Package evaluation to test EvoTrees on Julia 1.14.0-DEV.30 (073666df8b*) started at 2025-11-04T18:36:30.906 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.79s ################################################################################ # Installation # Installing EvoTrees... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [f6006082] + EvoTrees v0.18.0 Updating `~/.julia/environments/v1.14/Manifest.toml` [66dad0bd] + AliasTables v1.1.3 [fbb218c0] + BSON v0.3.9 [324d7699] + CategoricalArrays v1.0.2 [34da2185] + Compat v4.18.1 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.2 [e2d170a0] + DataValueInterfaces v1.0.0 [31c24e10] + Distributions v0.25.122 [ffbed154] + DocStringExtensions v0.9.5 [f6006082] + EvoTrees v0.18.0 [411431e0] + Extents v0.1.6 [1a297f60] + FillArrays v1.14.0 [5c1252a2] + GeometryBasics v0.5.10 [34004b35] + HypergeometricFunctions v0.3.28 [92d709cd] + IrrationalConstants v0.2.6 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 [2ab3a3ac] + LogExpFunctions v0.3.29 [e80e1ace] + MLJModelInterface v1.12.0 [e1d29d7a] + Missings v1.2.0 [46757867] + NetworkLayout v0.4.10 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.36 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [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 [30f210dd] + ScientificTypesBase v3.0.0 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.6.1 [90137ffa] + StaticArrays v1.9.15 [1e83bf80] + StaticArraysCore v1.4.4 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.7 [4c63d2b9] + StatsFuns v1.5.2 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [5ae413db] + EarCut_jll v2.2.4+0 [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 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [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 [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 v1.0.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.16.0+0 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.9.9 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.67.1+0 [3f19e933] + p7zip_jll v17.6.0+0 Installation completed after 5.45s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Error: Failed to use TestEnv.jl; test dependencies will not be precompiled │ exception = │ UndefVarError: `project_rel_path` not defined in `TestEnv` │ Suggestion: this global was defined as `Pkg.Operations.project_rel_path` but not assigned a value. │ Stacktrace: │ [1] get_test_dir(ctx::Pkg.Types.Context, pkgspec::PackageSpec) │ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:75 │ [2] test_dir_has_project_file │ @ ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:52 [inlined] │ [3] maybe_gen_project_override! │ @ ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/common.jl:83 [inlined] │ [4] activate(pkg::String; allow_reresolve::Bool) │ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/activate_set.jl:12 │ [5] activate(pkg::String) │ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/activate_set.jl:9 │ [6] top-level scope │ @ /PkgEval.jl/scripts/precompile.jl:24 │ [7] include(mod::Module, _path::String) │ @ Base ./Base.jl:309 │ [8] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:344 │ [9] _start() │ @ Base ./client.jl:577 └ @ Main /PkgEval.jl/scripts/precompile.jl:26 Precompiling package dependencies... Precompiling packages... 1095.0 ms ✓ StatisticalTraits 5884.4 ms ✓ StatsBase 6117.5 ms ✓ SpecialFunctions 5203.8 ms ✓ MLJModelInterface 2420.4 ms ✓ PDMats → StatsBaseExt 1960.2 ms ✓ CategoricalArrays → CategoricalArraysStatsBaseExt 2803.6 ms ✓ HypergeometricFunctions 3130.6 ms ✓ StatsFuns 11009.3 ms ✓ Distributions 14108.0 ms ✓ EvoTrees 10 dependencies successfully precompiled in 56 seconds. 