v1.12/Manifest.toml` [47edcb42] + ADTypes v1.22.0 [621f4979] + AbstractFFTs v1.5.0 [79e6a3ab] + Adapt v4.6.1 [66dad0bd] + AliasTables v1.1.3 [a9b6321e] + Atomix v1.1.3 [fa961155] + CEnum v0.5.0 [49dc2e85] + Calculus v0.5.2 [324d7699] + CategoricalArrays v1.1.1 [af321ab8] + CategoricalDistributions v0.2.2 [082447d4] + ChainRules v1.73.0 [d360d2e6] + ChainRulesCore v1.26.1 [3da002f7] + ColorTypes v0.12.1 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [ed09eef8] + ComputationalResources v0.3.2 [187b0558] + ConstructionBase v1.6.0 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.5 [e2d170a0] + DataValueInterfaces v1.0.0 [8bb1440f] + DelimitedFiles v1.9.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 [31c24e10] + Distributions v0.25.127 [ffbed154] + DocStringExtensions v0.9.5 [f151be2c] + EnzymeCore v0.8.20 [1a297f60] + FillArrays v1.16.0 ⌅ [53c48c17] + FixedPointNumbers v0.8.6 [587475ba] + Flux v0.16.10 [f6369f11] + ForwardDiff v1.4.1 [d9f16b24] + Functors v0.5.2 [0c68f7d7] + GPUArrays v11.5.8 [46192b85] + GPUArraysCore v0.2.0 [076d061b] + HashArrayMappedTries v0.2.0 [34004b35] + HypergeometricFunctions v0.3.28 [7869d1d1] + IRTools v0.4.17 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.6 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.8.0 [63c18a36] + KernelAbstractions v0.9.41 [929cbde3] + LLVM v9.9.0 [b964fa9f] + LaTeXStrings v1.4.0 [c52c1a26] + LaplaceRedux v1.3.1 [92ad9a40] + LearnAPI v2.0.1 [2ab3a3ac] + LogExpFunctions v1.0.1 [c2834f40] + MLCore v1.0.2 [7e8f7934] + MLDataDevices v1.17.10 [a7f614a8] + MLJBase v1.13.1 [e80e1ace] + MLJModelInterface v1.12.1 [f1d291b0] + MLUtils v0.4.9 [1914dd2f] + MacroTools v0.5.16 [eff96d63] + Measurements v2.14.1 [e1d29d7a] + Missings v1.2.0 [872c559c] + NNlib v0.9.36 [77ba4419] + NaNMath v1.1.4 [0b1bfda6] + OneHotArrays v0.2.11 [3bd65402] + Optimisers v0.4.7 ⌅ [bac558e1] + OrderedCollections v1.8.2 [90014a1f] + PDMats v0.11.37 [d96e819e] + Parameters v0.13.1 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [08abe8d2] + PrettyTables v3.3.2 [33c8b6b6] + ProgressLogging v0.1.6 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.4.0 [1fd47b50] + QuadGK v2.11.3 [c1ae055f] + RealDot v0.1.0 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 [431bcebd] + SciMLPublic v1.0.1 [321657f4] + ScientificTypes v3.3.0 [30f210dd] + ScientificTypesBase v3.1.0 [7e506255] + ScopedValues v1.6.2 [efcf1570] + Setfield v1.1.2 [605ecd9f] + ShowCases v0.1.0 [699a6c99] + SimpleTraits v0.9.6 [a2af1166] + SortingAlgorithms v1.2.2 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.8.0 [90137ffa] + StaticArrays v1.9.18 [1e83bf80] + StaticArraysCore v1.4.4 [c062fc1d] + StatisticalMeasuresBase v0.1.4 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.12 [4c63d2b9] + StatsFuns v2.2.0 [892a3eda] + StringManipulation v0.4.4 [09ab397b] + StructArrays v0.7.3 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [bc48ee85] + Tullio v0.3.9 [3a884ed6] + UnPack v1.0.2 [013be700] + UnsafeAtomics v0.3.1 [e88e6eb3] + Zygote v0.7.11 [700de1a5] + ZygoteRules v0.2.7 [dad2f222] + LLVMExtra_jll v0.0.43+1 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.12.1 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.15.0+0 [e37daf67] + LibGit2_jll v1.9.0+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.11.4 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [bea87d4a] + SuiteSparse_jll v7.8.3+2 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.64.0+1 [3f19e933] + p7zip_jll v17.7.