Package evaluation of MLJLinearModels on Julia 1.12.0-rc1.2 (995ff9db19*) started at 2025-07-14T19:25:34.088 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.21s ################################################################################ # Installation # Installing MLJLinearModels... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [6ee0df7b] + MLJLinearModels v0.10.1 Updating `~/.julia/environments/v1.12/Manifest.toml` [47edcb42] + ADTypes v1.15.0 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.19.0 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.17.0 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.22 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.2 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.5 [1a297f60] + FillArrays v1.13.0 [6a86dc24] + FiniteDiff v2.27.0 [f6369f11] + ForwardDiff v1.0.1 [92d709cd] + IrrationalConstants v0.2.4 [42fd0dbc] + IterativeSolvers v0.9.4 [692b3bcd] + JLLWrappers v1.7.0 [d3d80556] + LineSearches v7.4.0 [7a12625a] + LinearMaps v3.11.4 [2ab3a3ac] + LogExpFunctions v0.3.29 [6ee0df7b] + MLJLinearModels v0.10.1 [e80e1ace] + MLJModelInterface v1.11.1 [1914dd2f] + MacroTools v0.5.16 [e1d29d7a] + Missings v1.2.0 [d41bc354] + NLSolversBase v7.10.0 [77ba4419] + NaNMath v1.1.3 [429524aa] + Optim v1.13.2 [bac558e1] + OrderedCollections v1.8.1 [d96e819e] + Parameters v0.12.3 [85a6dd25] + PositiveFactorizations v0.2.4 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [43287f4e] + PtrArrays v1.3.0 [3cdcf5f2] + RecipesBase v1.3.4 [ae029012] + Requires v1.3.1 [30f210dd] + ScientificTypesBase v3.0.0 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.1 [276daf66] + SpecialFunctions v2.5.1 [1e83bf80] + StaticArraysCore v1.4.3 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.5 [3a884ed6] + UnPack v1.0.2 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [d6f4376e] + Markdown v1.11.0 [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 [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 v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [bea87d4a] + SuiteSparse_jll v7.8.3+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 Installation completed after 4.24s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/iS95e/src/julia-1.11/activate_set.jl:75 Precompiling package dependencies... Precompilation completed after 143.13s ################################################################################ # Testing # Testing MLJLinearModels Test Could not use exact versions of packages in manifest, re-resolving. Note: if you do not check your manifest file into source control, then you can probably ignore this message. However, if you do check your manifest file into source control, then you probably want to pass the `allow_reresolve = false` kwarg when calling the `Pkg.test` function. Updating `/tmp/jl_iC5tjT/Project.toml` [336ed68f] + CSV v0.10.15 [a93c6f00] + DataFrames v1.7.0 [8bb1440f] + DelimitedFiles v1.9.1 ⌅ [f6369f11] ↓ ForwardDiff v1.0.1 ⇒ v0.10.38 ⌅ [add582a8] + MLJ v0.19.5 ⌅ [a7f614a8] + MLJBase v0.21.14 [6ee0df7b] + MLJLinearModels v0.10.1 [438e738f] + PyCall v1.96.4 ⌅ [6f49c342] + RCall