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1.4.0-DEV-082f446f52.log
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Julia Version 1.4.0-DEV.674
Commit 082f446f52 (2020-01-02 16:59 UTC)
Platform Info:
OS: Linux (x86_64-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
Resolving package versions...
Installed Combinatorics ─────────────── v1.0.0
Installed IntelOpenMP_jll ───────────── v2018.0.3+0
Installed Parsers ───────────────────── v0.3.10
Installed Rmath ─────────────────────── v0.6.0
Installed AutoGrad ──────────────────── v1.1.6
Installed DataFrames ────────────────── v0.20.0
Installed UnicodePlots ──────────────── v1.1.0
Installed PredictMD ─────────────────── v0.34.9
Installed DefaultApplication ────────── v0.1.3
Installed RecipesBase ───────────────── v0.7.0
Installed DataValues ────────────────── v0.4.12
Installed PGFPlotsX ─────────────────── v1.2.1
Installed GenericSVD ────────────────── v0.2.2
Installed DataAPI ───────────────────── v1.1.0
Installed Mocking ───────────────────── v0.7.0
Installed Polynomials ───────────────── v0.6.0
Installed TableShowUtils ────────────── v0.2.5
Installed LIBLINEAR ─────────────────── v0.5.1
Installed CodecZlib ─────────────────── v0.6.0
Installed OpenBLAS_jll ──────────────── v0.3.7+2
Installed RData ─────────────────────── v0.6.3
Installed GZip ──────────────────────── v0.5.1
Installed SpecialFunctions ──────────── v0.9.0
Installed InvertedIndices ───────────── v1.0.0
Installed DataValueInterfaces ───────── v1.0.0
Installed MacroTools ────────────────── v0.5.3
Installed DoubleFloats ──────────────── v1.0.3
Installed GenericSchur ──────────────── v0.3.0
Installed TimerOutputs ──────────────── v0.5.3
Installed IniFile ───────────────────── v0.5.0
Installed SortingAlgorithms ─────────── v0.3.1
Installed FillArrays ────────────────── v0.8.2
Installed ProgressMeter ─────────────── v1.2.0
Installed StatsFuns ─────────────────── v0.9.3
Installed Compat ────────────────────── v2.2.0
Installed CUDAnative ────────────────── v2.7.0
Installed BinaryProvider ────────────── v0.5.8
Installed FilePathsBase ─────────────── v0.7.0
Installed Adapt ─────────────────────── v1.0.0
Installed DataDeps ──────────────────── v0.7.1
Installed CSVFiles ──────────────────── v1.0.0
Installed ScikitLearnBase ───────────── v0.5.0
Installed AbstractFFTs ──────────────── v0.5.0
Installed TimeZones ─────────────────── v0.10.3
Installed LaTeXStrings ──────────────── v1.0.3
Installed QuadGK ────────────────────── v2.3.1
Installed WeakRefStrings ────────────── v0.6.2
Installed PredictMDAPI ──────────────── v0.3.0
Installed Requires ──────────────────── v0.5.2
Installed Arpack ────────────────────── v0.4.0
Installed HTTP ──────────────────────── v0.8.8
Installed IteratorInterfaceExtensions ─ v1.0.0
Installed CuArrays ──────────────────── v1.6.0
Installed ShiftedArrays ─────────────── v1.0.0
Installed OpenSpecFun_jll ───────────── v0.5.3+1
Installed EzXML ─────────────────────── v0.9.5
Installed CUDAapi ───────────────────── v2.1.0
Installed ArgCheck ──────────────────── v1.0.1
Installed CEnum ─────────────────────── v0.2.0
Installed TranscodingStreams ────────── v0.9.5
Installed FFTW ──────────────────────── v1.2.0
Installed Arpack_jll ────────────────── v3.5.0+2
Installed OrderedCollections ────────── v1.1.0
Installed NumericalIntegration ──────── v0.2.0
Installed NNlib ─────────────────────── v0.6.2
Installed Parameters ────────────────── v0.12.0
Installed CUDAdrv ───────────────────── v5.0.1
Installed PDMats ────────────────────── v0.9.10
Installed Reexport ──────────────────── v0.2.0
Installed Distributions ─────────────── v0.21.11
Installed Quadmath ──────────────────── v0.5.2
Installed MLBase ────────────────────── v0.8.0
Installed IterTools ─────────────────── v1.3.0
Installed DocStringExtensions ───────── v0.8.1
Installed Literate ──────────────────── v2.2.1
Installed MKL_jll ───────────────────── v2019.0.117+0
Installed JLD2 ──────────────────────── v0.1.10
Installed Missings ──────────────────── v0.4.3
Installed ValueHistories ────────────── v0.5.1
Installed GLM ───────────────────────── v1.3.5
Installed LIBSVM ────────────────────── v0.4.0
Installed FFTW_jll ──────────────────── v3.3.9+3
Installed DecisionTree ──────────────── v0.10.0
Installed StatsBase ─────────────────── v0.32.0
Installed CategoricalArrays ─────────── v0.7.5
Installed BSON ──────────────────────── v0.2.4
Installed TableTraitsUtils ──────────── v1.0.1
Installed TableTraits ───────────────── v1.0.0
Installed Tables ────────────────────── v0.2.11