82 already precompiled. Precompilation completed after 61.03s ################################################################################ # Testing # Testing EvoTrees Status `/tmp/jl_I1zPpn/Project.toml` [fbb218c0] BSON v0.3.9 ⌃ [052768ef] CUDA v5.8.5 [324d7699] CategoricalArrays v1.0.2 [a93c6f00] DataFrames v1.8.1 [31c24e10] Distributions v0.25.122 [f6006082] EvoTrees v0.18.0 [a7f614a8] MLJBase v1.10.0 [e80e1ace] MLJModelInterface v1.12.0 [72560011] MLJTestInterface v0.2.9 [46757867] NetworkLayout v0.4.10 [3cdcf5f2] RecipesBase v1.3.4 [10745b16] Statistics v1.11.1 [2913bbd2] StatsBase v0.34.7 [bd369af6] Tables v1.12.1 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_I1zPpn/Manifest.toml` [621f4979] AbstractFFTs v1.5.0 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [a9b6321e] Atomix v1.1.2 ⌅ [ab4f0b2a] BFloat16s v0.5.1 [fbb218c0] BSON v0.3.9 [198e06fe] BangBang v0.4.6 [9718e550] Baselet v0.1.1 [fa961155] CEnum v0.5.0 ⌃ [052768ef] CUDA v5.8.5 [1af6417a] CUDA_Runtime_Discovery v1.0.0 [324d7699] CategoricalArrays v1.0.2 [af321ab8] CategoricalDistributions v0.2.0 [d360d2e6] ChainRulesCore v1.26.0 [3da002f7] ColorTypes v0.12.1 [5ae59095] Colors v0.13.1 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [187b0558] ConstructionBase v1.6.0 [6add18c4] ContextVariablesX v0.1.3 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.1 [864edb3b] DataStructures v0.19.2 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [31c24e10] Distributions v0.25.122 [ffbed154] DocStringExtensions v0.9.5 [f6006082] EvoTrees v0.18.0 [e2ba6199] ExprTools v0.1.10 [411431e0] Extents v0.1.6 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [1a297f60] FillArrays v1.14.0 [53c48c17] FixedPointNumbers v0.8.5 [0c68f7d7] GPUArrays v11.2.6 [46192b85] GPUArraysCore v0.2.0 [61eb1bfa] GPUCompiler v1.7.2 ⌅ [096a3bc2] GPUToolbox v0.3.0 [5c1252a2] GeometryBasics v0.5.10 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings v1.4.5 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.1 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.39 [929cbde3] LLVM v9.4.4 [8b046642] LLVMLoopInfo v1.0.0 [b964fa9f] LaTeXStrings v1.4.0 [92ad9a40] LearnAPI v2.0.1 [2ab3a3ac] LogExpFunctions v0.3.29 [c2834f40] MLCore v1.0.0 [a7f614a8] MLJBase v1.10.0 [e80e1ace] MLJModelInterface v1.12.0 [72560011] MLJTestInterface v0.2.9 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [1914dd2f] MacroTools v0.5.16 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [872c559c] NNlib v0.9.31 [5da4648a] NVTX v1.0.1 [71a1bf82] NameResolution v0.1.5 [46757867] NetworkLayout v0.4.10 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.36 [d96e819e] Parameters v0.12.3 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.0 [8162dcfd] PrettyPrint v0.2.0 ⌅ [08abe8d2] PrettyTables v2.4.0 [92933f4c] ProgressMeter v1.11.0 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [74087812] Random123 v1.7.1 [e6cf234a] RandomNumbers v1.6.0 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.9.0 [321657f4] ScientificTypes v3.1.1 [30f210dd] ScientificTypesBase v3.0.0 [7e506255] ScopedValues v1.5.0 [6c6a2e73] Scratch v1.3.0 [91c51154] SentinelArrays v1.4.8 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 [699a6c99] SimpleTraits v0.9.5 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.6.1 [171d559e] SplittablesBase v0.1.15 [90137ffa] StaticArrays v1.9.15 [1e83bf80] StaticArraysCore v1.4.4 [c062fc1d] StatisticalMeasuresBase v0.1.3 [64bff920] StatisticalTraits v3.5.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.7 [4c63d2b9] StatsFuns v1.5.2 [892a3eda] StringManipulation v0.4.1 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [e689c965] Tracy v0.1.6 [28d57a85] Transducers v0.4.85 [3a884ed6] UnPack v1.0.2 [013be700] UnsafeAtomics v0.3.0 ⌅ [d1e2174e] CUDA_Compiler_jll v0.2.2+0 [4ee394cb] CUDA_Driver_jll v13.0.2+0 [76a88914] CUDA_Runtime_jll v0.19.2+0 [5ae413db] EarCut_jll v2.2.4+0 [9c1d0b0a] JuliaNVTXCallbacks_jll v0.2.1+0 [dad2f222] LLVMExtra_jll v0.0.38+0 [ad6e5548] LibTracyClient_jll v0.9.1+6 [e98f9f5b] NVTX_jll v3.2.2+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [1e29f10c] demumble_jll v1.3.0+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 