Package evaluation of MLJScikitLearnInterface on Julia 1.13.0-DEV.443 (8a8e3d1f98*) started at 2025-04-29T01:34:58.704 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 7.76s ################################################################################ # Installation # Installing MLJScikitLearnInterface... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [5ae90465] + MLJScikitLearnInterface v0.7.0 Updating `~/.julia/environments/v1.13/Manifest.toml` [992eb4ea] + CondaPkg v0.2.28 [9a962f9c] + DataAPI v1.16.0 [e2d170a0] + DataValueInterfaces v1.0.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.0 [0f8b85d8] + JSON3 v1.14.2 [e80e1ace] + MLJModelInterface v1.11.1 [5ae90465] + MLJScikitLearnInterface v0.7.0 [1914dd2f] + MacroTools v0.5.16 [0b3b1443] + MicroMamba v0.1.14 [bac558e1] + OrderedCollections v1.8.0 [69de0a69] + Parsers v2.8.3 [fa939f87] + Pidfile v1.3.0 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [6099a3de] + PythonCall v0.9.24 [ae029012] + Requires v1.3.1 [30f210dd] + ScientificTypesBase v3.0.0 [6c6a2e73] + Scratch v1.2.1 [64bff920] + StatisticalTraits v3.4.0 [10745b16] + Statistics v1.11.1 [856f2bd8] + StructTypes v1.11.0 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [e17b2a0c] + UnsafePointers v1.0.0 [f8abcde7] + micromamba_jll v1.5.8+0 [4d7b5844] + pixi_jll v0.41.3+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 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.12.0 [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 [f489334b] + StyledStrings v1.11.0 [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 v8.12.1+1 [e37daf67] + LibGit2_jll v1.9.0+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2024.12.31 [4536629a] + OpenBLAS_jll v0.3.29+0 [458c3c95] + OpenSSL_jll v3.0.16+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.12.0+0 [8e850ede] + nghttp2_jll v1.65.0+0 [3f19e933] + p7zip_jll v17.5.0+2 Installation completed after 3.48s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 81.16s ################################################################################ # Testing # Testing MLJScikitLearnInterface Status `/tmp/jl_uMJeXr/Project.toml` [4c88cf16] Aqua v0.8.11 [a7f614a8] MLJBase v1.8.1 [e80e1ace] MLJModelInterface v1.11.1 [5ae90465] MLJScikitLearnInterface v0.7.0 [72560011] MLJTestInterface v0.2.8 [6099a3de] PythonCall v0.9.24 [860ef19b] StableRNGs v1.0.2 [10745b16] Statistics v1.11.1 [bd369af6] Tables v1.12.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_uMJeXr/Manifest.toml` [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.11 [dce04be8] ArgCheck v2.5.0 [a9b6321e] Atomix v1.1.1 [198e06fe] BangBang v0.4.4 [9718e550] Baselet v0.1.1 [324d7699] CategoricalArrays v0.10.8 [af321ab8] CategoricalDistributions v0.1.15 [d360d2e6] ChainRulesCore v1.25.1 [3da002f7] ColorTypes v0.12.1 [34da2185] Compat v4.16.0 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [992eb4ea] CondaPkg v0.2.28 [187b0558] ConstructionBase v1.5.8 [6add18c4] ContextVariablesX v0.1.3 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [31c24e10] Distributions v0.25.119 [ffbed154] DocStringExtensions v0.9.4 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [1a297f60] FillArrays v1.13.0 [53c48c17] FixedPointNumbers v0.8.5 [46192b85] GPUArraysCore v0.2.0 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [22cec73e] InitialValues v0.3.1 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.0 [0f8b85d8] JSON3 v1.14.2 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.34 [b964fa9f] LaTeXStrings v1.4.0 [92ad9a40] LearnAPI v1.0.1 [2ab3a3ac] LogExpFunctions v0.3.29 [c2834f40] MLCore v1.0.0 [a7f614a8] MLJBase v1.8.1 [e80e1ace] MLJModelInterface