Installed DataStructures ────────────── v0.17.6
Installed GPUArrays ─────────────────── v2.0.1
Installed IterableTables ────────────── v1.0.0
Installed LLVM ──────────────────────── v1.3.2
Installed TikzPictures ──────────────── v3.0.5
Installed ROCAnalysis ───────────────── v0.3.0
Installed Nullables ─────────────────── v1.0.0
Installed CSV ───────────────────────── v0.5.21
Installed Cassette ──────────────────── v0.2.6
Installed TextParse ─────────────────── v1.0.0
Installed ClassImbalance ────────────── v0.8.1
Installed JSON ──────────────────────── v0.21.0
Installed FixedPointNumbers ─────────── v0.7.0
Installed FileIO ────────────────────── v1.2.1
Installed StatsModels ───────────────── v0.6.7
Installed MbedTLS ───────────────────── v0.7.0
Installed Knet ──────────────────────── v1.2.7
Installed PooledArrays ──────────────── v0.5.3
Installed Documenter ────────────────── v0.24.3
Installed RDatasets ─────────────────── v0.6.6
Updating `~/.julia/environments/v1.4/Project.toml`
[3e7d7328] + PredictMD v0.34.9
Updating `~/.julia/environments/v1.4/Manifest.toml`
[621f4979] + AbstractFFTs v0.5.0
[79e6a3ab] + Adapt v1.0.0
[dce04be8] + ArgCheck v1.0.1
[7d9fca2a] + Arpack v0.4.0
[68821587] + Arpack_jll v3.5.0+2
[6710c13c] + AutoGrad v1.1.6
[fbb218c0] + BSON v0.2.4
[b99e7846] + BinaryProvider v0.5.8
[fa961155] + CEnum v0.2.0
[336ed68f] + CSV v0.5.21
[5d742f6a] + CSVFiles v1.0.0
[3895d2a7] + CUDAapi v2.1.0
[c5f51814] + CUDAdrv v5.0.1
[be33ccc6] + CUDAnative v2.7.0
[7057c7e9] + Cassette v0.2.6
[324d7699] + CategoricalArrays v0.7.5
[04a18a73] + ClassImbalance v0.8.1
[944b1d66] + CodecZlib v0.6.0
[861a8166] + Combinatorics v1.0.0
[34da2185] + Compat v2.2.0
[3a865a2d] + CuArrays v1.6.0
[9a962f9c] + DataAPI v1.1.0
[124859b0] + DataDeps v0.7.1
[a93c6f00] + DataFrames v0.20.0
[864edb3b] + DataStructures v0.17.6
[e2d170a0] + DataValueInterfaces v1.0.0
[e7dc6d0d] + DataValues v0.4.12
[7806a523] + DecisionTree v0.10.0
[3f0dd361] + DefaultApplication v0.1.3
[31c24e10] + Distributions v0.21.11
[ffbed154] + DocStringExtensions v0.8.1
[e30172f5] + Documenter v0.24.3
[497a8b3b] + DoubleFloats v1.0.3
[8f5d6c58] + EzXML v0.9.5
[7a1cc6ca] + FFTW v1.2.0
[f5851436] + FFTW_jll v3.3.9+3
[5789e2e9] + FileIO v1.2.1
[48062228] + FilePathsBase v0.7.0
[1a297f60] + FillArrays v0.8.2
[53c48c17] + FixedPointNumbers v0.7.0
[38e38edf] + GLM v1.3.5
[0c68f7d7] + GPUArrays v2.0.1
[92fee26a] + GZip v0.5.1
[01680d73] + GenericSVD v0.2.2
[c145ed77] + GenericSchur v0.3.0
[cd3eb016] + HTTP v0.8.8
[83e8ac13] + IniFile v0.5.0
[1d5cc7b8] + IntelOpenMP_jll v2018.0.3+0
[41ab1584] + InvertedIndices v1.0.0
[c8e1da08] + IterTools v1.3.0
[1c8ee90f] + IterableTables v1.0.0
[82899510] + IteratorInterfaceExtensions v1.0.0
[033835bb] + JLD2 v0.1.10
[682c06a0] + JSON v0.21.0
[1902f260] + Knet v1.2.7
[2d691ee1] + LIBLINEAR v0.5.1
[b1bec4e5] + LIBSVM v0.4.0
[929cbde3] + LLVM v1.3.2
[b964fa9f] + LaTeXStrings v1.0.3
[98b081ad] + Literate v2.2.1
[856f044c] + MKL_jll v2019.0.117+0
[f0e99cf1] + MLBase v0.8.0
[1914dd2f] + MacroTools v0.5.3
[739be429] + MbedTLS v0.7.0
[e1d29d7a] + Missings v0.4.3
[78c3b35d] + Mocking v0.7.0
[872c559c] + NNlib v0.6.2
[4d1e1d77] + Nullables v1.0.0
[e7bfaba1] + NumericalIntegration v0.2.0
[4536629a] + OpenBLAS_jll v0.3.7+2
[efe28fd5] + OpenSpecFun_jll v0.5.3+1
[bac558e1] + OrderedCollections v1.1.0
[90014a1f] + PDMats v0.9.10
[8314cec4] + PGFPlotsX v1.2.1
[d96e819e] + Parameters v0.12.0
[69de0a69] + Parsers v0.3.10
[f27b6e38] + Polynomials v0.6.0
[2dfb63ee] + PooledArrays v0.5.3
[3e7d7328] + PredictMD v0.34.9
[df4d2c64] + PredictMDAPI v0.3.0
[92933f4c] + ProgressMeter v1.2.0
[1fd47b50] + QuadGK v2.3.1
[be4d8f0f] + Quadmath v0.5.2
[df47a6cb] + RData v0.6.3
[ce6b1742] + RDatasets v0.6.6
[f535d66d] + ROCAnalysis v0.3.0
[3cdcf5f2] + RecipesBase v0.7.0
[189a3867] + Reexport v0.2.0
[ae029012] + Requires v0.5.2
[79098fc4] + Rmath v0.6.0
[6e75b9c4] + ScikitLearnBase v0.5.0
[1277b4bf] + ShiftedArrays v1.0.0
[a2af1166] + SortingAlgorithms v0.3.1
[276daf66] + SpecialFunctions v0.9.0
[2913bbd2] + StatsBase v0.32.0
[4c63d2b9] + StatsFuns v0.9.3
[3eaba693] + StatsModels v0.6.7
[5e66a065] + TableShowUtils v0.2.5
[3783bdb8] + TableTraits v1.0.0
[382cd787] + TableTraitsUtils v1.0.1
[bd369af6] + Tables v0.2.11
[e0df1984] + TextParse v1.0.0
[37f6aa50] + TikzPictures v3.0.5
[f269a46b] + TimeZones v0.10.3
[a759f4b9] + TimerOutputs v0.5.3
[3bb67fe8] + TranscodingStreams v0.9.5
[b8865327] + UnicodePlots v1.1.0
[98cad3c8] + ValueHistories v0.5.1
[ea10d353] + WeakRefStrings v0.6.2
[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_7aRzbu/Project.toml`
