Package evaluation of ConformalPrediction on Julia 1.13.0-DEV.897 (a39797a4fb*) started at 2025-07-25T03:08:50.739 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.71s ################################################################################ # Installation # Installing ConformalPrediction... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [98bfc277] + ConformalPrediction v0.1.13 Updating `~/.julia/environments/v1.13/Manifest.toml` [47edcb42] + ADTypes v1.15.0 [621f4979] + AbstractFFTs v1.5.0 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [4fba245c] + ArrayInterface v7.19.0 [a9b6321e] + Atomix v1.1.1 [fbb218c0] + BSON v0.3.9 [198e06fe] + BangBang v0.4.4 [9718e550] + Baselet v0.1.1 [fa961155] + CEnum v0.5.0 [324d7699] + CategoricalArrays v0.10.8 [af321ab8] + CategoricalDistributions v0.1.15 [082447d4] + ChainRules v1.72.5 [d360d2e6] + ChainRulesCore v1.25.2 ⌅ [3da002f7] + ColorTypes v0.11.5 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.17.0 [a33af91c] + CompositionsBase v0.1.2 [ed09eef8] + ComputationalResources v0.3.2 [98bfc277] + ConformalPrediction v0.1.13 [187b0558] + ConstructionBase v1.6.0 [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 [b429d917] + DensityInterface v0.4.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.3 [31c24e10] + Distributions v0.25.120 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.5 [cc61a311] + FLoops v0.2.2 [b9860ae5] + FLoopsBase v0.1.1 [5789e2e9] + FileIO v1.17.0 [1a297f60] + FillArrays v1.13.0 [6a86dc24] + FiniteDiff v2.27.0 [53c48c17] + FixedPointNumbers v0.8.5 ⌅ [587475ba] + Flux v0.14.25 [f6369f11] + ForwardDiff v1.0.1 ⌅ [d9f16b24] + Functors v0.4.12 [0c68f7d7] + GPUArrays v11.2.3 [46192b85] + GPUArraysCore v0.2.0 [076d061b] + HashArrayMappedTries v0.2.0 [34004b35] + HypergeometricFunctions v0.3.28 [7869d1d1] + IRTools v0.4.15 ⌅ [4846b161] + InferOpt v0.6.1 [22cec73e] + InitialValues v0.3.1 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.4 [42fd0dbc] + IterativeSolvers v0.9.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [033835bb] + JLD2 v0.5.15 [692b3bcd] + JLLWrappers v1.7.1 [b14d175d] + JuliaVariables v0.2.4 [63c18a36] + KernelAbstractions v0.9.38 [929cbde3] + LLVM v9.4.2 [b964fa9f] + LaTeXStrings v1.4.0 [92ad9a40] + LearnAPI v1.0.1 [d3d80556] + LineSearches v7.4.0 [7a12625a] + LinearMaps v3.11.4 [2ab3a3ac] + LogExpFunctions v0.3.29 [c2834f40] + MLCore v1.0.0 ⌃ [7e8f7934] + MLDataDevices v1.5.3 [a7f614a8] + MLJBase v1.8.2 [50ed68f4] + MLJEnsembles v0.4.3 ⌅ [094fc8d1] + MLJFlux v0.5.1 [6ee0df7b] + MLJLinearModels v0.10.1 [e80e1ace] + MLJModelInterface v1.12.0 [d8e11817] + MLStyle v0.4.17 [f1d291b0] + MLUtils v0.4.8 [1914dd2f] + MacroTools v0.5.16 [dbeba491] + Metalhead v0.9.5 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [d41bc354] + NLSolversBase v7.10.0 [872c559c] + NNlib v0.9.31 [77ba4419] + NaNMath v1.1.3 [71a1bf82] + NameResolution v0.1.5 [0b1bfda6] + OneHotArrays v0.2.10 [429524aa] + Optim v1.13.2 ⌅ [3bd65402] + Optimisers v0.3.4 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.35 [d96e819e] + Parameters v0.12.3 [570af359] + PartialFunctions v1.2.1 [85a6dd25] + PositiveFactorizations v0.2.4 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [8162dcfd] + PrettyPrint v0.2.0 [08abe8d2] + PrettyTables v2.4.0 [33c8b6b6] + ProgressLogging v0.1.5 [92933f4c] + ProgressMeter v1.10.4 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [c1ae055f] + RealDot v0.1.0 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [42d2dcc6] + Referenceables v0.1.3 [97f35ef4] + RequiredInterfaces v0.1.7 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [321657f4] + ScientificTypes v3.1.0 [30f210dd] + ScientificTypesBase v3.0.0 [7e506255] + ScopedValues v1.4.0 [efcf1570] + Setfield v1.1.2 [605ecd9f] + ShowCases v0.1.0 [699a6c99] + SimpleTraits v0.9.4 [a2af1166] + SortingAlgorithms v1.2.1 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.5.1 [171d559e] + SplittablesBase v0.1.15 [90137ffa] + StaticArrays v1.9.14 [1e83bf80] + StaticArraysCore v1.4.3 [c062fc1d] + StatisticalMeasuresBase v0.1.2 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.5 [4c63d2b9] + StatsFuns v1.5.0 [892a3eda] + StringManipulation v0.4.1 [09ab397b] + StructArrays v0.7.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [ac1d9e8a] + ThreadsX v0.1.12 [3bb67fe8] + TranscodingStreams v0.11.3 [28d57a85] + Transducers v0.4.84 [3a884ed6] + UnPack v1.0.2 [013be700] + UnsafeAtomics v0.3.0 ⌅ [e88e6eb3] + Zygote v0.6.77 [700de1a5] + ZygoteRules v0.2.7 [dad2f222] + LLVMExtra_jll v0.0.37+2 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [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 v1.13.0 [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 v0.7.0 [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 v8.14.1+1 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.7.15 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.1+0 [efcefdf7] + PCRE2_jll v10.45.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.13.1+0 [8e850ede] + nghttp2_jll v1.65.0+0 [3f19e933] + p7zip_jll v17.5.0+2 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 6.21s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 1268.32s ################################################################################ # Testing # Testing ConformalPrediction Test Could not use exact versions of packages in manifest, re-resolving. Note: if you do not check your manifest file into source control, then you can probably ignore this message. However, if you do check your manifest file into source control, then you probably want to pass the `allow_reresolve = false` kwarg when calling the `Pkg.test` function. Updating `/tmp/jl_131t9w/Project.toml` [4c88cf16] ↑ Aqua v0.8.4 ⇒ v0.8.13 [5224ae11] ↑ CompatHelperLocal v0.1.26 ⇒ v0.1.27 [98bfc277] + ConformalPrediction v0.1.13 [e30172f5] ↑ Documenter v1.3.0 ⇒ v1.14.1 ⌅ [f6006082] ↑ EvoTrees v0.16.6 ⇒ v0.16.9 ⌅ [7acf609c] ↑ LightGBM v0.6.1 ⇒ v0.7.2 [add582a8] ↑ MLJ v0.19.5 ⇒ v0.20.9 [c6f25543] ↑ MLJDecisionTreeInterface v0.4.1 ⇒ v0.4.2 ⌅ [094fc8d1] ↑ MLJFlux v0.4.0 ⇒ v0.5.1 [6ee0df7b] ↑ MLJLinearModels v0.10.0 ⇒ v0.10.1 [e80e1ace] ↑ MLJModelInterface v1.9.5 ⇒ v1.12.0 [91a5bcdd] ↑ Plots v1.40.2 ⇒ v1.40.17 [bd7198b4] ↑ TaijaPlotting v1.0.7 ⇒ v1.3.0 [8dfed614] ~ Test ⇒ v1.11.0 Updating `/tmp/jl_131t9w/Manifest.toml` [47edcb42] + ADTypes v1.15.0 [da404889] ↑ ARFFFiles v1.4.1 ⇒ v1.5.0 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] ↑ Adapt v4.0.3 ⇒ v4.3.0 [66dad0bd] + AliasTables v1.1.3 [4c88cf16] ↑ Aqua v0.8.4 ⇒ v0.8.13 [dce04be8] ↑ ArgCheck v2.3.0 ⇒ v2.5.0 [ec485272] - ArnoldiMethod v0.2.0 [4fba245c] ↑ ArrayInterface v7.9.0 ⇒ v7.19.0 [a9b6321e] ↑ Atomix v0.1.0 ⇒ v1.1.1 [a963bdd2] - AtomsBase v0.3.5 [ab4f0b2a] - BFloat16s v0.4.2 [198e06fe] ↑ BangBang v0.3.40 ⇒ v0.4.4 [6e4b80f9] - BenchmarkTools v1.5.0 [d1d4a3ce] ↑ BitFlags v0.1.8 ⇒ v0.1.9 [e1450e63] - BufferedStreams v1.2.1 [336ed68f] - CSV v0.10.13 [052768ef] - CUDA v5.2.0 [1af6417a] - CUDA_Runtime_Discovery v0.2.3 [49dc2e85] - Calculus v0.5.1 [af321ab8] ↑ CategoricalDistributions v0.1.14 ⇒ v0.1.15 [082447d4] ↑ ChainRules v1.63.0 ⇒ v1.72.5 [d360d2e6] ↑ ChainRulesCore v1.23.0 ⇒ v1.25.2 [46823bd8] - Chemfiles v0.10.41 [523fee87] - CodecBzip2 v0.8.2 [944b1d66] ↑ CodecZlib v0.7.4 ⇒ v0.7.8 [35d6a980] ↑ ColorSchemes v3.24.0 ⇒ v3.30.0 ⌅ [3da002f7] ↑ ColorTypes v0.11.4 ⇒ v0.11.5 [5ae59095] ↑ Colors v0.12.10 ⇒ v0.13.1 [861a8166] ↑ Combinatorics v1.0.2 ⇒ v1.0.3 [bbf7d656] ↑ CommonSubexpressions v0.3.0 ⇒ v0.3.1 [34da2185] ↑ Compat v4.14.0 ⇒ v4.17.0 [5224ae11] ↑ CompatHelperLocal v0.1.26 ⇒ v0.1.27 [f0e56b4a] ↑ ConcurrentUtilities v2.4.1 ⇒ v2.5.0 [98bfc277] ↑ ConformalPrediction v0.1.6 ⇒ v0.1.13 [187b0558] ↑ ConstructionBase v1.5.5 ⇒ v1.6.0 [d38c429a] ↑ Contour v0.6.2 ⇒ v0.6.3 ⌃ [2f13d31b] ↑ CounterfactualExplanations v0.1.31 ⇒ v1.1.6 [124859b0] - DataDeps v0.7.13 [a93c6f00] ↑ DataFrames v1.6.1 ⇒ v1.7.0 [864edb3b] ↑ DataStructures v0.18.18 ⇒ v0.18.22 [b429d917] + DensityInterface v0.4.0 [a0c0ee7d] + DifferentiationInterface v0.7.3 [b4f34e82] ↑ Distances v0.10.11 ⇒ v0.10.12 [31c24e10] ↑ Distributions v0.25.107 ⇒ v0.25.120 [ffbed154] ↑ DocStringExtensions v0.9.3 ⇒ v0.9.5 [e30172f5] ↑ Documenter v1.3.0 ⇒ v1.14.1 [fa6b7ba4] - DualNumbers v0.6.8 [4e289a0a] + EnumX v1.0.5 ⌅ [f6006082] ↑ EvoTrees v0.16.6 ⇒ v0.16.9 [460bff9d] ↑ ExceptionUnwrapping v0.1.10 ⇒ v0.1.11 [e2ba6199] - ExprTools v0.1.10 [411431e0] ↑ Extents v0.1.2 ⇒ v0.1.6 [c87230d0] ↑ FFMPEG v0.4.1 ⇒ v0.4.2 [cc61a311] ↑ FLoops v0.2.1 ⇒ v0.2.2 [33837fe5] + FeatureSelection v0.2.3 [5789e2e9] ↑ FileIO v1.16.3 ⇒ v1.17.0 [48062228] ↑ FilePathsBase v0.9.21 ⇒ v0.9.24 [1a297f60] ↑ FillArrays v1.9.3 ⇒ v1.13.0 [6a86dc24] ↑ FiniteDiff v2.23.0 ⇒ v2.27.0 [53c48c17] ↑ FixedPointNumbers v0.8.4 ⇒ v0.8.5 ⌅ [587475ba] ↑ Flux v0.14.14 ⇒ v0.14.25 [1fa38f19] ↑ Format v1.3.6 ⇒ v1.3.7 [f6369f11] ↑ ForwardDiff v0.10.36 ⇒ v1.0.1 ⌅ [d9f16b24] ↑ Functors v0.4.8 ⇒ v0.4.12 [0c68f7d7] ↑ GPUArrays v10.0.2 ⇒ v11.2.3 [46192b85] ↑ GPUArraysCore v0.1.6 ⇒ v0.2.0 [61eb1bfa] - GPUCompiler v0.25.0 [28b8d3ca] ↑ GR v0.73.3 ⇒ v0.73.17 [92fee26a] - GZip v0.6.2 [cf35fbd7] - GeoInterface v1.3.3 [5c1252a2] ↑ GeometryBasics v0.4.10 ⇒ v0.5.10 [d7ba0133] ↑ Git v1.3.1 ⇒ v1.4.0 [c27321d9] - Glob v1.3.1 [86223c79] - Graphs v1.9.0 [f67ccb44] - HDF5 v0.17.1 [cd3eb016] ↑ HTTP v1.10.4 ⇒ v1.10.17 [076d061b] + HashArrayMappedTries v0.2.0 [34004b35] ↑ HypergeometricFunctions v0.3.23 ⇒ v0.3.28 [b5f81e59] ↑ IOCapture v0.2.4 ⇒ v0.2.5 [7869d1d1] ↑ IRTools v0.4.12 ⇒ v0.4.15 [c817782e] - ImageBase v0.1.7 [a09fc81d] - ImageCore v0.10.2 [4e3cecfd] - ImageShow v0.3.8 ⌅ [4846b161] + InferOpt v0.6.1 [d25df0c9] - Inflate v0.1.4 [842dd82b] ↑ InlineStrings v1.4.0 ⇒ v1.4.4 [7d512f48] - InternedStrings v0.7.0 [3587e190] + InverseFunctions v0.1.17 [41ab1584] ↑ InvertedIndices v1.3.0 ⇒ v1.3.1 [92d709cd] ↑ IrrationalConstants v0.2.2 ⇒ v0.2.4 [033835bb] ↑ JLD2 v0.4.46 ⇒ v0.5.15 [1019f520] ↑ JLFzf v0.1.7 ⇒ v0.1.11 [692b3bcd] ↑ JLLWrappers v1.5.0 ⇒ v1.7.1 [0f8b85d8] - JSON3 v1.14.0 [63c18a36] ↑ KernelAbstractions v0.9.18 ⇒ v0.9.38 [929cbde3] ↑ LLVM v6.6.1 ⇒ v9.4.2 [8b046642] - LLVMLoopInfo v1.0.0 [b964fa9f] ↑ LaTeXStrings v1.3.1 ⇒ v1.4.0 [c52c1a26] ↑ LaplaceRedux v0.1.4 ⇒ v1.2.0 [23fbe1c1] ↑ Latexify v0.16.2 ⇒ v0.16.8 [0e77f7df] ↑ LazilyInitializedFields v1.2.2 ⇒ v1.3.0 [8cdb02fc] - LazyModules v0.3.1 [92ad9a40] + LearnAPI v1.0.1 ⌅ [7acf609c] ↑ LightGBM v0.6.1 ⇒ v0.7.2 [d3d80556] ↑ LineSearches v7.2.0 ⇒ v7.4.0 [7a12625a] ↑ LinearMaps v3.11.2 ⇒ v3.11.4 [2ab3a3ac] ↑ LogExpFunctions v0.3.27 ⇒ v0.3.29 [e6f89c97] ↑ LoggingExtras v1.0.3 ⇒ v1.1.0 [30fc2ffe] - LossFunctions v0.11.1 [23992714] - MAT v0.10.6 [c2834f40] + MLCore