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 7.51s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 297373.2 ms ✓ LaplaceRedux 1 dependency successfully precompiled in 316 seconds. 340 already precompiled. Precompilation completed after 335.46s ################################################################################ # Testing # Testing LaplaceRedux Status `/tmp/jl_ZCxQvy/Project.toml` [4c88cf16] Aqua v0.8.16 [336ed68f] CSV v0.10.16 [af321ab8] CategoricalDistributions v0.2.2 [a93c6f00] DataFrames v1.8.2 [8bb1440f] DelimitedFiles v1.9.1 [31c24e10] Distributions v0.25.127 [587475ba] Flux v0.16.10 [682c06a0] JSON v1.6.1 [c52c1a26] LaplaceRedux v1.3.1 [a7f614a8] MLJBase v1.13.1 [e80e1ace] MLJModelInterface v1.12.1 [72560011] MLJTestInterface v0.2.9 [f1d291b0] MLUtils v0.4.9 [3bd65402] Optimisers v0.4.7 [91a5bcdd] Plots v1.41.6 [860ef19b] StableRNGs v1.0.4 [a19d573c] StatisticalMeasures v0.3.6 [10745b16] Statistics v1.11.1 [592b5752] Trapz v2.0.3 [bc48ee85] Tullio v0.3.9 [e88e6eb3] Zygote v0.7.11 [37e2e46d] LinearAlgebra v1.12.0 [9a3f8284] Random v1.11.0 [9e88b42a] Serialization v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_ZCxQvy/Manifest.toml` [47edcb42] ADTypes v1.22.0 [621f4979] 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Testing Running tests... Precompiling packages... 10006.9 ms ✓ Distributions → DistributionsTestExt 1 dependency successfully precompiled in 14 seconds. 48 already precompiled. Precompiling packages... 19549.4 ms ✓ PlotUtils 10246.1 ms ✓ PlotThemes 9561.3 ms ✓ RecipesPipeline 122848.1 ms ✓ Plots 4 dependencies successfully precompiled in 164 seconds. 176 already precompiled. Precompiling packages... 1184.7 ms ✓ StructUtils → StructUtilsTablesExt 1 dependency successfully precompiled in 1 seconds. 11 already precompiled. Precompiling packages... 1373.0 ms ✓ CategoricalArrays → CategoricalArraysJSONExt 1 dependency successfully precompiled in 2 seconds. 19 already precompiled. Training networks. Running workflows. [ Info: Running workflow for: (regression, 0, GGN, all) [ Info: Running workflow for: (regression, 0, EmpiricalFisher, all) [ Info: Running workflow for: (regression, 32, GGN, all) [ Info: Running workflow for: (regression, 32, EmpiricalFisher, all) [ Info: Running workflow for: (regression, 0, GGN, last_layer) [ Info: Running workflow for: (regression, 0, EmpiricalFisher, last_layer) [ Info: Running workflow for: (regression, 32, GGN, last_layer) [ Info: Running workflow for: (regression, 32, EmpiricalFisher, last_layer) [ Info: Running workflow for: (regression, 0, GGN, subnetwork) [ Info: Running workflow for: (regression, 0, EmpiricalFisher, subnetwork) [ Info: Running workflow for: (regression, 32, GGN, subnetwork) [ Info: Running workflow for: (regression, 32, EmpiricalFisher, subnetwork) [ Info: Running workflow for: (classification_multi, 0, GGN, all) [ Info: Running workflow for: (classification_multi, 0, EmpiricalFisher, all) [ Info: Running workflow for: (classification_multi, 32, GGN, all) [ Info: Running workflow for: (classification_multi, 