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1.5.0-DEV-ed177d17d6.log
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Julia Version 1.5.0-DEV.158
Commit ed177d17d6 (2020-01-27 16:45 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: Intel(R) Xeon(R) Silver 4114 CPU @ 2.20GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-8.0.1 (ORCJIT, skylake)
Environment:
JULIA_DEPOT_PATH = ::/usr/local/share/julia
JULIA_NUM_THREADS = 2
Resolving package versions...
Installed Parsers ───────────────────── v0.3.10
Installed SortingAlgorithms ─────────── v0.3.1
Installed Arpack ────────────────────── v0.4.0
Installed StatsFuns ─────────────────── v0.9.3
Installed QuadGK ────────────────────── v2.3.1
Installed MLJModels ─────────────────── v0.7.1
Installed MLJBase ───────────────────── v0.10.1
Installed Distributions ─────────────── v0.21.12
Installed Compat ────────────────────── v2.2.0
Installed OpenSpecFun_jll ───────────── v0.5.3+1
Installed BinaryProvider ────────────── v0.5.8
Installed OpenBLAS_jll ──────────────── v0.3.7+4
Installed Arpack_jll ────────────────── v3.5.0+2
Installed Tables ────────────────────── v0.2.11
Installed OrderedCollections ────────── v1.1.0
Installed SpecialFunctions ──────────── v0.9.0
Installed IteratorInterfaceExtensions ─ v1.0.0
Installed LossFunctions ─────────────── v0.5.1
Installed Distances ─────────────────── v0.8.2
Installed Parameters ────────────────── v0.12.0
Installed StatsBase ─────────────────── v0.32.0
Installed DataValueInterfaces ───────── v1.0.0
Installed ColorTypes ────────────────── v0.8.1
Installed FixedPointNumbers ─────────── v0.7.1
Installed DataStructures ────────────── v0.17.9
Installed Missings ──────────────────── v0.4.3
Installed JSON ──────────────────────── v0.21.0
Installed ComputationalResources ────── v0.3.0
Installed Formatting ────────────────── v0.4.1
Installed CategoricalArrays ─────────── v0.7.7
Installed TableTraits ───────────────── v1.0.0
Installed DataAPI ───────────────────── v1.1.0
Installed MultivariateStats ─────────── v0.7.0
Installed Crayons ───────────────────── v4.0.1
Installed PrettyTables ──────────────── v0.6.0
Installed ProgressMeter ─────────────── v1.2.0
Installed InvertedIndices ───────────── v1.0.0
Installed FillArrays ────────────────── v0.8.4
Installed Requires ──────────────────── v0.5.2
Installed Reexport ──────────────────── v0.2.0
Installed RecipesBase ───────────────── v0.7.0
Installed PDMats ────────────────────── v0.9.11
Installed Rmath ─────────────────────── v0.6.0
Installed ScientificTypes ───────────── v0.5.1
Installed LearnBase ─────────────────── v0.2.2
Updating `~/.julia/environments/v1.5/Project.toml`
[d491faf4] + MLJModels v0.7.1
Updating `~/.julia/environments/v1.5/Manifest.toml`
[7d9fca2a] + Arpack v0.4.0
[68821587] + Arpack_jll v3.5.0+2
[b99e7846] + BinaryProvider v0.5.8
[324d7699] + CategoricalArrays v0.7.7
[3da002f7] + ColorTypes v0.8.1
[34da2185] + Compat v2.2.0
[ed09eef8] + ComputationalResources v0.3.0
[a8cc5b0e] + Crayons v4.0.1
[9a962f9c] + DataAPI v1.1.0
[864edb3b] + DataStructures v0.17.9
[e2d170a0] + DataValueInterfaces v1.0.0
[b4f34e82] + Distances v0.8.2
[31c24e10] + Distributions v0.21.12
