Package evaluation to test StateSpaceModels on Julia 1.14.0-DEV.1674 (5735163b34*) started at 2026-02-03T19:29:42.315 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.79s ################################################################################ # Installation # Installing StateSpaceModels... Resolving package versions... Installed DataStructures ─────────── v0.19.3 Installed Rmath_jll ──────────────── v0.5.1+0 Installed ConstructionBase ───────── v1.6.0 Installed MacroTools ─────────────── v0.5.16 Installed FillArrays ─────────────── v1.16.0 Installed DiffResults ────────────── v1.1.0 Installed Adapt ──────────────────── v4.4.0 Installed ForwardDiff ────────────── v1.3.2 Installed HypergeometricFunctions ── v0.3.28 Installed AliasTables ────────────── v1.1.3 Installed OrderedCollections ─────── v1.8.1 Installed LinearMaps ─────────────── v3.11.4 Installed ArrayInterface ─────────── v7.22.0 Installed StatsBase ──────────────── v0.34.10 Installed ShiftedArrays ──────────── v2.0.0 Installed Optim ──────────────────── v1.13.3 Installed Compat ─────────────────── v4.18.1 Installed DataAPI ────────────────── v1.16.0 Installed PositiveFactorizations ─── v0.2.4 Installed StatsAPI ───────────────── v1.8.0 Installed PrecompileTools ────────── v1.3.3 Installed RecipesBase ────────────── v1.3.4 Installed CommonSubexpressions ───── v0.3.1 Installed Statistics ─────────────── v1.11.1 Installed StaticArraysCore ───────── v1.4.4 Installed NaNMath ────────────────── v1.1.3 Installed IrrationalConstants ────── v0.2.6 Installed QuadGK ─────────────────── v2.11.2 Installed Requires ───────────────── v1.3.1 Installed OpenSpecFun_jll ────────── v0.5.6+0 Installed Rmath ──────────────────── v0.9.0 Installed DiffRules ──────────────── v1.15.1 Installed LogExpFunctions ────────── v0.3.29 Installed FiniteDiff ─────────────── v2.29.0 Installed StateSpaceModels ───────── v0.7.1 Installed PtrArrays ──────────────── v1.3.0 Installed EnumX ──────────────────── v1.0.6 Installed StatsFuns ──────────────── v1.5.2 Installed Reexport ───────────────── v1.2.2 Installed NLSolversBase ──────────── v7.10.0 Installed Distributions ──────────── v0.25.123 Installed Missings ───────────────── v1.2.0 Installed SpecialFunctions ───────── v2.6.1 Installed JLLWrappers ────────────── v1.7.1 Installed Setfield ───────────────── v1.1.2 Installed MatrixEquations ────────── v2.5.6 Installed Preferences ────────────── v1.5.1 Installed Polynomials ────────────── v4.1.0 Installed PDMats ─────────────────── v0.11.37 Installed ADTypes ────────────────── v1.21.0 Installed DocStringExtensions ────── v0.9.5 Installed SeasonalTrendLoess ─────── v0.1.0 Installed LineSearches ───────────── v7.5.1 Installed SortingAlgorithms ──────── v1.2.2 Installed DifferentiationInterface ─ v0.7.16 Installing 2 artifacts Installed artifact OpenSpecFun 194.9 KiB Installed artifact Rmath 121.9 KiB Updating `~/.julia/environments/v1.14/Project.toml` [99342f36] + StateSpaceModels v0.7.1 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.21.0 [79e6a3ab] + Adapt v4.4.0 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.22.0 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.3 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.16 [31c24e10] + Distributions v0.25.123 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.6 [1a297f60] + FillArrays v1.16.0 [6a86dc24] + FiniteDiff v2.29.0 [f6369f11] + ForwardDiff v1.3.2 [34004b35] + HypergeometricFunctions v0.3.28 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.7.1 ⌃ [d3d80556] + LineSearches v7.5.1 [7a12625a] + LinearMaps v3.11.4 [2ab3a3ac] + LogExpFunctions v0.3.29 [1914dd2f] + MacroTools v0.5.16 [99c1a7ee] + MatrixEquations v2.5.6 [e1d29d7a] + Missings v1.2.0 ⌅ [d41bc354] + NLSolversBase v7.10.0 [77ba4419] + NaNMath v1.1.3 ⌅ [429524aa] + Optim v1.13.3 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.37 [f27b6e38] + Polynomials v4.1.0 [85a6dd25] + PositiveFactorizations v0.2.4 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.1 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 [42fb36cb] + SeasonalTrendLoess v0.1.0 [efcf1570] + Setfield v1.1.2 [1277b4bf] + ShiftedArrays v2.0.0 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.6.1 [99342f36] + StateSpaceModels v0.7.1 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.10 [4c63d2b9] + StatsFuns v1.5.2 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [56f22d72] + Artifacts v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [9fa8497b] + Future v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.30+0 [05823500] + OpenLibm_jll v0.8.7+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [8e850b90] + libblastrampoline_jll v5.15.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 12.2s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling packages... 6571.8 ms ✓ TestEnv 1 dependency successfully precompiled in 7 seconds. 27 already precompiled. Precompiling package dependencies... Precompiling packages... 6469.9 ms ✓ MacroTools 2230.5 ms ✓ InlineStrings 1047.2 ms ✓ Reexport 1226.2 ms ✓ PositiveFactorizations 1139.3 ms ✓ DataAPI 1655.5 ms ✓ Statistics 2201.3 ms ✓ ConstructionBase 3613.8 ms ✓ IrrationalConstants 1415.1 ms ✓ DataValueInterfaces 1755.9 ms ✓ StaticArraysCore 1513.6 ms ✓ StatsAPI 2092.5 ms ✓ Requires 4277.5 ms ✓ LinearMaps 2054.1 ms ✓ OrderedCollections 1661.2 ms ✓ InvertedIndices 2599.7 ms ✓ ADTypes 2013.0 ms ✓ DocStringExtensions 1625.7 ms ✓ ShiftedArrays 1715.5 ms ✓ EnumX 1830.7 ms ✓ WorkerUtilities 3447.7 ms ✓ FillArrays 1122.8 ms ✓ PtrArrays 1922.6 ms ✓ TranscodingStreams 971.7 ms ✓ IteratorInterfaceExtensions 1087.4 ms ✓ LaTeXStrings 2421.3 ms ✓ Crayons 2246.2 ms ✓ PDMats 1248.7 ms ✓ NaNMath 2687.8 ms ✓ SentinelArrays 1464.9 ms ✓ Compat 1430.3 ms ✓ Preferences 2201.0 ms ✓ CommonSubexpressions 1210.8 ms ✓ Missings 1260.9 ms ✓ PooledArrays 1275.4 ms ✓ SeasonalTrendLoess 1589.7 ms ✓ Statistics → SparseArraysExt 1010.1 ms ✓ ConstructionBase → ConstructionBaseLinearAlgebraExt 1062.7 ms ✓ DiffResults 1241.2 ms ✓ Adapt 5417.0 ms ✓ MatrixEquations 2036.9 ms ✓ LinearMaps → LinearMapsSparseArraysExt 1019.3 ms ✓ LinearMaps → LinearMapsStatisticsExt 4443.4 ms ✓ DataStructures 2569.2 ms ✓ DifferentiationInterface 992.3 ms ✓ ADTypes → ADTypesConstructionBaseExt 1810.9 ms ✓ LogExpFunctions 1812.0 ms ✓ FillArrays → FillArraysSparseArraysExt 1184.8 ms ✓ FillArrays → FillArraysStatisticsExt 1358.4 ms ✓ AliasTables 1216.2 ms ✓ CodecZlib 986.5 ms ✓ TableTraits 1697.7 ms ✓ FillArrays → FillArraysPDMatsExt 1049.7 ms ✓ Compat → CompatLinearAlgebraExt 1525.5 ms ✓ JLLWrappers 1399.8 ms ✓ PrecompileTools 4671.9 ms ✓ Setfield 1572.5 ms ✓ ArrayInterface 1504.6 ms ✓ Adapt → AdaptSparseArraysExt 1548.0 ms ✓ SortingAlgorithms 3341.5 ms ✓ QuadGK 1865.4 ms ✓ DifferentiationInterface → DifferentiationInterfaceSparseArraysExt 2569.5 ms ✓ Tables 2881.1 ms ✓ FilePathsBase 2284.1 ms ✓ Rmath_jll 1893.7 ms ✓ OpenSpecFun_jll 3770.6 ms ✓ RecipesBase 3994.4 ms ✓ StringManipulation 27718.7 ms ✓ Parsers 1329.2 ms ✓ ArrayInterface → ArrayInterfaceStaticArraysCoreExt 1958.4 ms ✓ ArrayInterface → ArrayInterfaceSparseArraysExt 7275.0 ms ✓ StatsBase 5014.3 ms ✓ FilePathsBase → FilePathsBaseTestExt 1676.4 ms ✓ FilePathsBase → FilePathsBaseMmapExt 2593.1 ms ✓ Rmath 9109.8 ms ✓ SpecialFunctions 81102.1 ms ✓ Polynomials 76431.1 ms ✓ PrettyTables 1735.5 ms ✓ InlineStrings → ParsersExt 2318.1 ms ✓ FiniteDiff 2366.3 ms ✓ PDMats → StatsBaseExt 3793.3 ms ✓ HypergeometricFunctions 2395.4 ms ✓ DiffRules 164363.8 ms ✓ DataFrames 4764.0 ms ✓ WeakRefStrings 2350.6 ms ✓ FiniteDiff → FiniteDiffSparseArraysExt 1721.3 ms ✓ DifferentiationInterface → DifferentiationInterfaceFiniteDiffExt 5370.7 ms ✓ StatsFuns 12448.6 ms ✓ ForwardDiff 54513.3 ms ✓ CSV 15088.8 ms ✓ Distributions 2449.2 ms ✓ DifferentiationInterface → DifferentiationInterfaceForwardDiffExt 6306.8 ms ✓ Distributions → DistributionsTestExt 3273.3 ms ✓ NLSolversBase 4733.1 ms ✓ LineSearches 8397.4 ms ✓ Optim 7868.4 ms ✓ StateSpaceModels 96 dependencies successfully precompiled in 658 seconds. 