v1.11.1 [5ae90465] MLJScikitLearnInterface v0.7.0 [72560011] MLJTestInterface v0.2.8 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [1914dd2f] MacroTools v0.5.16 [128add7d] MicroCollections v0.2.0 [0b3b1443] MicroMamba v0.1.14 [e1d29d7a] Missings v1.2.0 [872c559c] NNlib v0.9.30 [71a1bf82] NameResolution v0.1.5 [bac558e1] OrderedCollections v1.8.0 [90014a1f] PDMats v0.11.34 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 [fa939f87] Pidfile v1.3.0 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.4.3 [8162dcfd] PrettyPrint v0.2.0 [08abe8d2] PrettyTables v2.4.0 [92933f4c] ProgressMeter v1.10.4 [43287f4e] PtrArrays v1.3.0 [6099a3de] PythonCall v0.9.24 [1fd47b50] QuadGK v2.11.2 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.8.0 [321657f4] ScientificTypes v3.1.0 [30f210dd] ScientificTypesBase v3.0.0 [7e506255] ScopedValues v1.3.0 [6c6a2e73] Scratch v1.2.1 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 [699a6c99] SimpleTraits v0.9.4 [a2af1166] SortingAlgorithms v1.2.1 [276daf66] SpecialFunctions v2.5.1 [171d559e] SplittablesBase v0.1.15 [860ef19b] StableRNGs v1.0.2 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [c062fc1d] StatisticalMeasuresBase v0.1.2 [64bff920] StatisticalTraits v3.4.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.0 [2913bbd2] StatsBase v0.34.4 [4c63d2b9] StatsFuns v1.5.0 [892a3eda] StringManipulation v0.4.1 [856f2bd8] StructTypes v1.11.0 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.0 [28d57a85] Transducers v0.4.84 [3a884ed6] UnPack v1.0.2 [013be700] UnsafeAtomics v0.3.0 [e17b2a0c] UnsafePointers v1.0.0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [f8abcde7] micromamba_jll v1.5.8+0 [4d7b5844] pixi_jll v0.41.3+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.12.0 [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 v8.12.1+1 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2024.12.31 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.0.16+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.12.0+0 [8e850ede] nghttp2_jll v1.65.0+0 [3f19e933] p7zip_jll v17.5.0+2 Testing Running tests... CondaPkg Found dependencies: /home/pkgeval/.julia/packages/MLJScikitLearnInterface/xHP4R/CondaPkg.toml CondaPkg Found dependencies: /home/pkgeval/.julia/packages/PythonCall/WMWY0/CondaPkg.toml CondaPkg Resolving changes + openssl + python + scikit-learn CondaPkg Initialising pixi │ /home/pkgeval/.julia/artifacts/cefba4912c2b400756d043a2563ef77a0088866b/bin/pixi │ init │ --format pixi └ /tmp/jl_uMJeXr/.CondaPkg ✔ Created /tmp/jl_uMJeXr/.CondaPkg/pixi.toml CondaPkg Wrote /tmp/jl_uMJeXr/.CondaPkg/pixi.toml │ [dependencies] │ openssl = ">=3, <3.1" │ │ [dependencies.scikit-learn] │ channel = "conda-forge" │ version = ">=1.4, <1.6" │ │ [dependencies.python] │ channel = "conda-forge" │ build = "*cpython*" │ version = ">=3.8,<4" │ │ [project] │ name = ".CondaPkg" │ platforms = ["linux-64"] │ channels = ["conda-forge"] │ channel-priority = "strict" └ description = "automatically generated by CondaPkg.jl" CondaPkg Installing packages │ /home/pkgeval/.julia/artifacts/cefba4912c2b400756d043a2563ef77a0088866b/bin/pixi │ install └ --manifest-path /tmp/jl_uMJeXr/.CondaPkg/pixi.toml ✔ The default environment has been installed. Precompiling packages... 