v1.0.0 ⌃ [7e8f7934] + MLDataDevices v1.5.3 [eb30cadb] - MLDatasets v0.7.14 ⌅ [64a0f543] ↑ MLFlowClient v0.4.6 ⇒ v0.5.1 [add582a8] ↑ MLJ v0.19.5 ⇒ v0.20.9 [45f359ea] + MLJBalancing v0.1.5 [a7f614a8] ↑ MLJBase v0.21.14 ⇒ v1.8.2 [c6f25543] ↑ MLJDecisionTreeInterface v0.4.1 ⇒ v0.4.2 [50ed68f4] ↑ MLJEnsembles v0.3.3 ⇒ v0.4.3 [7b7b8358] ↑ MLJFlow v0.1.1 ⇒ v0.5.0 ⌅ [094fc8d1] ↑ MLJFlux v0.4.0 ⇒ v0.5.1 [614be32b] ↑ MLJIteration v0.5.1 ⇒ v0.6.3 [6ee0df7b] ↑ MLJLinearModels v0.10.0 ⇒ v0.10.1 [e80e1ace] ↑ MLJModelInterface v1.9.5 ⇒ v1.12.0 [d491faf4] ↑ MLJModels v0.16.16 ⇒ v0.17.9 [03970b2e] ↑ MLJTuning v0.7.4 ⇒ v0.8.8 [f1d291b0] ↑ MLUtils v0.4.4 ⇒ v0.4.8 [3da0fdf6] - MPIPreferences v0.1.10 [1914dd2f] ↑ MacroTools v0.5.13 ⇒ v0.5.16 [06eb3307] - ManifoldLearning v0.9.0 [dbb5928d] - MappedArrays v0.4.2 [b8f27783] - MathOptInterface v1.27.0 [dbeba491] ↑ Metalhead v0.9.3 ⇒ v0.9.5 [128add7d] ↑ MicroCollections v0.1.4 ⇒ v0.2.0 [e1d29d7a] ↑ Missings v1.1.0 ⇒ v1.2.0 [e94cdb99] - MosaicViews v0.3.4 [6f286f6a] ↑ MultivariateStats v0.9.0 ⇒ v0.10.3 [d8a4904e] - MutableArithmetics v1.4.1 [d41bc354] ↑ NLSolversBase v7.8.3 ⇒ v7.10.0 [872c559c] ↑ NNlib v0.9.12 ⇒ v0.9.31 [15e1cf62] - NPZ v0.4.3 [5da4648a] - NVTX v0.3.4 [77ba4419] ↑ NaNMath v1.0.2 ⇒ v1.1.3 [b8a86587] ↑ NearestNeighbors v0.4.16 ⇒ v0.4.22 [46757867] ↑ NetworkLayout v0.4.6 ⇒ v0.4.10 [6fe1bfb0] - OffsetArrays v1.13.0 [0b1bfda6] ↑ OneHotArrays v0.2.5 ⇒ v0.2.10 [8b6db2d4] ↑ OpenML v0.3.1 ⇒ v0.3.2 [4d8831e6] ↑ OpenSSL v1.4.2 ⇒ v1.5.0 [429524aa] ↑ Optim v1.9.2 ⇒ v1.13.2 ⌅ [3bd65402] ↑ Optimisers v0.3.2 ⇒ v0.3.4 [bac558e1] ↑ OrderedCollections v1.6.3 ⇒ v1.8.1 [90014a1f] ↑ PDMats v0.11.31 ⇒ v0.11.35 [5432bcbf] - PaddedViews v0.5.12 [69de0a69] ↑ Parsers v2.8.1 ⇒ v2.8.3 [570af359] ↑ PartialFunctions v1.2.0 ⇒ v1.2.1 [7b2266bf] - PeriodicTable v1.2.1 [fbb45041] - Pickle v0.3.3 [b98c9c47] - Pipe v1.3.0 [ccf2f8ad] ↑ PlotThemes v3.1.0 ⇒ v3.3.0 [995b91a9] ↑ PlotUtils v1.4.1 ⇒ v1.4.3 [91a5bcdd] ↑ Plots v1.40.2 ⇒ v1.40.17 [aea7be01] ↑ PrecompileTools v1.2.1 ⇒ v1.3.2 [08abe8d2] ↑ PrettyTables v2.3.1 ⇒ v2.4.0 [33c8b6b6] ↑ ProgressLogging v0.1.4 ⇒ v0.1.5 [92933f4c] ↑ ProgressMeter v1.10.0 ⇒ v1.10.4 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] ↑ QuadGK v2.9.4 ⇒ v2.11.2 [74087812] - Random123 v1.7.0 [e6cf234a] - RandomNumbers v1.5.3 [42d2dcc6] + Referenceables v0.1.3 [97f35ef4] + RequiredInterfaces v0.1.7 [ae029012] ↑ Requires v1.3.0 ⇒ v1.3.1 [79098fc4] ↑ Rmath v0.7.1 ⇒ v0.8.0 [321657f4] ↑ ScientificTypes v3.0.2 ⇒ v3.1.0 [7e506255] + ScopedValues v1.4.0 [6c6a2e73] ↑ Scratch v1.2.1 ⇒ v1.3.0 [91c51154] ↑ SentinelArrays v1.4.1 ⇒ v1.4.8 [efcf1570] ↑ Setfield v1.1.1 ⇒ v1.1.2 [777ac1f9] ↑ SimpleBufferStream v1.1.0 ⇒ v1.2.0 [276daf66] ↑ SpecialFunctions v2.3.1 ⇒ v2.5.1 [860ef19b] ↑ StableRNGs v1.0.1 ⇒ v1.0.3 [cae243ae] - StackViews v0.1.1 [90137ffa] ↑ StaticArrays v1.9.3 ⇒ v1.9.14 [1e83bf80] ↑ StaticArraysCore v1.4.2 ⇒ v1.4.3 [a19d573c] + StatisticalMeasures v0.2.1 [c062fc1d] + StatisticalMeasuresBase v0.1.2 [64bff920] ↑ StatisticalTraits v3.2.0 ⇒ v3.5.0 [10745b16] ↑ Statistics v1.10.0 ⇒ v1.11.1 [82ae8749] ↑ StatsAPI v1.7.0 ⇒ v1.7.1 [2913bbd2] ↑ StatsBase v0.33.21 ⇒ v0.34.5 [4c63d2b9] ↑ StatsFuns v1.3.1 ⇒ v1.5.0 [5e0ebb24] - Strided v1.2.3 [69024149] - StringEncodings v0.3.7 [892a3eda] ↑ StringManipulation v0.3.4 ⇒ v0.4.1 [09ab397b] ↑ StructArrays v0.6.18 ⇒ v0.7.1 [856f2bd8] - StructTypes v1.10.0 [bd369af6] ↑ Tables v1.11.1 ⇒ v1.12.1 [10284c91] + TaijaBase v1.2.3 [bd7198b4] ↑ TaijaPlotting v1.0.7 ⇒ v1.3.0 [ac1d9e8a] + ThreadsX v0.1.12 [a759f4b9] - TimerOutputs v0.5.23 [3bb67fe8] ↑ TranscodingStreams v0.10.5 ⇒ v0.11.3 [28d57a85] ↑ Transducers v0.4.80 ⇒ v0.4.84 [592b5752] + Trapz v2.0.3 [bc48ee85] ↑ Tullio v0.3.7 ⇒ v0.3.8 [9d95972d] - TupleTools v1.5.0 [5c2747f8] ↑ URIs v1.5.1 ⇒ v1.6.1 [1986cc42] ↑ Unitful v1.19.0 ⇒ v1.23.1 [a7773ee8] - UnitfulAtomic v1.0.0 [45397f5d] ↑ UnitfulLatexify v1.6.3 ⇒ v1.7.0 [013be700] ↑ UnsafeAtomics v0.2.1 ⇒ v0.3.0 [d80eeb9a] - UnsafeAtomicsLLVM v0.1.3 [ea10d353] - WeakRefStrings v1.4.2 [76eceee3] - WorkerUtilities v1.6.1 [a5390f91] - ZipFile v0.10.1 ⌅ [e88e6eb3] ↑ Zygote v0.6.69 ⇒ v0.6.77 [700de1a5] ↑ ZygoteRules v0.2.5 ⇒ v0.2.7 [02a925ec] - cuDNN v1.3.0 [6e34b625] ↑ Bzip2_jll v1.0.8+1 ⇒ v1.0.9+0 [4ee394cb] - CUDA_Driver_jll v0.7.0+1 [76a88914] - CUDA_Runtime_jll v0.11.1+0 [62b44479] - CUDNN_jll v8.9.4+0 [83423d85] ↑ Cairo_jll v1.18.0+1 ⇒ v1.18.5+0 [78a364fa] - Chemfiles_jll v0.10.4+0 [ee1fde0b] + Dbus_jll v1.16.2+0 [2702e6a9] ↑ EpollShim_jll v0.0.20230411+0 ⇒ v0.0.20230411+1 [2e619515] ↑ Expat_jll v2.5.0+0 ⇒ v2.6.5+0 [a3f928ae] ↑ Fontconfig_jll v2.13.93+0 ⇒ v2.16.0+0 [d7e528f0] ↑ FreeType2_jll v2.13.1+0 ⇒ v2.13.4+0 [559328eb] ↑ FriBidi_jll v1.0.10+0 ⇒ v1.0.17+0 [0656b61e] ↑ GLFW_jll v3.3.9+0 ⇒ v3.4.0+2 [d2c73de3] ↑ GR_jll v0.73.3+0 ⇒ v0.73.17+0 [b0724c58] + GettextRuntime_jll v0.22.4+0 [78b55507] - Gettext_jll v0.21.0+0 [f8c6e375] ↑ Git_jll v2.44.0+1 ⇒ v2.50.1+0 [7746bdde] ↑ Glib_jll v2.80.0+0 ⇒ v2.84.3+0 [3b182d85] ↑ Graphite2_jll v1.3.14+0 ⇒ v1.3.15+0 [0234f1f7] - HDF5_jll v1.14.2+1 [2e76f6c2] ↑ HarfBuzz_jll v2.8.1+1 ⇒ v8.5.1+0 [e33a78d0] - Hwloc_jll v2.10.0+0 [aacddb02] ↑ JpegTurbo_jll v3.0.2+0 ⇒ v3.1.1+0 [9c1d0b0a] - JuliaNVTXCallbacks_jll v0.2.1+0 [c1c5ebd0] ↑ LAME_jll v3.100.1+0 ⇒ v3.100.3+0 [88015f11] ↑ LERC_jll v3.0.0+1 ⇒ v4.0.1+0 [dad2f222] ↑ LLVMExtra_jll v0.0.29+0 ⇒ v0.0.37+2 [1d63c593] ↑ LLVMOpenMP_jll v15.0.7+0 ⇒ v18.1.8+0 [dd4b983a] ↑ LZO_jll v2.10.1+0 ⇒ v2.10.3+0 [e9f186c6] ↑ Libffi_jll v3.2.2+1 ⇒ v3.4.7+0 [d4300ac3] - Libgcrypt_jll v1.8.7+0 [7e76a0d4] ↑ Libglvnd_jll v1.6.0+0 ⇒ v1.7.1+1 [7add5ba3] - Libgpg_error_jll v1.42.0+0 [94ce4f54] ↑ Libiconv_jll v1.17.0+0 ⇒ v1.18.0+0 [4b2f31a3] ↑ Libmount_jll v2.39.3+0 ⇒ v2.41.0+0 [89763e89] ↑ Libtiff_jll v4.5.1+1 ⇒ v4.7.1+0 [38a345b3] ↑ Libuuid_jll v2.39.3+1 ⇒ v2.41.0+0 ⌅ [0e4427ef] + LightGBM_jll v3.3.5+1 [7cb0a576] - MPICH_jll v4.2.0+0 [f1f71cc9] - MPItrampoline_jll v5.3.2+0 [c8ffd9c3] ↑ MbedTLS_jll v2.28.2+1 ⇒ v2.28.6+2 [9237b28f] - MicrosoftMPI_jll v10.1.4+2 [e98f9f5b] - NVTX_jll v3.1.0+2 [e7412a2a] ↑ Ogg_jll v1.3.5+1 ⇒ v1.3.6+0 [fe0851c0] - OpenMPI_jll v5.0.2+0 [9bd350c2] + OpenSSH_jll v10.0.1+0 [efe28fd5] ↑ OpenSpecFun_jll v0.5.5+0 ⇒ v0.5.6+0 [91d4177d] ↑ Opus_jll v1.3.2+0 ⇒ v1.5.2+0 [32165bc3] - PMIx_jll v4.2.7+0 [36c8627f] + Pango_jll v1.56.3+0 ⌅ [30392449] ↑ Pixman_jll v0.42.2+0 ⇒ v0.44.2+0 [c0090381] ↑ Qt6Base_jll v6.5.3+1 ⇒ v6.8.2+1 [629bc702] + Qt6Declarative_jll v6.8.2+1 [ce943373] + Qt6ShaderTools_jll v6.8.2+1 [e99dba38] + Qt6Wayland_jll v6.8.2+1 [f50d1b31] ↑ Rmath_jll v0.4.0+0 ⇒ v0.5.1+0 [a2964d1f] ↑ Wayland_jll v1.21.0+1 ⇒ v1.24.0+0 [2381bf8a] - Wayland_protocols_jll v1.31.0+0 [02c8fc9c] - XML2_jll v2.12.5+0 [aed1982a] - XSLT_jll v1.1.34+0 [ffd25f8a] ↑ XZ_jll v5.6.1+0 ⇒ v5.8.1+0 [f67eecfb] ↑ Xorg_libICE_jll v1.0.10+1 ⇒ v1.1.2+0 [c834827a] ↑ Xorg_libSM_jll v1.2.3+0 ⇒ v1.2.6+0 [4f6342f7] ↑ Xorg_libX11_jll v1.8.6+0 ⇒ v1.8.12+0 [0c0b7dd1] ↑ Xorg_libXau_jll v1.0.11+0 ⇒ v1.0.13+0 [935fb764] ↑ Xorg_libXcursor_jll v1.2.0+4 ⇒ v1.2.4+0 [a3789734] ↑ Xorg_libXdmcp_jll v1.1.4+0 ⇒ v1.1.6+0 [1082639a] ↑ Xorg_libXext_jll v1.3.4+4 ⇒ v1.3.7+0 [d091e8ba] ↑ Xorg_libXfixes_jll v5.0.3+4 ⇒ v6.0.1+0 [a51aa0fd] ↑ Xorg_libXi_jll v1.7.10+4 ⇒ v1.8.3+0 [d1454406] ↑ Xorg_libXinerama_jll v1.1.4+4 ⇒ v1.1.6+0 [ec84b674] ↑ Xorg_libXrandr_jll v1.5.2+4 ⇒ v1.5.5+0 [ea2f1a96] ↑ Xorg_libXrender_jll v0.9.10+4 ⇒ v0.9.12+0 [14d82f49] - Xorg_libpthread_stubs_jll v0.1.1+0 [c7cfdc94] ↑ Xorg_libxcb_jll v1.15.0+0 ⇒ v1.17.1+0 [cc61e674] ↑ Xorg_libxkbfile_jll v1.1.2+0 ⇒ v1.1.3+0 [e920d4aa] ↑ Xorg_xcb_util_cursor_jll v0.1.4+0 ⇒ v0.1.5+0 [12413925] ↑ Xorg_xcb_util_image_jll v0.4.0+1 ⇒ v0.4.1+0 [2def613f] ↑ Xorg_xcb_util_jll v0.4.0+1 ⇒ v0.4.1+0 [975044d2] ↑ Xorg_xcb_util_keysyms_jll v0.4.0+1 ⇒ v0.4.1+0 [0d47668e] ↑ Xorg_xcb_util_renderutil_jll v0.3.9+1 ⇒ v0.3.10+0 [c22f9ab0] ↑ Xorg_xcb_util_wm_jll v0.4.1+1 ⇒ v0.4.2+0 [35661453] ↑ Xorg_xkbcomp_jll v1.4.6+0 ⇒ v1.4.7+0 [33bec58e] ↑ Xorg_xkeyboard_config_jll v2.39.0+0 ⇒ v2.44.0+0 [c5fb5394] ↑ Xorg_xtrans_jll v1.5.0+0 ⇒ v1.6.0+0 [35ca27e7] ↑ eudev_jll v3.2.9+0 ⇒ v3.2.14+0 [214eeab7] ↑ fzf_jll v0.43.0+0 ⇒ v0.61.1+0 [1a1c6b14] - gperf_jll v3.1.1+0 [477f73a3] - libaec_jll v1.1.2+0 [a4ae2306] ↑ libaom_jll v3.4.0+0 ⇒ v3.12.1+0 ⌅ [0ac62f75] ↑ libass_jll v0.15.1+0 ⇒ v0.15.2+0 [1183f4f0] + libdecor_jll v0.2.2+0 [2db6ffa8] ↑ libevdev_jll v1.11.0+0 ⇒ v1.13.4+0 [1080aeaf] - libevent_jll v2.1.13+1 [f638f0a6] ↑ libfdk_aac_jll v2.0.2+0 ⇒ v2.0.4+0 [36db933b] ↑ libinput_jll v1.18.0+0 ⇒ v1.28.1+0 [b53b4c65] ↑ libpng_jll v1.6.43+1 ⇒ v1.6.50+0 [f27f6e37] ↑ libvorbis_jll v1.3.7+1 ⇒ v1.3.8+0 [009596ad] ↑ mtdev_jll v1.1.6+0 ⇒ v1.1.7+0 [eb928a42] - prrte_jll v3.0.2+0 [d8fb68d0] ↑ xkbcommon_jll v1.4.1+1 ⇒ v1.9.2+0 [0dad84c5] ↑ ArgTools v1.1.1 ⇒ 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 ⇒ 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 [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 v1.2.0 ⇒ v1.3.0 [44cfe95a] ↑ Pkg v1.10.0 ⇒ v1.13.0 [de0858da] ~ Printf ⇒ v1.11.0 [9abbd945] - Profile [3fa0cd96] ~ REPL ⇒ v1.11.0 [9a3f8284] ~ Random ⇒ v1.11.0 [9e88b42a] ~ Serialization ⇒ v1.11.0 [1a1011a3] - SharedArrays [6462fe0b] ~ Sockets ⇒ v1.11.0 [2f01184e] ↑ SparseArrays v1.10.0 ⇒ v1.13.0 [f489334b] + StyledStrings v1.11.0 [8dfed614] ~ Test ⇒ v1.11.0 [cf7118a7] ~ UUIDs ⇒ v1.11.0 [4ec0a83e] ~ Unicode ⇒ v1.11.0 [e66e0078] ↑ CompilerSupportLibraries_jll v1.1.0+0 ⇒ v1.3.0+1 [deac9b47] ↑ LibCURL_jll v8.4.0+0 ⇒ v8.14.1+1 [e37daf67] ↑ LibGit2_jll v1.6.4+0 ⇒ v1.9.1+0 [29816b5a] ↑ LibSSH2_jll v1.11.0+1 ⇒ v1.11.3+1 [14a3606d] ↑ MozillaCACerts_jll v2023.1.10 ⇒ v2025.7.15 [4536629a] ↑ OpenBLAS_jll v0.3.23+4 ⇒ v0.3.29+0 [05823500] ↑ OpenLibm_jll v0.8.1+2 ⇒ v0.8.5+0 [458c3c95] ↑ OpenSSL_jll v3.0.13+0 ⇒ v3.5.1+0 [efcefdf7] ↑ PCRE2_jll v10.42.0+1 ⇒ v10.45.0+0 [bea87d4a] ↑ SuiteSparse_jll v7.2.1+1 ⇒ v7.10.1+0 [83775a58] ↑ Zlib_jll v1.2.13+1 ⇒ v1.3.1+2 [3161d3a3] ↑ Zstd_jll v1.5.5+0 ⇒ v1.5.7+1 [8e850b90] ↑ libblastrampoline_jll v5.8.0+1 ⇒ v5.13.1+0 [8e850ede] ↑ nghttp2_jll v1.52.0+1 ⇒ v1.65.0+0 [3f19e933] ↑ p7zip_jll v17.4.0+2 ⇒ v17.5.0+2 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` Test Successfully re-resolved Status `/tmp/jl_131t9w/Project.toml` [4c88cf16] Aqua v0.8.13 [5224ae11] CompatHelperLocal v0.1.27 [98bfc277] ConformalPrediction v0.1.13 [7806a523] DecisionTree v0.12.4 [e30172f5] Documenter v1.14.1 ⌅ [f6006082] EvoTrees v0.16.9 ⌅ [7acf609c] LightGBM v0.7.2 [add582a8] MLJ v0.20.9 [c6f25543] MLJDecisionTreeInterface v0.4.2 ⌅ [094fc8d1] MLJFlux v0.5.1 [6ee0df7b] MLJLinearModels v0.10.1 [e80e1ace] MLJModelInterface v1.12.0 [636a865e] NearestNeighborModels v0.2.3 [91a5bcdd] Plots v1.40.17 [bd7198b4] TaijaPlotting v1.3.