v0.13.18 [ce6b1742] + RDatasets v0.7.7 [860ef19b] + StableRNGs v1.0.3 [f43a241f] ~ Downloads ⇒ v1.6.0 [8dfed614] ~ Test ⇒ v1.11.0 Updating `/tmp/jl_iC5tjT/Manifest.toml` [da404889] + ARFFFiles v1.5.0 [d1d4a3ce] + BitFlags v0.1.9 [336ed68f] + CSV v0.10.15 [324d7699] + CategoricalArrays v0.10.8 [af321ab8] + CategoricalDistributions v0.1.15 [944b1d66] + CodecZlib v0.7.8 [3da002f7] + ColorTypes v0.12.1 [861a8166] + Combinatorics v1.0.3 [ed09eef8] + ComputationalResources v0.3.2 [f0e56b4a] + ConcurrentUtilities v2.5.0 [8f4d0f93] + Conda v1.10.2 [a8cc5b0e] + Crayons v4.1.1 [a93c6f00] + DataFrames v1.7.0 [e2d170a0] + DataValueInterfaces v1.0.0 [8bb1440f] + DelimitedFiles v1.9.1 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.120 [792122b4] + EarlyStopping v0.3.0 [460bff9d] + ExceptionUnwrapping v0.1.11 [e2ba6199] + ExprTools v0.1.10 [5789e2e9] + FileIO v1.17.0 [48062228] + FilePathsBase v0.9.24 [53c48c17] + FixedPointNumbers v0.8.5 ⌅ [f6369f11] ↓ ForwardDiff v1.0.1 ⇒ v0.10.38 [cd3eb016] + HTTP v1.10.17 [34004b35] + HypergeometricFunctions v0.3.28 [842dd82b] + InlineStrings v1.4.4 [41ab1584] + InvertedIndices v1.3.1 [b3c1a2ee] + IterationControl v0.5.4 [42fd0dbc] + IterativeSolvers v0.9.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [682c06a0] + JSON v0.21.4 [b964fa9f] + LaTeXStrings v1.4.0 [a5e1c1ea] + LatinHypercubeSampling v1.9.0 [7a12625a] + LinearMaps v3.11.4 [e6f89c97] + LoggingExtras v1.1.0 ⌅ [30fc2ffe] + LossFunctions v0.11.2 ⌅ [64a0f543] + MLFlowClient v0.4.7 ⌅ [add582a8] + MLJ v0.19.5 ⌅ [a7f614a8] + MLJBase v0.21.14 ⌅ [50ed68f4] + MLJEnsembles v0.3.3 ⌅ [7b7b8358] + MLJFlow v0.1.1 ⌅ [614be32b] + MLJIteration v0.5.1 [6ee0df7b] + MLJLinearModels v0.10.1 [e80e1ace] + MLJModelInterface v1.11.1 ⌅ [d491faf4] + MLJModels v0.16.17 ⌅ [03970b2e] + MLJTuning v0.7.4 [739be429] + MbedTLS v1.1.9 [78c3b35d] + Mocking v0.8.1 [8b6db2d4] + OpenML v0.3.2 [4d8831e6] + OpenSSL v1.5.0 [90014a1f] + PDMats v0.11.35 [69de0a69] + Parsers v2.8.3 [2dfb63ee] + PooledArrays v1.4.3 [aea7be01] + PrecompileTools v1.3.2 [54e16d92] + PrettyPrinting v0.4.2 [08abe8d2] + PrettyTables v2.4.0 [92933f4c] + ProgressMeter v1.10.4 [438e738f] + PyCall v1.96.4 [1fd47b50] + QuadGK v2.11.2 ⌅ [6f49c342] + RCall v0.13.18 ⌅ [df47a6cb] + RData v0.8.3 [ce6b1742] + RDatasets v0.7.7 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [05181044] + RelocatableFolders v1.0.1 [79098fc4] + Rmath v0.8.0 [321657f4] + ScientificTypes v3.1.0 [30f210dd] + ScientificTypesBase v3.0.0 [6c6a2e73] + Scratch v1.3.0 [91c51154] + SentinelArrays v1.4.8 [1277b4bf] + ShiftedArrays v2.0.0 [605ecd9f] + ShowCases v0.1.0 [777ac1f9] + SimpleBufferStream v1.2.0 [860ef19b] + StableRNGs v1.0.3 [64bff920] + StatisticalTraits v3.5.0 [4c63d2b9] + StatsFuns v1.5.0 [3eaba693] + StatsModels v0.7.4 [892a3eda] + StringManipulation v0.4.1 [dc5dba14] + TZJData v1.5.0+2025b [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [f269a46b] + TimeZones v1.21.3 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [81def892] + VersionParsing v1.3.0 [ea10d353] + WeakRefStrings v1.4.2 [1b915085] + WinReg v1.0.0 [76eceee3] + WorkerUtilities v1.6.1 [c8ffd9c3] + MbedTLS_jll v2.28.6+2 [f50d1b31] + Rmath_jll v0.5.1+0 [0dad84c5] + ArgTools v1.1.2 [f43a241f] ~ Downloads ⇒ v1.6.0 [7b1f6079] + FileWatching v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [56ddb016] + Logging v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [3fa0cd96] + REPL v1.11.0 [4607b0f0] + SuiteSparse [a4e569a6] + Tar v1.10.0 [8dfed614] ~ Test ⇒ v1.11.0 [deac9b47] + LibCURL_jll v8.11.1+1 [e37daf67] + LibGit2_jll v1.9.0+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.5.20 [458c3c95] + OpenSSL_jll v3.5.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850ede] + nghttp2_jll v1.64.0+1 [3f19e933] + p7zip_jll v17.5.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Test Successfully re-resolved Status `/tmp/jl_iC5tjT/Project.toml` [336ed68f] CSV v0.10.15 [a93c6f00] DataFrames v1.7.0 [8bb1440f] DelimitedFiles v1.9.1 ⌅ [f6369f11] ForwardDiff v0.10.38 ⌅ [add582a8] MLJ v0.19.5 ⌅ [a7f614a8] MLJBase v0.21.14 [6ee0df7b] MLJLinearModels v0.10.1 [429524aa] Optim v1.13.2 [438e738f] PyCall v1.96.4 ⌅ [6f49c342] RCall v0.13.18 [ce6b1742] RDatasets v0.7.7 [860ef19b] StableRNGs v1.0.3 [f43a241f] Downloads v1.6.0 [37e2e46d] LinearAlgebra v1.12.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_iC5tjT/Manifest.toml` [47edcb42] ADTypes v1.15.0 [da404889] ARFFFiles v1.5.0 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [4fba245c] ArrayInterface v7.19.0 [d1d4a3ce] BitFlags v0.1.9 [336ed68f] CSV v0.10.15 [324d7699] CategoricalArrays v0.10.8 [af321ab8] CategoricalDistributions v0.1.15 [944b1d66] CodecZlib v0.7.8 [3da002f7] ColorTypes v0.12.1 [861a8166] Combinatorics v1.0.3 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.17.0 [ed09eef8] ComputationalResources v0.3.2 [f0e56b4a] ConcurrentUtilities v2.5.0 [8f4d0f93] Conda v1.10.2 [187b0558] ConstructionBase v1.6.0 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.7.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.2 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.120 [ffbed154] DocStringExtensions v0.9.5 [792122b4] EarlyStopping v0.3.0 [4e289a0a] EnumX v1.0.5 [460bff9d] ExceptionUnwrapping v0.1.11 [e2ba6199] ExprTools v0.1.10 [5789e2e9] FileIO v1.17.0 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.13.0 [6a86dc24] FiniteDiff v2.27.0 [53c48c17] FixedPointNumbers v0.8.5 ⌅ [f6369f11] ForwardDiff v0.10.38 [cd3eb016] HTTP v1.10.17 [34004b35] HypergeometricFunctions v0.3.28 [842dd82b] InlineStrings v1.4.4 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [b3c1a2ee] IterationControl v0.5.4 [42fd0dbc] IterativeSolvers v0.9.4 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.0 [682c06a0] JSON v0.21.4 [b964fa9f] LaTeXStrings v1.4.0 [a5e1c1ea] LatinHypercubeSampling v1.9.0 [d3d80556] LineSearches v7.4.0 [7a12625a] LinearMaps v3.11.4 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.1.0 ⌅ [30fc2ffe] LossFunctions v0.11.2 ⌅ [64a0f543] MLFlowClient v0.4.7 ⌅ [add582a8] MLJ v0.19.5 ⌅ [a7f614a8] MLJBase v0.21.14 ⌅ [50ed68f4] MLJEnsembles v0.3.3 ⌅ [7b7b8358] MLJFlow v0.1.1 ⌅ [614be32b] MLJIteration v0.5.1 [6ee0df7b] MLJLinearModels v0.10.1 [e80e1ace] MLJModelInterface v1.11.1 ⌅ [d491faf4] MLJModels v0.16.17 ⌅ [03970b2e] MLJTuning v0.7.4 [1914dd2f] MacroTools v0.5.16 [739be429] MbedTLS v1.1.9 [e1d29d7a] Missings v1.2.0 [78c3b35d] Mocking v0.8.1 [d41bc354] NLSolversBase v7.10.0 [77ba4419] NaNMath v1.1.3 [8b6db2d4] OpenML v0.3.2 [4d8831e6] OpenSSL v1.5.0 [429524aa] Optim v1.13.2 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.35 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [2dfb63ee] PooledArrays v1.4.3 [85a6dd25] PositiveFactorizations v0.2.4 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.4.3 [54e16d92] PrettyPrinting v0.4.2 [08abe8d2] PrettyTables v2.4.0 [92933f4c] ProgressMeter v1.10.4 [43287f4e] PtrArrays v1.3.0 [438e738f] PyCall v1.96.4 [1fd47b50] QuadGK v2.11.2 ⌅ [6f49c342] RCall v0.13.18 ⌅ [df47a6cb] RData v0.8.3 [ce6b1742] RDatasets v0.7.7 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [05181044] RelocatableFolders v1.0.1 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.8.0 [321657f4] ScientificTypes v3.1.0 [30f210dd] ScientificTypesBase v3.0.0 [6c6a2e73] Scratch v1.3.0 [91c51154] SentinelArrays v1.4.8 [efcf1570] Setfield v1.1.2 [1277b4bf] ShiftedArrays v2.0.0 [605ecd9f] ShowCases v0.1.0 [777ac1f9] SimpleBufferStream v1.2.0 [a2af1166] SortingAlgorithms v1.2.1 [276daf66] SpecialFunctions v2.5.1 [860ef19b] StableRNGs v1.0.3 [1e83bf80] StaticArraysCore v1.4.3 [64bff920] StatisticalTraits v3.5.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.5 [4c63d2b9] StatsFuns v1.5.0 [3eaba693] StatsModels v0.7.4 [892a3eda] StringManipulation v0.4.1 [dc5dba14] TZJData v1.5.0+2025b [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [f269a46b] TimeZones v1.21.3 [3bb67fe8] TranscodingStreams v0.11.3 [5c2747f8] URIs v1.6.1 [3a884ed6] UnPack v1.0.2 [81def892] VersionParsing v1.3.0 [ea10d353] WeakRefStrings v1.4.2 [1b915085] WinReg v1.0.0 [76eceee3] WorkerUtilities v1.6.1 [c8ffd9c3] MbedTLS_jll v2.28.6+2 [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 v1.6.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [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 v1.13.0 [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 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.11.1+1 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.5.20 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.5.1+0 [bea87d4a] SuiteSparse_jll v7.8.3+2 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.13.1+0 [8e850ede] nghttp2_jll v1.64.0+1 [3f19e933] p7zip_jll v17.5.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Precompiling packages... 1971.5 ms ✓ LossFunctions → LossFunctionsCategoricalArraysExt 5226.6 ms ✓ ARFFFiles 3414.0 ms ✓ LatinHypercubeSampling 3339.8 ms ✓ StatsFuns 8063.3 ms ✓ OpenML 10272.7 ms ✓ Distributions 5122.7 ms ✓ Distributions → DistributionsTestExt 10019.8 ms ✓ ScientificTypes 8908.2 ms ✓ CategoricalDistributions 29155.9 ms ✓ MLJModels 34100.4 ms ✓ MLJBase 11944.0 ms ✓ MLJIteration 11819.4 ms ✓ MLJFlow 11228.0 ms ✓ MLJTuning 10592.6 ms ✓ MLJEnsembles 55297.4 ms ✓ MLJ 16 dependencies successfully precompiled in 223 seconds. 