v1.12.0 [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 v1.13.0 [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 v1.11.0 [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 v8.16.0+0 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.9.9 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.4+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.67.1+0 [3f19e933] p7zip_jll v17.6.0+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... ┌ Info: initialization └ metric = 0.12850541855989803 ┌ Info: iter 100 └ metric = 0.020586806115056505 ┌ Info: initialization └ metric = 0.6720977827906609 ┌ Info: iter 100 └ metric = 0.41500139847397804 ┌ Info: initialization └ metric = 1.4709549355506897 ┌ Info: iter 100 └ metric = 0.30652851581573487 ┌ Info: initialization └ metric = 0.5471089428663254 ┌ Info: iter 100 └ metric = 0.1015639290213585 ┌ Info: initialization └ metric = 0.32020851522684096 ┌ Info: iter 100 └ metric = 0.09854824658716098 ┌ Info: initialization └ metric = 0.16010425761342048 ┌ Info: iter 100 └ metric = 0.048653219740954226 ┌ Info: initialization └ metric = 0.2957647952437401 ┌ Info: iter 100 └ metric = 0.057167770974338054 ┌ Info: initialization └ metric = 0.5254025399684906 ┌ Info: iter 100 └ metric = 1.542201606631279 ┌ Info: initialization └ metric = -1.7957830564654431 ┌ Info: iter 100 └ metric = -0.34756237962283193 ┌ Info: initialization └ metric = 0.5254025399684906 ┌ Info: iter 100 └ metric = 1.542201606631279 ┌ Info: initialization └ metric = 0.12850541855989803 ┌ Info: iter 100 └ metric = 0.020005234291172104 ┌ Info: initialization └ metric = 0.6720977827906609 ┌ Info: iter 100 └ metric = 0.40855033034458754 ┌ Info: initialization └ metric = 0.16010425761342048 ┌ Info: iter 100 └ metric = 0.04747869807993993 ┌ Info: initialization └ metric = 0.32020851522684096 ┌ Info: iter 100 └ metric = 0.10474284524098039 ┌ Info: initialization └ metric = 1.4709549355506897 ┌ Info: iter 100 └ metric = 0.4580499792098999 ┌ Info: initialization └ metric = 0.5471089428663254 ┌ Info: iter 100 └ metric = 0.09478121124207974 ┌ Info: initialization └ metric = 0.2957647952437401 ┌ Info: iter 100 └ metric = 0.04735164218582213 ┌ Info: initialization └ metric = 0.5254025399684906 ┌ Info: iter 100 └ metric = 1.7726103961467743 ┌ Info: initialization └ metric = -1.7957830564654431 ┌ Info: iter 100 └ metric = -0.08164310291409492 ┌ Info: initialization └ metric = 0.6875359496474266 ┌ Info: iter 100 └ metric = 0.2744265696126968 [ Info: The following kwargs are not supported and will be ignored: [:rng]. ┌ Info: initialization └ metric = 0.12692690002214477 ┌ Info: iter 100 └ metric = 0.019048406252990303 ┌ Info: initialization └ metric = 0.12692690002214477 ┌ Info: iter 100 └ metric = 0.019048406252990303 ┌ Info: initialization └ metric = 0.020358958927368376 ┌ Info: iter 25 └ metric = 0.004354551716756802 ┌ Info: iter 50 └ metric = 0.0013779054525412172 ┌ Info: iter 75 └ metric = 0.0008226224227801744 ┌ Info: iter 100 └ metric = 0.000717223987180029 ┌ Info: iter 125 └ metric = 0.0006967858727962728 ┌ Info: iter 150 └ metric = 0.0006924868987033115 ┌ Info: iter 175 └ metric = 0.0006922727969312205 ┌ Info: iter 200 └ metric = 0.000691811320799955 ┌ Info: initialization └ metric = 0.020358958927368376 ┌ Info: iter 25 └ metric = 0.002413452079087179 ┌ Info: iter 50 └ metric = 0.002413393456967313 ┌ Info: iter 75 └ metric = 0.002413401265727577 ┌ Info: iter 100 └ metric = 0.0024140578427153995 ┌ Info: iter 125 └ metric = 0.00241252932812397 ┌ Info: iter 150 └ metric = 0.0024127947205751657 ┌ Info: iter 175 └ metric = 0.002412839571484124 ┌ Info: iter 200 └ metric = 0.0024128804636101985 ┌ Info: initialization └ metric = 0.40619069431722166 ┌ Info: iter 25 └ metric = 0.3440383803285658 ┌ Info: iter 50 └ metric = 0.3317569049652666 ┌ Info: iter 75 └ metric = 0.3280771786980331 ┌ Info: iter 100 └ metric = 0.32657449300400915 ┌ Info: iter 125 └ metric = 0.3258243259191513 ┌ Info: iter 150 └ metric = 0.3253974679573439 ┌ Info: iter 175 └ metric = 0.32513587322598325 ┌ Info: iter 200 └ metric = 0.32496200475143266 ┌ Info: initialization └ metric = 0.40619069431722166 ┌ Info: iter 25 └ metric = 0.35233301561698316 ┌ Info: iter 50 └ metric = 0.3438261608295143 ┌ Info: iter 75 └ metric = 0.34202522080019115 ┌ Info: iter 100 └ metric = 0.3415619240067899 ┌ Info: iter 125 └ metric = 0.3414139791727066 ┌ Info: iter 150 └ metric = 0.34136393627710643 ┌ Info: iter 175 └ metric = 0.34133876937814056 ┌ Info: iter 200 └ metric = 0.34132835835404696 [ Info: The following kwargs are not supported and will be ignored: [:metric]. ┌ Info: initialization └ metric = 1.4467687221169472 ┌ Info: iter 25 └ metric = 2.3827904568314553 ┌ Info: iter 50 └ metric = 2.9953002026081084 ┌ Info: iter 75 └ metric = 3.4027460672855376 ┌ Info: iter 100 └ metric = 3.643416915535927 ┌ Info: iter 125 └ metric = 3.7723346843719483 ┌ Info: iter 150 └ metric = 3.8455063821077347 ┌ Info: iter 175 └ metric = 3.8814472606778145 ┌ Info: iter 200 └ metric = 3.8921759511232374 ┌ Info: initialization └ metric = 1.4467687221169472 ┌ Info: iter 25 └ metric = 2.6948110268712044 ┌ Info: iter 50 └ metric = 2.694456686615944 ┌ Info: iter 75 └ metric = 2.694676850318909 ┌ Info: iter 100 └ metric = 2.6944099702239037 ┌ Info: iter 125 └ metric = 2.6948340318202972 ┌ Info: iter 150 └ metric = 2.694704336643219 ┌ Info: iter 175 └ metric = 2.6946051243543625 ┌ Info: iter 200 └ metric = 2.694557621538639 ┌ Info: initialization └ metric = 0.006764594764525853 ┌ Warning: Ignoring value of `pool` as the specified support defines one already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:387 ┌ Warning: Ignoring value of `ordered` as the specified support defines an order already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:391 ┌ Warning: Ignoring value of `pool` as the specified support defines one already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:387 ┌ Warning: Ignoring value of `ordered` as the specified support defines an order already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:391 ┌ Warning: Ignoring value of `pool` as the specified support defines one already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:387 ┌ Warning: Ignoring value of `ordered` as the specified support defines an order already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:391 ┌ Warning: Ignoring value of `pool` as the specified support defines one already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:387 ┌ Warning: Ignoring value of `ordered` as the specified support defines an order already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:391 ┌ Warning: Ignoring value of `pool` as the specified support defines one already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:387 ┌ Warning: Ignoring value of `ordered` as the specified support defines an order already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:391 ┌ Warning: Ignoring value of `pool` as the specified support defines one already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:387 ┌ Warning: Ignoring value of `ordered` as the specified support defines an order already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:391 ┌ Info: Training machine(EvoTreeRegressor │ - loss: logloss │ - metric: logloss │ - nrounds: 10 │ - bagging_size: 1 │ - early_stopping_rounds: 9223372036854775807 │ - L2: 1.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.05 │ - max_depth: 5 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - seed: 123 │ - device: cpu └ , …). ┌ Info: Updating machine(EvoTreeRegressor │ - loss: logloss │ - metric: logloss │ - nrounds: 20 │ - bagging_size: 1 │ - early_stopping_rounds: 9223372036854775807 │ - L2: 1.