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_131t9w/Manifest.toml` [47edcb42] ADTypes v1.15.0 [a4c015fc] ANSIColoredPrinters v0.0.1 [da404889] ARFFFiles v1.5.0 [621f4979] AbstractFFTs v1.5.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.13 [dce04be8] ArgCheck v2.5.0 [7d9fca2a] Arpack v0.5.4 [4fba245c] ArrayInterface v7.19.0 [a9b6321e] Atomix v1.1.1 [fbb218c0] BSON v0.3.9 [198e06fe] BangBang v0.4.4 [9718e550] Baselet v0.1.1 [d1d4a3ce] BitFlags v0.1.9 [fa961155] CEnum v0.5.0 [324d7699] CategoricalArrays v0.10.8 [af321ab8] CategoricalDistributions v0.1.15 [082447d4] ChainRules v1.72.5 [d360d2e6] ChainRulesCore v1.25.2 [944b1d66] CodecZlib v0.7.8 [35d6a980] ColorSchemes v3.30.0 ⌅ [3da002f7] ColorTypes v0.11.5 ⌃ [c3611d14] ColorVectorSpace v0.10.0 [5ae59095] Colors v0.13.1 [861a8166] Combinatorics v1.0.3 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.17.0 [5224ae11] CompatHelperLocal v0.1.27 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [f0e56b4a] ConcurrentUtilities v2.5.0 [98bfc277] ConformalPrediction v0.1.13 [187b0558] ConstructionBase v1.6.0 [6add18c4] ContextVariablesX v0.1.3 [d38c429a] Contour v0.6.3 ⌃ [2f13d31b] CounterfactualExplanations v1.1.6 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.7.0 [864edb3b] DataStructures v0.18.22 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[8e850ede] nghttp2_jll v1.65.0+0 [3f19e933] p7zip_jll v17.5.0+2 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... Precompiling packages... 51000.7 ms ✓ Documenter 1 dependency successfully precompiled in 52 seconds. 51 already precompiled. Precompiling packages... 9408.5 ms ✓ Latexify → DataFramesExt 2998.3 ms ✓ Unitful → ForwardDiffExt 44595.8 ms ✓ CounterfactualExplanations 21731.2 ms ✓ Plots → UnitfulExt 32712.6 ms ✓ CounterfactualExplanations → LaplaceReduxExt 30725.1 ms ✓ CounterfactualExplanations → DecisionTreeExt 60545.0 ms ✓ TaijaPlotting 7 dependencies successfully precompiled in 212 seconds. 405 already precompiled. ┌ Warning: Unable to determine HTML(edit_link = ...) from remote HEAD branch, defaulting to "master". │ Calling `git remote` failed with an exception. Set JULIA_DEBUG=Documenter to see the error. │ Unless this is due to a configuration error, the relevant variable should be set explicitly. └ @ Documenter ~/.julia/packages/Documenter/eoWm2/src/utilities/utilities.jl:665 [ Info: SetupBuildDirectory: setting up build directory. [ Info: Doctest: running doctests. [ Info: Skipped ExpandTemplates step (doctest only). [ Info: Skipped CrossReferences step (doctest only). [ Info: Skipped CheckDocument step (doctest only). [ Info: Skipped Populate step (doctest only). [ Info: Skipped RenderDocument step (doctest only). Test Summary: | Pass Total Time Doctests: ConformalPrediction | 1 1 53.9s [ Info: For silent loading, specify `verbosity=0`. import NearestNeighborModels ✔ [ Info: Training machine(AdaptiveInductiveClassifier(model = KNNClassifier(K = 5, …), …), …). [ Info: Training machine(AdaptiveInductiveClassifier(model = KNNClassifier(K = 5, …), …), …). [ Info: Training machine(AdaptiveInductiveClassifier(model = KNNClassifier(K = 5, …), …), …). [ Info: Training machine(NaiveClassifier(model = KNNClassifier(K = 5, …), …), …). [ Info: Training machine(NaiveClassifier(model = KNNClassifier(K = 5, …), …), …). [ Info: Training machine(NaiveClassifier(model = KNNClassifier(K = 5, …), …), …). [ Info: Training machine(SimpleInductiveClassifier(model = KNNClassifier(K = 5, …), …), …). [ Info: Training machine(SimpleInductiveClassifier(model = KNNClassifier(K = 5, …), …), …). [ Info: Training machine(SimpleInductiveClassifier(model = KNNClassifier(K = 5, …), …), …). [ Info: For silent loading, specify `verbosity=0`. import EvoTreesPrecompiling packages... 21676.6 ms ✓ GeometryBasics 7081.3 ms ✓ NetworkLayout 16136.2 ms ✓ EvoTrees 3 dependencies successfully precompiled in 48 seconds. 86 already precompiled. Precompiling packages... 19315.9 ms ✓ Plots → GeometryBasicsExt 1 dependency successfully precompiled in 22 seconds. 186 already precompiled. ✔ ┌ Info: Training machine(AdaptiveInductiveClassifier(model = EvoTrees.EvoTreeClassifier{EvoTrees.MLogLoss} │ - nrounds: 100 │ - L2: 0.0 │ - 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 │ - tree_type: binary │ - rng: Random.MersenneTwister(123) └ , …), …). ┌ Info: Training machine(AdaptiveInductiveClassifier(model = EvoTrees.EvoTreeClassifier{EvoTrees.MLogLoss} │ - nrounds: 100 │ - L2: 0.0 │ - 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 │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 8016, 7014, 286)) └ , …), …). ┌ Info: Training machine(AdaptiveInductiveClassifier(model = EvoTrees.EvoTreeClassifier{EvoTrees.MLogLoss} │ - nrounds: 100 │ - L2: 0.0 │ - 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 │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 15030, 14028, 172)) └ , …), …). ┌ Info: Training machine(NaiveClassifier(model = EvoTrees.EvoTreeClassifier{EvoTrees.MLogLoss} │ - nrounds: 100 │ - L2: 0.0 │ - 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 │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 22044, 21042, 158)) └ , …), …). ┌ Info: Training machine(NaiveClassifier(model = EvoTrees.EvoTreeClassifier{EvoTrees.MLogLoss} │ - nrounds: 100 │ - L2: 0.0 │ - 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 │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 36072, 35070, 30)) └ , …), …). ┌ Info: Training machine(NaiveClassifier(model = EvoTrees.EvoTreeClassifier{EvoTrees.MLogLoss} │ - nrounds: 100 │ - L2: 0.0 │ - 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 │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 49098, 48096, 504)) └ , …), …). ┌ Info: Training machine(SimpleInductiveClassifier(model = EvoTrees.EvoTreeClassifier{EvoTrees.MLogLoss} │ - nrounds: 100 │ - L2: 0.0 │ - 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 │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 63126, 62124, 76)) └ , …), …). ┌ Info: Training machine(SimpleInductiveClassifier(model = EvoTrees.EvoTreeClassifier{EvoTrees.MLogLoss} │ - nrounds: 100 │ - L2: 0.0 │ - 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 │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 160320, 159318, 779)) └ , …), …). ┌ Info: Training machine(SimpleInductiveClassifier(model = EvoTrees.EvoTreeClassifier{EvoTrees.MLogLoss} │ - nrounds: 100 │ - L2: 0.0 │ - 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 │ - tree_type: binary │ - rng: Random.MersenneTwister(123, (0, 167334, 166332, 665)) └ , …), …). [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ [ Info: Training machine(AdaptiveInductiveClassifier(model = RandomForestClassifier(max_depth = -1, …), …), …). [ Info: Training machine(AdaptiveInductiveClassifier(model = RandomForestClassifier(max_depth = -1, …), …), …). [ Info: Training machine(AdaptiveInductiveClassifier(model = RandomForestClassifier(max_depth = -1, …), …), …). [ Info: Training machine(NaiveClassifier(model = RandomForestClassifier(max_depth = -1, …), …), …). [ Info: Training machine(NaiveClassifier(model = RandomForestClassifier(max_depth = -1, …), …), …). [ Info: Training machine(NaiveClassifier(model = RandomForestClassifier(max_depth = -1, …), …), …). [ Info: Training machine(SimpleInductiveClassifier(model = RandomForestClassifier(max_depth = -1, …), …), …). [ Info: Training machine(SimpleInductiveClassifier(model = RandomForestClassifier(max_depth = -1, …), …), …). [ Info: Training machine(SimpleInductiveClassifier(model = RandomForestClassifier(max_depth = -1, …), …), …). [ Info: For silent loading, specify `verbosity=0`. import MLJLinearModels ✔ [ Info: Training machine(AdaptiveInductiveClassifier(model = LogisticClassifier(lambda = 2.220446049250313e-16, …), …), …). ┌ Info: Solver: MLJLinearModels.LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: Training machine(AdaptiveInductiveClassifier(model = LogisticClassifier(lambda = 2.220446049250313e-16, …), …), …). ┌ Info: Solver: MLJLinearModels.LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: Training machine(AdaptiveInductiveClassifier(model = LogisticClassifier(lambda = 2.220446049250313e-16, …), …), …). ┌ Info: Solver: MLJLinearModels.LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: Training machine(NaiveClassifier(model = LogisticClassifier(lambda = 2.220446049250313e-16, …), …), …). ┌ Info: Solver: MLJLinearModels.LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: Training machine(NaiveClassifier(model = LogisticClassifier(lambda = 2.220446049250313e-16, …), …), …). ┌ Info: Solver: MLJLinearModels.LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: Training machine(NaiveClassifier(model = LogisticClassifier(lambda = 2.220446049250313e-16, …), …), …). ┌ Info: Solver: MLJLinearModels.LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: Training machine(SimpleInductiveClassifier(model = LogisticClassifier(lambda = 2.220446049250313e-16, …), …), …). ┌ Info: Solver: MLJLinearModels.LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: Training machine(SimpleInductiveClassifier(model = LogisticClassifier(lambda = 2.220446049250313e-16, …), …), …). ┌ Info: Solver: MLJLinearModels.LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: Training machine(SimpleInductiveClassifier(model = LogisticClassifier(lambda = 2.220446049250313e-16, …), …), …). ┌ Info: Solver: MLJLinearModels.LBFGS{Optim.Options{Float64, Nothing}, @NamedTuple{}} │ optim_options: Optim.Options{Float64, Nothing} └ lbfgs_options: @NamedTuple{} NamedTuple() [ Info: For silent loading, specify `verbosity=0`. import MLJDecisionTreeInterface ✔ [ Info: Training machine(AdaptiveInductiveClassifier(model = DecisionTreeClassifier(max_depth = -1, …), …), …). [ Info: Training machine(AdaptiveInductiveClassifier(model = DecisionTreeClassifier(max_depth = -1, …), …), …). [ Info: Training machine(AdaptiveInductiveClassifier(model = DecisionTreeClassifier(max_depth = -1, …), …), …). [ Info: Training machine(NaiveClassifier(model = DecisionTreeClassifier(max_depth = -1, …), …), …). [ Info: Training machine(NaiveClassifier(model = DecisionTreeClassifier(max_depth = -1, …), …), …). [ Info: Training machine(NaiveClassifier(model = DecisionTreeClassifier(max_depth = -1, …), …), …). [ Info: Training machine(SimpleInductiveClassifier(model = DecisionTreeClassifier(max_depth = -1, …), …), …). [ Info: Training machine(SimpleInductiveClassifier(model = DecisionTreeClassifier(max_depth = -1, …), …), …). [ Info: Training machine(SimpleInductiveClassifier(model = DecisionTreeClassifier(max_depth = -1, …), …), …). [ Info: For silent