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1.6.0-DEV-444aa87348.log
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Julia Version 1.6.0-DEV.1274
Commit 444aa87348 (2020-10-17 22:11 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: AMD EPYC 7502 32-Core Processor
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-11.0.0 (ORCJIT, znver2)
Environment:
JULIA_DEPOT_PATH = ::/usr/local/share/julia
JULIA_NUM_THREADS = 2
JULIA_MAX_NUM_PRECOMPILE_FILES = 9223372036854775807
Resolving package versions...
Installed ScientificTypes ────────────── v1.1.0
Installed PartialLeastSquaresRegressor ─ v2.0.0
Installed MLJModelInterface ──────────── v0.3.6
Updating `~/.julia/environments/v1.6/Project.toml`
[f4b1acfe] + PartialLeastSquaresRegressor v2.0.0
Updating `~/.julia/environments/v1.6/Manifest.toml`
[e80e1ace] + MLJModelInterface v0.3.6
[f4b1acfe] + PartialLeastSquaresRegressor v2.0.0
[321657f4] + ScientificTypes v1.1.0
[8f399da3] + Libdl
[37e2e46d] + LinearAlgebra
[9a3f8284] + Random
[9e88b42a] + Serialization
[2f01184e] + SparseArrays
[10745b16] + Statistics
Precompiling project... (tip: to disable auto-precompilation set ENV["JULIA_PKG_PRECOMPILE_AUTO"]=0)
[90m[32m ✓ [39mScientificTypes[39m
[90m[32m ✓ [39mMLJModelInterface[39m
[32m ✓ [39mPartialLeastSquaresRegressor
3 dependencies successfully precompiled
Testing PartialLeastSquaresRegressor
Status `/tmp/jl_BLulIZ/Project.toml`
[add582a8] MLJ v0.14.0
[a7f614a8] MLJBase v0.15.3
[e80e1ace] MLJModelInterface v0.3.6
[f4b1acfe] PartialLeastSquaresRegressor v2.0.0
[37e2e46d] LinearAlgebra
[9a3f8284] Random
[10745b16] Statistics
[8dfed614] Test
Status `/tmp/jl_BLulIZ/Manifest.toml`
[fbb218c0] BSON v0.2.6
[324d7699] CategoricalArrays v0.8.3
[944b1d66] CodecZlib v0.7.0
[3da002f7] ColorTypes v0.10.9
[34da2185] Compat v3.20.0
[e66e0078] CompilerSupportLibraries_jll v0.3.4+0
[ed09eef8] ComputationalResources v0.3.2
[a8cc5b0e] Crayons v4.0.4
[9a962f9c] DataAPI v1.3.0
[864edb3b] DataStructures v0.18.7
[e2d170a0] DataValueInterfaces v1.0.0
[b4f34e82] Distances v0.9.2
[31c24e10] Distributions v0.23.12
[e2ba6199] ExprTools v0.1.3
[8f5d6c58] EzXML v1.1.0
[48062228] FilePathsBase v0.9.5
[1a297f60] FillArrays v0.9.7
[53c48c17] FixedPointNumbers v0.8.4
[59287772] Formatting v0.4.1
[cd3eb016] HTTP v0.8.19
[83e8ac13] IniFile v0.5.0
[41ab1584] InvertedIndices v1.0.0
[82899510] IteratorInterfaceExtensions v1.0.0
[692b3bcd] JLLWrappers v1.1.2
[9da8a3cd] JLSO v2.3.3
[682c06a0] JSON v0.21.1
[7f8f8fb0] LearnBase v0.4.1
[94ce4f54] Libiconv_jll v1.16.0+7
[30fc2ffe] LossFunctions v0.6.2
[add582a8] MLJ v0.14.0
[a7f614a8] MLJBase v0.15.3
[e80e1ace] MLJModelInterface v0.3.6
