Package evaluation of OutlierDetectionPython on Julia 1.11.4 (a71dd056e0*) started at 2025-04-08T11:59:44.656 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 7.95s ################################################################################ # Installation # Installing OutlierDetectionPython... Resolving package versions... Updating `~/.julia/environments/v1.11/Project.toml` [2449c660] + OutlierDetectionPython v0.2.4 Updating `~/.julia/environments/v1.11/Manifest.toml` [324d7699] + CategoricalArrays v0.10.8 [992eb4ea] + CondaPkg v0.2.27 [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 v1.11.0 [1914dd2f] + MacroTools v0.5.15 [0b3b1443] + MicroMamba v0.1.14 [e1d29d7a] + Missings v1.2.0 [bac558e1] + OrderedCollections v1.8.0 [1722ece6] + OutlierDetectionInterface v0.2.1 [2449c660] + OutlierDetectionPython v0.2.4 [69de0a69] + Parsers v2.8.1 [fa939f87] + Pidfile v1.3.0 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [6099a3de] + PythonCall v0.9.24 [189a3867] + Reexport v1.2.2 [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 v1.6.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization 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 v1.1.1+0 [deac9b47] + LibCURL_jll v8.6.0+0 [e37daf67] + LibGit2_jll v1.7.2+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.6+0 [14a3606d] + MozillaCACerts_jll v2023.12.12 [4536629a] + OpenBLAS_jll v0.3.27+1 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 [8e850ede] + nghttp2_jll v1.59.0+0 [3f19e933] + p7zip_jll v17.4.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 4.58s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 81.88s ################################################################################ # Testing # Testing OutlierDetectionPython Status `/tmp/jl_XeWHfw/Project.toml` [1722ece6] OutlierDetectionInterface v0.2.1 [2449c660] OutlierDetectionPython v0.2.4 [66620973] OutlierDetectionTest v0.3.1 [6099a3de] PythonCall v0.9.24 [8dfed614] Test v1.11.0 Status `/tmp/jl_XeWHfw/Manifest.toml` [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [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 v0.2.27 [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 v0.25.118 [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 v1.11.0 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [1914dd2f] MacroTools v0.5.15 [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 [262411bb] OutlierDetection v0.4.2 [1722ece6] OutlierDetectionInterface v0.2.1 [2449c660] OutlierDetectionPython v0.2.4 [66620973] OutlierDetectionTest v0.3.1 [90014a1f] PDMats v0.11.33 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.1 [fa939f87] Pidfile v1.3.0 ⌅ [aea7be01] PrecompileTools v1.2.1 [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 v2.5.0 [171d559e] SplittablesBase v0.1.15 [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 v1.4.0 [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 v1.6.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.11.0 [de0858da] Printf 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 v1.11.0 [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 v1.1.1+0 [deac9b47] LibCURL_jll v8.6.0+0 [e37daf67] LibGit2_jll v1.7.2+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.6+0 [14a3606d] MozillaCACerts_jll v2023.12.12 [4536629a] OpenBLAS_jll v0.3.27+1 [05823500] OpenLibm_jll v0.8.5+0 [bea87d4a] SuiteSparse_jll v7.7.0+0 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.59.0+0 [3f19e933] p7zip_jll v17.4.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... CondaPkg Found dependencies: /home/pkgeval/.julia/packages/PythonCall/WMWY0/CondaPkg.toml CondaPkg Found dependencies: /home/pkgeval/.julia/packages/OutlierDetectionPython/Ch9a0/CondaPkg.toml CondaPkg Resolving changes + libstdcxx-ng + llvmlite + pyod + python CondaPkg Initialising pixi │ /home/pkgeval/.julia/artifacts/cefba4912c2b400756d043a2563ef77a0088866b/bin/pixi │ init │ --format pixi └ /tmp/jl_XeWHfw/.CondaPkg ✔ Created /tmp/jl_XeWHfw/.CondaPkg/pixi.toml CondaPkg Wrote /tmp/jl_XeWHfw/.CondaPkg/pixi.toml │ [dependencies] │ libstdcxx-ng = ">=3.4,<13.0" │ pyod = "=2" │ │ [dependencies.llvmlite] │ channel = "numba" │ build = "*" │ version = "*" │ │ [dependencies.python] │ channel = "conda-forge" │ build = "*cpython*" │ version = ">=3.8,<4" │ │ [project] │ name = ".CondaPkg" │ platforms = ["linux-64"] │ channels = ["conda-forge", "numba"] │ channel-priority = "strict" └ description = "automatically generated by CondaPkg.jl" CondaPkg Installing packages │ /home/pkgeval/.julia/artifacts/cefba4912c2b400756d043a2563ef77a0088866b/bin/pixi │ install └ --manifest-path /tmp/jl_XeWHfw/.CondaPkg/pixi.toml ✔ The default environment has been installed. Precompiling OutlierDetectionTest... 