loading, specify `verbosity=0`. import MLJLinearModels ✔ ┌ Warning: This test is skipped as the method is not suitable for Quantile Regression └ @ Main ~/.julia/packages/ConformalPrediction/bz1ka/test/regression.jl:80 [ Info: Training machine(CVPlusRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(CVPlusRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(NaiveRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.Analytical │ iterative: Bool false └ max_inner: Int64 200 [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(NaiveRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.Analytical │ iterative: Bool false └ max_inner: Int64 200 [ Info: Training machine(JackknifePlusAbMinMaxRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(JackknifePlusAbMinMaxRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(JackknifePlusAbRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(JackknifePlusAbRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(JackknifePlusRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(JackknifePlusRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(CVMinMaxRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(CVMinMaxRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(JackknifeRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.Analytical │ iterative: Bool false └ max_inner: Int64 200 [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(JackknifeRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.Analytical │ iterative: Bool false └ max_inner: Int64 200 [ Info: Training machine(JackknifeMinMaxRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(JackknifeMinMaxRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(TimeSeriesRegressorEnsembleBatch(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(TimeSeriesRegressorEnsembleBatch(model = RidgeRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(SimpleInductiveRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.Analytical │ iterative: Bool false └ max_inner: Int64 200 [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(SimpleInductiveRegressor(model = RidgeRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.Analytical │ iterative: Bool false └ max_inner: Int64 200 [ Info: For silent loading, specify `verbosity=0`. import MLJLinearModels ✔ ┌ Warning: This test is skipped as the method is not suitable for Quantile Regression └ @ Main ~/.julia/packages/ConformalPrediction/bz1ka/test/regression.jl:80 [ Info: Training machine(CVPlusRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(CVPlusRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(NaiveRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.ProxGrad │ accel: Bool true │ max_iter: Int64 1000 │ tol: Float64 0.0001 │ max_inner: Int64 100 │ beta: Float64 0.8 └ gram: Bool false [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(NaiveRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.ProxGrad │ accel: Bool true │ max_iter: Int64 1000 │ tol: Float64 0.0001 │ max_inner: Int64 100 │ beta: Float64 0.8 └ gram: Bool false [ Info: Training machine(JackknifePlusAbMinMaxRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(JackknifePlusAbMinMaxRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(JackknifePlusAbRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(JackknifePlusAbRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(JackknifePlusRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(JackknifePlusRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(CVMinMaxRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(CVMinMaxRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(JackknifeRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.ProxGrad │ accel: Bool true │ max_iter: Int64 1000 │ tol: Float64 0.0001 │ max_inner: Int64 100 │ beta: Float64 0.8 └ gram: Bool false [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(JackknifeRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.ProxGrad │ accel: Bool true │ max_iter: Int64 1000 │ tol: Float64 0.0001 │ max_inner: Int64 100 │ beta: Float64 0.8 └ gram: Bool false [ Info: Training machine(JackknifeMinMaxRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(JackknifeMinMaxRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(TimeSeriesRegressorEnsembleBatch(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(TimeSeriesRegressorEnsembleBatch(model = LassoRegressor(lambda = 1.0, …), …), …). [ Info: Training machine(SimpleInductiveRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.ProxGrad │ accel: Bool true │ max_iter: Int64 1000 │ tol: Float64 0.0001 │ max_inner: Int64 100 │ beta: Float64 0.8 └ gram: Bool false [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. [ Info: Training machine(SimpleInductiveRegressor(model = LassoRegressor(lambda = 1.0, …), …), …). ┌ Info: Solver: MLJLinearModels.ProxGrad │ accel: Bool true │ max_iter: Int64 1000 │ tol: Float64 0.0001 │ max_inner: Int64 100 │ beta: Float64 0.8 └ gram: Bool false [ Info: For silent loading, specify `verbosity=0`. import EvoTrees ✔ ┌ Warning: This test is skipped as the method is not suitable for Quantile Regression └ @ Main ~/.julia/packages/ConformalPrediction/bz1ka/test/regression.jl:80 ┌ Info: Training machine(CVPlusRegressor(model = EvoTrees.EvoTreeRegressor{EvoTrees.MSE} │ - nrounds: 100 │ - L2: 0.0 │ - 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 │ - rng: Random.MersenneTwister(123) └ , …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. ┌ Info: Training machine(CVPlusRegressor(model = EvoTrees.EvoTreeRegressor{EvoTrees.MSE} │ - nrounds: 100 │ - L2: 0.0 │ - 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 │ - rng: Random.MersenneTwister(123, (0, 43086, 42084, 916)) └ , …), …). ┌ Info: Training machine(NaiveRegressor(model = EvoTrees.EvoTreeRegressor{EvoTrees.MSE} │ - nrounds: 100 │ - L2: 0.0 │ - 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 │ - rng: Random.MersenneTwister(123, (0, 84168, 83166, 435)) └ , …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. ┌ Info: Training machine(NaiveRegressor(model = EvoTrees.EvoTreeRegressor{EvoTrees.MSE} │ - nrounds: 100 │ - L2: 0.0 │ - 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 │ - rng: Random.MersenneTwister(123, (0, 91182, 90180, 721)) └ , …), …). ┌ Info: Training machine(JackknifePlusAbMinMaxRegressor(model = EvoTrees.EvoTreeRegressor{EvoTrees.MSE} │ - nrounds: 100 │ - L2: 0.0 │ - 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 │ - rng: Random.MersenneTwister(123, (0, 98196, 97194, 607)) └ , …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. ┌ Info: Training machine(JackknifePlusAbMinMaxRegressor(model = EvoTrees.EvoTreeRegressor{EvoTrees.MSE} │ - nrounds: 100 │ - L2: 0.0 │ - 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 │ - rng: Random.MersenneTwister(123, (0, 233466, 232464, 341)) └ , …), …). ┌ Info: Training machine(JackknifePlusAbRegressor(model = EvoTrees.EvoTreeRegressor{EvoTrees.MSE} │ - nrounds: 100 │ - L2: 0.0 │ - 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 │ - rng: Random.MersenneTwister(123, (0, 356712, 355710, 101)) └ , …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. ┌ Info: Training machine(JackknifePlusAbRegressor(model = EvoTrees.EvoTreeRegressor{EvoTrees.MSE} │ - nrounds: 100 │ - L2: 0.0 │ - 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 │ - rng: Random.MersenneTwister(123, (0, 490980, 489978, 836)) └ , …), …). ┌ Info: Training machine(JackknifePlusRegressor(model = EvoTrees.EvoTreeRegressor{EvoTrees.MSE} │ - nrounds: 100 │ - L2: 0.0 │ - 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 │ - rng: Random.MersenneTwister(123, (0, 614226, 613224, 593)) └ , …), …). [ Info: Multivariate input for regression with no input variable (`input_var`) specified: defaulting to first variable. ┌ Info: Training machine(JackknifePlusRegressor(model = EvoTrees.EvoTreeRegressor{EvoTrees.MSE} │ - nrounds: 100 │ - L2: 0.0 │ - 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 │ - rng: Random.MersenneTwister(123, (0, 3973932, 3972930, 532)) └ , …), …). ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 277 running 1 of 1 signal (10): User defined signal 1 getindex at ./essentials.jl:967 [inlined] getindex at ./array.jl:938 [inlined] getindex at ./multidimensional.jl:769 [inlined] _broadcast_getindex at ./broadcast.jl:667 [inlined] _getindex at ./broadcast.jl:697 [inlined] _broadcast_getindex at ./broadcast.jl:673 [inlined] _getindex at ./broadcast.jl:622 [inlined] getindex at ./broadcast.jl:618 [inlined] macro expansion at ./broadcast.jl:997 [inlined] macro expansion at ./simdloop.jl:77 [inlined] copyto! at ./broadcast.jl:996 [inlined] copyto! at ./broadcast.jl:949 [inlined] materialize! at ./broadcast.jl:907 [inlined] materialize! at ./broadcast.jl:904 [inlined] grow_tree! at /home/pkgeval/.julia/packages/EvoTrees/73o4j/src/fit.jl:87 grow_evotree! at /home/pkgeval/.julia/packages/EvoTrees/73o4j/src/fit.jl:18 grow_evotree! at /home/pkgeval/.julia/packages/EvoTrees/73o4j/src/fit.jl:9 unknown function (ip: 0x76f943588c7c) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 fit at /home/pkgeval/.julia/packages/EvoTrees/73o4j/src/MLJ.jl:10 fit at /home/pkgeval/.julia/packages/EvoTrees/73o4j/src/MLJ.jl:3 [inlined] fit at /home/pkgeval/.julia/packages/ConformalPrediction/bz1ka/src/conformal_models/transductive_regression.jl:197 unknown function (ip: 0x76f9435d7e6e) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2346 [inlined] jl_f__apply_iterate at /source/src/builtins.c:864 #fit_only!#58 at /home/pkgeval/.julia/packages/MLJBase/v5sA7/src/machines.jl:692 fit_only! at /home/pkgeval/.julia/packages/MLJBase/v5sA7/src/machines.jl:617 [inlined] #fit!#66 at /home/pkgeval/.julia/packages/MLJBase/v5sA7/src/machines.jl:789 [inlined] fit! at /home/pkgeval/.julia/packages/MLJBase/v5sA7/src/machines.jl:786 unknown function (ip: 0x76f9435cb736) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 macro expansion at /home/pkgeval/.julia/packages/ConformalPrediction/bz1ka/test/regression.jl:43 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [inlined] macro expansion at /home/pkgeval/.julia/packages/ConformalPrediction/bz1ka/test/regression.jl:39 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [inlined] macro expansion at /home/pkgeval/.julia/packages/ConformalPrediction/bz1ka/test/regression.jl:30 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [inlined] macro expansion at /home/pkgeval/.julia/packages/ConformalPrediction/bz1ka/test/regression.jl:26 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [inlined] top-level scope at /home/pkgeval/.julia/packages/ConformalPrediction/bz1ka/test/regression.jl:23 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_invoke at /source/src/gf.c:4022 jl_toplevel_eval_flex at /source/src/toplevel.c:762 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2848 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 _include at ./loading.jl:2908 include at ./Base.jl:312 IncludeInto at ./Base.jl:313 jfptr_IncludeInto_67279.