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.05 │ - max_depth: 5 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - seed: 123 │ - device: cpu └ , …). ┌ Info: Training machine(EvoTreeClassifier │ - loss: mlogloss │ - metric: mlogloss │ - nrounds: 10 │ - bagging_size: 1 │ - early_stopping_rounds: 9223372036854775807 │ - L2: 1.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.05 │ - max_depth: 4 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - tree_type: binary │ - seed: 123 │ - device: cpu └ , …). ┌ Info: Updating machine(EvoTreeClassifier │ - loss: mlogloss │ - metric: mlogloss │ - nrounds: 60 │ - bagging_size: 1 │ - early_stopping_rounds: 9223372036854775807 │ - L2: 1.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.05 │ - max_depth: 4 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - tree_type: binary │ - seed: 123 │ - device: cpu └ , …). ┌ Warning: Ignoring value of `pool` as the specified support defines one already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:387 ┌ Warning: Ignoring value of `ordered` as the specified support defines an order already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:391 ┌ Warning: Ignoring value of `pool` as the specified support defines one already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:387 ┌ Warning: Ignoring value of `ordered` as the specified support defines an order already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:391 ┌ Warning: Ignoring value of `pool` as the specified support defines one already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:387 ┌ Warning: Ignoring value of `ordered` as the specified support defines an order already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:391 ┌ Warning: Ignoring value of `pool` as the specified support defines one already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:387 ┌ Warning: Ignoring value of `ordered` as the specified support defines an order already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:391 ┌ Warning: Ignoring value of `pool` as the specified support defines one already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:387 ┌ Warning: Ignoring value of `ordered` as the specified support defines an order already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:391 [ Info: The following kwargs are not supported and will be ignored: [:loss, :metric]. ┌ Info: Training machine(EvoTreeCount │ - loss: poisson │ - metric: poisson │ - nrounds: 10 │ - bagging_size: 1 │ - early_stopping_rounds: 9223372036854775807 │ - L2: 1.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 0.5 │ - colsample: 0.5 │ - nbins: 32 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - seed: 123 │ - device: cpu └ , …). ┌ Info: Updating machine(EvoTreeCount │ - loss: poisson │ - metric: poisson │ - nrounds: 20 │ - bagging_size: 1 │ - early_stopping_rounds: 9223372036854775807 │ - L2: 1.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 0.5 │ - colsample: 0.5 │ - nbins: 32 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - seed: 123 │ - device: cpu └ , …). ┌ Info: Training machine(EvoTreeGaussian │ - loss: gaussian_mle │ - metric: gaussian_mle │ - nrounds: 10 │ - bagging_size: 1 │ - early_stopping_rounds: 9223372036854775807 │ - L2: 1.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 0.5 │ - colsample: 0.5 │ - nbins: 32 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - seed: 123 │ - device: cpu └ , …). ┌ Info: Updating machine(EvoTreeGaussian │ - loss: gaussian_mle │ - metric: gaussian_mle │ - nrounds: 20 │ - bagging_size: 1 │ - early_stopping_rounds: 9223372036854775807 │ - L2: 1.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 0.5 │ - colsample: 0.5 │ - nbins: 32 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - seed: 123 │ - device: cpu └ , …). ┌ Info: Training machine(EvoTreeMLE │ - loss: logistic_mle │ - metric: logistic_mle │ - nrounds: 10 │ - bagging_size: 1 │ - early_stopping_rounds: 9223372036854775807 │ - L2: 1.0 │ - lambda: 1.