123 already precompiled. == UTILS == Test Summary: | Pass Total Time Checks | 4 4 3.1s Test Summary: | Pass Total Time Augment | 2 2 0.5s Test Summary: | Pass Total Time Apply | 8 8 6.6s Test Summary: | Pass Total Time Sigmoid | 13 13 0.1s Test Summary: | Pass Total Time Hat matrix | 1 1 4.2s Test Summary: | Pass Total Time Soft-thresh | 1 1 2.1s Test Summary: | Pass Total Time Clip | 2 2 1.3s == LOSS-PENALTY == > generic < Test Summary: | Pass Total Time LPCost basics | 11 11 1.6s Test Summary: | Pass Total Time Comp LPs | 30 30 6.3s Test Summary: | Pass Total Time Compose | 19 19 0.4s Test Summary: | Pass Total Time Logistic | 1 1 1.2s Test Summary: | Pass Total Time Multinomial | 12 12 0.8s > utils < Test Summary: | Pass Total Time elastic net | 7 7 0.3s > robust < WARNING: Method definition (::Main.var"#p1#p1##0"{δ})(Any) in module Main at /home/pkgeval/.julia/packages/MLJLinearModels/s9vSj/test/loss-penalty/robust.jl:14 overwritten at /home/pkgeval/.julia/packages/MLJLinearModels/s9vSj/test/loss-penalty/robust.jl:19. WARNING: Method definition (::Main.var"#p2#p2##0"{δ})(Any) in module Main at /home/pkgeval/.julia/packages/MLJLinearModels/s9vSj/test/loss-penalty/robust.jl:15 overwritten at /home/pkgeval/.julia/packages/MLJLinearModels/s9vSj/test/loss-penalty/robust.jl:20. WARNING: Method definition (::Main.var"#p1#p1##0"{δ})(Any) in module Main at /home/pkgeval/.julia/packages/MLJLinearModels/s9vSj/test/loss-penalty/robust.jl:19 overwritten at /home/pkgeval/.julia/packages/MLJLinearModels/s9vSj/test/loss-penalty/robust.jl:30. WARNING: Method definition (::Main.var"#p2#p2##0"{δ})(Any) in module Main at /home/pkgeval/.julia/packages/MLJLinearModels/s9vSj/test/loss-penalty/robust.jl:20 overwritten at /home/pkgeval/.julia/packages/MLJLinearModels/s9vSj/test/loss-penalty/robust.jl:31. Test Summary: | Pass Total Time Robust Loss | 7 7 6.2s == GLR == > constructors < Test Summary: | Pass Total Time Constructors | 49 49 0.9s Test Summary: | Pass Total Time Multinomial | 6 6 0.2s > utils < Test Summary: | Pass Total Time Tools | 2 2 0.5s Test Summary: | Pass Total Time Objectives | 10 10 3.7s > grads-hess < Test Summary: | Pass Total Time GH> Ridge | 4 4 2.5s Test Summary: | Pass Total Time GH> EN/Lasso | 8 8 2.1s WARNING: Method definition logsigmoid(Any) in module Main at /home/pkgeval/.julia/packages/MLJLinearModels/s9vSj/test/glr/grad-hess-prox.jl:109 overwritten at /home/pkgeval/.julia/packages/MLJLinearModels/s9vSj/test/glr/grad-hess-prox.jl:144. WARNING: Method definition objective2(Any) in module Main at /home/pkgeval/.julia/packages/MLJLinearModels/s9vSj/test/glr/grad-hess-prox.jl:110 overwritten at /home/pkgeval/.julia/packages/MLJLinearModels/s9vSj/test/glr/grad-hess-prox.jl:145. Test Summary: | Pass Total Time GH> LogitL2 | 16 16 30.6s Test Summary: | Pass Total Time GH> MultinL2 | 6 6 12.1s Test Summary: | Pass Total Time GH> Huber | 13 13 8.6s == FIT == > ols-ridge-lasso-elnet < Test Summary: | Pass Total Time linreg | 3 3 5.8s Test Summary: | Pass Total Time ridgereg | 5 5 4.0s Test Summary: | Pass Total Time lasso | 19 19 5.1s Test Summary: | Pass Total Time elnet | 12 12 4.2s Test Summary: | Pass Total Time gramian | 2 2 0.4s > logistic & multinomial < Test Summary: | Pass Total Time Logreg | 13 13 22.1s Test Summary: | Pass Total Time Multinomial | 9 9 3.8s Test Summary: | Pass Total Time Logreg/EN | 9 9 7.6s Test Summary: | Pass Total Time Multin/EN | 8 8 8.5s > robust < Test Summary: | Pass Total Time HuberReg | 17 17 13.1s Test Summary: | Pass Total Time AndrewsReg | 6 6 10.0s Test Summary: | Pass Total Time BisquareReg | 6 6 10.1s Test Summary: | Pass Total Time LogisticReg | 6 6 9.1s Test Summary: | Pass Total Time FairReg | 6 6 9.6s Test Summary: | Pass Total Time TalwarReg | 6 6 10.0s Test Summary: | Pass Total Time Robust+L1 | 6 6 5.3s > quantile & LAD < Test Summary: | Pass Total Time QuantileReg | 11 11 9.4s Test Summary: | Pass Total Time LAD+L1 | 5 5 3.9s == MLJ == > metadata < Test Summary: | Pass Total Time meta-pkg | 5 5 0.0s Test Summary: | Pass Total Time meta-reg | 5 5 4.7s Test Summary: | Pass Total Time meta-clf | 5 5 0.2s > fit-predict < ┌ Info: Solver: Analytical │ iterative: Bool false └ max_inner: Int64 200 Test Summary: | Pass Total Time ridge-reg | 2 2 7.4s ┌ Info: Solver: LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() Test Summary: | Pass Total Time logistic | 1 1 33.1s ┌ Info: Solver: LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: Training machine(MultinomialClassifier(lambda = 0.5, …), …). ┌ Info: Solver: LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() Test Summary: | Pass Total Time multinomial | 2 2 32.5s Test Summary: | Pass Total Time String-Symbol | 3 3 0.1s [ Info: Training machine(LogisticClassifier(lambda = 2.220446049250313e-16, …), …). ┌ Info: Solver: LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() Test Summary: | Pass Total Time Logistic-m | 1 1 8.5s Test Summary: | Pass Total Time Fitting a classifier with verbosity=1 | 1 1 21.0s > extras < ┌ Warning: horizontal concatenation of data frame with a vector is deprecated. Pass DataFrame(x1=x) instead. │ caller = #hcat#133 at abstractdataframe.jl:1640 [inlined] └ @ Core ~/.julia/packages/DataFrames/kcA9R/src/abstractdataframe/abstractdataframe.jl:1640 [ Info: Training machine(LogisticClassifier(lambda = 2.220446049250313e-16, …), …). ┌ Info: Solver: LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: Training machine(LogisticClassifier(lambda = 2.220446049250313e-16, …), …). ┌ Info: Solver: LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() Test Summary: | Pass Total Time Levels | 2 2 52.2s [ Info: Training machine(MultinomialClassifier(lambda = 2.220446049250313e-16, …), …). ┌ Info: Solver: LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() Test Summary: | Total Time Binary | 0 4.8s [ Info: Training machine(MultinomialClassifier(lambda = 2.220446049250313e-16, …), …). ┌ Info: Solver: LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: Training machine(LogisticClassifier(lambda = 2.220446049250313e-16, …), …). ┌ Info: Solver: LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() Test Summary: | Pass Total Time Crabs | 2 2 11.2s == MISC == > benchmarks < Testing MLJLinearModels tests passed Testing completed after 689.13s PkgEval succeeded after 872.07s