22 already precompiled. Precompilation completed after 689.45s ################################################################################ # Testing # Testing StateSpaceModels Status `/tmp/jl_3VupZi/Project.toml` [336ed68f] CSV v0.10.15 [a93c6f00] DataFrames v1.8.1 [31c24e10] Distributions v0.25.123 [99c1a7ee] MatrixEquations v2.5.6 ⌅ [429524aa] Optim v1.13.3 [bac558e1] OrderedCollections v1.8.1 [f27b6e38] Polynomials v4.1.0 [3cdcf5f2] RecipesBase v1.3.4 [42fb36cb] SeasonalTrendLoess v0.1.0 [1277b4bf] ShiftedArrays v2.0.0 [99342f36] StateSpaceModels v0.7.1 [10745b16] Statistics v1.11.1 [2913bbd2] StatsBase v0.34.10 [37e2e46d] LinearAlgebra v1.13.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.13.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_3VupZi/Manifest.toml` [47edcb42] ADTypes v1.21.0 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [4fba245c] ArrayInterface v7.22.0 [336ed68f] CSV v0.10.15 [944b1d66] CodecZlib v0.7.8 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [187b0558] ConstructionBase v1.6.0 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.1 [864edb3b] DataStructures v0.19.3 [e2d170a0] DataValueInterfaces v1.0.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.16 [31c24e10] Distributions v0.25.123 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.6 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.16.0 [6a86dc24] FiniteDiff v2.29.0 [f6369f11] ForwardDiff v1.3.2 [34004b35] HypergeometricFunctions v0.3.28 [842dd82b] InlineStrings v1.4.5 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.1 [b964fa9f] LaTeXStrings v1.4.0 ⌃ [d3d80556] LineSearches v7.5.1 [7a12625a] LinearMaps v3.11.4 [2ab3a3ac] LogExpFunctions v0.3.29 [1914dd2f] MacroTools v0.5.16 [99c1a7ee] MatrixEquations v2.5.6 [e1d29d7a] Missings v1.2.0 ⌅ [d41bc354] NLSolversBase v7.10.0 [77ba4419] NaNMath v1.1.3 ⌅ [429524aa] Optim v1.13.3 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.37 [69de0a69] Parsers v2.8.3 [f27b6e38] Polynomials v4.1.0 [2dfb63ee] PooledArrays v1.4.3 [85a6dd25] PositiveFactorizations v0.2.4 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.1 [08abe8d2] PrettyTables v3.1.2 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.9.0 [42fb36cb] SeasonalTrendLoess v0.1.0 [91c51154] SentinelArrays v1.4.9 [efcf1570] Setfield v1.1.2 [1277b4bf] ShiftedArrays v2.0.0 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.6.1 [99342f36] StateSpaceModels v0.7.1 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.10 [4c63d2b9] StatsFuns v1.5.2 [892a3eda] StringManipulation v0.4.2 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [3bb67fe8] TranscodingStreams v0.11.3 [ea10d353] WeakRefStrings v1.4.2 [76eceee3] WorkerUtilities v1.6.1 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [4536629a] OpenBLAS_jll v0.3.30+0 [05823500] OpenLibm_jll v0.8.7+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.15.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... Test Summary: | Pass Total Time Linear systems | 10 10 15.4s LocalLevel Results =============================================================== Model: LocalLevel Number of observations: 100 Number of unknown parameters: 2 Log-likelihood: -26.6793 AIC: 57.3585 AICc: 57.4822 BIC: 62.5689 --------------------------------------------------------------- Parameter Estimate Std.Error z stat p-value sigma2_ε 0.0958 0.0221 4.3336 0.0000 sigma2_η 0.0000 0.0158 0.0000 1.0000 SARIMA(1, 0, 0)x(0, 0, 0, 0) with zero mean Test Summary: | Total Time Prints | 0 33.5s Test Summary: | Pass Total Time LocalLevel | 142 142 1m24.9s Test Summary: | Pass Total Time Local Linear Trend Model | 4 4 14.1s ┌ Warning: The optimization process converged but the Hessian matrix is not positive definite. This means that