[1a297f60] + FillArrays v0.8.4
[53c48c17] + FixedPointNumbers v0.7.1
[59287772] + Formatting v0.4.1
[41ab1584] + InvertedIndices v1.0.0
[82899510] + IteratorInterfaceExtensions v1.0.0
[682c06a0] + JSON v0.21.0
[7f8f8fb0] + LearnBase v0.2.2
[30fc2ffe] + LossFunctions v0.5.1
[a7f614a8] + MLJBase v0.10.1
[d491faf4] + MLJModels v0.7.1
[e1d29d7a] + Missings v0.4.3
[6f286f6a] + MultivariateStats v0.7.0
[4536629a] + OpenBLAS_jll v0.3.7+4
[efe28fd5] + OpenSpecFun_jll v0.5.3+1
[bac558e1] + OrderedCollections v1.1.0
[90014a1f] + PDMats v0.9.11
[d96e819e] + Parameters v0.12.0
[69de0a69] + Parsers v0.3.10
[08abe8d2] + PrettyTables v0.6.0
[92933f4c] + ProgressMeter v1.2.0
[1fd47b50] + QuadGK v2.3.1
[3cdcf5f2] + RecipesBase v0.7.0
[189a3867] + Reexport v0.2.0
[ae029012] + Requires v0.5.2
[79098fc4] + Rmath v0.6.0
[321657f4] + ScientificTypes v0.5.1
[a2af1166] + SortingAlgorithms v0.3.1
[276daf66] + SpecialFunctions v0.9.0
[2913bbd2] + StatsBase v0.32.0
[4c63d2b9] + StatsFuns v0.9.3
[3783bdb8] + TableTraits v1.0.0
[bd369af6] + Tables v0.2.11
[2a0f44e3] + Base64
[ade2ca70] + Dates
[8bb1440f] + DelimitedFiles
[8ba89e20] + Distributed
[9fa8497b] + Future
[b77e0a4c] + InteractiveUtils
[76f85450] + LibGit2
[8f399da3] + Libdl
[37e2e46d] + LinearAlgebra
[56ddb016] + Logging
[d6f4376e] + Markdown
[a63ad114] + Mmap
[44cfe95a] + Pkg
[de0858da] + Printf
[3fa0cd96] + REPL
[9a3f8284] + Random
[ea8e919c] + SHA
[9e88b42a] + Serialization
[1a1011a3] + SharedArrays
[6462fe0b] + Sockets
[2f01184e] + SparseArrays
[10745b16] + Statistics
[4607b0f0] + SuiteSparse
[8dfed614] + Test
[cf7118a7] + UUIDs
[4ec0a83e] + Unicode
Building Rmath → `~/.julia/packages/Rmath/BoBag/deps/build.log`
Updating `/tmp/jl_dFLaZy/Project.toml`
[no changes]
Updating `/tmp/jl_dFLaZy/Manifest.toml`
[no changes]
Testing MLJModels
Installed NearestNeighbors ─────── v0.4.4
Installed NaiveBayes ───────────── v0.4.0
Installed DecisionTree ─────────── v0.10.1
Installed GLM ──────────────────── v1.3.6
Installed XGBoost ──────────────── v0.4.2
Installed LIBSVM ───────────────── v0.4.0
Installed Clustering ───────────── v0.13.3
Installed ElasticArrays ────────── v1.0.0
Installed IntelOpenMP_jll ──────── v2018.0.3+0
Installed ElasticPDMats ────────── v0.2.1
Installed ScikitLearn ──────────── v0.5.1
Installed PositiveFactorizations ─ v0.2.3
Installed Conda ────────────────── v1.3.0
Installed KernelDensity ────────── v0.5.1
Installed Blosc ────────────────── v0.5.1
Installed DiffResults ──────────── v1.0.2
Installed AbstractFFTs ─────────── v0.5.0
Installed ZygoteRules ──────────── v0.2.0
Installed GaussianProcesses ────── v0.11.1
Installed FFTW ─────────────────── v1.2.0
Installed ArrayInterface ───────── v2.3.1
Installed LaTeXStrings ─────────── v1.0.3
Installed OffsetArrays ─────────── v1.0.2
Installed IterTools ────────────── v1.3.0
Installed CMakeWrapper ─────────── v0.2.3
Installed StatsModels ──────────── v0.6.7
Installed JLD ──────────────────── v0.9.1
Installed Calculus ─────────────── v0.5.1
Installed NLSolversBase ────────── v7.6.0
Installed Optim ────────────────── v0.19.7
Installed WeakRefStrings ───────── v0.6.2
Installed URIParser ────────────── v0.4.0
Installed FilePathsBase ────────── v0.7.0
