Package evaluation to test SoleModels on Julia 1.14.0-DEV.2071 (559ec66647*) started at 2026-04-24T02:44:10.858 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.67s ################################################################################ # Installation # Installing SoleModels... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [4249d9c7] + SoleModels v0.10.6 Updating `~/.julia/environments/v1.14/Manifest.toml` [1520ce14] + AbstractTrees v0.4.5 [66dad0bd] + AliasTables v1.1.3 [ec485272] + ArnoldiMethod v0.4.0 [d1d4a3ce] + BitFlags v0.1.9 [336ed68f] + CSV v0.10.16 [acdeb78f] + Catch22 v0.7.0 [324d7699] + CategoricalArrays v1.1.0 [da1fd8a2] + CodeTracking v3.0.2 [944b1d66] + CodecZlib v0.7.8 [3da002f7] + ColorTypes v0.12.1 [861a8166] + Combinatorics v1.1.0 [34da2185] + Compat v4.18.1 [807dbc54] + Compiler v0.1.1 [f0e56b4a] + ConcurrentUtilities v2.5.1 [187b0558] + ConstructionBase v1.6.0 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.8.2 ⌅ [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [e7dc6d0d] + DataValues v0.4.13 [8bb1440f] + DelimitedFiles v1.9.1 [85a47980] + Dictionaries v0.4.6 ⌅ [0703355e] + DimensionalData v0.29.27 [6e83dbb3] + Discretizers v3.2.4 [31c24e10] + Distributions v0.25.125 [ffbed154] + DocStringExtensions v0.9.5 [460bff9d] + ExceptionUnwrapping v0.1.11 [411431e0] + Extents v0.1.6 [48062228] + FilePathsBase v0.9.24 [1a297f60] + FillArrays v1.16.0 [53c48c17] + FixedPointNumbers v0.8.5 [069b7b12] + FunctionWrappers v1.1.3 ⌃ [86223c79] + Graphs v1.13.1 [cd3eb016] + HTTP v1.11.0 [34004b35] + HypergeometricFunctions v0.3.28 [313cdc1a] + Indexing v1.1.1 [d25df0c9] + Inflate v0.1.5 [842dd82b] + InlineStrings v1.4.5 [85a1e053] + Interfaces v0.3.2 [8197267c] + IntervalSets v0.7.14 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.6 [c8e1da08] + IterTools v1.10.0 [1c8ee90f] + IterableTables v1.0.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v1.5.0 [aa1ae85d] + JuliaInterpreter v0.10.12 [b964fa9f] + LaTeXStrings v1.4.0 [50d2b5c4] + Lazy v0.15.1 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 [6f1432cf] + LoweredCodeUtils v3.5.1 [e80e1ace] + MLJModelInterface v1.12.1 [1914dd2f] + MacroTools v0.5.16 [739be429] + MbedTLS v1.1.10 [e1d29d7a] + Missings v1.2.0 [8cc5100c] + MultiData v0.1.4 [4d8831e6] + OpenSSL v1.6.1 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.37 [69de0a69] + Parsers v2.8.3 [2dfb63ee] + PooledArrays v1.4.3 [aea7be01] + PrecompileTools v1.3.3 [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 [1a8c2f83] + Query v1.1.0 [2aef5ad7] + QueryOperators v1.0.1 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [295af30f] + Revise v3.14.2 [79098fc4] + Rmath v0.9.0 [321657f4] + ScientificTypes v3.2.0 [30f210dd] + ScientificTypesBase v3.1.0 [91c51154] + SentinelArrays v1.4.9 [777ac1f9] + SimpleBufferStream v1.2.0 [699a6c99] + SimpleTraits v0.9.5 [4475fa32] + SoleBase v0.13.4 [123f1ae1] + SoleData v0.16.7 [b002da8f] + SoleLogics v0.13.7 [4249d9c7] + SoleModels v0.10.6 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.7.2 [90137ffa] + StaticArrays v1.9.18 [1e83bf80] + StaticArraysCore v1.4.4 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.10 [4c63d2b9] + StatsFuns v1.5.2 [892a3eda] + StringManipulation v0.4.4 [ec057cc2] + StructUtils v2.8.0 [5e66a065] + TableShowUtils v0.2.7 [3783bdb8] + TableTraits v1.0.1 [382cd787] + TableTraitsUtils v1.0.2 [bd369af6] + Tables v1.12.1 [4239201d] + ThreadSafeDicts v0.1.6 [f3112013] + TimeseriesFeatures v0.6.1 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.6.1 [2fbcfb34] + UniqueVectors v1.2.0 [ea10d353] + WeakRefStrings v1.4.2 [76eceee3] + WorkerUtilities v1.6.1 [a5390f91] + ZipFile v0.10.1 [c8ffd9c3] + MbedTLS_jll v2.28.1010+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [8a07c0c5] + catch22_jll v0.5.0+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 v1.13.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [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 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [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 [1a1011a3] + SharedArrays 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 [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 v8.19.0+0 [e37daf67] + LibGit2_jll v1.9.2+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2026.3.19 [4536629a] + OpenBLAS_jll v0.3.30+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.6+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.69.0+0 [3f19e933] + p7zip_jll v17.8.0+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 5.9s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 13.0 s ✓ MLJTransforms 19.5 s ✓ StatisticalMeasuresBase 9.8 s ✓ CategoricalDistributions WARNING: Imported binding SoleLogics.synstruct was undeclared at import time during import to SoleModels. WARNING: Imported binding SoleBase._CLabel was undeclared at import time during import to SoleModels. WARNING: Imported binding SoleBase._Label was undeclared at import time during import to SoleModels. 