StateSpaceModels.jl cannot estimate the distribution of the hyperparameters If you are interested in estimates of the distribution of ther hyperparameters we advise you to change the optimization algorithm by using the kwarg fit(...; optimizer = Optimizer(StateSpaceModels.Optim.THE_METHOD_OF_YOUR_CHOICE())) The list of possible algorithms can be found on this link https://julianlsolvers.github.io/Optim.jl/stable/# otherwise you can simply skip this proccess by using fit(...; save_hyperparameter_distribution=false) └ @ StateSpaceModels ~/.julia/packages/StateSpaceModels/4SC2E/src/fit.jl:57 Test Summary: | Pass Total Time Local Level With Cycle Model | 7 7 4.9s ┌ Warning: The optimization process converged but the Hessian matrix is not positive definite. This means that StateSpaceModels.jl cannot estimate the distribution of the hyperparameters If you are interested in estimates of the distribution of ther hyperparameters we advise you to change the optimization algorithm by using the kwarg fit(...; optimizer = Optimizer(StateSpaceModels.Optim.THE_METHOD_OF_YOUR_CHOICE())) The list of possible algorithms can be found on this link https://julianlsolvers.github.io/Optim.jl/stable/# otherwise you can simply skip this proccess by using fit(...; save_hyperparameter_distribution=false) └ @ StateSpaceModels ~/.julia/packages/StateSpaceModels/4SC2E/src/fit.jl:57 Test Summary: | Pass Total Time Local Level With Explanatory Model | 2 2 7.2s Test Summary: | Pass Total Time Basic Structural Model | 25 25 16.7s ┌ Warning: The optimization process converged but the Hessian matrix is not positive definite. This means that StateSpaceModels.jl cannot estimate the distribution of the hyperparameters If you are interested in estimates of the distribution of ther hyperparameters we advise you to change the optimization algorithm by using the kwarg fit(...; optimizer = Optimizer(StateSpaceModels.Optim.THE_METHOD_OF_YOUR_CHOICE())) The list of possible algorithms can be found on this link https://julianlsolvers.github.io/Optim.jl/stable/# otherwise you can simply skip this proccess by using fit(...; save_hyperparameter_distribution=false) └ @ StateSpaceModels ~/.julia/packages/StateSpaceModels/4SC2E/src/fit.jl:57 ┌ Warning: The optimization process converged but the Hessian matrix is not positive definite. This means that StateSpaceModels.jl cannot estimate the distribution of the hyperparameters If you are interested in estimates of the distribution of ther hyperparameters we advise you to change the optimization algorithm by using the kwarg fit(...; optimizer = Optimizer(StateSpaceModels.Optim.THE_METHOD_OF_YOUR_CHOICE())) The list of possible algorithms can be found on this link https://julianlsolvers.github.io/Optim.jl/stable/# otherwise you can simply skip this proccess by using fit(...; save_hyperparameter_distribution=false) └ @ StateSpaceModels ~/.julia/packages/StateSpaceModels/4SC2E/src/fit.jl:57 forec = forecast(model, ones(10, 2)) = StateSpaceModels.Forecast{Float64}([[6.074603990872448], [6.108957550986132], [6.11581902173328], [6.139580332225014], [6.143463776641276], [6.127542064913756], [6.121072245848277], [6.131986281299225], [6.135706983735872], [6.161930481423012]], [[0.01284492738343094;;], [0.012844927319166161;;], [0.025689854760130283;;], [0.03853478224265534;;], [0.05137970971557432;;], [0.06422463712774067;;], [0.07706956458637247;;], [0.08991449203813907;;], [0.10270233084350175;;], [0.11549016943261727;;]]) Test Summary: | Pass Total Time Basic Structural With Explanatory Model | 23 23 12.6s Test Summary: | Pass Total Time Multivariate Basic Structural Model | 11 11 41.6s ┌ Warning: The optimization process converged but the Hessian matrix is not positive definite. This means that StateSpaceModels.jl cannot estimate the distribution of the hyperparameters If you are interested in estimates of the distribution of ther hyperparameters we advise you