Installed FileIO ───────────────── v1.2.1
Installed DocStringExtensions ──── v0.8.1
Installed NNlib ────────────────── v0.6.4
Installed RDatasets ────────────── v0.6.6
Installed Documenter ───────────── v0.24.4
Installed CommonSubexpressions ─── v0.2.0
Installed Zlib_jll ─────────────── v1.2.11+7
Installed FFTW_jll ─────────────── v3.3.9+3
Installed Ratios ───────────────── v0.3.1
Installed DiffEqDiffTools ──────── v1.7.0
Installed ForwardDiff ──────────── v0.10.9
Installed LineSearches ─────────── v7.0.1
Installed Zygote ───────────────── v0.4.6
Installed RData ────────────────── v0.6.3
Installed CodecZlib ────────────── v0.6.0
Installed BinDeps ──────────────── v1.0.0
Installed ShiftedArrays ────────── v1.0.0
Installed PyCall ───────────────── v1.91.2
Installed FastGaussQuadrature ──── v0.4.2
Installed Libiconv_jll ─────────── v1.16.0+0
Installed LegacyStrings ────────── v0.4.1
Installed StaticArrays ─────────── v0.12.1
Installed IRTools ──────────────── v0.3.1
Installed Mocking ──────────────── v0.7.0
Installed PooledArrays ─────────── v0.5.3
Installed VersionParsing ───────── v1.2.0
Installed WoodburyMatrices ─────── v0.5.0
Installed SoftGlobalScope ──────── v1.0.10
Installed MKL_jll ──────────────── v2019.0.117+2
Installed ScikitLearnBase ──────── v0.5.0
Installed EzXML ────────────────── v1.1.0
Installed NBInclude ────────────── v2.1.0
Installed FiniteDiff ───────────── v2.1.0
Installed CSV ──────────────────── v0.5.22
Installed MacroTools ───────────── v0.5.3
Installed TranscodingStreams ───── v0.9.5
Installed DiffRules ────────────── v1.0.0
Installed DataFrames ───────────── v0.20.0
Installed NaNMath ──────────────── v0.3.3
Installed AxisAlgorithms ───────── v1.0.0
Installed XML2_jll ─────────────── v2.9.9+1
Installed CMake ────────────────── v1.1.2
Installed HDF5 ─────────────────── v0.12.5
Installed GaussianMixtures ─────── v0.3.0
Installed Colors ───────────────── v0.10.2
Installed PyPlot ───────────────── v2.8.2
Installed LIBLINEAR ────────────── v0.5.1
Installed TimeZones ────────────── v1.0.0
Installed Interpolations ───────── v0.12.7
Updating `/tmp/jl_kxQqsX/Project.toml`
[aaaa29a8] + Clustering v0.13.3
[7806a523] + DecisionTree v0.10.1
[38e38edf] + GLM v1.3.6
[891a1506] + GaussianProcesses v0.11.1
[b1bec4e5] + LIBSVM v0.4.0
[9bbee03b] + NaiveBayes v0.4.0
[b8a86587] + NearestNeighbors v0.4.4
[ce6b1742] + RDatasets v0.6.6
[3646fa90] + ScikitLearn v0.5.1
[009559a3] + XGBoost v0.4.2
Updating `/tmp/jl_kxQqsX/Manifest.toml`
[621f4979] + AbstractFFTs v0.5.0
[4fba245c] + ArrayInterface v2.3.1
[13072b0f] + AxisAlgorithms v1.0.0
[9e28174c] + BinDeps v1.0.0
[a74b3585] + Blosc v0.5.1
[631607c0] + CMake v1.1.2
[d5fb7624] + CMakeWrapper v0.2.3
[336ed68f] + CSV v0.5.22
[49dc2e85] + Calculus v0.5.1
[aaaa29a8] + Clustering v0.13.3
[944b1d66] + CodecZlib v0.6.0
[5ae59095] + Colors v0.10.2
[bbf7d656] + CommonSubexpressions v0.2.0
[8f4d0f93] + Conda v1.3.0
[a93c6f00] + DataFrames v0.20.0
[7806a523] + DecisionTree v0.10.1
[01453d9d] + DiffEqDiffTools v1.7.0
[163ba53b] + DiffResults v1.0.2
[b552c78f] + DiffRules v1.0.0
[ffbed154] + DocStringExtensions v0.8.1
[e30172f5] + Documenter v0.24.4
[fdbdab4c] + ElasticArrays v1.0.0