[d491faf4] MLJModels v0.12.6
[2e2323e0] MLJScientificTypes v0.3.0
[03970b2e] MLJTuning v0.5.1
[739be429] MbedTLS v1.0.2
[c8ffd9c3] MbedTLS_jll v2.16.8+0
[f28f55f0] Memento v1.1.1
[e1d29d7a] Missings v0.4.4
[78c3b35d] Mocking v0.7.1
[efe28fd5] OpenSpecFun_jll v0.5.3+4
[bac558e1] OrderedCollections v1.3.1
[90014a1f] PDMats v0.10.1
[d96e819e] Parameters v0.12.1
[69de0a69] Parsers v1.0.11
[f4b1acfe] PartialLeastSquaresRegressor v2.0.0
[08abe8d2] PrettyTables v0.9.1
[92933f4c] ProgressMeter v1.4.0
[1fd47b50] QuadGK v2.4.1
[3cdcf5f2] RecipesBase v1.1.0
[189a3867] Reexport v0.2.0
[ae029012] Requires v1.1.0
[79098fc4] Rmath v0.6.1
[f50d1b31] Rmath_jll v0.2.2+1
[321657f4] ScientificTypes v1.1.0
[a2af1166] SortingAlgorithms v0.3.1
[276daf66] SpecialFunctions v0.10.3
[860ef19b] StableRNGs v0.1.2
[90137ffa] StaticArrays v0.12.4
[2913bbd2] StatsBase v0.33.2
[4c63d2b9] StatsFuns v0.9.5
[856f2bd8] StructTypes v1.1.0
[cea106d9] Syslogs v0.3.0
[3783bdb8] TableTraits v1.0.0
[bd369af6] Tables v1.1.0
[f269a46b] TimeZones v1.4.0
[3bb67fe8] TranscodingStreams v0.9.5
[3a884ed6] UnPack v1.0.2
[02c8fc9c] XML2_jll v2.9.10+3
[83775a58] Zlib_jll v1.2.11+18
[0dad84c5] ArgTools
[56f22d72] Artifacts
[2a0f44e3] Base64
[ade2ca70] Dates
[8bb1440f] DelimitedFiles
[8ba89e20] Distributed
[f43a241f] Downloads
[9fa8497b] Future
[b77e0a4c] InteractiveUtils
[b27032c2] LibCURL
[deac9b47] LibCURL_jll
[76f85450] LibGit2
[8f399da3] Libdl
[37e2e46d] LinearAlgebra
[56ddb016] Logging
[d6f4376e] Markdown
[a63ad114] Mmap
[14a3606d] MozillaCACerts_jll
[44cfe95a] Pkg
[de0858da] Printf
[3fa0cd96] REPL
[9a3f8284] Random
[ea8e919c] SHA
[9e88b42a] Serialization
[1a1011a3] SharedArrays
[6462fe0b] Sockets
[2f01184e] SparseArrays
[10745b16] Statistics
[4607b0f0] SuiteSparse
[fa267f1f] TOML
[8dfed614] Test
[cf7118a7] UUIDs
[4ec0a83e] Unicode
Testing Running tests...
[ Info: Model metadata loaded from registry.
WARNING: Method definition show(IO, Random.MersenneTwister) in module Random at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.6/Random/src/RNGs.jl:179 overwritten in module MLJ at /home/pkgeval/.julia/packages/MLJ/yeT6F/src/ensembles.jl:2.
** incremental compilation may be fatally broken for this module **
Test Summary: | Pass Total
Auxiliary Functions Test | 12 12
[ Info: Training [34mMachine{Pipeline253} @729[39m.
[ Info: Training [34mMachine{UnivariateStandardizer} @896[39m.
[ Info: Training [34mMachine{Standardizer} @052[39m.
[ Info: Training [34mMachine{PLSRegressor} @745[39m.
[ Info: Training [34mMachine{Pipeline262} @587[39m.
[ Info: Training [34mMachine{UnivariateStandardizer} @456[39m.
[ Info: Training [34mMachine{Standardizer} @065[39m.