to change the optimization algorithm by using the kwarg fit(...; optimizer = Optimizer(StateSpaceModels.Optim.THE_METHOD_OF_YOUR_CHOICE())) The list of possible algorithms can be found on this link https://julianlsolvers.github.io/Optim.jl/stable/# otherwise you can simply skip this proccess by using fit(...; save_hyperparameter_distribution=false) └ @ StateSpaceModels ~/.julia/packages/StateSpaceModels/4SC2E/src/fit.jl:57 Model specification Selection metric SARIMA(2, 1, 2)x(0, 0, 0, 0) with non-zero mean : 1273.7594422205775 SARIMA(1, 1, 0)x(0, 0, 0, 0) with non-zero mean : 1283.7664413377438 SARIMA(0, 1, 1)x(0, 0, 0, 0) with non-zero mean : 1271.3254393136049 SARIMA(0, 1, 0)x(0, 0, 0, 0) with non-zero mean : 1298.82084537551 Search iteration complete: Current best is SARIMA(0, 1, 1)x(0, 0, 0, 0) with non-zero mean SARIMA(0, 1, 1)x(0, 0, 0, 0) with non-zero mean : 1271.3254393136049 SARIMA(0, 1, 2)x(0, 0, 0, 0) with non-zero mean : 1270.340103163738 SARIMA(1, 1, 1)x(0, 0, 0, 0) with non-zero mean : 1269.6406822029037 SARIMA(1, 1, 2)x(0, 0, 0, 0) with non-zero mean : 1271.5243197020518 SARIMA(0, 1, 1)x(0, 0, 0, 0) with zero mean : 1269.1991228342 Search iteration complete: Current best is SARIMA(0, 1, 1)x(0, 0, 0, 0) with zero mean SARIMA(0, 1, 1)x(0, 0, 0, 0) with zero mean : 1269.1991228342 SARIMA(0, 1, 0)x(0, 0, 0, 0) with zero mean : 1296.7379503618345 SARIMA(0, 1, 2)x(0, 0, 0, 0) with zero mean : 1268.1691182508343 SARIMA(1, 1, 0)x(0, 0, 0, 0) with zero mean : 1281.639997648152 SARIMA(1, 1, 1)x(0, 0, 0, 0) with zero mean : 1267.4696939431424 SARIMA(1, 1, 2)x(0, 0, 0, 0) with zero mean : 1269.3071444814505 Search iteration complete: Current best is SARIMA(1, 1, 1)x(0, 0, 0, 0) with zero mean SARIMA(1, 1, 1)x(0, 0, 0, 0) with zero mean : 1267.4696939431424 SARIMA(2, 1, 0)x(0, 0, 0, 0) with zero mean : 1277.6748597747246 SARIMA(2, 1, 1)x(0, 0, 0, 0) with zero mean : 1269.285806643855 SARIMA(2, 1, 2)x(0, 0, 0, 0) with zero mean : 1271.4945734820235 Search iteration complete: Current best is SARIMA(1, 1, 1)x(0, 0, 0, 0) with zero mean Model specification Selection metric SARIMA(2, 0, 2)x(1, 1, 1, 12) with non-zero mean : -474.12726331755965 SARIMA(1, 0, 0)x(1, 1, 0, 12) with non-zero mean : 2.88e22 SARIMA(0, 0, 1)x(0, 1, 1, 12) with non-zero mean : -276.01001197590995 SARIMA(0, 0, 0)x(0, 1, 0, 12) with non-zero mean : -150.6710081764367 Search iteration complete: Current best is SARIMA(2, 0, 2)x(1, 1, 1, 12) with non-zero mean SARIMA(2, 0, 2)x(1, 1, 1, 12) with non-zero mean : -474.12726331755965 SARIMA(1, 0, 1)x(1, 1, 1, 12) with non-zero mean : 2.88e22 SARIMA(1, 0, 2)x(1, 1, 1, 12) with non-zero mean : 2.88e22 SARIMA(1, 0, 3)x(1, 1, 1, 12) with non-zero mean : 2.88e22 SARIMA(2, 0, 1)x(1, 1, 1, 12) with non-zero mean : -476.77937804757784 SARIMA(2, 0, 3)x(1, 1, 1, 12) with non-zero mean : 2.88e22 SARIMA(3, 0, 1)x(1, 1, 1, 12) with non-zero mean : 2.88e22 SARIMA(3, 0, 2)x(1, 1, 1, 12) with non-zero mean : -465.5000178887042 SARIMA(2, 0, 2)x(0, 1, 0, 12) with non-zero mean : -441.77865134755933 SARIMA(2, 0, 2)x(0, 1, 1, 12) with non-zero mean : -476.95608800573547 SARIMA(2, 0, 2)x(0, 1, 2, 12) with non-zero mean : -475.48869510445365 SARIMA(2, 0, 2)x(1, 1, 0, 12) with non-zero mean : -443.52357931424893 SARIMA(2, 0, 2)x(1, 1, 2, 12) with non-zero mean : -440.61717490742154 SARIMA(2, 0, 2)x(2, 1, 0, 12) with non-zero mean : -443.2223794439713 SARIMA(2, 0, 2)x(2, 1, 1, 12) with non-zero mean : -475.3563943591922 SARIMA(2, 0, 2)x(2, 1, 2, 12) with non-zero mean : -471.1011169259794 SARIMA(2, 0, 2)x(1, 1, 1, 12) with zero mean : -455.88464303447364 Search iteration complete: Current best is SARIMA(2, 0, 2)x(0, 1, 1, 12) with non-zero mean SARIMA(2, 0, 2)x(0, 1, 1, 12) with non-zero mean : -476.95608800573547 SARIMA(1, 0, 1)x(0, 1, 1, 12) with non-zero mean : -480.67332946634735 SARIMA(1, 0, 2)x(0, 1, 1, 12) with non-zero mean : -478.6768198795168 SARIMA(1, 