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Updating `/tmp/jl_7aRzbu/Manifest.toml`
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Building LIBLINEAR → `~/.julia/packages/LIBLINEAR/yTdp5/deps/build.log`
Updating `/tmp/jl_wW49yn/Project.toml`
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Updating `/tmp/jl_wW49yn/Manifest.toml`
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Building CodecZlib → `~/.julia/packages/CodecZlib/5t9zO/deps/build.log`
Updating `/tmp/jl_5KuQ5u/Project.toml`
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Updating `/tmp/jl_5KuQ5u/Manifest.toml`
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Building EzXML ────→ `~/.julia/packages/EzXML/QtGgF/deps/build.log`
Updating `/tmp/jl_uh3HsW/Project.toml`
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Updating `/tmp/jl_uh3HsW/Manifest.toml`
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Building TimeZones → `~/.julia/packages/TimeZones/pjvlM/deps/build.log`
Updating `/tmp/jl_1nPDrF/Project.toml`
[no changes]
Updating `/tmp/jl_1nPDrF/Manifest.toml`
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Building FFTW ─────→ `~/.julia/packages/FFTW/qqcBj/deps/build.log`
Updating `/tmp/jl_4foqz2/Project.toml`
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Updating `/tmp/jl_4foqz2/Manifest.toml`
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Building NNlib ────→ `~/.julia/packages/NNlib/udnNA/deps/build.log`
Updating `/tmp/jl_7Z7R9r/Project.toml`
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Building LIBSVM ───→ `~/.julia/packages/LIBSVM/5Z99T/deps/build.log`
Updating `/tmp/jl_uyL4d4/Project.toml`
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Updating `/tmp/jl_BJNLHQ/Project.toml`
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Building MbedTLS ──→ `~/.julia/packages/MbedTLS/a1JFn/deps/build.log`
Updating `/tmp/jl_sZPkSP/Project.toml`
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Testing PredictMD
Installed ScientificTypes ──────── v0.3.2
Installed Distances ────────────── v0.8.2
Installed DocumenterMarkdown ───── v0.2.0
Installed Unitful ──────────────── v0.18.0
Installed BenchmarkTools ───────── v0.4.3
Installed ComputationalResources ─ v0.3.0
Installed DocumenterLaTeX ──────── v0.2.0
Installed PredictMDExtra ───────── v0.13.9
Installed PkgBenchmark ─────────── v0.2.6
Installed LearnBase ────────────── v0.2.2
Installed Glob ─────────────────── v1.2.0
Installed Coverage ─────────────── v1.0.0
Installed Formatting ───────────── v0.4.1
Installed Memento ──────────────── v0.12.1
Installed MLJModels ────────────── v0.6.2
Installed ColorTypes ───────────── v0.8.1
Installed Colors ───────────────── v0.10.1
Installed LossFunctions ────────── v0.5.1
Installed StaticArrays ─────────── v0.12.1
Installed CoverageTools ────────── v1.0.0
Installed Compose ──────────────── v0.7.3
Installed MLJ ──────────────────── v0.6.0
Installed PrettyTables ─────────── v0.6.0
Installed Measures ─────────────── v0.3.1
Installed NearestNeighbors ─────── v0.4.4
Installed MLJBase ──────────────── v0.9.1
Installed ConstructionBase ─────── v1.0.0
Installed MemPool ──────────────── v0.2.0
Installed Clustering ───────────── v0.13.3
Installed RemoteFiles ──────────── v0.3.1
Installed DeIdentification ─────── v0.8.0
Installed MultivariateStats ────── v0.7.0
Installed Crayons ──────────────── v4.0.1
Installed YAML ─────────────────── v0.3.2
Installed Syslogs ──────────────── v0.3.0
Installed Codecs ───────────────── v0.5.0
Updating `/tmp/jl_voxRue/Project.toml`
[cd674d7a] + DocumenterLaTeX v0.2.0
[997ab1e6] + DocumenterMarkdown v0.2.0
[d14d998a] + PredictMDExtra v0.13.9
[321657f4] + ScientificTypes v0.3.2
[1986cc42] + Unitful v0.18.0
Updating `/tmp/jl_voxRue/Manifest.toml`
[6e4b80f9] + BenchmarkTools v0.4.3
[aaaa29a8] + Clustering v0.13.3
[19ecbf4d] + Codecs v0.5.0
[3da002f7] + ColorTypes v0.8.1
[5ae59095] + Colors v0.10.1
[a81c6b42] + Compose v0.7.3
[ed09eef8] + ComputationalResources v0.3.0
[187b0558] + ConstructionBase v1.0.0
[a2441757] + Coverage v1.0.0
[c36e975a] + CoverageTools v1.0.0
[a8cc5b0e] + Crayons v4.0.1
[b905b068] + DeIdentification v0.8.0
[b4f34e82] + Distances v0.8.2
[cd674d7a] + DocumenterLaTeX v0.2.0
[997ab1e6] + DocumenterMarkdown v0.2.0
[59287772] + Formatting v0.4.1
[c27321d9] + Glob v1.2.0
[7f8f8fb0] + LearnBase v0.2.2
[30fc2ffe] + LossFunctions v0.5.1
[add582a8] + MLJ v0.6.0
[a7f614a8] + MLJBase v0.9.1
[d491faf4] + MLJModels v0.6.2
[442fdcdd] + Measures v0.3.1
[f9f48841] + MemPool v0.2.0