[2904ab23] + ElasticPDMats v0.2.1
[8f5d6c58] + EzXML v1.1.0
[7a1cc6ca] + FFTW v1.2.0
[f5851436] + FFTW_jll v3.3.9+3
[442a2c76] + FastGaussQuadrature v0.4.2
[5789e2e9] + FileIO v1.2.1
[48062228] + FilePathsBase v0.7.0
[6a86dc24] + FiniteDiff v2.1.0
[f6369f11] + ForwardDiff v0.10.9
[38e38edf] + GLM v1.3.6
[cc18c42c] + GaussianMixtures v0.3.0
[891a1506] + GaussianProcesses v0.11.1
[f67ccb44] + HDF5 v0.12.5
[7869d1d1] + IRTools v0.3.1
[1d5cc7b8] + IntelOpenMP_jll v2018.0.3+0
[a98d9a8b] + Interpolations v0.12.7
[c8e1da08] + IterTools v1.3.0
[4138dd39] + JLD v0.9.1
[5ab0869b] + KernelDensity v0.5.1
[2d691ee1] + LIBLINEAR v0.5.1
[b1bec4e5] + LIBSVM v0.4.0
[b964fa9f] + LaTeXStrings v1.0.3
[1b4a561d] + LegacyStrings v0.4.1
[94ce4f54] + Libiconv_jll v1.16.0+0
[d3d80556] + LineSearches v7.0.1
[856f044c] + MKL_jll v2019.0.117+2
[1914dd2f] + MacroTools v0.5.3
[78c3b35d] + Mocking v0.7.0
[0db19996] + NBInclude v2.1.0
[d41bc354] + NLSolversBase v7.6.0
[872c559c] + NNlib v0.6.4
[77ba4419] + NaNMath v0.3.3
[9bbee03b] + NaiveBayes v0.4.0
[b8a86587] + NearestNeighbors v0.4.4
[6fe1bfb0] + OffsetArrays v1.0.2
[429524aa] + Optim v0.19.7
[2dfb63ee] + PooledArrays v0.5.3
[85a6dd25] + PositiveFactorizations v0.2.3
[438e738f] + PyCall v1.91.2
[d330b81b] + PyPlot v2.8.2
[df47a6cb] + RData v0.6.3
[ce6b1742] + RDatasets v0.6.6
[c84ed2f1] + Ratios v0.3.1
[3646fa90] + ScikitLearn v0.5.1
[6e75b9c4] + ScikitLearnBase v0.5.0
[1277b4bf] + ShiftedArrays v1.0.0
[b85f4697] + SoftGlobalScope v1.0.10
[90137ffa] + StaticArrays v0.12.1
[3eaba693] + StatsModels v0.6.7
[f269a46b] + TimeZones v1.0.0
[3bb67fe8] + TranscodingStreams v0.9.5
[30578b45] + URIParser v0.4.0
[81def892] + VersionParsing v1.2.0
[ea10d353] + WeakRefStrings v0.6.2
[efce3f68] + WoodburyMatrices v0.5.0
[009559a3] + XGBoost v0.4.2
[02c8fc9c] + XML2_jll v2.9.9+1
[83775a58] + Zlib_jll v1.2.11+7
[e88e6eb3] + Zygote v0.4.6
[700de1a5] + ZygoteRules v0.2.0
[9abbd945] + Profile
Building XGBoost ──→ `~/.julia/packages/XGBoost/LXjD0/deps/build.log`
Updating `/tmp/jl_JAAtdp/Project.toml`
[no changes]
Updating `/tmp/jl_JAAtdp/Manifest.toml`
[no changes]
Building LIBLINEAR → `~/.julia/packages/LIBLINEAR/yTdp5/deps/build.log`
Updating `/tmp/jl_SZevOO/Project.toml`
[no changes]
Updating `/tmp/jl_SZevOO/Manifest.toml`
[no changes]
Building LIBSVM ───→ `~/.julia/packages/LIBSVM/5Z99T/deps/build.log`
Updating `/tmp/jl_r64Dav/Project.toml`
[no changes]
Updating `/tmp/jl_r64Dav/Manifest.toml`
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Building Conda ────→ `~/.julia/packages/Conda/kLXeC/deps/build.log`
Updating `/tmp/jl_0nR9up/Project.toml`
[no changes]
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[no changes]
Building CMake ────→ `~/.julia/packages/CMake/nSK2r/deps/build.log`
Updating `/tmp/jl_drHWBm/Project.toml`
[no changes]
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[no changes]
Building Blosc ────→ `~/.julia/packages/Blosc/lzFr0/deps/build.log`
Updating `/tmp/jl_aP8JuY/Project.toml`
[no changes]
Updating `/tmp/jl_aP8JuY/Manifest.toml`
[no changes]
Building FFTW ─────→ `~/.julia/packages/FFTW/qqcBj/deps/build.log`
Updating `/tmp/jl_LiE6mw/Project.toml`
[no changes]
Updating `/tmp/jl_LiE6mw/Manifest.toml`