0, 3)x(0, 1, 1, 12) with non-zero mean : -479.43004900646343 SARIMA(2, 0, 1)x(0, 1, 1, 12) with non-zero mean : -465.9138310842907 SARIMA(2, 0, 3)x(0, 1, 1, 12) with non-zero mean : -474.9088985924298 SARIMA(3, 0, 1)x(0, 1, 1, 12) with non-zero mean : -474.9452581423249 SARIMA(3, 0, 2)x(0, 1, 1, 12) with non-zero mean : -476.1051834029806 SARIMA(2, 0, 2)x(0, 1, 1, 12) with zero mean : -479.16630294903155 Search iteration complete: Current best is SARIMA(1, 0, 1)x(0, 1, 1, 12) with non-zero mean SARIMA(1, 0, 1)x(0, 1, 1, 12) with non-zero mean : -480.67332946634735 SARIMA(0, 0, 0)x(0, 1, 1, 12) with non-zero mean : -195.25435443204438 SARIMA(0, 0, 2)x(0, 1, 1, 12) with non-zero mean : -342.1480313198992 SARIMA(1, 0, 0)x(0, 1, 1, 12) with non-zero mean : -465.2646535507015 SARIMA(2, 0, 0)x(0, 1, 1, 12) with non-zero mean : -453.4270786650528 SARIMA(1, 0, 1)x(0, 1, 0, 12) with non-zero mean : -449.2867420993561 SARIMA(1, 0, 1)x(0, 1, 2, 12) with non-zero mean : -479.05767312525154 SARIMA(1, 0, 1)x(1, 1, 0, 12) with non-zero mean : 2.88e22 SARIMA(1, 0, 1)x(1, 1, 2, 12) with non-zero mean : 2.88e22 SARIMA(1, 0, 1)x(0, 1, 1, 12) with zero mean : -482.82034250365615 Search iteration complete: Current best is SARIMA(1, 0, 1)x(0, 1, 1, 12) with zero mean SARIMA(1, 0, 1)x(0, 1, 1, 12) with zero mean : -482.82034250365615 SARIMA(0, 0, 0)x(0, 1, 1, 12) with zero mean : -197.3406766444824 SARIMA(0, 0, 1)x(0, 1, 1, 12) with zero mean : -278.12635321284915 SARIMA(0, 0, 2)x(0, 1, 1, 12) with zero mean : -344.29504416679123 SARIMA(1, 0, 0)x(0, 1, 1, 12) with zero mean : -467.3809949482496 SARIMA(1, 0, 2)x(0, 1, 1, 12) with zero mean : -480.85517617439046 SARIMA(2, 0, 0)x(0, 1, 1, 12) with zero mean : -455.5740915319151 SARIMA(2, 0, 1)x(0, 1, 1, 12) with zero mean : -481.0910141922354 SARIMA(1, 0, 1)x(0, 1, 0, 12) with zero mean : -451.40308340217643 SARIMA(1, 0, 1)x(0, 1, 2, 12) with zero mean : -481.2360294703554 SARIMA(1, 0, 1)x(1, 1, 0, 12) with zero mean : 2.88e22 SARIMA(1, 0, 1)x(1, 1, 1, 12) with zero mean : 2.88e22 SARIMA(1, 0, 1)x(1, 1, 2, 12) with zero mean : 2.88e22 Search iteration complete: Current best is SARIMA(1, 0, 1)x(0, 1, 1, 12) with zero mean Test Summary: | Pass Broken Total Time SARIMA | 44 2 46 7m23.4s ┌ Warning: The optimization process converged but the Hessian matrix is not positive definite. This means that StateSpaceModels.jl cannot estimate the distribution of the hyperparameters If you are interested in estimates of the distribution of ther hyperparameters we advise you to change the optimization algorithm by using the kwarg fit(...; optimizer = Optimizer(StateSpaceModels.Optim.THE_METHOD_OF_YOUR_CHOICE())) The list of possible algorithms can be found on this link https://julianlsolvers.github.io/Optim.jl/stable/# otherwise you can simply skip this proccess by using fit(...; save_hyperparameter_distribution=false) └ @ StateSpaceModels ~/.julia/packages/StateSpaceModels/4SC2E/src/fit.jl:57 Test Summary: | Pass Total Time UnobservedComponents | 13 13 8.9s ┌ Warning: The optimization process converged but the Hessian matrix is not positive definite. This means that StateSpaceModels.jl cannot estimate the distribution of the hyperparameters If you are interested in estimates of the distribution of ther hyperparameters we advise you to change the optimization algorithm by using the kwarg fit(...; optimizer = Optimizer(StateSpaceModels.Optim.THE_METHOD_OF_YOUR_CHOICE())) The list of possible algorithms can be found on this link https://julianlsolvers.github.io/Optim.jl/stable/# otherwise you can simply skip this proccess by using fit(...; save_hyperparameter_distribution=false) └ @ StateSpaceModels ~/.julia/packages/StateSpaceModels/4SC2E/src/fit.jl:57 ┌ Warning: The optimization process converged but the Hessian matrix is not positive definite. This means that StateSpaceModels.jl cannot estimate the distribution of the hyperparameters If