[f28f55f0] + Memento v0.12.1
[6f286f6a] + MultivariateStats v0.7.0
[b8a86587] + NearestNeighbors v0.4.4
[32113eaa] + PkgBenchmark v0.2.6
[d14d998a] + PredictMDExtra v0.13.9
[08abe8d2] + PrettyTables v0.6.0
[cbe49d4c] + RemoteFiles v0.3.1
[321657f4] + ScientificTypes v0.3.2
[90137ffa] + StaticArrays v0.12.1
[cea106d9] + Syslogs v0.3.0
[1986cc42] + Unitful v0.18.0
[ddb6d928] + YAML v0.3.2
Building PkgBenchmark → `~/.julia/packages/PkgBenchmark/fIDIa/deps/build.log`
Updating `/tmp/jl_oOX7E2/Project.toml`
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Running sandbox
Status `/tmp/jl_voxRue/Project.toml`
[79e6a3ab] Adapt v1.0.0
[fbb218c0] BSON v0.2.4
[5d742f6a] CSVFiles v1.0.0
[3895d2a7] CUDAapi v2.1.0
[7057c7e9] Cassette v0.2.6
[324d7699] CategoricalArrays v0.7.5
[04a18a73] ClassImbalance v0.8.1
[861a8166] Combinatorics v1.0.0
[124859b0] DataDeps v0.7.1
[a93c6f00] DataFrames v0.20.0
[7806a523] DecisionTree v0.10.0
[3f0dd361] DefaultApplication v0.1.3
[31c24e10] Distributions v0.21.11
[e30172f5] Documenter v0.24.3
[cd674d7a] DocumenterLaTeX v0.2.0
[997ab1e6] DocumenterMarkdown v0.2.0
[7a1cc6ca] FFTW v1.2.0
[5789e2e9] FileIO v1.2.1
[53c48c17] FixedPointNumbers v0.7.0
[38e38edf] GLM v1.3.5
[92fee26a] GZip v0.5.1
[cd3eb016] HTTP v0.8.8
[c8e1da08] IterTools v1.3.0
[1c8ee90f] IterableTables v1.0.0
[033835bb] JLD2 v0.1.10
[1902f260] Knet v1.2.7
[b1bec4e5] LIBSVM v0.4.0
[b964fa9f] LaTeXStrings v1.0.3
[98b081ad] Literate v2.2.1
[f0e99cf1] MLBase v0.8.0
[1914dd2f] MacroTools v0.5.3
[e7bfaba1] NumericalIntegration v0.2.0
[8314cec4] PGFPlotsX v1.2.1
[3e7d7328] PredictMD v0.34.9
[df4d2c64] PredictMDAPI v0.3.0
[d14d998a] PredictMDExtra v0.13.9
[92933f4c] ProgressMeter v1.2.0
[df47a6cb] RData v0.6.3
[ce6b1742] RDatasets v0.6.6
[f535d66d] ROCAnalysis v0.3.0
[ae029012] Requires v0.5.2
[321657f4] ScientificTypes v0.3.2
[2913bbd2] StatsBase v0.32.0
[3eaba693] StatsModels v0.6.7
[bd369af6] Tables v0.2.11
[37f6aa50] TikzPictures v3.0.5
[b8865327] UnicodePlots v1.1.0
[1986cc42] Unitful v0.18.0
[98cad3c8] ValueHistories v0.5.1
[8bb1440f] DelimitedFiles
[8ba89e20] Distributed
[b77e0a4c] InteractiveUtils
[37e2e46d] LinearAlgebra
[44cfe95a] Pkg
[9a3f8284] Random
[10745b16] Statistics
[8dfed614] Test
[ Info: Model metadata loaded from registry.
Resolving package versions...
Updating `/tmp/jl_voxRue/Project.toml`
[6e4b80f9] + BenchmarkTools v0.4.3
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Resolving package versions...
Updating `/tmp/jl_voxRue/Project.toml`
[aaaa29a8] + Clustering v0.13.3
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Resolving package versions...
Updating `/tmp/jl_voxRue/Project.toml`
[a81c6b42] + Compose v0.7.3
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Updating `/tmp/jl_voxRue/Project.toml`
[a2441757] + Coverage v1.0.0
Updating `/tmp/jl_voxRue/Manifest.toml`
[no changes]
Resolving package versions...
Updating `/tmp/jl_voxRue/Project.toml`
[ade2ca70] + Dates
Updating `/tmp/jl_voxRue/Manifest.toml`
[no changes]
Resolving package versions...
Updating `/tmp/jl_voxRue/Project.toml`
[b905b068] + DeIdentification v0.8.0
Updating `/tmp/jl_voxRue/Manifest.toml`
[no changes]
Resolving package versions...
Updating `/tmp/jl_voxRue/Project.toml`
[b4f34e82] + Distances v0.8.2
Updating `/tmp/jl_voxRue/Manifest.toml`
[no changes]
Resolving package versions...
Updating `/tmp/jl_voxRue/Project.toml`
[add582a8] + MLJ v0.6.0
Updating `/tmp/jl_voxRue/Manifest.toml`
[no changes]
Resolving package versions...
Updating `/tmp/jl_voxRue/Project.toml`
[a7f614a8] + MLJBase v0.9.1
Updating `/tmp/jl_voxRue/Manifest.toml`
[no changes]
Resolving package versions...
Updating `/tmp/jl_voxRue/Project.toml`
[d491faf4] + MLJModels v0.6.2
Updating `/tmp/jl_voxRue/Manifest.toml`
[no changes]
Resolving package versions...
Updating `/tmp/jl_voxRue/Project.toml`
[f9f48841] + MemPool v0.2.0
Updating `/tmp/jl_voxRue/Manifest.toml`
[no changes]
Resolving package versions...
Updating `/tmp/jl_voxRue/Project.toml`
[6f286f6a] + MultivariateStats v0.7.0
Updating `/tmp/jl_voxRue/Manifest.toml`
[no changes]
Resolving package versions...
Updating `/tmp/jl_voxRue/Project.toml`
[32113eaa] + PkgBenchmark v0.2.6
Updating `/tmp/jl_voxRue/Manifest.toml`
[no changes]
Resolving package versions...
Updating `/tmp/jl_voxRue/Project.toml`
[cbe49d4c] + RemoteFiles v0.3.1
Updating `/tmp/jl_voxRue/Manifest.toml`
[no changes]
Resolving package versions...
Updating `/tmp/jl_voxRue/Project.toml`
[79098fc4] + Rmath v0.6.0
Updating `/tmp/jl_voxRue/Manifest.toml`
[no changes]
Resolving package versions...