[no changes]
Building NNlib ────→ `~/.julia/packages/NNlib/3krvM/deps/build.log`
Updating `/tmp/jl_0P30T6/Project.toml`
[no changes]
Updating `/tmp/jl_0P30T6/Manifest.toml`
[no changes]
Building CodecZlib → `~/.julia/packages/CodecZlib/5t9zO/deps/build.log`
Updating `/tmp/jl_9s0XZU/Project.toml`
[no changes]
Updating `/tmp/jl_9s0XZU/Manifest.toml`
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Building PyCall ───→ `~/.julia/packages/PyCall/ttONZ/deps/build.log`
Updating `/tmp/jl_G3Oz95/Project.toml`
[no changes]
Updating `/tmp/jl_G3Oz95/Manifest.toml`
[no changes]
Building HDF5 ─────→ `~/.julia/packages/HDF5/Zh9on/deps/build.log`
Updating `/tmp/jl_HEk77N/Project.toml`
[no changes]
Updating `/tmp/jl_HEk77N/Manifest.toml`
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Building TimeZones → `~/.julia/packages/TimeZones/vYAiM/deps/build.log`
Updating `/tmp/jl_oERbi1/Project.toml`
[no changes]
Updating `/tmp/jl_oERbi1/Manifest.toml`
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Running sandbox
Status `/tmp/jl_kxQqsX/Project.toml`
[324d7699] CategoricalArrays v0.7.7
[aaaa29a8] Clustering v0.13.3
[34da2185] Compat v2.2.0
[7806a523] DecisionTree v0.10.1
[b4f34e82] Distances v0.8.2
[31c24e10] Distributions v0.21.12
[38e38edf] GLM v1.3.6
[891a1506] GaussianProcesses v0.11.1
[b1bec4e5] LIBSVM v0.4.0
[a7f614a8] MLJBase v0.10.1
[d491faf4] MLJModels v0.7.1
[6f286f6a] MultivariateStats v0.7.0
[9bbee03b] NaiveBayes v0.4.0
[b8a86587] NearestNeighbors v0.4.4
[bac558e1] OrderedCollections v1.1.0
[d96e819e] Parameters v0.12.0
[ce6b1742] RDatasets v0.6.6
[ae029012] Requires v0.5.2
[321657f4] ScientificTypes v0.5.1
[3646fa90] ScikitLearn v0.5.1
[2913bbd2] StatsBase v0.32.0
[bd369af6] Tables v0.2.11
[009559a3] XGBoost v0.4.2
[b77e0a4c] InteractiveUtils
[37e2e46d] LinearAlgebra
[44cfe95a] Pkg
[9a3f8284] Random
[10745b16] Statistics
[8dfed614] Test
[ Info: Model metadata loaded from registry.
[ Info: MLJModels.ConstantRegressor
import MLJModels ✔
import DecisionTree ✔
import MLJModels.DecisionTree_.DecisionTreeClassifier ✔
Test Summary: | Pass Total
metadata | 52 52
[ Info: Spawning 3 sub-features to one-hot encode feature :favourite_number.
Test Summary: | Pass Total
built-in models | 93 93
Test Summary: | Pass Total
MultivariateStats | 32 32
Feature 3, Threshold 2.45
L-> 1 : 50/50
R-> 2 : 50/100
2 : 50/150
[ Info: Training [34mMachine{RandomForestClassifier} @ 8…08[39m.
[ Info: Training [34mMachine{AdaBoostStumpClassifier} @ 2…55[39m.
[ Info: Training [34mMachine{RandomForestRegressor} @ 3…16[39m.
Test Summary: | Pass Total
DecisionTree | 12 12
Test Summary: | Pass Total
Clustering | 15 15
Test Summary: | Pass Total
GLM | 16 16
┌ Warning: Error requiring ScikitLearn from MLJModels:
│ LoadError: PyError (PyImport_ImportModule
│
│ The Python package sklearn could not be found by pyimport. Usually this means
│ that you did not install sklearn in the Python version being used by PyCall.
│
│ PyCall is currently configured to use the Python version at:
│
│ /usr/bin/python3
│
│ and you should use whatever mechanism you usually use (apt-get, pip, conda,
│ etcetera) to install the Python package containing the sklearn module.