┌ Warning: Extremely small standard deviation encountered in standardization.
└ @ MLJModels ~/.julia/packages/MLJModels/SGC5j/src/builtins/Transformers.jl:500
[ Info: Training [34mMachine{PLSRegressor} @535[39m.
┌ Error: Problem fitting the machine [34mMachine{PLSRegressor} @535[39m, possibly because an upstream node in a learning network is providing data of incompatible scitype.
└ @ MLJBase ~/.julia/packages/MLJBase/Ov46j/src/machines.jl:422
[ Info: Running type checks...
[ Info: Type checks okay.
┌ Error: Problem fitting [34mMachine{PLSRegressor} @535[39m
└ @ MLJBase ~/.julia/packages/MLJBase/Ov46j/src/machines.jl:503
┌ Error: Problem fitting the machine [34mMachine{Pipeline262} @587[39m, possibly because an upstream node in a learning network is providing data of incompatible scitype.
└ @ MLJBase ~/.julia/packages/MLJBase/Ov46j/src/machines.jl:422
[ Info: Running type checks...
[ Info: Type checks okay.
[ Info: Training [34mMachine{Pipeline271} @627[39m.
[ Info: Training [34mMachine{UnivariateStandardizer} @586[39m.
[ Info: Training [34mMachine{Standardizer} @713[39m.
[ Info: Training [34mMachine{PLSRegressor} @598[39m.
[ Info: Training [34mMachine{Pipeline280} @579[39m.
[ Info: Training [34mMachine{UnivariateStandardizer} @184[39m.
[ Info: Training [34mMachine{Standardizer} @198[39m.
[ Info: Training [34mMachine{PLSRegressor} @244[39m.
[ Info: Training [34mMachine{Pipeline289} @792[39m.
[ Info: Training [34mMachine{UnivariateStandardizer} @888[39m.
[ Info: Training [34mMachine{Standardizer} @859[39m.
[ Info: Training [34mMachine{PLSRegressor} @172[39m.
[ Info: Training [34mMachine{Pipeline298} @395[39m.
[ Info: Training [34mMachine{UnivariateStandardizer} @512[39m.
[ Info: Training [34mMachine{Standardizer} @555[39m.
[ Info: Training [34mMachine{PLSRegressor} @415[39m.
Test Summary: | Pass Total
PLS1 Pediction Tests (in sample) | 6 6
[ Info: Training [34mMachine{Pipeline307} @874[39m.
[ Info: Training [34mMachine{UnivariateStandardizer} @948[39m.
[ Info: Training [34mMachine{Standardizer} @915[39m.
[ Info: Training [34mMachine{PLSRegressor} @193[39m.
[ Info: Training [34mMachine{Pipeline316} @546[39m.
[ Info: Training [34mMachine{UnivariateStandardizer} @522[39m.
[ Info: Training [34mMachine{Standardizer} @523[39m.
[ Info: Training [34mMachine{PLSRegressor} @387[39m.
[ Info: Training [34mMachine{Pipeline325} @823[39m.
[ Info: Training [34mMachine{UnivariateStandardizer} @444[39m.
[ Info: Training [34mMachine{Standardizer} @170[39m.
[ Info: Training [34mMachine{PLSRegressor} @197[39m.
[ Info: Training [34mMachine{Pipeline334} @334[39m.
[ Info: Training [34mMachine{UnivariateStandardizer} @677[39m.
[ Info: Training [34mMachine{Standardizer} @462[39m.
[ Info: Training [34mMachine{PLSRegressor} @650[39m.
Test Summary: | Pass Total
PLS1 Pediction Tests (out of sample) | 4 4
[ Info: Training [34mMachine{Pipeline343} @150[39m.
[ Info: Training [34mMachine{Standardizer} @547[39m.
[ Info: Training [34mMachine{Standardizer} @707[39m.
[ Info: Training [34mMachine{PLSRegressor} @018[39m.
PLS2 converged. No need learning with more than 1 factors[ Info: Training [34mMachine{Pipeline352} @938[39m.