36.9 s ✓ SoleModels 46.2 s ✓ StatisticalMeasures 20.3 s ✓ MLJModels 15.9 s ✓ MLJEnsembles 21.2 s ✓ MLJBase 29.0 s ✓ SoleModels → DecisionTreeExt 29.9 s ✓ SoleModels → XGBoostExt 13.5 s ✓ StatisticalMeasures → ScientificTypesExt 13.3 s ✓ MLJBase → DefaultMeasuresExt 16.7 s ✓ MLJBalancing 17.4 s ✓ MLJIteration 16.9 s ✓ MLJTuning 26.2 s ✓ MLJ 16 dependencies successfully precompiled in 351 seconds. 311 already precompiled. 1 dependency had output during precompilation: ┌ SoleModels │ WARNING: Imported binding SoleLogics.synstruct was undeclared at import time during import to SoleModels. │ WARNING: Imported binding SoleBase._CLabel was undeclared at import time during import to SoleModels. │ WARNING: Imported binding SoleBase._Label was undeclared at import time during import to SoleModels. └ Precompilation completed after 380.14s ################################################################################ # Testing # Testing SoleModels Status `/tmp/jl_hePHmQ/Project.toml` [1520ce14] AbstractTrees v0.4.5 [324d7699] CategoricalArrays v1.1.0 [a93c6f00] DataFrames v1.8.2 [7806a523] DecisionTree v0.12.4 [1a297f60] FillArrays v1.16.0 [069b7b12] FunctionWrappers v1.1.3 [c8e1da08] IterTools v1.10.0 [033835bb] JLD2 v0.6.4 [50d2b5c4] Lazy v0.15.1 [add582a8] MLJ v0.23.2 [c6f25543] MLJDecisionTreeInterface v0.4.4 [e80e1ace] MLJModelInterface v1.12.1 [54119dfa] MLJXGBoostInterface v0.3.13 [8cc5100c] MultiData v0.1.4 [08abe8d2] PrettyTables v3.3.2 [189a3867] Reexport v1.2.2 [4475fa32] SoleBase v0.13.4 [123f1ae1] SoleData v0.16.7 [b002da8f] SoleLogics v0.13.7 [4249d9c7] SoleModels v0.10.6 [2913bbd2] StatsBase v0.34.10 [4239201d] ThreadSafeDicts v0.1.6 [009559a3] XGBoost v2.5.3 [8ba89e20] Distributed v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [d6f4376e] Markdown v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_hePHmQ/Manifest.toml` [da404889] ARFFFiles v1.6.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.44 [79e6a3ab] Adapt v4.5.2 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [ec485272] ArnoldiMethod v0.4.0 [4fba245c] ArrayInterface v7.24.0 [a9b6321e] Atomix v1.1.3 [198e06fe] BangBang v0.4.9 [9718e550] Baselet v0.1.1 [50ba71b6] BitBasis v0.9.10 [d1d4a3ce] BitFlags v0.1.9 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [fa961155] CEnum v0.5.0 [2a0fbf3d] CPUSummary v0.2.7 [336ed68f] CSV v0.10.16 [49dc2e85] Calculus v0.5.2 [acdeb78f] Catch22 v0.7.0 [324d7699] CategoricalArrays v1.1.0 [af321ab8] CategoricalDistributions v0.2.1 [d360d2e6] ChainRulesCore v1.26.1 [0b6fb165] ChunkCodecCore v1.0.1 [4c0bbee4] ChunkCodecLibZlib v1.0.0 [55437552] ChunkCodecLibZstd v1.0.0 [fb6a15b2] CloseOpenIntervals v0.1.13 [da1fd8a2] CodeTracking v3.0.2 [944b1d66] CodecZlib v0.7.8 [3da002f7] ColorTypes v0.12.1 [861a8166] Combinatorics v1.1.0 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.18.1 [807dbc54] Compiler v0.1.1 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [f0e56b4a] ConcurrentUtilities v2.5.1 [187b0558] ConstructionBase v1.6.0 [6add18c4] ContextVariablesX v0.1.3 [adafc99b] CpuId v0.3.1 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.2 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [e7dc6d0d] DataValues v0.4.13 [7806a523] DecisionTree v0.12.4 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [85a47980] Dictionaries v0.4.6 ⌅ [0703355e] DimensionalData v0.29.27 [6e83dbb3] Discretizers v3.2.4 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.125 [ffbed154] DocStringExtensions v0.9.5 [792122b4] EarlyStopping v0.3.0 [460bff9d] ExceptionUnwrapping v0.1.11 [411431e0] Extents v0.1.6 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [33837fe5] FeatureSelection v0.2.6 [5789e2e9] FileIO v1.18.0 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.16.0 [53c48c17] FixedPointNumbers v0.8.5 [069b7b12] FunctionWrappers v1.1.3 [46192b85] GPUArraysCore v0.2.0 ⌃ [86223c79] Graphs v1.13.1 [cd3eb016] HTTP v1.11.0 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [615f187c] IfElse v0.1.1 [313cdc1a] Indexing v1.1.1 [d25df0c9] Inflate v0.1.5 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings v1.4.5 [85a1e053] Interfaces v0.3.2 [8197267c] IntervalSets v0.7.14 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [c8e1da08] IterTools v1.10.0 [1c8ee90f] IterableTables v1.0.0 [b3c1a2ee] IterationControl v0.5.4 [82899510] IteratorInterfaceExtensions v1.0.0 [033835bb] JLD2 v0.6.4 [692b3bcd] JLLWrappers v1.7.1 [682c06a0] JSON v1.5.0 [aa1ae85d] JuliaInterpreter v0.10.12 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.41 [b964fa9f] LaTeXStrings v1.4.0 [a5e1c1ea] LatinHypercubeSampling v1.9.0 [10f19ff3] LayoutPointers v0.1.17 [50d2b5c4] Lazy v0.15.1 [92ad9a40] LearnAPI