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2346 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2848 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 _include at ./loading.jl:2908 include at ./Base.jl:312 IncludeInto at ./Base.jl:313 jfptr_IncludeInto_67279.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2346 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 exec_options at ./client.jl:286 _start at ./client.jl:553 jfptr__start_66188.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2346 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x76f97a2f7249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1192 wait_forever at ./task.jl:1129 jfptr_wait_forever_54969.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2346 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x0000771899ad9d20 Total snapshots: 451. Utilization: 0% ╎451 @Base/task.jl:1129 wait_forever() 450╎ 451 @Base/task.jl:1192 wait() ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x000076f960000010 Total snapshots: 174. Utilization: 100% ╎174 @Base/client.jl:553 _start() ╎ 174 @Base/client.jl:286 exec_options(opts::Base.JLOptions) ╎ 174 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ 174 @Base/Base.jl:313 (::Base.IncludeInto)(fname::String) ╎ 174 @Base/Base.jl:312 include(mapexpr::Function, mod::Module, _path::S… ╎ 174 @Base/loading.jl:2908 _include(mapexpr::Function, mod::Module, _p… ╎ ╎ 174 @Base/loading.jl:2848 include_string(mapexpr::typeof(identity), … ╎ ╎ 174 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ ╎ 174 @Base/Base.jl:313 (::Base.IncludeInto)(fname::String) ╎ ╎ 174 @Base/Base.jl:312 include(mapexpr::Function, mod::Module, _pa… ╎ ╎ 174 @Base/loading.jl:2908 _include(mapexpr::Function, mod::Modul… ╎ ╎ ╎ 174 @Base/loading.jl:2848 include_string(mapexpr::typeof(identi… ╎ ╎ ╎ 174 @Base/boot.jl:489 eval(m::Module, e::Any) ╎ ╎ ╎ 174 …st/regression.jl:23 top-level scope ╎ ╎ ╎ 174 @Test/…rc/Test.jl:1858 macro expansion ╎ ╎ ╎ 174 …st/regression.jl:26 macro expansion ╎ ╎ ╎ ╎ 174 @Test/…c/Test.jl:1858 macro expansion ╎ ╎ ╎ ╎ 174 …t/regression.jl:30 macro expansion ╎ ╎ ╎ ╎ 174 @Test/…c/Test.jl:1858 macro expansion ╎ ╎ ╎ ╎ 174 …/regression.jl:39 macro expansion ╎ ╎ ╎ ╎ 174 @Test/…/Test.jl:1858 macro expansion ╎ ╎ ╎ ╎ ╎ 174 …regression.jl:43 macro expansion ╎ ╎ ╎ ╎ ╎ 174 @MLJBase/…s.jl:786 kwcall(::@NamedTuple{rows::Ve… ╎ ╎ ╎ ╎ ╎ 174 @MLJBase/…s.jl:789 #fit!#66 ╎ ╎ ╎ ╎ ╎ 174 @MLJBase/…s.jl:617 fit_only! ╎ ╎ ╎ ╎ ╎ 174 @MLJBase/….jl:692 fit_only!(mach::Machine{Con… ╎ ╎ ╎ ╎ ╎ ╎ 174 @ConformalPrediction/…:197 fit(conf_model::C… ╎ ╎ ╎ ╎ ╎ ╎ 174 @EvoTrees/…jl:3 fit ╎ ╎ ╎ ╎ ╎ ╎ 2 @EvoTrees/…l:7 fit(model::EvoTrees.EvoTree… ╎ ╎ ╎ ╎ ╎ ╎ 1 @EvoTrees/…l:89 init_core(params::EvoTree… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:115 Dict ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:117 Dict ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:643 dict_with_eltype(DT_a… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:610 grow_to! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:631 grow_to!(dest::Dict… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ct.jl:628 grow_to!(dest::Dic… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…on.jl:180 promote_typejoin(… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…on.jl:51 typejoin(a::Any, … ╎ ╎ ╎ ╎ ╎ ╎ 1 @EvoTrees/…l:99 init_core(params::EvoTree… ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:813 collect(itr::Base.Gener… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:839 collect_to_with_first!… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:861 collect_to!(dest::Vec… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…or.jl:48 iterate ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 none:? (::EvoTrees.var"#init_core##0… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @EvoTrees/…l:21 EvoTrees.TrainNode(… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:803 collect(itr::Base… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…or.jl:48 iterate ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 none:? #TrainNode##4 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:596 zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:598 zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ay.jl:602 zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Base/…ay.jl:335 fill! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Base/…ay.jl:339 _fill! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @Base/…ay.jl:995 setindex! 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 @Base/…ay.jl:1000 _setindex! ╎ ╎ ╎ ╎ ╎ ╎ 172 @EvoTrees/…l:10 fit(model::EvoTrees.EvoTre… ╎ ╎ ╎ ╎ ╎ ╎ 172 @EvoTrees/…l:9 grow_evotree!(m::EvoTrees.… ╎ ╎ ╎ ╎ ╎ ╎ 1 @EvoTrees/…l:11 grow_evotree!(m::EvoTree… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @EvoTrees/…l:27 subsample(is_in::Vector… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…st.jl:896 materialize ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…st.jl:921 copy ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…st.jl:949 copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…st.jl:993 copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…st.jl:976 preprocess ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…st.jl:979 preprocess_args ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…st.jl:977 preprocess 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…st.jl:970 broadcast_unal… ╎ ╎ ╎ ╎ ╎ ╎ 2 @EvoTrees/…l:16 grow_evotree!(m::EvoTree… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @EvoTrees/…l:55 EvoTrees.Tree{EvoTrees.… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:597 zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:601 zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ot.jl:661 Array ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ot.jl:648 Array 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ot.jl:588 GenericMemory ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @EvoTrees/…l:35 Tree ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:620 convert ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:627 Array ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:1182 copyto_axcheck! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:321 copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:319 _copyto2arg! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:294 copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:308 _copyto_impl! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ry.jl:137 unsafe_copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ry.jl:158 unsafe_copyto… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Base/…ls.jl:976 setindex! ╎ ╎ ╎ ╎ ╎ ╎ 169 @EvoTrees/…l:18 grow_evotree!(m::EvoTree… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @EvoTrees/…l:58 grow_tree!(tree::EvoTre… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:321 eachindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:137 axes1 ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:98 axes 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:194 size ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @EvoTrees/…l:59 grow_tree!(tree::EvoTre… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…st.jl:904 materialize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…st.jl:907 materialize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…st.jl:957 copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:335 fill! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:340 _fill! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ge.jl:923 iterate 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…on.jl:637 == ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @EvoTrees/…l:60 grow_tree!(tree::EvoTre… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…st.jl:904 materialize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…st.jl:907 materialize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…st.jl:957 copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:335 fill! 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:340 _fill! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @EvoTrees/…l:69 grow_tree!(tree::EvoTre… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @Base/…im.jl:984 sum ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @Base/…im.jl:984 #sum#738 ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @Base/…im.jl:1012 _sum ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @Base/…im.jl:1012 #_sum#764 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @Base/…im.jl:330 mapreduce ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @Base/…im.jl:330 #mapreduce#730 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @Base/…im.jl:344 _mapreduce_dim(… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @Base/…im.jl:297 mapreducedim!(… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 @Base/…im.jl:288 _mapreducedim… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 4 @Base/…op.jl:77 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 4 @Base/…im.jl:289 macro expansi… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Base/…ay.jl:1356 getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @Base/…ay.jl:1402 _getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 @Base/…ay.jl:316 getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +6 1 @Base/…ay.jl:1359 getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +7 1 @Base/…ay.jl:938 getindex 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +8 1 @Base/…ls.jl:967 getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Base/…ay.jl:938 getindex 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @Base/…ls.jl:967 getindex 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Base/…at.jl:345 Float64 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Base/…ce.jl:19 add_sum 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @Base/…at.jl:492 + ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 @EvoTrees/…l:83 grow_tree!(tree::EvoTre… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 @Base/…st.jl:904 materialize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 @Base/…st.jl:907 materialize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 @Base/…st.jl:949 copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @Base/…st.jl:996 copyto! 2╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Base/…op.jl:75 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…op.jl:77 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…st.jl:997 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…al.jl:771 setindex! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:1006 setindex! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:1012 _setindex! 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…er.jl:57 getproperty 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…on.jl:0 copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @EvoTrees/…l:87 grow_tree!(tree::EvoTre… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @Base/…st.jl:904 materialize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @Base/…st.jl:907 materialize! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @Base/…st.jl:949 copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @Base/…st.jl:996 copyto! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @Base/…op.jl:77 macro expansion 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @Base/…st.jl:997 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…st.jl:618 getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…st.jl:622 _getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…st.jl:673 _broadcast_ge… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…st.jl:697 _getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Base/…st.jl:667 _broadcast_ge… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Base/…al.jl:769 getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @Base/…ay.jl:938 getindex 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 @Base/…ls.jl:0 getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…al.jl:771 setindex! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:1006 setindex! ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:1011 _setindex! 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ay.jl:698 checkbounds ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 @EvoTrees/…l:91 grow_tree!(tree::EvoTre… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 @EvoTrees/…l:233 update_hist! 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 @Base/…ts.jl:213 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ts.jl:175 threading_run(fun::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ot.jl:648 Array 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ot.jl:588 GenericMemory ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Base/…ts.jl:177 threading_run(fun::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Base/…sk.jl:5 Task ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Base/…sk.jl:5 Task 2╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Base/…ot.jl:578 _Task ╎ ╎ ╎ ╎ ╎ ╎ ╎ 4 @Base/…ts.jl:191 threading_run(fun::… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…sk.jl:308 _wait(t::Task) ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @Base/…sk.jl:312 _wait(t::Task) ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @Base/…on.jl:136 wait ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @Base/…on.jl:141 wait(c::Base.Gen… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Base/…sk.jl:1180 wait() 2╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Base/…uv.jl:133 process_events ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…sk.jl:1184 wait() ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…sk.jl:1155 trypoptask(W:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…sk.jl:865 isempty 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…er.jl:57 getproperty ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @EvoTrees/…l:94 grow_tree!(tree::EvoTre… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @Base/…ts.jl:213 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ts.jl:177 threading_run(fun::E… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…sk.jl:5 Task ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…sk.jl:5 Task 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ot.jl:578 _Task ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ts.jl:191 threading_run(fun::E… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…sk.jl:312 _wait(t::Task) ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…on.jl:136 wait ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…on.jl:141 wait(c::Base.Gene… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…sk.jl:1180 wait() 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…uv.jl:133 process_events ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @EvoTrees/…l:100 grow_tree!(tree::EvoTr… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ls.jl:966 getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ls.jl:387 checkbounds 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ls.jl:383 checkbounds ╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @EvoTrees/…l:101 grow_tree!(tree::EvoTr… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 2 @EvoTrees/…l:130 pred_leaf_cpu! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:1006 setindex! 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:1012 _setindex! ╎ ╎ ╎ ╎ ╎ ╎ ╎ 139 @EvoTrees/…l:114 grow_tree!(tree::EvoTr… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @EvoTrees/…l:176 split_set_threads!(ou… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:597 zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:601 zeros ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ot.jl:661 Array 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ot.jl:649 Array ╎ ╎ ╎ ╎ ╎ ╎ ╎ 9 @EvoTrees/…l:178 split_set_threads!(ou… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 9 @Base/…ts.jl:213 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 @Base/…ts.jl:191 threading_run(fun::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 @Base/…sk.jl:312 _wait(t::Task) ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 8 @Base/…on.jl:136 wait ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 7 @Base/…on.jl:141 wait(c::Base.Gen… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 6 @Base/…sk.jl:1180 wait() 5╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 6 @Base/…uv.jl:133 process_events ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…sk.jl:1184 wait() ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…sk.jl:1156 trypoptask(W:… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…sk.jl:898 popfirst!(W::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…mt.jl:103 unlock ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +2 1 @Base/…ls.jl:160 enable_finali… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +3 1 @Base/…rs.jl:321 != ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +4 1 @Base/…on.jl:487 == 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +5 1 @Base/…on.jl:637 == ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…on.jl:146 wait(c::Base.Gen… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…on.jl:24 relockall ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…mt.jl:78 lock(l::Base.Th… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…mt.jl:89 trylock 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ +1 1 @Base/…ls.jl:166 disable_final… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ts.jl:193 threading_run(fun::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 124 @EvoTrees/…l:195 split_set_threads!(ou… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 124 @Base/…te.jl:149 cumsum ╎ ╎ ╎ ╎ ╎ ╎ ╎ 124 @Base/…te.jl:116 cumsum ╎ ╎ ╎ ╎ ╎ ╎ ╎ 124 @Base/…te.jl:117 #cumsum#799 ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 124 @Base/…ay.jl:380 similar ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 124 @Base/…ot.jl:648 Array 124╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 124 @Base/…ot.jl:588 GenericMemory ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @EvoTrees/…l:198 split_set_threads!(ou… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @Base/…ts.jl:213 macro expansion ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @Base/…ts.jl:191 threading_run(fun::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @Base/…sk.jl:312 _wait(t::Task) ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @Base/…on.jl:136 wait 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 5 @Base/…on.jl:141 wait(c::Base.Gen… ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @Base/…sk.jl:1180 wait() 3╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 3 @Base/…uv.jl:133 process_events ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…sk.jl:1184 wait() ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…sk.jl:1156 trypoptask(W:… 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…sk.jl:894 popfirst!(W::… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @EvoTrees/…l:128 grow_tree!(tree::EvoTr… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:1356 getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…al.jl:982 _getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…al.jl:994 _unsafe_getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:821 similar ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:832 similar ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:383 similar ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ot.jl:661 Array ╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ot.jl:648 Array 1╎ ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ot.jl:588 GenericMemory ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @EvoTrees/…l:129 grow_tree!(tree::EvoTr… ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:1356 getindex ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…es.jl:359 to_indices ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:98 axes 1╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 @Base/…ay.jl:194 size Task 0x000076f8909defe0 Total snapshots: 1. Utilization: 100% ╎1 @Base/task.jl:839 task_done_hook(t::Task) ╎ 1 @Base/task.jl:1180 wait() ╎ 1 @Base/libuv.jl:133 process_events Task 0x000076f8909c9690 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:318 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51 cumsum! ╎ ╎ 1 @Base/accumulate.jl:51 #cumsum!#797 ╎ ╎ 1 @Base/accumulate.jl:347 accumulate! ╎ ╎ 1 @Base/accumulate.jl:350 #accumulate!