[ Info: Training [34mMachine{Standardizer} @640[39m.
[ Info: Training [34mMachine{Standardizer} @500[39m.
[ Info: Training [34mMachine{PLSRegressor} @922[39m.
[ Info: Training [34mMachine{Pipeline361} @150[39m.
[ Info: Training [34mMachine{Standardizer} @644[39m.
[ Info: Training [34mMachine{Standardizer} @341[39m.
[ Info: Training [34mMachine{PLSRegressor} @817[39m.
Test Summary: | Pass Total
PLS2 Prediction Tests (in sample) | 3 3
[ Info: Training [34mMachine{Pipeline371} @039[39m.
[ Info: Training [34mMachine{Standardizer} @776[39m.
[ Info: Training [34mMachine{Standardizer} @043[39m.
[ Info: Training [34mMachine{PLSRegressor} @737[39m.
[ Info: Training [34mMachine{Pipeline380} @962[39m.
[ Info: Training [34mMachine{Standardizer} @938[39m.
[ Info: Training [34mMachine{Standardizer} @044[39m.
[ Info: Training [34mMachine{PLSRegressor} @566[39m.
[ Info: Training [34mMachine{Pipeline389} @792[39m.
[ Info: Training [34mMachine{Standardizer} @121[39m.
[ Info: Training [34mMachine{Standardizer} @205[39m.
[ Info: Training [34mMachine{PLSRegressor} @441[39m.
[ Info: Training [34mMachine{Pipeline398} @747[39m.
[ Info: Training [34mMachine{Standardizer} @372[39m.
[ Info: Training [34mMachine{Standardizer} @777[39m.
[ Info: Training [34mMachine{PLSRegressor} @390[39m.
Test Summary: | Pass Total
PLS2 Pediction Tests (out of sample) | 4 4
[ Info: Training [34mMachine{Pipeline407} @477[39m.
[ Info: Training [34mMachine{Standardizer} @608[39m.
[ Info: Training [34mMachine{Standardizer} @062[39m.
[ Info: Training [34mMachine{KPLSRegressor} @622[39m.
[ Info: Training [34mMachine{Pipeline416} @480[39m.
[ Info: Training [34mMachine{Standardizer} @478[39m.
[ Info: Training [34mMachine{Standardizer} @853[39m.
[ Info: Training [34mMachine{KPLSRegressor} @419[39m.
[ Info: Training [34mMachine{Pipeline425} @782[39m.
[ Info: Training [34mMachine{Standardizer} @792[39m.
[ Info: Training [34mMachine{Standardizer} @449[39m.
[ Info: Training [34mMachine{KPLSRegressor} @958[39m.
[ Info: Training [34mMachine{Pipeline434} @287[39m.
[ Info: Training [34mMachine{Standardizer} @052[39m.
[ Info: Training [34mMachine{Standardizer} @565[39m.
[ Info: Training [34mMachine{KPLSRegressor} @497[39m.
[ Info: Training [34mMachine{Pipeline443} @949[39m.
[ Info: Training [34mMachine{Standardizer} @689[39m.
[ Info: Training [34mMachine{Standardizer} @406[39m.
[ Info: Training [34mMachine{KPLSRegressor} @307[39m.
[ Info: Training [34mMachine{Pipeline452} @944[39m.
[ Info: Training [34mMachine{Standardizer} @484[39m.
[ Info: Training [34mMachine{Standardizer} @001[39m.
[ Info: Training [34mMachine{KPLSRegressor} @340[39m.
[ Info: Training [34mMachine{Pipeline461} @092[39m.
[ Info: Training [34mMachine{Standardizer} @806[39m.
[ Info: Training [34mMachine{Standardizer} @333[39m.
[ Info: Training [34mMachine{KPLSRegressor} @391[39m.
Test Summary: | Pass Total
KPLS Pediction Tests (in sample) | 7 7
Testing PartialLeastSquaresRegressor tests passed