v2.0.1 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.2.0 [6f1432cf] LoweredCodeUtils v3.5.1 [c2834f40] MLCore v1.0.0 [add582a8] MLJ v0.23.2 [45f359ea] MLJBalancing v0.1.5 [a7f614a8] MLJBase v1.13.0 [c6f25543] MLJDecisionTreeInterface v0.4.4 [50ed68f4] MLJEnsembles v0.4.4 [614be32b] MLJIteration v0.6.4 [e80e1ace] MLJModelInterface v1.12.1 [d491faf4] MLJModels v0.18.7 [23777cdb] MLJTransforms v0.1.5 [03970b2e] MLJTuning v0.8.9 [b5d0f7f3] MLJWrappers v0.1.3 [54119dfa] MLJXGBoostInterface v0.3.13 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [1914dd2f] MacroTools v0.5.16 [d125e4d3] ManualMemory v0.1.8 [739be429] MbedTLS v1.1.10 [eff96d63] Measurements v2.14.1 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [8cc5100c] MultiData v0.1.4 [872c559c] NNlib v0.9.34 [71a1bf82] NameResolution v0.1.5 [8b6db2d4] OpenML v0.3.3 [4d8831e6] OpenSSL v1.6.1 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.37 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [f517fe37] Polyester v0.7.19 [1d0040c9] PolyesterWeave v0.2.2 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.2 [8162dcfd] PrettyPrint v0.2.0 [54e16d92] PrettyPrinting v0.4.2 [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 [1a8c2f83] Query v1.1.0 [2aef5ad7] QueryOperators v1.0.1 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [05181044] RelocatableFolders v1.0.1 [ae029012] Requires v1.3.1 [295af30f] Revise v3.14.2 [79098fc4] Rmath v0.9.0 [94e857df] SIMDTypes v0.1.0 [431bcebd] SciMLPublic v1.0.1 [321657f4] ScientificTypes v3.2.0 [30f210dd] ScientificTypesBase v3.1.0 [6e75b9c4] ScikitLearnBase v0.5.0 [7e506255] ScopedValues v1.6.0 [6c6a2e73] Scratch v1.3.0 [91c51154] SentinelArrays v1.4.9 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 [777ac1f9] SimpleBufferStream v1.2.0 [699a6c99] SimpleTraits v0.9.5 [4475fa32] SoleBase v0.13.4 [123f1ae1] SoleData v0.16.7 [b002da8f] SoleLogics v0.13.7 [4249d9c7] SoleModels v0.10.6 [a2af1166] SortingAlgorithms v1.2.2 [a0a7dd2c] SparseMatricesCSR v0.6.12 [276daf66] SpecialFunctions v2.7.2 [171d559e] SplittablesBase v0.1.15 [860ef19b] StableRNGs v1.0.4 [aedffcd0] Static v1.3.1 [0d7ed370] StaticArrayInterface v1.9.0 [90137ffa] StaticArrays v1.9.18 [1e83bf80] StaticArraysCore v1.4.4 [a19d573c] StatisticalMeasures v0.3.5 [c062fc1d] StatisticalMeasuresBase v0.1.3 [64bff920] StatisticalTraits v3.5.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.10 [4c63d2b9] StatsFuns v1.5.2 [7792a7ef] StrideArraysCore v0.5.8 [892a3eda] StringManipulation v0.4.4 [ec057cc2] StructUtils v2.8.0 [ab02a1b2] TableOperations v1.2.0 [5e66a065] TableShowUtils v0.2.7 [3783bdb8] TableTraits v1.0.1 [382cd787] TableTraitsUtils v1.0.2 [bd369af6] Tables v1.12.1 [4239201d] ThreadSafeDicts v0.1.6 [8290d209] ThreadingUtilities v0.5.5 [f3112013] TimeseriesFeatures v0.6.1 [3bb67fe8] TranscodingStreams v0.11.3 [28d57a85] Transducers v0.4.85 [5c2747f8] URIs v1.6.1 [3a884ed6] UnPack v1.0.2 [2fbcfb34] UniqueVectors v1.2.0 [013be700] UnsafeAtomics v0.3.1 [ea10d353] WeakRefStrings v1.4.2 [76eceee3] WorkerUtilities v1.6.1 [009559a3] XGBoost v2.5.3 [a5390f91] ZipFile v0.10.1 [4ee394cb] CUDA_Driver_jll v13.2.1+0 [76a88914] CUDA_Runtime_jll v0.21.0+1 [1d63c593] LLVMOpenMP_jll v18.1.8+0 [c8ffd9c3] MbedTLS_jll v2.28.1010+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [bf13095a] XGBoost_GPU_jll v2.1.5+0 [a5c6f535] XGBoost_jll v2.1.5+0 [8a07c0c5] catch22_jll v0.5.0+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 v1.13.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [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 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [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 [1a1011a3] SharedArrays 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 [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 v8.19.0+0 [e37daf67] LibGit2_jll v1.9.2+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2026.3.19 [4536629a] OpenBLAS_jll v0.3.30+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.6+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.2+0 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.69.0+0 [3f19e933] p7zip_jll v17.8.0+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... Julia version: 1.14.0-DEV.2071 ################################################## TEST: base.jl TEST: test_tree.jl ################################################## TEST: misc.jl ################################################## TEST: parse.jl ################################################## TEST: juliacon2024.jl [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ [ Info: Training machine(DecisionTreeClassifier(max_depth = -1, …), …). ▣ ([petal_width] < 0.7) ├✔ setosa └✘ ([petal_width] < 1.65) ├✔ ([petal_length] < 4.95) │ ├✔ versicolor │ └✘ ([petal_width] < 1.55) │ ├✔ virginica │ └✘ ([petal_length] < 