32, EmpiricalFisher, all) [ Info: Running workflow for: (classification_multi, 0, GGN, last_layer) [ Info: Running workflow for: (classification_multi, 0, EmpiricalFisher, last_layer) [ Info: Running workflow for: (classification_multi, 32, GGN, last_layer) [ Info: Running workflow for: (classification_multi, 32, EmpiricalFisher, last_layer) [ Info: Running workflow for: (classification_multi, 0, GGN, subnetwork) [ Info: Running workflow for: (classification_multi, 0, EmpiricalFisher, subnetwork) [ Info: Running workflow for: (classification_multi, 32, GGN, subnetwork) [ Info: Running workflow for: (classification_multi, 32, EmpiricalFisher, subnetwork) [ Info: Running workflow for: (classification_binary, 0, GGN, all) [ Info: Running workflow for: (classification_binary, 0, EmpiricalFisher, all) [ Info: Running workflow for: (classification_binary, 32, GGN, all) [ Info: Running workflow for: (classification_binary, 32, EmpiricalFisher, all) [ Info: Running workflow for: (classification_binary, 0, GGN, last_layer) [ Info: Running workflow for: (classification_binary, 0, EmpiricalFisher, last_layer) [ Info: Running workflow for: (classification_binary, 32, GGN, last_layer) [ Info: Running workflow for: (classification_binary, 32, EmpiricalFisher, last_layer) [ Info: Running workflow for: (classification_binary, 0, GGN, subnetwork) [ Info: Running workflow for: (classification_binary, 0, EmpiricalFisher, subnetwork) [ Info: Running workflow for: (classification_binary, 32, GGN, subnetwork) [ Info: Running workflow for: (classification_binary, 32, EmpiricalFisher, subnetwork) [ Info: Running workflow for: (regression, GGN, all) [ Info: Running workflow for: (classification_multi, GGN, all) [ Info: Running workflow for: (classification_binary, GGN, all) [ Info: Running workflow for: (regression, EmpiricalFisher, all) [ Info: Running workflow for: (classification_multi, EmpiricalFisher, all) [ Info: Running workflow for: (classification_binary, EmpiricalFisher, all) [ Info: Running workflow for: (regression, GGN, last_layer) [ Info: Running workflow for: (classification_multi, GGN, last_layer) [ Info: Running workflow for: (classification_binary, GGN, last_layer) [ Info: Running workflow for: (regression, EmpiricalFisher, last_layer) [ Info: Running workflow for: (classification_multi, EmpiricalFisher, last_layer) [ Info: Running workflow for: (classification_binary, EmpiricalFisher, last_layer) [ Info: Running workflow for: (regression, GGN, subnetwork) [ Info: Running workflow for: (classification_multi, GGN, subnetwork) [ Info: Running workflow for: (classification_binary, GGN, subnetwork) [ Info: Running workflow for: (regression, EmpiricalFisher, subnetwork) [ Info: Running workflow for: (classification_multi, EmpiricalFisher, subnetwork) [ Info: Running workflow for: (classification_binary, EmpiricalFisher, subnetwork) [ Info: testing sharpness_regression with distributions [ Info: testing empirical_frequency_regression with distributions [ Info: testing sharpness_classification with distributions [ Info: testing empirical_frequency_classification with distributions [ Info: testing sigma scaling technique Precompiling packages... 4878.7 ms ✓ CategoricalArrays → CategoricalArraysSentinelArraysExt 1 dependency successfully precompiled in 5 seconds. 