you are interested in estimates of the distribution of ther hyperparameters we advise you to change the optimization algorithm by using the kwarg fit(...; optimizer = Optimizer(StateSpaceModels.Optim.THE_METHOD_OF_YOUR_CHOICE())) The list of possible algorithms can be found on this link https://julianlsolvers.github.io/Optim.jl/stable/# otherwise you can simply skip this proccess by using fit(...; save_hyperparameter_distribution=false) └ @ StateSpaceModels ~/.julia/packages/StateSpaceModels/4SC2E/src/fit.jl:57 ┌ Warning: The optimization process converged but the Hessian matrix is not positive definite. This means that StateSpaceModels.jl cannot estimate the distribution of the hyperparameters If you are interested in estimates of the distribution of ther hyperparameters we advise you to change the optimization algorithm by using the kwarg fit(...; optimizer = Optimizer(StateSpaceModels.Optim.THE_METHOD_OF_YOUR_CHOICE())) The list of possible algorithms can be found on this link https://julianlsolvers.github.io/Optim.jl/stable/# otherwise you can simply skip this proccess by using fit(...; save_hyperparameter_distribution=false) └ @ StateSpaceModels ~/.julia/packages/StateSpaceModels/4SC2E/src/fit.jl:57 Test Summary: | Pass Total Time UnobservedComponentsExplanatory | 29 29 11.2s Test Summary: | Pass Total Time Regression | 51 51 5.0s ┌ Warning: The optimization process converged but the Hessian matrix is not positive definite. This means that StateSpaceModels.jl cannot estimate the distribution of the hyperparameters If you are interested in estimates of the distribution of ther hyperparameters we advise you to change the optimization algorithm by using the kwarg fit(...; optimizer = Optimizer(StateSpaceModels.Optim.THE_METHOD_OF_YOUR_CHOICE())) The list of possible algorithms can be found on this link https://julianlsolvers.github.io/Optim.jl/stable/# otherwise you can simply skip this proccess by using fit(...; save_hyperparameter_distribution=false) └ @ StateSpaceModels ~/.julia/packages/StateSpaceModels/4SC2E/src/fit.jl:57 ┌ Warning: The optimization process converged but the Hessian matrix is not positive definite. This means that StateSpaceModels.jl cannot estimate the distribution of the hyperparameters If you are interested in estimates of the distribution of ther hyperparameters we advise you to change the optimization algorithm by using the kwarg fit(...; optimizer = Optimizer(StateSpaceModels.Optim.THE_METHOD_OF_YOUR_CHOICE())) The list of possible algorithms can be found on this link https://julianlsolvers.github.io/Optim.jl/stable/# otherwise you can simply skip this proccess by using fit(...; save_hyperparameter_distribution=false) └ @ StateSpaceModels ~/.julia/packages/StateSpaceModels/4SC2E/src/fit.jl:57 ┌ Warning: The optimization process converged but the Hessian matrix is not positive definite. This means that StateSpaceModels.jl cannot estimate the distribution of the hyperparameters If you are interested in estimates of the distribution of ther hyperparameters we advise you to change the optimization algorithm by using the kwarg fit(...; optimizer = Optimizer(StateSpaceModels.Optim.THE_METHOD_OF_YOUR_CHOICE())) The list of possible algorithms can be found on this link https://julianlsolvers.github.io/Optim.jl/stable/# otherwise you can simply skip this proccess by using fit(...; save_hyperparameter_distribution=false) └ @ StateSpaceModels ~/.julia/packages/StateSpaceModels/4SC2E/src/fit.jl:57 ┌ Warning: The optimization process converged but the Hessian matrix is not positive definite. This means that StateSpaceModels.jl cannot estimate the distribution of the hyperparameters If you are interested in estimates of the distribution of ther hyperparameters we advise you to change the optimization algorithm by using the kwarg fit(...; optimizer = Optimizer(StateSpaceModels.Optim.THE_METHOD_OF_YOUR_CHOICE())) The list of possible