│
│ One alternative is to re-configure PyCall to use a different Python
│ version on your system: set ENV["PYTHON"] to the path/name of the python
│ executable you want to use, run Pkg.build("PyCall"), and re-launch Julia.
│
│ Another alternative is to configure PyCall to use a Julia-specific Python
│ distribution via the Conda.jl package (which installs a private Anaconda
│ Python distribution), which has the advantage that packages can be installed
│ and kept up-to-date via Julia. As explained in the PyCall documentation,
│ set ENV["PYTHON"]="", run Pkg.build("PyCall"), and re-launch Julia. Then,
│ To install the sklearn module, you can use `pyimport_conda("sklearn", PKG)`,
│ where PKG is the Anaconda package the contains the module sklearn,
│ or alternatively you can use the Conda package directly (via
│ `using Conda` followed by `Conda.add` etcetera).
│
│ ) <class 'ModuleNotFoundError'>
│ ModuleNotFoundError("No module named 'sklearn'",)
│
│ Stacktrace:
│ [1] pyimport(::String) at /home/pkgeval/.julia/packages/PyCall/ttONZ/src/PyCall.jl:544
│ [2] pyimport_conda(::String, ::String, ::String) at /home/pkgeval/.julia/packages/PyCall/ttONZ/src/PyCall.jl:702
│ [3] pyimport_conda at /home/pkgeval/.julia/packages/PyCall/ttONZ/src/PyCall.jl:701 [inlined]
│ [4] import_sklearn() at /home/pkgeval/.julia/packages/ScikitLearn/bo2Pt/src/Skcore.jl:119
│ [5] top-level scope at /home/pkgeval/.julia/packages/ScikitLearn/bo2Pt/src/Skcore.jl:153
│ [6] include(::Module, ::String) at ./Base.jl:377
│ [7] include(::String) at /home/pkgeval/.julia/packages/MLJModels/nWDbp/src/MLJModels.jl:1
│ [8] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:3
│ [9] eval at ./boot.jl:331 [inlined]
│ [10] eval at /home/pkgeval/.julia/packages/MLJModels/nWDbp/src/MLJModels.jl:1 [inlined]
│ [11] (::MLJModels.var"#121#151")() at /home/pkgeval/.julia/packages/Requires/9Jse8/src/require.jl:67
│ [12] err(::MLJModels.var"#121#151", ::Module, ::String) at /home/pkgeval/.julia/packages/Requires/9Jse8/src/require.jl:38
│ [13] #120 at /home/pkgeval/.julia/packages/Requires/9Jse8/src/require.jl:66 [inlined]
│ [14] withpath(::MLJModels.var"#120#150", ::String) at /home/pkgeval/.julia/packages/Requires/9Jse8/src/require.jl:28
│ [15] (::MLJModels.var"#119#149")() at /home/pkgeval/.julia/packages/Requires/9Jse8/src/require.jl:65
│ [16] #invokelatest#1 at ./essentials.jl:710 [inlined]
│ [17] invokelatest at ./essentials.jl:709 [inlined]
│ [18] #3 at /home/pkgeval/.julia/packages/Requires/9Jse8/src/require.jl:19 [inlined]
│ [19] iterate at ./generator.jl:47 [inlined]
│ [20] _collect(::Array{Function,1}, ::Base.Generator{Array{Function,1},Requires.var"#3#4"}, ::Base.EltypeUnknown, ::Base.HasShape{1}) at ./array.jl:678
│ [21] collect_similar at ./array.jl:607 [inlined]
│ [22] map at ./abstractarray.jl:2072 [inlined]
│ [23] loadpkg(::Base.PkgId) at /home/pkgeval/.julia/packages/Requires/9Jse8/src/require.jl:19
│ [24] #invokelatest#1 at ./essentials.jl:710 [inlined]
│ [25] invokelatest at ./essentials.jl:709 [inlined]
│ [26] require(::Base.PkgId) at ./loading.jl:930
│ [27] require(::Module, ::Symbol) at ./loading.jl:922
│ [28] include(::String) at ./client.jl:439
│ [29] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
│ [30] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
│ [31] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
│ [32] include(::String) at ./client.jl:439
│ [33] top-level scope at none:6
│ [34] eval(::Module, ::Any) at ./boot.jl:331
│ [35] exec_options(::Base.JLOptions) at ./client.jl:264
│ [36] _start() at ./client.jl:484
│ in expression starting at /home/pkgeval/.julia/packages/MLJModels/nWDbp/src/ScikitLearn/ScikitLearn.jl:13
└ @ Requires ~/.julia/packages/Requires/9Jse8/src/require.jl:40
AffinityPropagation: Error During Test at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:3
Got exception outside of a @test
UndefVarError: AffinityPropagation not defined
Stacktrace:
[1] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:4
[2] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[3] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:4
[4] include(::Module, ::String) at ./Base.jl:377
[5] include(::String) at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:1
[6] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:7
[7] include(::String) at ./client.jl:439
[8] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[9] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[10] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[11] include(::String) at ./client.jl:439
[12] top-level scope at none:6
[13] eval(::Module, ::Any) at ./boot.jl:331
[14] exec_options(::Base.JLOptions) at ./client.jl:264
[15] _start() at ./client.jl:484
AgglomerativeClustering: Error During Test at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:20
Got exception outside of a @test
UndefVarError: AgglomerativeClustering not defined
Stacktrace:
[1] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:21
[2] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[3] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:21
[4] include(::Module, ::String) at ./Base.jl:377
[5] include(::String) at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:1
[6] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:7
[7] include(::String) at ./client.jl:439
[8] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[9] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[10] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[11] include(::String) at ./client.jl:439