14 already precompiled. Precompiling packages... 97080.8 ms ✓ DataFrames 1 dependency successfully precompiled in 99 seconds. 35 already precompiled. ┌ Warning: Layer with Float32 parameters got Float64 input. │ The input will be converted, but any earlier layers may be very slow. │ layer = Dense(2 => 3, σ) # 9 parameters │ summary(x) = "2-element Vector{Float64}" └ @ Flux ~/.julia/packages/Flux/hrg9M/src/layers/stateless.jl:60 Precompiling packages... 51073.7 ms ✓ StatisticalMeasures 12626.2 ms ✓ StatisticalMeasures → ScientificTypesExt 2 dependencies successfully precompiled in 69 seconds. 104 already precompiled. Precompiling packages... 12878.0 ms ✓ MLJBase → DefaultMeasuresExt 1 dependency successfully precompiled in 18 seconds. 120 already precompiled. Precompiling packages... 21446.4 ms ✓ MLJTestInterface 1 dependency successfully precompiled in 26 seconds. 136 already precompiled. [ Info: testing interface for LaplaceRegressor The number of epochs inserted is lower than the number of epochs already been trained. No update is necessary updating only the laplace optimization part [ Info: Training machine(LaplaceRegressor(model = nothing, …), …). ┌ Warning: Warning: no Flux model has been provided in the model. LaplaceRedux will use a standard MLP with 2 hidden layers with 20 neurons each and input and output layers compatible with the dataset. └ @ LaplaceRedux ~/.julia/packages/LaplaceRedux/r6S6U/src/direct_mlj.jl:152 [ Info: Iteration 10: P₀=0.9260080936267164, σ=0.7185615291318521 loss(exp.(logP₀), exp.(logσ)) = 208.6726265499674 Log likelihood: -143.42406196558073 Log det ratio: 86.87172010152696 Scatter: 43.62540906724632 [ Info: Iteration 20: P₀=0.9302204763982714, σ=0.7469522986466943 loss(exp.(logP₀), exp.(logσ)) = 208.5572934476145 Log likelihood: -143.30531163009613 Log det ratio: 86.68010390324258 Scatter: 43.82385973179417 [ Info: Iteration 30: P₀=0.9151584492495505, σ=0.75075725212942 loss(exp.(logP₀), exp.(logσ)) = 208.5609483565683 Log likelihood: -143.3184559645251 Log det ratio: 87.37071614579064 Scatter: 43.1142686382958 [ Info: Iteration 40: P₀=0.9060581256678345, σ=0.727991985246391 loss(exp.(logP₀), exp.(logσ)) = 208.58047850856207 Log likelihood: -143.33998555921545 Log det ratio: 87.79544498062907 Scatter: 42.68554091806413 [ Info: Iteration 50: P₀=0.903842612295487, σ=0.7526097251327859 loss(exp.(logP₀), exp.(logσ)) = 208.56759698021065 Log likelihood: -143.32715562860912 Log det ratio: 87.89971741406467 Scatter: 42.58116528913839 [ Info: Iteration 60: P₀=0.9041390874154746, σ=0.7371919441474032 loss(exp.(logP₀), exp.(logσ)) = 208.54211918550254 Log likelihood: -143.30168089669075 Log det ratio: 87.88574397170171 Scatter: 42.59513260592183 [ Info: Iteration 70: P₀=0.9048469778938238, σ=0.7394600989980894 loss(exp.(logP₀), exp.(logσ)) = 208.53900764010535 Log likelihood: -143.2985641957804 Log det ratio: 87.85240466958183 Scatter: 42.62848221906813 [ Info: Iteration 80: P₀=0.9052263413555781, σ=0.7436787922454242 loss(exp.(logP₀), exp.(logσ)) = 208.53964521001564 Log likelihood: -143.2991917778345 Log det ratio: 87.83455235420072 Scatter: 42.646354510161586 [ Info: Iteration 90: P₀=0.9050450391385149, σ=0.7412407554075742 loss(exp.(logP₀), exp.