Updating `/tmp/jl_voxRue/Project.toml`
[a759f4b9] + TimerOutputs v0.5.3
Updating `/tmp/jl_voxRue/Manifest.toml`
[no changes]
[ Info: PREDICTMD_TEST_GROUP: "all"
[ Info: PREDICTMD_TEST_PLOTS: "true"
Julia Version 1.4.0-DEV.674
Commit 082f446f52 (2020-01-02 16:59 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
uname: Linux 4.15.0-72-generic #81-Ubuntu SMP Tue Nov 26 12:20:02 UTC 2019 x86_64 x86_64
CPU: Intel(R) Xeon(R) Silver 4114 CPU @ 2.20GHz:
speed user nice sys idle irq
#1-40 2499 MHz 2555360087 s 2935535 s 368129993 s 3149565519 s 0 s
Memory: 376.5906066894531 GB (237980.48828125 MB free)
Uptime: 1.521833e6 sec
Load Avg: 60.43505859375 58.51904296875 54.4150390625
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-8.0.1 (ORCJIT, skylake)
Environment:
JULIA_DEPOT_PATH = ::/usr/local/share/julia
JULIA_LOAD_PATH = @:/tmp/jl_voxRue
PATH = /usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
JULIA_DEPOT_PATH = ::/usr/local/share/julia
HOME = /home/pkgeval
JULIA_LOAD_PATH = @:/tmp/jl_voxRue
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = top-level scope at smote.jl:18
└ @ Core ~/.julia/packages/PredictMD/A0Ms6/test/unit/toplevel/classimbalance/smote.jl:18
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = top-level scope at splitdata.jl:3
└ @ Core ~/.julia/packages/PredictMD/A0Ms6/test/unit/toplevel/modelselection/splitdata.jl:3
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = top-level scope at dataframecontrasts.jl:6
└ @ Core ~/.julia/packages/PredictMD/A0Ms6/test/unit/toplevel/preprocessing/dataframecontrasts.jl:6
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = top-level scope at dataframecontrasts.jl:14
└ @ Core ~/.julia/packages/PredictMD/A0Ms6/test/unit/toplevel/preprocessing/dataframecontrasts.jl:14
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = top-level scope at dataframecontrasts.jl:18
└ @ Core ~/.julia/packages/PredictMD/A0Ms6/test/unit/toplevel/preprocessing/dataframecontrasts.jl:18
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = top-level scope at constant_columns.jl:47
└ @ Core ~/.julia/packages/PredictMD/A0Ms6/test/unit/toplevel/utils/constant_columns.jl:47
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = top-level scope at constant_columns.jl:48
└ @ Core ~/.julia/packages/PredictMD/A0Ms6/test/unit/toplevel/utils/constant_columns.jl:48
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = find_constant_columns(::DataFrames.DataFrame) at constant_columns.jl:66
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/utils/constant_columns.jl:66
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = predictionsassoctodataframe(::Dict{Symbol,Array{Float64,1}}, ::Array{Symbol,1}) at predictionsassoctodataframe.jl:14
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/utils/predictionsassoctodataframe.jl:14
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = columns_are_linearly_independent(::DataFrames.DataFrame, ::Array{Symbol,1}) at linearly_dependent_columns.jl:40
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/utils/linearly_dependent_columns.jl:40
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = linearly_dependent_columns(::DataFrames.DataFrame, ::Array{Symbol,1}) at linearly_dependent_columns.jl:72
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/utils/linearly_dependent_columns.jl:72
┌ Warning: `deletecols!(df::DataFrame, inds)` is deprecated, use `select!(df, Not(inds))` instead.
│ caller = macro expansion at test_linearly_dependent_columns.jl:96 [inlined]
└ @ Core ~/.julia/packages/PredictMD/A0Ms6/test/unit/toplevel/utils/test_linearly_dependent_columns.jl:96
[ Info: generating plain script file from `~/.julia/packages/PredictMD/A0Ms6/templates/examples/cpu_examples/boston_housing/src/01_preprocess_data.jl`
[ Info: writing result to `/tmp/jl_ZI1ZOB/generate_examples/PredictMDTemp/docs/src/examples/cpu_examples/boston_housing/src/01_preprocess_data.jl`
[ Info: generating plain script file from `~/.julia/packages/PredictMD/A0Ms6/templates/examples/cpu_examples/boston_housing/src/02_linear_regression.jl`
[ Info: writing result to `/tmp/jl_ZI1ZOB/generate_examples/PredictMDTemp/docs/src/examples/cpu_examples/boston_housing/src/02_linear_regression.jl`
[ Info: generating plain script file from `~/.julia/packages/PredictMD/A0Ms6/templates/examples/cpu_examples/boston_housing/src/03_random_forest_regression.jl`
[ Info: writing result to `/tmp/jl_ZI1ZOB/generate_examples/PredictMDTemp/docs/src/examples/cpu_examples/boston_housing/src/03_random_forest_regression.jl`
[ Info: generating plain script file from `~/.julia/packages/PredictMD/A0Ms6/templates/examples/cpu_examples/boston_housing/src/04_knet_mlp_regression.jl`
[ Info: writing result to `/tmp/jl_ZI1ZOB/generate_examples/PredictMDTemp/docs/src/examples/cpu_examples/boston_housing/src/04_knet_mlp_regression.jl`
[ Info: generating plain script file from `~/.julia/packages/PredictMD/A0Ms6/templates/examples/cpu_examples/boston_housing/src/05_compare_models.jl`
[ Info: writing result to `/tmp/jl_ZI1ZOB/generate_examples/PredictMDTemp/docs/src/examples/cpu_examples/boston_housing/src/05_compare_models.jl`
[ Info: generating plain script file from `~/.julia/packages/PredictMD/A0Ms6/templates/examples/cpu_examples/boston_housing/src/06_get_model_output.jl`
[ Info: writing result to `/tmp/jl_ZI1ZOB/generate_examples/PredictMDTemp/docs/src/examples/cpu_examples/boston_housing/src/06_get_model_output.jl`
[ Info: generating plain script file from `~/.julia/packages/PredictMD/A0Ms6/templates/examples/cpu_examples/breast_cancer_biopsy/src/01_preprocess_data.jl`
[ Info: writing result to `/tmp/jl_ZI1ZOB/generate_examples/PredictMDTemp/docs/src/examples/cpu_examples/breast_cancer_biopsy/src/01_preprocess_data.jl`
[ Info: generating plain script file from `~/.julia/packages/PredictMD/A0Ms6/templates/examples/cpu_examples/breast_cancer_biopsy/src/02_smote.jl`
[ Info: writing result to `/tmp/jl_ZI1ZOB/generate_examples/PredictMDTemp/docs/src/examples/cpu_examples/breast_cancer_biopsy/src/02_smote.jl`
[ Info: generating plain script file from `~/.julia/packages/PredictMD/A0Ms6/templates/examples/cpu_examples/breast_cancer_biopsy/src/03_logistic_classifier.jl`
[ Info: writing result to `/tmp/jl_ZI1ZOB/generate_examples/PredictMDTemp/docs/src/examples/cpu_examples/breast_cancer_biopsy/src/03_logistic_classifier.jl`