1863.0 ms ✓ BangBang → BangBangTablesExt 1745.3 ms ✓ MLCore 1204.4 ms ✓ BangBang → BangBangStaticArraysExt 2021.8 ms ✓ CategoricalArrays → CategoricalArraysRecipesBaseExt 13613.0 ms ✓ NNlib 3626.5 ms ✓ Distributions → DistributionsTestExt 8241.0 ms ✓ ScientificTypes 5635.0 ms ✓ Transducers 2273.7 ms ✓ NNlib → NNlibSpecialFunctionsExt 7525.4 ms ✓ CategoricalDistributions 1445.3 ms ✓ Transducers → TransducersAdaptExt 14803.8 ms ✓ FLoops 33505.4 ms ✓ MLUtils 16467.5 ms ✓ StatisticalMeasuresBase 26683.4 ms ✓ MLJBase 10340.2 ms ✓ OutlierDetection 8584.0 ms ✓ OutlierDetectionTest 17 dependencies successfully precompiled in 166 seconds. 129 already precompiled. Test Summary: | Pass Total Time ABODDetector @meta | 4 4 0.1s Test Summary: | Pass Total Time CBLOFDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time CDDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time COFDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time COPODDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time ECODDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time GMMDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time HBOSDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time IForestDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time INNEDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time KDEDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time KNNDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time LMDDDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time LODADetector @meta | 4 4 0.0s Test Summary: | Pass Total Time LOFDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time LOCIDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time MCDDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time OCSVMDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time PCADetector @meta | 4 4 0.0s Test Summary: | Pass Total Time RODDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time SODDetector @meta | 4 4 0.0s Test Summary: | Pass Total Time SOSDetector @meta | 4 4 0.0s [ Info: Training machine(ABODDetector(n_neighbors = 5, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(ABODDetector(n_neighbors = 5, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(ABODDetector(n_neighbors = 5, …), …). Test Summary: | Pass Total Time ABODDetector(n_neighbors = 5, …) | 10 10 1m38.1s [ Info: Training machine(CBLOFDetector(n_clusters = 8, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(CBLOFDetector(n_clusters = 8, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(CBLOFDetector(n_clusters = 8, …), …). Test Summary: | Pass Total Time CBLOFDetector(n_clusters = 8, …) | 10 10 13.3s [ Info: Training machine(CDDetector(model = LinearRegression()), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(CDDetector(model = LinearRegression()), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(CDDetector(model = LinearRegression()), …). Test Summary: | Pass Total Time CDDetector(model = LinearRegression()) | 10 10 10.7s [ Info: Training machine(COFDetector(n_neighbors = 20, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(COFDetector(n_neighbors = 20, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(COFDetector(n_neighbors = 20, …), …). Test Summary: | Pass Total Time COFDetector(n_neighbors = 20, …) | 10 10 9.9s [ Info: Training machine(COPODDetector(n_jobs = 1), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(COPODDetector(n_jobs = 1), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(COPODDetector(n_jobs = 1), …). Test Summary: | Pass Total Time COPODDetector(n_jobs = 1) | 10 10 13.7s [ Info: Training machine(ECODDetector(n_jobs = 1), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(ECODDetector(n_jobs = 1), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(ECODDetector(n_jobs = 1), …). Test Summary: | Pass Total Time ECODDetector(n_jobs = 1) | 10 10 11.2s [ Info: Training machine(GMMDetector(n_components = 1, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(GMMDetector(n_components = 1, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(GMMDetector(n_components = 1, …), …). Test Summary: | Pass Total Time GMMDetector(n_components = 1, …) | 10 10 11.2s [ Info: Training machine(HBOSDetector(n_bins = 10, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(HBOSDetector(n_bins = 10, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(HBOSDetector(n_bins = 10, …), …). Test Summary: | Pass Total Time HBOSDetector(n_bins = 10, …) | 10 10 15.7s [ Info: Training machine(IForestDetector(n_estimators = 100, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(IForestDetector(n_estimators = 100, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(IForestDetector(n_estimators = 100, …), …). Test Summary: | Pass Total Time IForestDetector(n_estimators = 100, …) | 10 10 12.3s [ Info: Training machine(INNEDetector(n_estimators = 200, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(INNEDetector(n_estimators = 200, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(INNEDetector(n_estimators = 200, …), …). Test Summary: | Pass Total Time INNEDetector(n_estimators = 200, …) | 10 10 12.5s [ Info: Training machine(KDEDetector(bandwidth = 1.0, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(KDEDetector(bandwidth = 1.0, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(KDEDetector(bandwidth = 1.0, …), …). Test Summary: | Pass Total Time KDEDetector(bandwidth = 1.0, …) | 10 10 10.8s [ Info: Training machine(KNNDetector(n_neighbors = 5, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(KNNDetector(n_neighbors = 5, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(KNNDetector(n_neighbors = 5, …), …). Test Summary: | Pass Total Time KNNDetector(n_neighbors = 5, …) | 10 10 10.9s [ Info: Training machine(LMDDDetector(n_iter = 50, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(LMDDDetector(n_iter = 50, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(LMDDDetector(n_iter = 50, …), …). Test Summary: | Pass Total Time LMDDDetector(n_iter = 50, …) | 10 10 12.6s [ Info: Training machine(LODADetector(n_bins = 10, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(LODADetector(n_bins = 10, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(LODADetector(n_bins = 10, …), …). Test Summary: | Pass Total Time LODADetector(n_bins = 10, …) | 10 10 11.1s [ Info: Training machine(LOFDetector(n_neighbors = 5, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(LOFDetector(n_neighbors = 5, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(LOFDetector(n_neighbors = 5, …), …). Test Summary: | Pass Total Time LOFDetector(n_neighbors = 5, …) | 10 10 10.9s [ Info: Training machine(LOCIDetector(alpha = 0.5, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(LOCIDetector(alpha = 0.5, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(LOCIDetector(alpha = 0.5, …), …). Test Summary: | Pass Total Time LOCIDetector(alpha = 0.5, …) | 10 10 19.1s [ Info: Training machine(MCDDetector(store_precision = true, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(MCDDetector(store_precision = true, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(MCDDetector(store_precision = true, …), …). Test Summary: | Pass Total Time MCDDetector(store_precision = true, …) | 10 10 11.0s [ Info: Training machine(OCSVMDetector(kernel = rbf, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(OCSVMDetector(kernel = rbf, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(OCSVMDetector(kernel = rbf, …), …). Test Summary: | Pass Total Time OCSVMDetector(kernel = rbf, …) | 10 10 10.2s [ Info: Training machine(PCADetector(n_components = nothing, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(PCADetector(n_components = nothing, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(PCADetector(n_components = nothing, …), …). Test Summary: | Pass Total Time PCADetector(n_components = nothing, …) | 10 10 10.9s [ Info: Training machine(RODDetector(parallel_execution = false), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(RODDetector(parallel_execution = false), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(RODDetector(parallel_execution = false), …). Test Summary: | Pass Total Time RODDetector(parallel_execution = false) | 10 10 18.2s [ Info: Training machine(SODDetector(n_neighbors = 20, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(SODDetector(n_neighbors = 20, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(SODDetector(n_neighbors = 20, …), …). Test Summary: | Pass Total Time SODDetector(n_neighbors = 20, …) | 10 10 19.1s [ Info: Training machine(SOSDetector(perplexity = 4.5, …), …). [ Info: Training machine(ProbabilisticUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(SOSDetector(perplexity = 4.5, …), …). [ Info: Training machine(DeterministicUnsupervisedCompositeDetector(normalize = scale_minmax, …), …). [ Info: Training machine(SOSDetector(perplexity = 4.5, …), …). Test Summary: | Pass Total Time SOSDetector(perplexity = 4.5, …) | 10 10 12.1s Testing OutlierDetectionPython tests passed Testing completed after 668.12s PkgEval succeeded after 790.45s