4108.2 ms ✓ MLCore 30189.0 ms ✓ PrettyTables 19317.8 ms ✓ Transducers 3024.9 ms ✓ Accessors → StaticArraysExt 3078.7 ms ✓ BangBang → BangBangStaticArraysExt 4153.9 ms ✓ CategoricalArrays → CategoricalArraysRecipesBaseExt 10812.1 ms ✓ KernelAbstractions 11041.1 ms ✓ Distributions 3123.8 ms ✓ Transducers → TransducersAdaptExt 16421.5 ms ✓ FLoops 3392.0 ms ✓ KernelAbstractions → SparseArraysExt 2953.0 ms ✓ KernelAbstractions → LinearAlgebraExt 3606.7 ms ✓ Distributions → DistributionsTestExt 3306.9 ms ✓ Distributions → DistributionsChainRulesCoreExt 13653.5 ms ? ScientificTypes 11788.6 ms ✓ NNlib 12116.5 ms ✓ CategoricalDistributions 2754.2 ms ✓ NNlib → NNlibSpecialFunctionsExt 22757.9 ms ✓ MLUtils 18775.5 ms ✓ StatisticalMeasuresBase 30462.7 ms ✓ MLJBase 20 dependencies successfully precompiled in 232 seconds. 125 already precompiled. 1 dependencies failed but may be precompilable after restarting julia 1 dependency had output during precompilation: ┌ ScientificTypes │ WARNING: Method definition kwcall(NamedTuple{names, T} where T<:Tuple where names, typeof(Statistics.cov), SparseArrays.SparseMatrixCSC{Tv, Ti} where Ti<:Integer where Tv) in module SparseArraysExt at /home/pkgeval/.julia/packages/Statistics/gbcbG/ext/SparseArraysExt.jl:14 overwritten in module SparseArraysExt on the same line (check for duplicate calls to `include`). │ ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. └ Precompiling packages... 3126.1 ms ✓ CategoricalArrays → CategoricalArraysStructTypesExt 1 dependency successfully precompiled in 3 seconds. 11 already precompiled. Test Summary: | Pass Total Time reg-mdl | 7 7 1.6s Test Summary: | Pass Total Time clf-mdl | 7 7 0.2s linear-regressors /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/linear_model/_ridge.py:2341: FutureWarning: 'store_cv_values' is deprecated in version 1.5 and will be removed in 1.7. Use 'store_cv_results' instead. warnings.warn( Test Summary: | Pass Total Time Fit/Predict | 38 38 23.6s Test Summary: | Pass Total Time Docstrings | 21 21 5.8s linear-regressors-multi Test Summary: | Pass Total Time Fit/Predict | 8 8 3.6s Test Summary: | Pass Total Time Docstrings | 4 4 0.7s linear-classifiers /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/linear_model/_logistic.py:1247: FutureWarning: 'multi_class' was deprecated in version 1.5 and will be removed in 1.7. From then on, it will always use 'multinomial'. Leave it to its default value to avoid this warning. warnings.warn( /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/linear_model/_logistic.py:1905: FutureWarning: 'multi_class' was deprecated in version 1.5 and will be removed in 1.7. From then on, it will always use 'multinomial'. Leave it to its default value to avoid this warning. warnings.warn( /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/linear_model/_ridge.py:2341: FutureWarning: 'store_cv_values' is deprecated in version 1.5 and will be removed in 1.7. Use 'store_cv_results' instead. warnings.warn( Test Summary: | Pass Total Time Fit/Predict | 16 16 30.9s Test Summary: | Pass Total Time Docstrings | 8 8 1.7s discriminant-analysis Test Summary: | Pass Total Time Fit/Predict | 4 4 1.4s Test Summary: | Pass Total Time Docstrings | 2 2 0.4s gaussian-process Test Summary: | Pass Total Time Fit/Predict | 3 3 1.0s Test Summary: | Pass Total Time Docstrings | 2 2 0.3s ensemble /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/ensemble/_weight_boosting.py:527: FutureWarning: The SAMME.R algorithm (the default) is deprecated and will be removed in 1.6. Use the SAMME algorithm to circumvent this warning. warnings.warn( Test Summary: | Pass Total Time Fit/Predict | 12 12 3.9s Test Summary: | Pass Total Time Docstrings | 6 6 0.6s Test Summary: | Pass Total Time Fit/Predict | 12 12 2.3s clustering Test Summary: | Pass Total Time Fit/predict | 12 12 7.5s Test Summary: | Pass Total Time Docstrings | 12 12 0.8s Test Summary: | Pass Total Time Scitypes | 12 12 0.1s Test Summary: | Pass Total Time Fit/predict/transform | 8 8 0.3s Test Summary: | Pass Total Time