[ Info: generating plain script file from `~/.julia/packages/PredictMD/A0Ms6/templates/examples/cpu_examples/breast_cancer_biopsy/src/04_random_forest_classifier.jl`
[ Info: writing result to `/tmp/jl_ZI1ZOB/generate_examples/PredictMDTemp/docs/src/examples/cpu_examples/breast_cancer_biopsy/src/04_random_forest_classifier.jl`
[ Info: generating plain script file from `~/.julia/packages/PredictMD/A0Ms6/templates/examples/cpu_examples/breast_cancer_biopsy/src/05_c_svc_svm_classifier.jl`
[ Info: writing result to `/tmp/jl_ZI1ZOB/generate_examples/PredictMDTemp/docs/src/examples/cpu_examples/breast_cancer_biopsy/src/05_c_svc_svm_classifier.jl`
[ Info: generating plain script file from `~/.julia/packages/PredictMD/A0Ms6/templates/examples/cpu_examples/breast_cancer_biopsy/src/06_nu_svc_svm_classifier.jl`
[ Info: writing result to `/tmp/jl_ZI1ZOB/generate_examples/PredictMDTemp/docs/src/examples/cpu_examples/breast_cancer_biopsy/src/06_nu_svc_svm_classifier.jl`
[ Info: generating plain script file from `~/.julia/packages/PredictMD/A0Ms6/templates/examples/cpu_examples/breast_cancer_biopsy/src/07_knet_mlp_classifier.jl`
[ Info: writing result to `/tmp/jl_ZI1ZOB/generate_examples/PredictMDTemp/docs/src/examples/cpu_examples/breast_cancer_biopsy/src/07_knet_mlp_classifier.jl`
[ Info: generating plain script file from `~/.julia/packages/PredictMD/A0Ms6/templates/examples/cpu_examples/breast_cancer_biopsy/src/08_compare_models.jl`
[ Info: writing result to `/tmp/jl_ZI1ZOB/generate_examples/PredictMDTemp/docs/src/examples/cpu_examples/breast_cancer_biopsy/src/08_compare_models.jl`
[ Info: generating plain script file from `~/.julia/packages/PredictMD/A0Ms6/templates/examples/cpu_examples/breast_cancer_biopsy/src/09_get_model_output.jl`
[ Info: writing result to `/tmp/jl_ZI1ZOB/generate_examples/PredictMDTemp/docs/src/examples/cpu_examples/breast_cancer_biopsy/src/09_get_model_output.jl`
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = top-level scope at 01_preprocess_data.jl:63
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/boston_housing/src/01_preprocess_data.jl:63
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = top-level scope at 01_preprocess_data.jl:67
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/boston_housing/src/01_preprocess_data.jl:67
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = top-level scope at 01_preprocess_data.jl:67
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/boston_housing/src/01_preprocess_data.jl:67
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = top-level scope at 01_preprocess_data.jl:69
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/boston_housing/src/01_preprocess_data.jl:69
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = top-level scope at 01_preprocess_data.jl:73
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/boston_housing/src/01_preprocess_data.jl:73
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = top-level scope at 01_preprocess_data.jl:73
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/boston_housing/src/01_preprocess_data.jl:73
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = transform_columns!(::DataFrames.DataFrame, ::PredictMD.var"#make_continuous_column#187"{DataType}, ::Symbol) at transform_columns.jl:12
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/utils/transform_columns.jl:12
┌ Warning: `deletecols!(df::DataFrame, inds)` is deprecated, use `select!(df, Not(inds))` instead.
│ caller = transform_columns!(::DataFrames.DataFrame, ::PredictMD.var"#make_continuous_column#187"{DataType}, ::Symbol) at transform_columns.jl:13
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/utils/transform_columns.jl:13
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = transform_columns!(::DataFrames.DataFrame, ::PredictMD.var"#make_continuous_column#187"{DataType}, ::Symbol) at transform_columns.jl:15
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/utils/transform_columns.jl:15
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = transform_columns!(::DataFrames.DataFrame, ::typeof(PredictMD.fix_type), ::Symbol) at transform_columns.jl:12
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/utils/transform_columns.jl:12
┌ Warning: `deletecols!(df::DataFrame, inds)` is deprecated, use `select!(df, Not(inds))` instead.
│ caller = transform_columns!(::DataFrames.DataFrame, ::typeof(PredictMD.fix_type), ::Symbol) at transform_columns.jl:13
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/utils/transform_columns.jl:13
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = transform_columns!(::DataFrames.DataFrame, ::typeof(PredictMD.fix_type), ::Symbol) at transform_columns.jl:15
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/utils/transform_columns.jl:15
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = check_column_types(::DataFrames.DataFrame; categorical_feature_names::Array{Symbol,1}, continuous_feature_names::Array{Symbol,1}, categorical_label_names::Array{Symbol,1}, continuous_label_names::Array{Symbol,1}) at dataframe_column_types.jl:69
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/utils/dataframe_column_types.jl:69
┌ Warning: `getindex(df::DataFrame, col_inds::Union{AbstractVector, Regex, Not})` is deprecated, use `df[:, col_inds]` instead.
│ caller = top-level scope at 01_preprocess_data.jl:150
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/boston_housing/src/01_preprocess_data.jl:150
┌ Warning: `getindex(df::DataFrame, col_inds::Union{AbstractVector, Regex, Not})` is deprecated, use `df[:, col_inds]` instead.
│ caller = top-level scope at 01_preprocess_data.jl:151
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/boston_housing/src/01_preprocess_data.jl:151
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = top-level scope at 01_preprocess_data.jl:153
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/boston_housing/src/01_preprocess_data.jl:153
[ Info: Starting to train GLM model.
[ Info: Finished training GLM model.
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = predict(::PredictMD.GLMModel, ::DataFrames.DataFrame) at glm.jl:94
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/linearmodel/glm.jl:94
[ Info: Starting to train GLM model.
[ Info: Finished training GLM model.