5.449999999999999) │ ├✔ versicolor │ └✘ virginica └✘ ([petal_length] < 4.85) ├✔ ([sepal_width] < 3.1) │ ├✔ virginica │ └✘ versicolor └✘ virginica Rules: Error During Test at /home/pkgeval/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:60 Got exception outside of a @test LoadError: MethodError: no method matching _text__print_table(::PrettyTables.PrintingSpec; header::Vector{Any}, header_crayon::Crayons.Crayon) This method does not support all of the given keyword arguments (and may not support any). Closest candidates are: _text__print_table(::PrettyTables.PrintingSpec; alignment_anchor_fallback, alignment_anchor_regex, apply_alignment_regex_to_summary_rows, auto_wrap, column_label_width_based_on_first_line_only, display_size, equal_data_column_widths, fit_table_in_display_horizontally, fit_table_in_display_vertically, fixed_data_column_widths, highlighters, line_breaks, minimum_data_column_widths, maximum_data_column_widths, overwrite_display, reserved_display_lines, shrinkable_data_column, shrinkable_column_minimum_width, style, table_format) got unsupported keyword arguments "header", "header_crayon" @ PrettyTables ~/.julia/packages/PrettyTables/tz31H/src/backends/text/text_backend.jl:13 Stacktrace: [1] kwerr(::@NamedTuple{header::Vector{Any}, header_crayon::Crayons.Crayon}, ::Function, ::PrettyTables.PrintingSpec) @ Base ./error.jl:177 [2] _printing_backend(::Val{:text}, pspec::PrettyTables.PrintingSpec; is_stdout::Bool, kwargs::@Kwargs{header::Vector{Any}, header_crayon::Crayons.Crayon}) @ PrettyTables ~/.julia/packages/PrettyTables/tz31H/src/main.jl:512 [3] _pretty_table(io::IO, data::Any, backend::Symbol, compact_printing::Bool, limit_printing::Bool, show_omitted_cell_summary::Bool, renderer::Symbol, title::String, subtitle::String, stubhead_label::String, row_number_column_label::String, row_labels::Nothing, row_group_labels::Nothing, column_labels::Nothing, show_column_labels::Bool, summary_rows::Nothing, summary_row_labels::Nothing, footnotes::Nothing, source_notes::String, alignment::Symbol, column_label_alignment::Nothing, continuation_row_alignment::Nothing, footnote_alignment::Symbol, row_label_column_alignment::Symbol, row_group_label_alignment::Symbol, row_number_column_alignment::Symbol, source_note_alignment::Symbol, subtitle_alignment::Symbol, title_alignment::Symbol, cell_alignment::Nothing, formatters::Nothing, maximum_number_of_columns::Int64, maximum_number_of_rows::Int64, merge_column_label_cells::Symbol, new_line_at_end::Bool, show_first_column_label_only::Bool, show_row_number_column::Bool, vertical_crop_mode::Symbol; kwargs::@Kwargs{header::Vector{Any}, header_crayon::Crayons.Crayon}) @ PrettyTables ~/.julia/packages/PrettyTables/tz31H/src/main.jl:479 [4] _pretty_table @ ~/.julia/packages/PrettyTables/tz31H/src/main.jl:212 [inlined] [5] #pretty_table#9 @ ~/.julia/packages/PrettyTables/tz31H/src/main.jl:94 [inlined] [6] pretty_table(data::Any; kwargs::@Kwargs{header::Vector{Any}, header_crayon::Crayons.Crayon}) @ PrettyTables ~/.julia/packages/PrettyTables/tz31H/src/main.jl:11 [7] metricstable(ms::Vector{ClassificationRule{String}}; metrics_kwargs::@NamedTuple{}, syntaxstring_kwargs::@NamedTuple{}, variable_names_map::Nothing, pretty_table_kwargs::@Kwargs{}) @ SoleModels ~/.julia/packages/SoleModels/bbNUZ/src/evaluate.jl:169 [8] metricstable(ms::Vector{ClassificationRule{String}}) @ SoleModels ~/.julia/packages/SoleModels/bbNUZ/src/evaluate.jl:162 [9] metricstable(m::SoleModels.DecisionTree{String}; normalize::Bool, min_lift::Nothing, min_confidence::Nothing, min_ncovered::Nothing, min_ninstances::Nothing, kwargs::@Kwargs{}) @ SoleModels ~/.julia/packages/SoleModels/bbNUZ/src/evaluate.jl:180 [10] top-level scope @ ~/.julia/packages/SoleModels/bbNUZ/test/juliacon2024.jl:47 [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:327 [12] run_tests(list::Vector{String}) @ Main ~/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:37 [13] macro expansion @ ~/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:61 [inlined] [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [15] macro expansion @ ~/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:61 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [17] top-level scope @ ~/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:56 [18] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:327 [19] top-level scope @ none:6 [20] eval(m::Module, e::Any) @ Core ./boot.jl:517 [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:318 [22] _start() @ Base ./client.jl:593 in expression starting at /home/pkgeval/.julia/packages/SoleModels/bbNUZ/test/juliacon2024.jl:47 ################################################## TEST: linear-form-utilities.jl ################################################## TEST: DecisionTreeExt/tree.jl Training set size: (120, 4) - (120,) Test set