(logσ)) = 208.53826720507215 Log likelihood: -143.2978191747266 Log det ratio: 87.84308292661315 Scatter: 42.63781313407793 [ Info: Iteration 100: P₀=0.9044979021259633, σ=0.7403633302660289 loss(exp.(logP₀), exp.(logσ)) = 208.53843925341565 Log likelihood: -143.2980005467478 Log det ratio: 87.86884059390628 Scatter: 42.612036819429406 [ Info: Updating machine(LaplaceRegressor(model = Chain(Dense(4 => 20, relu), Dense(20 => 20, relu), Dense(20 => 20, relu), Dense(20 => 1)), …), …). Epoch 100: Loss: 50.74153874029481 [ Info: Iteration 10: P₀=1.0720884604032432, σ=0.5342491883369392 loss(exp.(logP₀), exp.(logσ)) = 328.12885771190156 Log likelihood: -125.73589088145002 Log det ratio: 316.4518039194122 Scatter: 88.3341297414908 [ Info: Iteration 20: P₀=1.053372466550044, σ=0.6972821735757682 loss(exp.(logP₀), exp.(logσ)) = 325.72167978292 Log likelihood: -123.33950897026531 Log det ratio: 317.972305741118 Scatter: 86.79203588419135 [ Info: Iteration 30: P₀=1.0435970461121888, σ=0.5944653786572759 loss(exp.(logP₀), exp.(logσ)) = 324.7956956456762 Log likelihood: -122.41327757669143 Log det ratio: 318.77824055943194 Scatter: 85.98659557853756 [ Info: Iteration 40: P₀=1.0425991630289515, σ=0.648272850857353 loss(exp.(logP₀), exp.(logσ)) = 324.53255894919516 Log likelihood: -122.14988407071203 Log det ratio: 318.8609741975756 Scatter: 85.90437555939063 [ Info: Iteration 50: P₀=1.0496400257066305, σ=0.6157467881997216 loss(exp.(logP₀), exp.(logσ)) = 324.4497375557651 Log likelihood: -122.06795595407574 Log det ratio: 318.2790596972437 Scatter: 86.48450350613508 [ Info: Iteration 60: P₀=1.0511071962211702, σ=0.6359257942265764 loss(exp.(logP₀), exp.(logσ)) = 324.4231141441167 Log likelihood: -122.04125046353984 Log det ratio: 318.1583371601507 Scatter: 86.60539020100303 [ Info: Iteration 70: P₀=1.0476446609370798, σ=0.6225424095665723 loss(exp.(logP₀), exp.(logσ)) = 324.41050685344237 Log likelihood: -122.02868891198366 Log det ratio: 318.4435393422009 Scatter: 86.32009654071656 [ Info: Iteration 80: P₀=1.0497623083416918, σ=0.6305784517493168 loss(exp.(logP₀), exp.(logσ)) = 324.40426996775693 Log likelihood: -122.02248504237917 Log det ratio: 318.2689909352214 Scatter: 86.49457891553418 [ Info: Iteration 90: P₀=1.0486901812758185, σ=0.6267386655781866 loss(exp.(logP₀), exp.(logσ)) = 324.40194620096906 Log likelihood: -122.0201686025095 Log det ratio: 318.3573135920025 Scatter: 86.40624160491657 [ Info: Iteration 100: P₀=1.0493283717802662, σ=0.6275614471271482 loss(exp.(logP₀), exp.(logσ)) = 324.4016382586111 Log likelihood: -122.01986223209735 Log det ratio: 318.30472709804064 Scatter: 86.45882495498682 ┌ Warning: Warning: no Flux model has been provided in the model. LaplaceRedux will use a standard MLP with 2 hidden layers with 20 neurons each and input and output layers compatible with the dataset. └ @ LaplaceRedux ~/.julia/packages/LaplaceRedux/r6S6U/src/direct_mlj.jl:152 [ Info: testing interface for LaplaceClassifier The number of epochs inserted is lower than the number of epochs already been trained. No update is necessary updating only the laplace optimization part Test Summary: | Pass Total Time LaplaceRedux.jl | 146 146 32m22.8s Testing LaplaceRedux tests passed Testing completed after 1999.62s PkgEval succeeded after 2364.76s