#807 ╎ ╎ 1 @Base/accumulate.jl:399 _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:413 _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 @Base/…imensional.jl:769 getindex ╎ ╎ ╎ 1 @Base/array.jl:937 getindex ╎ ╎ ╎ 1 @Base/…tractarray.jl:698 checkbounds Task 0x000076f8907cc880 Total snapshots: 1. Utilization: 100% ╎1 @Base/task.jl:839 task_done_hook(t::Task) ╎ 1 @Base/task.jl:1180 wait() ╎ 1 @Base/libuv.jl:133 process_events Task 0x000076f890773b20 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:318 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51 cumsum! ╎ ╎ 1 @Base/accumulate.jl:51 #cumsum!#797 ╎ ╎ 1 @Base/accumulate.jl:347 accumulate! ╎ ╎ 1 @Base/accumulate.jl:350 #accumulate!#807 ╎ ╎ 1 @Base/accumulate.jl:399 _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:413 _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 @Base/…imensional.jl:769 getindex ╎ ╎ ╎ 1 @Base/array.jl:938 getindex ╎ ╎ ╎ 1 @Base/essentials.jl:967 getindex Task 0x000076f890631ff0 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:319 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:904 materialize! ╎ ╎ 1 @Base/broadcast.jl:907 materialize! ╎ ╎ 1 @Base/broadcast.jl:949 copyto! ╎ ╎ 1 @Base/broadcast.jl:996 copyto! ╎ ╎ 1 @Base/simdloop.jl:77 macro expansion ╎ ╎ 1 @Base/broadcast.jl:997 macro expansion ╎ ╎ ╎ 1 @Base/broadcast.jl:618 getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:622 _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:673 _broadcast_getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:697 _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:667 _broadcast_getindex ╎ ╎ ╎ ╎ 1 @Base/…sentials.jl:967 getindex Task 0x000076f890601960 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #update_grads!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#update_grads!##0#update_gr… ╎ 1 @EvoTrees/src/loss.jl:4 macro expansion ╎ 1 @Base/essentials.jl:967 getindex Task 0x000076f8905313c0 Total snapshots: 1. Utilization: 100% ╎1 @Base/task.jl:839 task_done_hook(t::Task) ╎ 1 @Base/task.jl:1180 wait() ╎ 1 @Base/libuv.jl:133 process_events Task 0x000076f89050ae00 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:318 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51 cumsum! ╎ ╎ 1 @Base/accumulate.jl:51 #cumsum!#797 ╎ ╎ 1 @Base/accumulate.jl:347 accumulate! ╎ ╎ 1 @Base/accumulate.jl:350 #accumulate!#807 ╎ ╎ 1 @Base/accumulate.jl:399 _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:416 _accumulaten!(op::typeof(Base.add_sum), … Task 0x000076f8904da680 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:319 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:904 materialize! ╎ ╎ 1 @Base/broadcast.jl:907 materialize! ╎ ╎ 1 @Base/broadcast.jl:949 copyto! ╎ ╎ 1 @Base/broadcast.jl:996 copyto! ╎ ╎ 1 @Base/simdloop.jl:77 macro expansion ╎ ╎ 1 @Base/broadcast.jl:997 macro expansion ╎ ╎ ╎ 1 @Base/broadcast.jl:618 getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:622 _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:673 _broadcast_getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:697 _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:698 _getindex ╎ ╎ ╎ ╎ 1 @Base/broadcast.jl:667 _broadcast_getindex ╎ ╎ ╎ ╎ 1 @Base/…ensional.jl:769 getindex ╎ ╎ ╎ ╎ 1 @Base/array.jl:938 getindex ╎ ╎ ╎ ╎ 1 @Base/…entials.jl:967 getindex Task 0x000076f8904b7df0 Total snapshots: 1. Utilization: 100% ╎1 @Base/task.jl:839 task_done_hook(t::Task) ╎ 1 @Base/task.jl:1180 wait() ╎ 1 @Base/libuv.jl:133 process_events Task 0x000076f890476ef0 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #update_hist!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#update_hist!##0#update_his… ╎ 1 @EvoTrees/…/fit-utils.jl:234 macro expansion ╎ 1 @Base/simdloop.jl:77 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:236 macro expansion ╎ ╎ 1 @Base/abstractarray.jl:1359 getindex ╎ ╎ 1 @Base/array.jl:938 getindex ╎ ╎ 1 @Base/essentials.jl:967 getindex Task 0x000076f88ff62770 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:318 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51 cumsum! ╎ ╎ 1 @Base/accumulate.jl:51 #cumsum!#797 ╎ ╎ 1 @Base/accumulate.jl:347 accumulate! ╎ ╎ 1 @Base/accumulate.jl:350 #accumulate!#807 ╎ ╎ 1 @Base/accumulate.jl:399 _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:413 _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 @Base/…imensional.jl:769 getindex ╎ ╎ ╎ 1 @Base/array.jl:937 getindex ╎ ╎ ╎ 1 @Base/…tractarray.jl:698 checkbounds Task 0x000076f88ff20b50 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #split_set_threads!##4 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#split_set_threads!##4#spli… ╎ 1 @EvoTrees/…/fit-utils.jl:199 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:145 split_views_kernel!(out::Vector{UInt32}, l… Task 0x000076f88fee9a50 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:319 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:904 materialize! ╎ ╎ 1 @Base/broadcast.jl:907 materialize! ╎ ╎ 1 @Base/broadcast.jl:949 copyto! ╎ ╎ 1 @Base/broadcast.jl:996 copyto! ╎ ╎ 1 @Base/simdloop.jl:77 macro expansion ╎ ╎ 1 @Base/broadcast.jl:997 macro expansion ╎ ╎ ╎ 1 @Base/broadcast.jl:618 getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:622 _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:673 _broadcast_getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:697 _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:698 _getindex ╎ ╎ ╎ ╎ 1 @Base/broadcast.jl:667 _broadcast_getindex ╎ ╎ ╎ ╎ 1 @Base/…ensional.jl:769 getindex ╎ ╎ ╎ ╎ 1 @Base/array.jl:938 getindex ╎ ╎ ╎ ╎ 1 @Base/…entials.jl:966 getindex ╎ ╎ ╎ ╎ 1 @Base/…entials.jl:387 checkbounds Task 0x000076f88fe954b0 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:319 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:904 materialize! ╎ ╎ 1 @Base/broadcast.jl:907 materialize! ╎ ╎ 1 @Base/broadcast.jl:949 copyto! ╎ ╎ 1 @Base/broadcast.jl:996 copyto! ╎ ╎ 1 @Base/simdloop.jl:77 macro expansion ╎ ╎ 1 @Base/broadcast.jl:997 macro expansion ╎ ╎ ╎ 1 @Base/broadcast.jl:618 getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:622 _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:673 _broadcast_getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:697 _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:698 _getindex ╎ ╎ ╎ ╎ 1 @Base/broadcast.jl:667 _broadcast_getindex ╎ ╎ ╎ ╎ 1 @Base/…ensional.jl:769 getindex ╎ ╎ ╎ ╎ 1 @Base/array.jl:938 getindex ╎ ╎ ╎ ╎ 1 @Base/…entials.jl:967 getindex Task 0x000076f88fe83b20 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:318 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51 cumsum! ╎ ╎ 1 @Base/accumulate.jl:51 #cumsum!#797 ╎ ╎ 1 @Base/accumulate.jl:347 accumulate! ╎ ╎ 1 @Base/accumulate.jl:350 #accumulate!#807 ╎ ╎ 1 @Base/accumulate.jl:399 _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:413 _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 @Base/…imensional.jl:769 getindex ╎ ╎ ╎ 1 @Base/array.jl:937 getindex ╎ ╎ ╎ 1 @Base/…tractarray.jl:698 checkbounds Task 0x000076f88fe12ef0 Total snapshots: 1. Utilization: 100% ╎1 @Base/task.jl:838 task_done_hook(t::Task) Task 0x000076f88fddf760 Total snapshots: 1. Utilization: 100% ╎1 @Base/task.jl:1173 wait() Task 0x000076f88fd53760 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:318 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51 cumsum! ╎ ╎ 1 @Base/accumulate.jl:51 #cumsum!#797 ╎ ╎ 1 @Base/accumulate.jl:347 accumulate! ╎ ╎ 1 @Base/accumulate.jl:350 #accumulate!#807 ╎ ╎ 1 @Base/accumulate.jl:398 _accumulate!(op::typeof(Base.add_sum), B:… Task 0x000076f88fc92b30 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #split_set_threads!##4 ╎ 1 @Base/…dingconstructs.jl:243 (::EvoTrees.var"#split_set_threads!##4#spli… Task 0x000076f88faa6770 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:275 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @Base/essentials.jl:967 getindex Task 0x000076f88fa7d870 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:318 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51 cumsum! ╎ ╎ 1 @Base/accumulate.jl:51 #cumsum!#797 ╎ ╎ 1 @Base/accumulate.jl:347 accumulate! ╎ ╎ 1 @Base/accumulate.jl:350 #accumulate!#807 ╎ ╎ 1 @Base/accumulate.jl:399 _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:413 _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 @Base/…imensional.jl:769 getindex ╎ ╎ ╎ 1 @Base/array.jl:938 getindex ╎ ╎ ╎ 1 @Base/essentials.jl:967 getindex Task 0x000076f88fa09870 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:318 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51 cumsum! ╎ ╎ 1 @Base/accumulate.jl:51 #cumsum!#797 ╎ ╎ 1 @Base/accumulate.jl:347 accumulate! ╎ ╎ 1 @Base/accumulate.jl:350 #accumulate!#807 ╎ ╎ 1 @Base/accumulate.jl:397 _accumulate!(op::typeof(Base.add_sum), B:… Task 0x000076f88f9b93c0 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:319 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:904 materialize! ╎ ╎ 1 @Base/broadcast.jl:907 materialize! ╎ ╎ 1 @Base/broadcast.jl:949 copyto! ╎ ╎ 1 @Base/broadcast.jl:996 copyto! ╎ ╎ 1 @Base/simdloop.jl:77 macro expansion ╎ ╎ 1 @Base/broadcast.jl:997 macro expansion ╎ ╎ ╎ 1 @Base/broadcast.jl:618 getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:622 _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:673 _broadcast_getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:697 _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:667 _broadcast_getindex ╎ ╎ ╎ ╎ 1 @Base/…sentials.jl:967 getindex Task 0x000076f88f9a2950 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:318 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51 cumsum! ╎ ╎ 1 @Base/accumulate.jl:51 #cumsum!#797 ╎ ╎ 1 @Base/accumulate.jl:347 accumulate! ╎ ╎ 1 @Base/accumulate.jl:350 #accumulate!#807 ╎ ╎ 1 @Base/accumulate.jl:399 _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:0 _accumulaten!(op::typeof(Base.add_sum), B:… Task 0x000076f88f8fd4b0 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #115 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#115#116"{EvoTrees.var"#117… ╎ 1 @EvoTrees/…/fit-utils.jl:46 macro expansion ╎ 1 @Statistics/…tistics.jl:1093 quantile ╎ 1 @Statistics/…istics.jl:1093 quantile(v::SubArray{Float64, 1, Vector{F… ╎ ╎ 1 @Statistics/…istics.jl:964 quantile! ╎ ╎ 1 @Statistics/…istics.jl:968 #quantile!#45 ╎ ╎ 1 @Statistics/…istics.jl:994 _quantilesort!(v::Vector{Float64}, sort… ╎ ╎ 1 @Base/sort.jl:2529 sort!(v::Vector{Float64}, lo::Int64, hi::Int64… ╎ ╎ 1 @Base/sort.jl:2518 sort!(v::Vector{Float64}, lo::Int64, hi::Int6… ╎ ╎ ╎ 1 @Base/sort.jl:2441 partition!(v::Vector{Float64}, lo::Int64, hi… Task 0x000076f88f8c81f0 Total snapshots: 1. Utilization: 100% ╎1 @Base/task.jl:839 task_done_hook(t::Task) ╎ 1 @Base/task.jl:1180 wait() ╎ 1 @Base/libuv.jl:133 process_events Task 0x000076f88f82e770 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #split_set_threads!