size: (30, 4) - (30,) Training set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}} Test set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}} [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ [ Info: Training machine(DecisionTreeClassifier(max_depth = -1, …), …). ▣ ([petal_width] < 0.75) ├✔ setosa : (ninstances = 41, ncovered = 41, confidence = 1.0, lift = 1.0) └✘ ([petal_width] < 1.75) ├✔ ([petal_length] < 4.95) │ ├✔ ([petal_width] < 1.65) │ │ ├✔ versicolor : (ninstances = 37, ncovered = 37, confidence = 1.0, lift = 1.0) │ │ └✘ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) │ └✘ ([sepal_width] < 2.6500000000000004) │ ├✔ virginica : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) │ └✘ ([sepal_length] < 6.95) │ ├✔ versicolor : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) │ └✘ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) └✘ virginica : (ninstances = 36, ncovered = 36, confidence = 1.0, lift = 1.0) ▣ ([petal_width] < 0.75) ↣ setosa : (ninstances = 120, ncovered = 41, coverage = 0.34, confidence = 1.0, lift = 2.93, natoms = 1) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] < 1.65)) ↣ versicolor : (ninstances = 120, ncovered = 37, coverage = 0.31, confidence = 1.0, lift = 3.08, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] ≥ 1.65)) ↣ virginica : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.0, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([sepal_width] < 2.6500000000000004)) ↣ virginica : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.0, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([sepal_width] ≥ 2.6500000000000004)) ∧ (([sepal_length] < 6.95)) ↣ versicolor : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.08, natoms = 5) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([sepal_width] ≥ 2.6500000000000004)) ∧ (([sepal_length] ≥ 6.95)) ↣ virginica : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.0, natoms = 5) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ↣ virginica : (ninstances = 120, ncovered = 36, coverage = 0.3, confidence = 1.0, lift = 3.0, natoms = 2) ▣ ([petal_width] < 0.75) ↣ setosa : (ninstances = 41, ncovered = 41, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 41, coverage = 0.34, confidence = 1.0, lift = 2.93, natoms = 1) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] < 1.65)) ↣ versicolor : (ninstances = 37, ncovered = 37, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 37, coverage = 0.31, confidence = 1.0, lift = 3.08, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] ≥ 1.65)) ↣ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.0, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([sepal_width] < 2.6500000000000004)) ↣ virginica : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.0, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([sepal_width] ≥ 2.6500000000000004)) ∧ (([sepal_length] < 6.95)) ↣ versicolor : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.08, natoms = 5) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([sepal_width] ≥ 2.6500000000000004)) ∧ (([sepal_length] ≥ 6.95)) ↣ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.0, natoms = 5) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ↣ virginica : (ninstances = 36, ncovered = 36, confidence = 1.0, lift = 1.0) : (ninstances = 120, ncovered = 36, coverage = 0.3, confidence = 1.0, lift = 3.0, natoms = 2) ▣ ([petal_width] < 0.75) : (ninstances = 120, ncovered = 41, coverage = 0.34, confidence = 1.0, lift = 2.93, natoms = 1) └✔ setosa : (ninstances = 41, ncovered = 41, confidence = 1.0, lift = 1.0) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] < 1.65)) : (ninstances = 120, ncovered = 37, coverage = 0.31, confidence = 1.0, lift = 3.08, natoms = 4) └✔ versicolor : (ninstances = 37, ncovered = 37, confidence = 1.0, lift = 1.0) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] ≥ 1.65)) : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.0, natoms = 4) └✔ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([sepal_width] < 2.6500000000000004)) : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.0, natoms = 4) └✔ virginica : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([sepal_width] ≥ 2.6500000000000004)) ∧ (([sepal_length] < 6.95)) : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.08, natoms = 5) └✔ versicolor : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([sepal_width] ≥ 2.6500000000000004)) ∧ (([sepal_length] ≥ 6.95)) : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.0, natoms = 5) └✔ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) : (ninstances = 120, ncovered = 36, coverage = 0.3, confidence = 1.0, lift = 3.0, natoms = 2) └✔ virginica : (ninstances = 36, ncovered = 36, confidence = 1.0, lift = 1.0) ▣ ([petal_width] < 0.75) ↣ setosa : (ninstances = 120, ncovered = 