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 32.0 │ - rowsample: 0.5 │ - colsample: 0.5 │ - nbins: 32 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - seed: 123 │ - device: cpu └ , …). ┌ Info: Updating machine(EvoTreeMLE │ - loss: logistic_mle │ - metric: logistic_mle │ - nrounds: 20 │ - bagging_size: 1 │ - early_stopping_rounds: 9223372036854775807 │ - L2: 1.0 │ - lambda: 1.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 32.0 │ - rowsample: 0.5 │ - colsample: 0.5 │ - nbins: 32 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - seed: 123 │ - device: cpu └ , …). ┌ Info: Training machine(EvoTreeClassifier │ - loss: mlogloss │ - metric: mlogloss │ - nrounds: 100 │ - bagging_size: 1 │ - early_stopping_rounds: 9223372036854775807 │ - L2: 1.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - tree_type: binary │ - seed: 123 │ - device: cpu └ , …). ┌ Info: Training machine(EvoTreeRegressor │ - loss: mse │ - metric: mse │ - nrounds: 100 │ - bagging_size: 1 │ - early_stopping_rounds: 9223372036854775807 │ - L2: 1.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - seed: 123 │ - device: cpu └ , …). ┌ Info: Training machine(EvoTreeRegressor │ - loss: logloss │ - metric: logloss │ - nrounds: 10 │ - bagging_size: 1 │ - early_stopping_rounds: 9223372036854775807 │ - L2: 1.0 │ - lambda: 1.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 32.0 │ - rowsample: 0.5 │ - colsample: 0.5 │ - nbins: 32 │ - alpha: 0.5 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - seed: 123 │ - device: cpu └ , …). ┌ Info: Updating machine(EvoTreeRegressor │ - loss: logloss │ - metric: logloss │ - nrounds: 20 │ - bagging_size: 1 │ - early_stopping_rounds: 9223372036854775807 │ - L2: 1.0 │ - lambda: 1.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 32.0 │ - rowsample: 0.5 │ - colsample: 0.5 │ - nbins: 32 │ - alpha: 0.5 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - seed: 123 │ - device: cpu └ , …). ┌ Info: Training machine(EvoTreeRegressor │ - loss: mse │ - metric: mse │ - nrounds: 100 │ - bagging_size: 1 │ - early_stopping_rounds: 9223372036854775807 │ - L2: 1.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - seed: 123 │ - device: cpu └ , …). ┌ Info: Not retraining machine(EvoTreeRegressor │ - loss: mse │ - metric: mse │ - nrounds: 100 │ - bagging_size: 1 │ - early_stopping_rounds: 9223372036854775807 │ - L2: 1.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - seed: 123 │ - device: cpu └ , …). Use `force=true` to force. ┌ Info: Training machine(EvoTreeRegressor │ - loss: mse │ - metric: mse │ - nrounds: 100 │ - bagging_size: 1 │ - early_stopping_rounds: 9223372036854775807 │ - L2: 1.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - seed: 123 │ - device: cpu └ , …). ┌ Info: Not retraining machine(EvoTreeRegressor │ - loss: mse │ - metric: mse │ - nrounds: 100 │ - bagging_size: 1 │ - early_stopping_rounds: 9223372036854775807 │ - L2: 1.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - alpha: 0.5 │ - monotone_constraints: Dict{Int64, Int64}() │ - tree_type: binary │ - seed: 123 │ - device: cpu └ , …). Use `force=true` to force. ┌ Info: Training machine(EvoTreeClassifier │ - loss: mlogloss │ - metric: mlogloss │ - nrounds: 100 │ - bagging_size: 1 │ - early_stopping_rounds: 9223372036854775807 │ - L2: 1.0 │ - lambda: 0.0 │ - gamma: 0.0 │ - eta: 0.1 │ - max_depth: 6 │ - min_weight: 1.0 │ - rowsample: 1.0 │ - colsample: 1.0 │ - nbins: 64 │ - tree_type: binary │ - seed: 123 │ - device: cpu └ , …). ┌ Warning: Ignoring value of `pool` as the specified support defines one already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:387 ┌ Warning: Ignoring value of `ordered` as the specified support defines an order already. └ @ CategoricalDistributions ~/.julia/packages/CategoricalDistributions/nbobT/src/types.jl:391 Test Summary: | Pass Total Time EvoTrees | 87 87 13m38.8s Testing EvoTrees tests passed Testing completed after 855.83s PkgEval succeeded after 960.7s