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = plotsinglelabelregressiontrueversuspredicted(::PredictMD.SimplePipeline{String,Array{PredictMDAPI.AbstractFittable,1}}, ::DataFrames.DataFrame, ::DataFrames.DataFrame, ::Symbol; includeorigin::Bool, legend_pos::String) at plotsinglelabelregressiontruevspredicted.jl:14
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/plotting/plotsinglelabelregressiontruevspredicted.jl:14
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = plotsinglelabelregressiontrueversuspredicted(::PredictMD.SimplePipeline{String,Array{PredictMDAPI.AbstractFittable,1}}, ::DataFrames.DataFrame, ::DataFrames.DataFrame, ::Symbol; includeorigin::Bool, legend_pos::String) at plotsinglelabelregressiontruevspredicted.jl:18
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/plotting/plotsinglelabelregressiontruevspredicted.jl:18
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = singlelabelregressionmetrics_resultdict(::PredictMD.SimplePipeline{String,Array{PredictMDAPI.AbstractFittable,1}}, ::DataFrames.DataFrame, ::DataFrames.DataFrame, ::Symbol) at singlelabelregressionmetrics.jl:33
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/metrics/singlelabelregressionmetrics.jl:33
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = singlelabelregressionmetrics_resultdict(::PredictMD.SimplePipeline{String,Array{PredictMDAPI.AbstractFittable,1}}, ::DataFrames.DataFrame, ::DataFrames.DataFrame, ::Symbol) at singlelabelregressionmetrics.jl:37
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/metrics/singlelabelregressionmetrics.jl:37
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = singlelabelregressionmetrics(::Array{PredictMDAPI.AbstractFittable,1}, ::DataFrames.DataFrame, ::DataFrames.DataFrame, ::Symbol; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}) at singlelabelregressionmetrics.jl:94
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/metrics/singlelabelregressionmetrics.jl:94
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = singlelabelregressionmetrics(::Array{PredictMDAPI.AbstractFittable,1}, ::DataFrames.DataFrame, ::DataFrames.DataFrame, ::Symbol; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}) at singlelabelregressionmetrics.jl:100
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/metrics/singlelabelregressionmetrics.jl:100
cpu_examples/bostonhousing/src/02_linear_regression.jl: Error During Test at /home/pkgeval/.julia/packages/PredictMD/A0Ms6/test/all-testsets.jl:144
Got exception outside of a @test
LoadError: setfield! immutable struct of type Term cannot be changed
Stacktrace:
[1] newstruct!(::StatsModels.Term, ::Symbol) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/extensions.jl:99
[2] newstruct_raw(::IdDict{Any,Any}, ::Type{T} where T, ::Dict{Symbol,Any}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/extensions.jl:125
[3] (::BSON.var"#43#44")(::Dict{Symbol,Any}, ::IdDict{Any,Any}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/extensions.jl:140
[4] raise_recursive(::Dict{Symbol,Any}, ::IdDict{Any,Any}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/read.jl:88
[5] (::BSON.var"#39#40"{IdDict{Any,Any}})(::Dict{Symbol,Any}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/extensions.jl:124
[6] iterate at ./generator.jl:47 [inlined]
[7] _collect(::Array{Any,1}, ::Base.Generator{Array{Any,1},BSON.var"#39#40"{IdDict{Any,Any}}}, ::Base.EltypeUnknown, ::Base.HasShape{1}) at ./array.jl:678
[8] collect_similar(::Array{Any,1}, ::Base.Generator{Array{Any,1},BSON.var"#39#40"{IdDict{Any,Any}}}) at ./array.jl:607
[9] map(::Function, ::Array{Any,1}) at ./abstractarray.jl:2072
[10] newstruct_raw(::IdDict{Any,Any}, ::Type{T} where T, ::Dict{Symbol,Any}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/extensions.jl:124
[11] (::BSON.var"#43#44")(::Dict{Symbol,Any}, ::IdDict{Any,Any}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/extensions.jl:140
[12] raise_recursive(::Dict{Symbol,Any}, ::IdDict{Any,Any}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/read.jl:88
[13] (::BSON.var"#39#40"{IdDict{Any,Any}})(::Dict{Symbol,Any}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/extensions.jl:124
[14] iterate at ./generator.jl:47 [inlined]
[15] collect_to!(::Array{Any,1}, ::Base.Generator{Array{Any,1},BSON.var"#39#40"{IdDict{Any,Any}}}, ::Int64, ::Int64) at ./array.jl:710
[16] collect_to!(::Array{String,1}, ::Base.Generator{Array{Any,1},BSON.var"#39#40"{IdDict{Any,Any}}}, ::Int64, ::Int64) at ./array.jl:718
[17] collect_to_with_first!(::Array{String,1}, ::String, ::Base.Generator{Array{Any,1},BSON.var"#39#40"{IdDict{Any,Any}}}, ::Int64) at ./array.jl:689
[18] _collect(::Array{Any,1}, ::Base.Generator{Array{Any,1},BSON.var"#39#40"{IdDict{Any,Any}}}, ::Base.EltypeUnknown, ::Base.HasShape{1}) at ./array.jl:683
[19] collect_similar(::Array{Any,1}, ::Base.Generator{Array{Any,1},BSON.var"#39#40"{IdDict{Any,Any}}}) at ./array.jl:607
[20] map(::Function, ::Array{Any,1}) at ./abstractarray.jl:2072
[21] newstruct_raw(::IdDict{Any,Any}, ::Type{T} where T, ::Dict{Symbol,Any}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/extensions.jl:124
[22] (::BSON.var"#43#44")(::Dict{Symbol,Any}, ::IdDict{Any,Any}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/extensions.jl:140
[23] raise_recursive(::Dict{Symbol,Any}, ::IdDict{Any,Any}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/read.jl:88
[24] (::BSON.var"#21#22"{IdDict{Any,Any}})(::Dict{Symbol,Any}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/read.jl:94
[25] applychildren!(::BSON.var"#21#22"{IdDict{Any,Any}}, ::Array{Any,1}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/BSON.jl:28
[26] raise_recursive at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/read.jl:94 [inlined]
[27] (::BSON.var"#39#40"{IdDict{Any,Any}})(::Array{Any,1}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/extensions.jl:124
[28] iterate at ./generator.jl:47 [inlined]
[29] collect_to!(::Array{String,1}, ::Base.Generator{Array{Any,1},BSON.var"#39#40"{IdDict{Any,Any}}}, ::Int64, ::Int64) at ./array.jl:710
[30] collect_to_with_first!(::Array{String,1}, ::String, ::Base.Generator{Array{Any,1},BSON.var"#39#40"{IdDict{Any,Any}}}, ::Int64) at ./array.jl:689
[31] _collect(::Array{Any,1}, ::Base.Generator{Array{Any,1},BSON.var"#39#40"{IdDict{Any,Any}}}, ::Base.EltypeUnknown, ::Base.HasShape{1}) at ./array.jl:683
[32] collect_similar(::Array{Any,1}, ::Base.Generator{Array{Any,1},BSON.var"#39#40"{IdDict{Any,Any}}}) at ./array.jl:607
[33] map(::Function, ::Array{Any,1}) at ./abstractarray.jl:2072
[34] newstruct_raw(::IdDict{Any,Any}, ::Type{T} where T, ::Dict{Symbol,Any}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/extensions.jl:124