41, coverage = 0.34, confidence = 1.0, lift = 2.93, natoms = 1) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] < 1.65)) ↣ versicolor : (ninstances = 120, ncovered = 37, coverage = 0.31, confidence = 1.0, lift = 3.08, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] ≥ 1.65)) ↣ virginica : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.0, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([sepal_width] < 2.6500000000000004)) ↣ virginica : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.0, natoms = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([sepal_width] ≥ 2.6500000000000004)) ∧ (([sepal_length] < 6.95)) ↣ versicolor : (ninstances = 120, ncovered = 2, coverage = 0.02, confidence = 1.0, lift = 3.08, natoms = 5) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([sepal_width] ≥ 2.6500000000000004)) ∧ (([sepal_length] ≥ 6.95)) ↣ virginica : (ninstances = 120, ncovered = 1, coverage = 0.01, confidence = 1.0, lift = 3.0, natoms = 5) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ↣ virginica : (ninstances = 120, ncovered = 36, coverage = 0.3, confidence = 1.0, lift = 3.0, natoms = 2) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] ≥ 1.65)) ↣ virginica : (ninstances = 120, ncovered = 1, coverage = 0.008333333333333333, confidence = 1.0, lift = 3.0, natoms = 4, length = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([sepal_width] ≥ 2.6500000000000004)) ∧ (([sepal_length] ≥ 6.95)) ↣ virginica : (ninstances = 120, ncovered = 1, coverage = 0.008333333333333333, confidence = 1.0, lift = 3.0, natoms = 5, length = 5) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([sepal_width] < 2.6500000000000004)) ↣ virginica : (ninstances = 120, ncovered = 2, coverage = 0.016666666666666666, confidence = 1.0, lift = 3.0, natoms = 4, length = 4) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] ≥ 4.95)) ∧ (([sepal_width] ≥ 2.6500000000000004)) ∧ (([sepal_length] < 6.95)) ↣ versicolor : (ninstances = 120, ncovered = 2, coverage = 0.016666666666666666, confidence = 1.0, lift = 3.0769230769230766, natoms = 5, length = 5) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] ≥ 1.75)) ↣ virginica : (ninstances = 120, ncovered = 36, coverage = 0.3, confidence = 1.0, lift = 3.0, natoms = 2, length = 2) ▣ (([petal_width] ≥ 0.75)) ∧ (([petal_width] < 1.75)) ∧ (([petal_length] < 4.95)) ∧ (([petal_width] < 1.65)) ↣ versicolor : (ninstances = 120, ncovered = 37, coverage = 0.30833333333333335, confidence = 1.0, lift = 3.0769230769230766, natoms = 4, length = 4) ▣ ([petal_width] < 0.75) ↣ setosa : (ninstances = 120, ncovered = 41, coverage = 0.3416666666666667, confidence = 1.0, lift = 2.926829268292683, natoms = 1, length = 1) [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ TEST: DecisionTreeExt/forest.jl Training set size: (120, 4) - (120,) Test set size: (30, 4) - (30,) Training set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}} Test set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}} [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ [ Info: Training machine(RandomForestClassifier(max_depth = 3, …), …). ▣ Ensemble{UInt32} of 10 models of type Branch{CategoricalValue{String, UInt32}} ├[1/10]┐ ([petal_width] < 0.75) │ ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0) │ └✘ ([petal_width] < 1.75) │ ├✔ ([petal_length] < 4.95) │ │ ├✔ versicolor : (ninstances = 10, ncovered = 10, confidence = 1.0, lift = 1.0) │ │ └✘ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) │ └✘ virginica : (ninstances = 10, ncovered = 10, confidence = 0.9, lift = 1.0) ├[2/10]┐ ([petal_length] < 2.45) │ ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0) │ └✘ ([petal_length] < 5.05) │ ├✔ ([petal_width] < 1.65) │ │ ├✔ versicolor : (ninstances = 10, ncovered = 10, confidence = 1.0, lift = 1.0) │ │ └✘ virginica : (ninstances = 3, ncovered = 3, confidence = 0.67, lift = 1.0) │ └✘ virginica : (ninstances = 8, ncovered = 8, confidence = 1.0, lift = 1.0) ├[3/10]┐ ([petal_width] < 0.7) │ ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0) │ └✘ ([petal_width] < 1.75) │ ├✔ ([sepal_length] < 4.95) │ │ ├✔ virginica : (ninstances = 0, ncovered = 0, confidence = NaN, lift = NaN) │ │ └✘ versicolor : (ninstances = 11, ncovered = 11, confidence = 0.91, lift = 1.0) │ └✘ virginica : (ninstances = 10, ncovered = 10, confidence = 0.9, lift = 1.0) ├[4/10]┐ ([sepal_length] < 5.75) │ ├✔ ([petal_width] < 0.75) │ │ ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0) │ │ └✘ ([sepal_length] < 5.65) │ │ ├✔ versicolor : (ninstances = 4, ncovered = 4, confidence = 0.75, lift = 1.0) │ │ └✘ virginica : (ninstances = 1, ncovered = 1, confidence = 0.0, lift = NaN) │ └✘ ([petal_width] < 1.75) │ ├✔ ([petal_length] < 4.95) │ │ ├✔ versicolor : (ninstances = 6, ncovered = 6, confidence = 1.0, lift = 1.0) │ │ └✘ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) │ └✘ virginica : (ninstances = 9, ncovered = 9, confidence = 0.89, lift = 1.0) ├[5/10]┐ ([petal_width] < 0.75) │ ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0) │ └✘ ([sepal_length] < 5.75) │ ├✔ ([petal_width] < 1.6) │ │ ├✔ versicolor : (ninstances = 4, ncovered = 4, confidence = 1.0, lift = 1.0) │ │ └✘ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) │ └✘ ([petal_width] < 1.7000000000000002) │ ├✔ versicolor : (ninstances = 7, ncovered = 7, confidence = 0.86, lift = 1.0) │ └✘ virginica : (ninstances = 9, ncovered = 9, confidence = 0.89, lift = 1.0) ├[6/10]┐ ([petal_width] < 0.75) │ ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0) │ └✘ ([petal_width] < 1.7000000000000002) │ ├✔ ([petal_length] < 4.9) │ │ ├✔ versicolor : (ninstances = 10, ncovered = 10, confidence = 1.0, lift = 1.0) │ │ └✘ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) │ └✘ virginica : (ninstances = 10, ncovered = 10, confidence = 0.9, lift = 1.0) ├[7/10]┐ ([petal_length] < 2.45) │ ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0) │ └✘ ([sepal_length] < 7.0) │ ├✔ ([petal_width] < 1.65) │ │ ├✔ versicolor : (ninstances = 11, ncovered = 11, confidence = 0.91, lift = 1.0) │ │ └✘ virginica : (ninstances = 8, ncovered = 8, confidence = 0.88, lift = 1.0) │ └✘ virginica : (ninstances = 2, ncovered = 2, confidence = 1.0, lift = 1.0) ├[8/10]┐ ([petal_width] < 0.7) │ ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0) │ └✘ ([petal_length] < 4.95) │ ├✔ ([petal_width] < 1.65) │ │ ├✔ versicolor : (ninstances = 10, ncovered = 10, confidence = 1.0, lift = 1.0) │ │ └✘ virginica : (ninstances = 3, ncovered = 3, confidence = 0.67, lift = 1.0) │ └✘ ([petal_length] < 5.199999999999999) │ ├✔ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) │ └✘ virginica : (ninstances = 7, ncovered = 7, confidence = 1.0, lift = 1.0) ├[9/10]┐ ([petal_width] < 0.7) │ ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0) │ └✘ ([petal_width] < 1.65) │ ├✔ versicolor : (ninstances = 11, ncovered = 11, confidence = 0.91, lift = 1.0) │ └✘ ([petal_width] < 1.75) │ ├✔ virginica : (ninstances = 0, ncovered = 0, confidence = NaN, lift = NaN) │ └✘ virginica : (ninstances = 10, ncovered = 10, confidence = 0.9, lift = 1.0) └[10/10]┐ ([sepal_length] < 5.45) ├✔ ([petal_length] < 3.2) │ ├✔ setosa : (ninstances = 9, ncovered = 9, confidence = 1.0, lift = 1.0) │ └✘ virginica : (ninstances = 2, ncovered = 2, confidence = 0.0, lift = NaN) └✘ ([petal_length] < 4.75) ├✔ ([sepal_width] < 3.7) │ ├✔ versicolor : (ninstances = 8, ncovered = 8, confidence = 1.0, lift = 1.0) │ └✘ setosa : (ninstances = 0, ncovered = 0, confidence = NaN, lift = NaN) └✘ ([petal_width] < 1.7000000000000002) ├✔ virginica : (ninstances = 1, ncovered = 1, confidence = 1.0, lift = 1.0) └✘ virginica : (ninstances = 10, ncovered = 10, confidence = 0.9, lift = 1.0) [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ TEST: DecisionTreeExt/adaboost.jl Training set size: (105, 4) - (105,) Test set size: (45, 4) - (45,) Training set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}} Test set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}} [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ ▣ Ensemble{UInt32} of 10 models of type Branch{CategoricalValue{String, UInt32}} ├[1/10]┐ ([petal_width] < 0.8) │ ├✔ setosa : (ninstances = 17, ncovered = 17, confidence = 1.0, lift = 1.0) │ └✘ versicolor : (ninstances = 28, ncovered = 28, confidence = 0.46, lift = 1.0) ├[2/10]┐ ([petal_length] < 2.45) │ ├✔ setosa : (ninstances = 17, ncovered = 17, confidence = 1.0, lift = 1.0) │ └✘ virginica : (ninstances = 28, ncovered = 28, confidence = 0.54, lift = 1.0) ├[3/10]┐ ([petal_width] < 1.75) │ ├✔ versicolor : (ninstances = 32, ncovered = 32, confidence = 0.41, lift = 1.0) │ └✘ virginica : (ninstances = 13, ncovered = 13, confidence = 1.0, lift = 1.0) ├[4/10]┐ ([petal_width] < 0.8) │ ├✔ setosa : (ninstances = 17, ncovered = 17, confidence = 1.0, lift = 1.0) │ └✘ versicolor : (ninstances = 28, ncovered = 28, confidence = 0.46, lift = 1.0) ├[5/10]┐ ([petal_length] < 2.45) │ ├✔ setosa : (ninstances = 17, ncovered = 17, confidence = 1.0, lift = 1.0) │ └✘ virginica : (ninstances = 28, ncovered = 28, confidence = 0.54, lift = 1.0) ├[6/10]┐ ([petal_length] < 4.85) │ ├✔ versicolor : (ninstances = 29, ncovered = 29, confidence = 0.38, lift = 1.0) │ └✘ virginica : (ninstances = 16, ncovered = 16, confidence = 0.88, lift = 1.0) ├[7/10]┐ ([petal_length] < 2.45) │ ├✔ setosa : (ninstances = 17, ncovered = 17, confidence = 1.0, lift = 1.0) │ └✘ versicolor : (ninstances = 28, ncovered = 28, confidence = 0.46, lift = 1.0) ├[8/10]┐ ([petal_width] < 0.8) │ ├✔ setosa : (ninstances = 17, ncovered = 17, confidence = 1.0, lift = 1.0) │ └✘ virginica : (ninstances = 28, ncovered = 28, confidence = 0.54, lift = 1.0) ├[9/10]┐ ([sepal_length] < 4.95) │ ├✔ virginica : (ninstances = 9, ncovered = 9, confidence = 0.0, lift = NaN) │ └✘ versicolor : (ninstances = 36, ncovered = 36, confidence = 0.36, lift = 1.0) └[10/10]┐ ([petal_length] < 2.45) ├✔ setosa : (ninstances = 17, ncovered = 17, confidence = 1.0, lift = 1.0) └✘ virginica : (ninstances = 28, ncovered = 28, confidence = 0.54, lift = 1.0) [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ AdaBoost accuracy: 0.9555555555555556 DecisionTree accuracy: 0.8888888888888888 RandomForest accuracy: 0.9555555555555556 [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ ################################################## TEST: XGBoostExt/xgboost_classifier.jl Training set size: (105, 4) - (105,) Test set size: (45, 4) - (45,) Training set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}} Test set type: DataFrame - CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}} [ Info: For silent loading, specify `verbosity=0`. import MLJXGBoostInterface ✔ XGBoostExt: Error During Test at /home/pkgeval/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:60 Got exception outside of a @test LoadError: MethodError: no method matching choose_preds(::Matrix{Tuple{CategoricalValue{String, UInt32}, Float32}}, ::CategoricalVector{String, UInt32, String, CategoricalValue{String, UInt32}, Union{}}, ::DecisionXGBoost{CategoricalValue{String, UInt32}, Branch{CategoricalValue{String, UInt32}}, SoleModels.var"#143#144"}) The function `choose_preds` exists, but no method is defined for this combination of argument types. Closest candidates are: choose_preds(::AbstractArray, !Matched::Vector{String}, ::DecisionXGBoost{<:Union{UInt32, AbstractString, Symbol, CategoricalValue}}) @ SoleModels ~/.julia/packages/SoleModels/bbNUZ/src/utils/models/ensembles.jl:472 Stacktrace: [1] apply(m::DecisionXGBoost{CategoricalValue{String, UInt32}, Branch{CategoricalValue{String, UInt32}}, SoleModels.var"#143#144"}, d::PropositionalLogiset{DataFrame}; suppress_parity_warning::Bool, kwargs::@Kwargs{}) @ SoleModels ~/.julia/packages/SoleModels/bbNUZ/src/utils/models/ensembles.jl:521 [2] apply(m::DecisionXGBoost{CategoricalValue{String, UInt32}, Branch{CategoricalValue{String, UInt32}}, SoleModels.var"#143#144"}, d::DataFrame; silent::Bool, suppress_parity_warning::Bool, kwargs::@Kwargs{}) @ SoleModels ~/.julia/packages/SoleModels/bbNUZ/src/types/model.jl:197 [3] apply(m::DecisionXGBoost{CategoricalValue{String, UInt32}, Branch{CategoricalValue{String, UInt32}}, SoleModels.var"#143#144"}, d::DataFrame) @ SoleModels ~/.julia/packages/SoleModels/bbNUZ/src/types/model.jl:192 [4] top-level scope @ ~/.julia/packages/SoleModels/bbNUZ/test/XGBoostExt/xgboost_classifier.jl:53 [5] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:327 [6] run_tests(list::Vector{String}) @ Main ~/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:37 [7] macro expansion @ ~/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:61 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [9] macro expansion @ ~/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:61 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2246 [inlined] [11] top-level scope @ ~/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:56 [12] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:327 [13] top-level scope @ none:6 [14] eval(m::Module, e::Any) @ Core ./boot.jl:517 [15] exec_options(opts::Base.JLOptions) @ Base ./client.jl:318 [16] _start() @ Base ./client.jl:593 in expression starting at /home/pkgeval/.julia/packages/SoleModels/bbNUZ/test/XGBoostExt/xgboost_classifier.jl:53 Test Summary: | Pass Error Broken Total Time SoleModels.jl | 902 2 30 934 6m10.8s Models | 98 98 46.1s Miscellaneous | 199 30 229 28.0s Parse | 13 13 27.3s Rules | 1 1 1m22.3s Linear forms | 7 7 0.4s DecisionTreeExt | 584 584 2m34.5s XGBoostExt | 1 1 2 32.1s RNG of the outermost testset: Xoshiro(0xe7ed806ac8abd4c5, 0x895ca6356400bb4b, 0x5bfab15723bd09f8, 0x249792117be31676, 0x500de8390a94d5b8) ERROR: LoadError: Some tests did not pass: 902 passed, 0 failed, 2 errored, 30 broken. in expression starting at /home/pkgeval/.julia/packages/SoleModels/bbNUZ/test/runtests.jl:55 Testing failed after 567.93s ERROR: LoadError: Package SoleModels errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3162 [3] Cmd(cmd::Cmd) @ Base /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3025 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:586 [5] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [7] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [8] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [10] include(mod::Module, _path::String) @ Base ./Base.jl:326 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:352 [12] _start() @ Base ./client.jl:593 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 997.47s: package tests unexpectedly errored