Docstrings | 2 2 0.0s Test Summary: | Pass Total Time Scitypes | 6 6 0.0s Test Summary: | Pass Total Time Fit/predict/transform | 8 8 0.2s Test Summary: | Pass Total Time Docstrings | 2 2 0.0s Test Summary: | Pass Total Time Scitypes | 5 5 0.0s Test Summary: | Pass Total Time Fit | 4 4 0.0s Test Summary: | Pass Total Time Docstrings | 2 2 0.0s Test Summary: | Pass Total Time Scitypes | 2 2 0.0s feature importance tests /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/linear_model/_ridge.py:2341: FutureWarning: 'store_cv_values' is deprecated in version 1.5 and will be removed in 1.7. Use 'store_cv_results' instead. warnings.warn( Test Summary: | Pass Total Time Regression Feature Importance | 25 25 9.9s Test Summary: | Pass Total Time Multi-Task Regression Feature Importance | 4 4 0.8s generic interface tests Precompiling packages... 16450.6 ms ✓ MLJTestInterface 1 dependency successfully precompiled in 17 seconds. 162 already precompiled. /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/linear_model/_ridge.py:2341: FutureWarning: 'store_cv_values' is deprecated in version 1.5 and will be removed in 1.7. Use 'store_cv_results' instead. warnings.warn( /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/linear_model/_ridge.py:2341: FutureWarning: 'store_cv_values' is deprecated in version 1.5 and will be removed in 1.7. Use 'store_cv_results' instead. warnings.warn( /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/linear_model/_ridge.py:2341: FutureWarning: 'store_cv_values' is deprecated in version 1.5 and will be removed in 1.7. Use 'store_cv_results' instead. warnings.warn( /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/linear_model/_ridge.py:2341: FutureWarning: 'store_cv_values' is deprecated in version 1.5 and will be removed in 1.7. Use 'store_cv_results' instead. warnings.warn( /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/linear_model/_ridge.py:2341: FutureWarning: 'store_cv_values' is deprecated in version 1.5 and will be removed in 1.7. Use 'store_cv_results' instead. warnings.warn( /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/linear_model/_ridge.py:2341: FutureWarning: 'store_cv_values' is deprecated in version 1.5 and will be removed in 1.7. Use 'store_cv_results' instead. warnings.warn( /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/ensemble/_weight_boosting.py:527: FutureWarning: The SAMME.R algorithm (the default) is deprecated and will be removed in 1.6. Use the SAMME algorithm to circumvent this warning. warnings.warn( /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/ensemble/_weight_boosting.py:527: FutureWarning: The SAMME.R algorithm (the default) is deprecated and will be removed in 1.6. Use the SAMME algorithm to circumvent this warning. warnings.warn( /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/ensemble/_weight_boosting.py:527: FutureWarning: The SAMME.R algorithm (the default) is deprecated and will be removed in 1.6. Use the SAMME algorithm to circumvent this warning. warnings.warn( /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/linear_model/_ridge.py:2341: FutureWarning: 'store_cv_values' is deprecated in version 1.5 and will be removed in 1.7. Use 'store_cv_results' instead. warnings.warn( /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/linear_model/_ridge.py:2341: FutureWarning: 'store_cv_values' is deprecated in version 1.5 and will be removed in 1.7. Use 'store_cv_results' instead. warnings.warn( /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/linear_model/_ridge.py:2341: FutureWarning: 'store_cv_values' is deprecated in version 1.5 and will be removed in 1.7. Use 