[12] top-level scope at none:6
[13] eval(::Module, ::Any) at ./boot.jl:331
[14] exec_options(::Base.JLOptions) at ./client.jl:264
[15] _start() at ./client.jl:484
Birch: Error During Test at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:32
Got exception outside of a @test
UndefVarError: Birch not defined
Stacktrace:
[1] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:33
[2] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[3] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:33
[4] include(::Module, ::String) at ./Base.jl:377
[5] include(::String) at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:1
[6] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:7
[7] include(::String) at ./client.jl:439
[8] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[9] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[10] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[11] include(::String) at ./client.jl:439
[12] top-level scope at none:6
[13] eval(::Module, ::Any) at ./boot.jl:331
[14] exec_options(::Base.JLOptions) at ./client.jl:264
[15] _start() at ./client.jl:484
DBSCAN: Error During Test at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:51
Got exception outside of a @test
UndefVarError: DBSCAN not defined
Stacktrace:
[1] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:52
[2] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[3] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:52
[4] include(::Module, ::String) at ./Base.jl:377
[5] include(::String) at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:1
[6] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:7
[7] include(::String) at ./client.jl:439
[8] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[9] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[10] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[11] include(::String) at ./client.jl:439
[12] top-level scope at none:6
[13] eval(::Module, ::Any) at ./boot.jl:331
[14] exec_options(::Base.JLOptions) at ./client.jl:264
[15] _start() at ./client.jl:484
FeatureAgglomeration: Error During Test at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:63
Got exception outside of a @test
UndefVarError: FeatureAgglomeration not defined
Stacktrace:
[1] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:64
[2] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[3] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:64
[4] include(::Module, ::String) at ./Base.jl:377
[5] include(::String) at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:1
[6] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:7
[7] include(::String) at ./client.jl:439
[8] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[9] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[10] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[11] include(::String) at ./client.jl:439
[12] top-level scope at none:6
[13] eval(::Module, ::Any) at ./boot.jl:331
[14] exec_options(::Base.JLOptions) at ./client.jl:264
[15] _start() at ./client.jl:484
KMeans: Error During Test at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:82
Got exception outside of a @test
UndefVarError: KMeans not defined
Stacktrace:
[1] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:83
[2] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[3] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:83
[4] include(::Module, ::String) at ./Base.jl:377
[5] include(::String) at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:1
[6] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:7
[7] include(::String) at ./client.jl:439
[8] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[9] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[10] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[11] include(::String) at ./client.jl:439
[12] top-level scope at none:6
[13] eval(::Module, ::Any) at ./boot.jl:331
[14] exec_options(::Base.JLOptions) at ./client.jl:264
[15] _start() at ./client.jl:484
MBKMeans: Error During Test at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:99
Got exception outside of a @test
UndefVarError: MiniBatchKMeans not defined
Stacktrace:
[1] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:100
[2] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[3] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:100
[4] include(::Module, ::String) at ./Base.jl:377
[5] include(::String) at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:1
[6] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:7
[7] include(::String) at ./client.jl:439
[8] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[9] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[10] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[11] include(::String) at ./client.jl:439
[12] top-level scope at none:6
[13] eval(::Module, ::Any) at ./boot.jl:331
[14] exec_options(::Base.JLOptions) at ./client.jl:264
[15] _start() at ./client.jl:484
MeanShift: Error During Test at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:116
Got exception outside of a @test
UndefVarError: MeanShift not defined
Stacktrace:
[1] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:117
[2] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[3] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:117
[4] include(::Module, ::String) at ./Base.jl:377