algorithms can be found on this link https://julianlsolvers.github.io/Optim.jl/stable/# otherwise you can simply skip this proccess by using fit(...; save_hyperparameter_distribution=false) └ @ StateSpaceModels ~/.julia/packages/StateSpaceModels/4SC2E/src/fit.jl:57 ┌ Warning: The optimization process converged but the Hessian matrix is not positive definite. This means that StateSpaceModels.jl cannot estimate the distribution of the hyperparameters If you are interested in estimates of the distribution of ther hyperparameters we advise you to change the optimization algorithm by using the kwarg fit(...; optimizer = Optimizer(StateSpaceModels.Optim.THE_METHOD_OF_YOUR_CHOICE())) The list of possible algorithms can be found on this link https://julianlsolvers.github.io/Optim.jl/stable/# otherwise you can simply skip this proccess by using fit(...; save_hyperparameter_distribution=false) └ @ StateSpaceModels ~/.julia/packages/StateSpaceModels/4SC2E/src/fit.jl:57 ┌ Warning: The optimization process converged but the Hessian matrix is not positive definite. This means that StateSpaceModels.jl cannot estimate the distribution of the hyperparameters If you are interested in estimates of the distribution of ther hyperparameters we advise you to change the optimization algorithm by using the kwarg fit(...; optimizer = Optimizer(StateSpaceModels.Optim.THE_METHOD_OF_YOUR_CHOICE())) The list of possible algorithms can be found on this link https://julianlsolvers.github.io/Optim.jl/stable/# otherwise you can simply skip this proccess by using fit(...; save_hyperparameter_distribution=false) └ @ StateSpaceModels ~/.julia/packages/StateSpaceModels/4SC2E/src/fit.jl:57 Test Summary: | Pass Total Time ExponentialSmoothing | 14 14 10.7s CrossValidation: step 1 of 20 CrossValidation: step 2 of 20 CrossValidation: step 3 of 20 CrossValidation: step 4 of 20 CrossValidation: step 5 of 20 CrossValidation: step 6 of 20 CrossValidation: step 7 of 20 CrossValidation: step 8 of 20 CrossValidation: step 9 of 20 CrossValidation: step 10 of 20 CrossValidation: step 11 of 20 CrossValidation: step 12 of 20 CrossValidation: step 13 of 20 CrossValidation: step 14 of 20 CrossValidation: step 15 of 20 CrossValidation: step 16 of 20 CrossValidation: step 17 of 20 CrossValidation: step 18 of 20 CrossValidation: step 19 of 20 CrossValidation: step 20 of 20 Test Summary: | Pass Total Time Naive models | 13 13 3.9s Test Summary: | Pass Total Time DAR Model | 4 4 12.2s Test Summary: | Pass Total Time Vehicle tracking | 1 1 1.1s Test Summary: | Pass Total Time Visualization Forecast | 4 4 2.2s ┌ Warning: The optimization process converged but the Hessian matrix is not positive definite. This means that StateSpaceModels.jl cannot estimate the distribution of the hyperparameters If you are interested in estimates of the distribution of ther hyperparameters we advise you to change the optimization algorithm by using the kwarg fit(...; optimizer = Optimizer(StateSpaceModels.Optim.THE_METHOD_OF_YOUR_CHOICE())) The list of possible algorithms can be found on this link https://julianlsolvers.github.io/Optim.jl/stable/# otherwise you can simply skip this proccess by using fit(...; save_hyperparameter_distribution=false) └ @ StateSpaceModels ~/.julia/packages/StateSpaceModels/4SC2E/src/fit.jl:57 Test Summary: | Pass Total Time Visualization Unobserved Components | 8 8 6.3s CrossValidation: step 1 of 10 CrossValidation: step 2 of 10 CrossValidation: step 3 of 10 CrossValidation: step 4 of 10 CrossValidation: step 5 of 10 CrossValidation: step 6 of 10 CrossValidation: step 7 of 10 CrossValidation: step 8 of 10 CrossValidation: step 9 of 10 CrossValidation: step 10 of 10 Test Summary: | Pass Total Time Visualization Forecast | 1 1 10.3s Test Summary: | Pass Total Time Visualization Diagnostics | 4 4 0.6s Testing StateSpaceModels tests passed Testing completed after 798.61s PkgEval succeeded after 1538.13s