##4 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#split_set_threads!##4#spli… ╎ 1 @EvoTrees/…/fit-utils.jl:199 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:153 split_views_kernel!(out::Vector{UInt32}, l… ╎ 1 @Base/int.jl:522 <= Task 0x000076f88f7ead10 Total snapshots: 1. Utilization: 100% ╎1 @Base/task.jl:839 task_done_hook(t::Task) ╎ 1 @Base/task.jl:1195 wait() ╎ 1 @Base/task.jl:1093 try_yieldto(undo::typeof(Base.ensure_rescheduled)) Task 0x000076f88f7c3c10 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:319 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:904 materialize! ╎ ╎ 1 @Base/broadcast.jl:907 materialize! ╎ ╎ 1 @Base/broadcast.jl:949 copyto! ╎ ╎ 1 @Base/broadcast.jl:996 copyto! ╎ ╎ 1 @Base/simdloop.jl:77 macro expansion ╎ ╎ 1 @Base/broadcast.jl:997 macro expansion ╎ ╎ ╎ 1 @Base/broadcast.jl:618 getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:622 _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:673 _broadcast_getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:697 _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:667 _broadcast_getindex ╎ ╎ ╎ ╎ 1 @Base/…sentials.jl:967 getindex Task 0x000076f88f762c20 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:319 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:904 materialize! ╎ ╎ 1 @Base/broadcast.jl:907 materialize! ╎ ╎ 1 @Base/broadcast.jl:949 copyto! ╎ ╎ 1 @Base/broadcast.jl:996 copyto! ╎ ╎ 1 @Base/simdloop.jl:77 macro expansion ╎ ╎ 1 @Base/broadcast.jl:997 macro expansion ╎ ╎ ╎ 1 @Base/broadcast.jl:618 getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:622 _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:673 _broadcast_getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:697 _getindex ╎ ╎ ╎ 1 @Base/broadcast.jl:667 _broadcast_getindex ╎ ╎ ╎ ╎ 1 @Base/…sentials.jl:967 getindex Task 0x000076f88f746b30 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #split_set_threads!##4 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#split_set_threads!##4#spli… ╎ 1 @EvoTrees/…/fit-utils.jl:199 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:146 split_views_kernel!(out::Vector{UInt32}, l… ╎ 1 @Base/array.jl:995 setindex! ╎ ╎ 1 @Base/array.jl:1000 _setindex! Task 0x000076f88f7394b0 Total snapshots: 1. Utilization: 100% Task 0x000076f88f727ee0 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:318 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51 cumsum! ╎ ╎ 1 @Base/accumulate.jl:51 #cumsum!#797 ╎ ╎ 1 @Base/accumulate.jl:347 accumulate! ╎ ╎ 1 @Base/accumulate.jl:350 #accumulate!#807 ╎ ╎ 1 @Base/accumulate.jl:399 _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:413 _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 @Base/…imensional.jl:769 getindex ╎ ╎ ╎ 1 @Base/array.jl:938 getindex ╎ ╎ ╎ 1 @Base/essentials.jl:967 getindex Task 0x000076f88f6f60e0 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #split_set_threads!##4 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#split_set_threads!##4#spli… ╎ 1 @EvoTrees/…/fit-utils.jl:199 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:154 split_views_kernel!(out::Vector{UInt32}, l… ╎ 1 @Base/array.jl:995 setindex! ╎ ╎ 1 @Base/array.jl:1000 _setindex! Task 0x000076f88f511f00 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #update_hist!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#update_hist!##0#update_his… ╎ 1 @EvoTrees/…/fit-utils.jl:234 macro expansion ╎ 1 @Base/simdloop.jl:77 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:235 macro expansion ╎ ╎ 1 @Base/abstractarray.jl:1359 getindex ╎ ╎ 1 @Base/array.jl:938 getindex ╎ ╎ 1 @Base/…stractarray.jl:1391 _to_linear_index ╎ ╎ 1 @Base/…stractarray.jl:3063 _sub2ind ╎ ╎ 1 @Base/…tractarray.jl:3079 _sub2ind ╎ ╎ ╎ 1 @Base/…tractarray.jl:3095 _sub2ind_recurse ╎ ╎ ╎ 1 @Base/…tractarray.jl:3095 _sub2ind_recurse ╎ ╎ ╎ 1 @Base/int.jl:87 + Task 0x000076f88f50bdf0 Total snapshots: 1. Utilization: 100% ╎1 @Base/task.jl:839 task_done_hook(t::Task) ╎ 1 @Base/task.jl:1180 wait() ╎ 1 @Base/libuv.jl:133 process_events Task 0x000076f88f4e33a0 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:318 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51 cumsum! ╎ ╎ 1 @Base/accumulate.jl:51 #cumsum!#797 ╎ ╎ 1 @Base/accumulate.jl:347 accumulate! ╎ ╎ 1 @Base/accumulate.jl:350 #accumulate!#807 ╎ ╎ 1 @Base/accumulate.jl:399 _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:416 _accumulaten!(op::typeof(Base.add_sum), … Task 0x000076f88f482860 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:318 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51 cumsum! ╎ ╎ 1 @Base/accumulate.jl:51 #cumsum!#797 ╎ ╎ 1 @Base/accumulate.jl:347 accumulate! ╎ ╎ 1 @Base/accumulate.jl:350 #accumulate!#807 ╎ ╎ 1 @Base/accumulate.jl:399 _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:0 _accumulaten!(op::typeof(Base.add_sum), B:… Task 0x000076f88f47cc40 Total snapshots: 1. Utilization: 100% ╎1 @Base/task.jl:839 task_done_hook(t::Task) ╎ 1 @Base/task.jl:1180 wait() ╎ 1 @Base/libuv.jl:133 process_events Task 0x000076f88f437d00 Total snapshots: 1. Utilization: 100% ╎1 @Base/task.jl:839 task_done_hook(t::Task) ╎ 1 @Base/task.jl:0 trypoptask(W::Base.IntrusiveLinkedListSynchronized{Task}) Task 0x000076f88f432770 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:319 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/broadcast.jl:904 materialize! ╎ ╎ 1 @Base/broadcast.jl:907 materialize! ╎ ╎ 1 @Base/broadcast.jl:949 copyto! ╎ ╎ 1 @Base/broadcast.jl:996 copyto! ╎ ╎ 1 @Base/simdloop.jl:77 macro expansion ╎ ╎ 1 @Base/broadcast.jl:997 macro expansion ╎ ╎ ╎ 1 @Base/…imensional.jl:771 setindex! ╎ ╎ ╎ 1 @Base/array.jl:1006 setindex! ╎ ╎ ╎ 1 @Base/array.jl:1012 _setindex! Task 0x000076f88f42ca60 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #split_set_threads!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#split_set_threads!##0#spli… ╎ 1 @EvoTrees/…/fit-utils.jl:179 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:116 split_set_chunk!(left::Vector{UInt32}, rig… ╎ 1 @Base/subarray.jl:339 getindex ╎ ╎ 1 @Base/essentials.jl:967 getindex Task 0x000076f88f3cc970 Total snapshots: 1. Utilization: 100% ╎1 @Base/…adingconstructs.jl:177 (::Base.Threads.var"#threading_run##0#thread… ╎ 1 @Base/…dingconstructs.jl:243 #grow_tree!##0 ╎ 1 @Base/…dingconstructs.jl:276 (::EvoTrees.var"#grow_tree!##0#grow_tree!##… ╎ 1 @EvoTrees/src/fit.jl:95 macro expansion ╎ 1 @EvoTrees/…fit-utils.jl:318 update_gains!(node::EvoTrees.TrainNode{Sub… ╎ 1 @Base/accumulate.jl:51 cumsum! ╎ ╎ 1 @Base/accumulate.jl:51 #cumsum!#797 ╎ ╎ 1 @Base/accumulate.jl:347 accumulate! ╎ ╎ 1 @Base/accumulate.jl:350 #accumulate!#807 ╎ ╎ 1 @Base/accumulate.jl:399 _accumulate!(op::typeof(Base.add_sum), B:… ╎ ╎ 1 @Base/accumulate.jl:413 _accumulaten!(op::typeof(Base.add_sum), … ╎ ╎ ╎ 1 @Base/…imensional.jl:769 getindex ╎ ╎ ╎ 1 @Base/array.jl:938 getindex ╎ ╎ ╎ 1 @Base/essentials.jl:967 getindex [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1192 wait_forever at ./task.jl:1129 jfptr_wait_forever_54969.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2346 [inlined] start_task at /source/src/task.c:1249 unknown function (ip: (nil)) at (unknown file) Allocations: 31984378 (Pool: 31983714; Big: 664); GC: 30 [277] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/ConformalPrediction/bz1ka/test/regression.jl:22 * at ./float.jl:494 [inlined] get_gain at /home/pkgeval/.julia/packages/EvoTrees/73o4j/src/loss.jl:147 [inlined] grow_tree! at /home/pkgeval/.julia/packages/EvoTrees/73o4j/src/fit.jl:130 grow_evotree! at /home/pkgeval/.julia/packages/EvoTrees/73o4j/src/fit.jl:18 grow_evotree! at /home/pkgeval/.julia/packages/EvoTrees/73o4j/src/fit.jl:9 unknown function (ip: 0x76f943588c7c) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 fit at /home/pkgeval/.julia/packages/EvoTrees/73o4j/src/MLJ.jl:10 fit at /home/pkgeval/.julia/packages/EvoTrees/73o4j/src/MLJ.jl:3 [inlined] fit at /home/pkgeval/.julia/packages/ConformalPrediction/bz1ka/src/conformal_models/transductive_regression.jl:197 unknown function (ip: 0x76f9435d7e6e) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2346 [inlined] jl_f__apply_iterate at /source/src/builtins.c:864 #fit_only!#58 at /home/pkgeval/.julia/packages/MLJBase/v5sA7/src/machines.jl:692 fit_only! at /home/pkgeval/.julia/packages/MLJBase/v5sA7/src/machines.jl:617 [inlined] #fit!#66 at /home/pkgeval/.julia/packages/MLJBase/v5sA7/src/machines.jl:789 [inlined] fit! at /home/pkgeval/.julia/packages/MLJBase/v5sA7/src/machines.jl:786 unknown function (ip: 0x76f9435cb736) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 macro expansion at /home/pkgeval/.julia/packages/ConformalPrediction/bz1ka/test/regression.jl:43 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [inlined] macro expansion at /home/pkgeval/.julia/packages/ConformalPrediction/bz1ka/test/regression.jl:39 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [inlined] macro expansion at /home/pkgeval/.julia/packages/ConformalPrediction/bz1ka/test/regression.jl:30 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [inlined] macro expansion at /home/pkgeval/.julia/packages/ConformalPrediction/bz1ka/test/regression.jl:26 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.13/Test/src/Test.jl:1858 [inlined] top-level scope at /home/pkgeval/.julia/packages/ConformalPrediction/bz1ka/test/regression.jl:23 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_invoke at /source/src/gf.c:4022 jl_toplevel_eval_flex at /source/src/toplevel.c:762 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2848 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 _include at ./loading.jl:2908 include at ./Base.jl:312 IncludeInto at ./Base.jl:313 jfptr_IncludeInto_67279.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2346 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2848 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 _include at ./loading.jl:2908 include at ./Base.jl:312 IncludeInto at ./Base.jl:313 jfptr_IncludeInto_67279.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2346 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 exec_options at ./client.jl:286 _start at ./client.jl:553 jfptr__start_66188.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2346 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x76f97a2f7249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) Allocations: 573611148 (Pool: 573607066; Big: 4082); GC: 200 PkgEval terminated after 2723.78s: test duration exceeded the time limit