[5] include(::String) at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:1
[6] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:7
[7] include(::String) at ./client.jl:439
[8] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[9] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[10] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[11] include(::String) at ./client.jl:439
[12] top-level scope at none:6
[13] eval(::Module, ::Any) at ./boot.jl:331
[14] exec_options(::Base.JLOptions) at ./client.jl:264
[15] _start() at ./client.jl:484
OPTICS: Error During Test at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:131
Got exception outside of a @test
UndefVarError: OPTICS not defined
Stacktrace:
[1] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:132
[2] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[3] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:132
[4] include(::Module, ::String) at ./Base.jl:377
[5] include(::String) at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:1
[6] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:7
[7] include(::String) at ./client.jl:439
[8] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[9] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[10] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[11] include(::String) at ./client.jl:439
[12] top-level scope at none:6
[13] eval(::Module, ::Any) at ./boot.jl:331
[14] exec_options(::Base.JLOptions) at ./client.jl:264
[15] _start() at ./client.jl:484
SpectralClustering: Error During Test at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:143
Got exception outside of a @test
UndefVarError: SpectralClustering not defined
Stacktrace:
[1] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:144
[2] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[3] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/clustering.jl:144
[4] include(::Module, ::String) at ./Base.jl:377
[5] include(::String) at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:1
[6] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:7
[7] include(::String) at ./client.jl:439
[8] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[9] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[10] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[11] include(::String) at ./client.jl:439
[12] top-level scope at none:6
[13] eval(::Module, ::Any) at ./boot.jl:331
[14] exec_options(::Base.JLOptions) at ./client.jl:264
[15] _start() at ./client.jl:484
ScikitLearn : Error During Test at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
Test threw exception
Expression: include("ScikitLearn/ScikitLearn.jl")
LoadError: LoadError: UndefVarError: SVMClassifier not defined
Stacktrace:
[1] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/svm.jl:5
[2] include(::Module, ::String) at ./Base.jl:377
[3] include(::String) at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:1
[4] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:9
[5] include(::String) at ./client.jl:439
[6] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
[7] top-level scope at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1113
[8] top-level scope at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:50
in expression starting at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/svm.jl:5
in expression starting at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/ScikitLearn/ScikitLearn.jl:9
Test Summary: | Error Total
ScikitLearn | 11 11
AffinityPropagation | 1 1
AgglomerativeClustering | 1 1
Birch | 1 1
DBSCAN | 1 1
FeatureAgglomeration | 1 1
KMeans | 1 1
MBKMeans | 1 1
MeanShift | 1 1
OPTICS | 1 1
SpectralClustering | 1 1
ERROR: LoadError: Some tests did not pass: 0 passed, 0 failed, 11 errored, 0 broken.
in expression starting at /home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl:49
err = ProcessFailedException(Base.Process[Process(`/opt/julia/bin/julia -Cnative -J/opt/julia/lib/julia/sys.so -g1 --code-coverage=none --color=no --compiled-modules=yes --check-bounds=yes --inline=yes --startup-file=no --track-allocation=none --eval 'append!(empty!(Base.DEPOT_PATH), ["/home/pkgeval/.julia", "/opt/julia/local/share/julia", "/opt/julia/share/julia", "/usr/local/share/julia"])
append!(empty!(Base.DL_LOAD_PATH), String[])
cd("/home/pkgeval/.julia/packages/MLJModels/nWDbp/test")
append!(empty!(ARGS), String[])
include("/home/pkgeval/.julia/packages/MLJModels/nWDbp/test/runtests.jl")
'`, ProcessExited(1))])
ERROR: Package MLJModels errored during testing
Stacktrace:
[1] pkgerror(::String, ::Vararg{String,N} where N) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/Types.jl:54
[2] test(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/Operations.jl:1471
[3] test(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:313
[4] test(::Pkg.Types.Context, ::Array{Pkg.Types.PackageSpec,1}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:300
[5] #test#66 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:294 [inlined]
[6] test at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:294 [inlined]
[7] #test#65 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:293 [inlined]
[8] test at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:293 [inlined]
[9] test(::String; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:292
[10] test(::String) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Pkg/src/API.jl:292
[11] top-level scope at none:13