'store_cv_results' instead. warnings.warn( /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/ensemble/_weight_boosting.py:527: FutureWarning: The SAMME.R algorithm (the default) is deprecated and will be removed in 1.6. Use the SAMME algorithm to circumvent this warning. warnings.warn( /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/ensemble/_weight_boosting.py:527: FutureWarning: The SAMME.R algorithm (the default) is deprecated and will be removed in 1.6. Use the SAMME algorithm to circumvent this warning. warnings.warn( /tmp/jl_uMJeXr/.CondaPkg/.pixi/envs/default/lib/python3.11/site-packages/sklearn/ensemble/_weight_boosting.py:527: FutureWarning: The SAMME.R algorithm (the default) is deprecated and will be removed in 1.6. Use the SAMME algorithm to circumvent this warning. warnings.warn( Test Summary: | Pass Total Time generic interface tests | 4 4 6m15.6s Extra tests from bug reports Test Summary: | Pass Total Time i10 | 1 1 0.0s ┌ Warning: Model fitting skipped: Only one class present in the target data. └ @ MLJScikitLearnInterface ~/.julia/packages/MLJScikitLearnInterface/xHP4R/src/macros.jl:193 ┌ Warning: Model fitting skipped: Only one class present in the target data. └ @ MLJScikitLearnInterface ~/.julia/packages/MLJScikitLearnInterface/xHP4R/src/macros.jl:193 ┌ Warning: Model fitting skipped: Only one class present in the target data. └ @ MLJScikitLearnInterface ~/.julia/packages/MLJScikitLearnInterface/xHP4R/src/macros.jl:193 ┌ Warning: Model fitting skipped: Only one class present in the target data. └ @ MLJScikitLearnInterface ~/.julia/packages/MLJScikitLearnInterface/xHP4R/src/macros.jl:193 ┌ Warning: Model fitting skipped: Only one class present in the target data. └ @ MLJScikitLearnInterface ~/.julia/packages/MLJScikitLearnInterface/xHP4R/src/macros.jl:193 ┌ Warning: Model fitting skipped: Only one class present in the target data. └ @ MLJScikitLearnInterface ~/.julia/packages/MLJScikitLearnInterface/xHP4R/src/macros.jl:193 ┌ Warning: Model fitting skipped: Only one class present in the target data. └ @ MLJScikitLearnInterface ~/.julia/packages/MLJScikitLearnInterface/xHP4R/src/macros.jl:193 ┌ Warning: Model fitting skipped: Only one class present in the target data. └ @ MLJScikitLearnInterface ~/.julia/packages/MLJScikitLearnInterface/xHP4R/src/macros.jl:193 ┌ Warning: Model fitting skipped: Only one class present in the target data. └ @ MLJScikitLearnInterface ~/.julia/packages/MLJScikitLearnInterface/xHP4R/src/macros.jl:193 ┌ Warning: Model fitting skipped: Only one class present in the target data. └ @ MLJScikitLearnInterface ~/.julia/packages/MLJScikitLearnInterface/xHP4R/src/macros.jl:193 ┌ Warning: Model fitting skipped: Only one class present in the target data. └ @ MLJScikitLearnInterface ~/.julia/packages/MLJScikitLearnInterface/xHP4R/src/macros.jl:193 ┌ Warning: Model fitting skipped: Only one class present in the target data. └ @ MLJScikitLearnInterface ~/.julia/packages/MLJScikitLearnInterface/xHP4R/src/macros.jl:193 Test Summary: | Pass Total Time i48 | 12 12 2.3s Test Summary: | Pass Total Time i63 | 1 1 0.8s Test Summary: | Pass Total Time Unbound type parameters | 1 1 0.1s Test Summary: | Pass Total Time Undefined exports | 1 1 0.0s Test Summary: | Pass Total Time Compare Project.toml and test/Project.toml | 1 1 0.0s Test Summary: | Pass Total Time Stale dependencies | 1 1 26.9s Test Summary: | Pass Total Time Compat bounds | 4 4 0.8s Test Summary: | Pass Total Time Piracy | 1 1 0.4s Test Summary: | Pass Total Time Persistent tasks | 1 1 55.6s Testing MLJScikitLearnInterface tests passed Testing completed after 923.76s PkgEval succeeded after 1063.9s