[35] (::BSON.var"#43#44")(::Dict{Symbol,Any}, ::IdDict{Any,Any}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/extensions.jl:140
[36] raise_recursive(::Dict{Symbol,Any}, ::IdDict{Any,Any}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/read.jl:88
[37] (::BSON.var"#18#20"{IdDict{Any,Any}})(::Dict{Symbol,Any}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/read.jl:82
[38] applychildren!(::BSON.var"#18#20"{IdDict{Any,Any}}, ::Dict{Symbol,Any}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/BSON.jl:21
[39] _raise_recursive(::Dict{Symbol,Any}, ::IdDict{Any,Any}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/read.jl:82
[40] raise_recursive(::Dict{Symbol,Any}, ::IdDict{Any,Any}) at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/read.jl:89
[41] raise_recursive at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/read.jl:99 [inlined]
[42] load at /home/pkgeval/.julia/packages/BSON/Ryxwc/src/read.jl:104 [inlined]
[43] load_model_bson(::String) at /home/pkgeval/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/io/saveload.jl:121
[44] load_model(::String) at /home/pkgeval/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/io/saveload.jl:88
[45] top-level scope at /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/boston_housing/src/02_linear_regression.jl:329
[46] include(::String) at ./client.jl:439
[47] macro expansion at /home/pkgeval/.julia/packages/PredictMD/A0Ms6/test/all-testsets.jl:145 [inlined]
[48] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.4/Test/src/Test.jl:1116 [inlined]
... (the last 2 lines are repeated 1 more time)
[51] macro expansion at /home/pkgeval/.julia/packages/PredictMD/A0Ms6/test/all-testsets.jl:131 [inlined]
[52] macro expansion at /workspace/srcdir/usr/share/julia/stdlib/v1.4/Test/src/Test.jl:1116 [inlined]
[53] top-level scope at /home/pkgeval/.julia/packages/PredictMD/A0Ms6/test/all-testsets.jl:118
[54] include(::String) at ./client.jl:439
[55] top-level scope at /home/pkgeval/.julia/packages/PredictMD/A0Ms6/test/runtests.jl:16
[56] top-level scope at /workspace/srcdir/usr/share/julia/stdlib/v1.4/Test/src/Test.jl:1116
[57] top-level scope at /home/pkgeval/.julia/packages/PredictMD/A0Ms6/test/runtests.jl:6
[58] include(::String) at ./client.jl:439
[59] top-level scope at none:6
[60] eval(::Module, ::Any) at ./boot.jl:331
[61] exec_options(::Base.JLOptions) at ./client.jl:264
in expression starting at /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/boston_housing/src/02_linear_regression.jl:329
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = transform(::PredictMD.MutableDataFrame2DecisionTreeTransformer, ::DataFrames.DataFrame, ::DataFrames.DataFrame; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}) at dataframetodecisiontree.jl:49
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/preprocessing/dataframetodecisiontree.jl:49
[ Info: Starting to train DecisionTree model.
[ Info: Finished training DecisionTree model.
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = plotsinglelabelregressiontrueversuspredicted(::PredictMD.SimplePipeline{String,Array{Union{PredictMD.DecisionTreeModel, PredictMD.ImmutablePackageSingleLabelPredictionTransformer, PredictMD.MutableDataFrame2DecisionTreeTransformer},1}}, ::DataFrames.DataFrame, ::DataFrames.DataFrame, ::Symbol; includeorigin::Bool, legend_pos::String) at plotsinglelabelregressiontruevspredicted.jl:14
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/plotting/plotsinglelabelregressiontruevspredicted.jl:14
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = predict(::PredictMD.ImmutablePackageSingleLabelPredictionTransformer, ::Array{Float64,1}) at packagesinglelabelpred.jl:24
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/postprocessing/packagesinglelabelpred.jl:24
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = plotsinglelabelregressiontrueversuspredicted(::PredictMD.SimplePipeline{String,Array{Union{PredictMD.DecisionTreeModel, PredictMD.ImmutablePackageSingleLabelPredictionTransformer, PredictMD.MutableDataFrame2DecisionTreeTransformer},1}}, ::DataFrames.DataFrame, ::DataFrames.DataFrame, ::Symbol; includeorigin::Bool, legend_pos::String) at plotsinglelabelregressiontruevspredicted.jl:18
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/plotting/plotsinglelabelregressiontruevspredicted.jl:18
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = singlelabelregressionmetrics_resultdict(::PredictMD.SimplePipeline{String,Array{Union{PredictMD.DecisionTreeModel, PredictMD.ImmutablePackageSingleLabelPredictionTransformer, PredictMD.MutableDataFrame2DecisionTreeTransformer},1}}, ::DataFrames.DataFrame, ::DataFrames.DataFrame, ::Symbol) at singlelabelregressionmetrics.jl:33
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/metrics/singlelabelregressionmetrics.jl:33
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = singlelabelregressionmetrics_resultdict(::PredictMD.SimplePipeline{String,Array{Union{PredictMD.DecisionTreeModel, PredictMD.ImmutablePackageSingleLabelPredictionTransformer, PredictMD.MutableDataFrame2DecisionTreeTransformer},1}}, ::DataFrames.DataFrame, ::DataFrames.DataFrame, ::Symbol) at singlelabelregressionmetrics.jl:37
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/metrics/singlelabelregressionmetrics.jl:37
┌ Warning: optimizers is deprecated, use sgd, adam etc. instead.
└ @ Knet ~/.julia/packages/Knet/IIjk8/src/update.jl:631
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = #162 at none:0 [inlined]
└ @ Core ./none:0
[ Info: Starting to train Knet model. Max epochs: 100.
[ Info: Epoch: 0. Loss (training set): 388.23529143627457. Loss (tuning set): 379.08438862957377.
[ Info: Epoch: 10. Loss (training set): 88.04600781288472. Loss (tuning set): 98.30006254963833.
[ Info: Epoch: 20. Loss (training set): 76.85822115464183. Loss (tuning set): 87.8271289790664.
[ Info: Epoch: 30. Loss (training set): 68.4058973668534. Loss (tuning set): 80.40539067882966.
[ Info: Epoch: 40. Loss (training set): 61.91017974472329. Loss (tuning set): 74.58249845074428.
[ Info: Epoch: 50. Loss (training set): 57.62895856927421. Loss (tuning set): 70.30979538196404.
[ Info: Epoch: 60. Loss (training set): 54.932458651189506. Loss (tuning set): 67.45265660938357.
[ Info: Epoch: 70. Loss (training set): 52.949366018901. Loss (tuning set): 65.29604129987965.
[ Info: Epoch: 80. Loss (training set): 50.77591739783408. Loss (tuning set): 62.83750972495849.
[ Info: Epoch: 90. Loss (training set): 48.41856546675122. Loss (tuning set): 59.64022770929064.
[ Info: Epoch: 100. Loss (training set): 46.49356073314256. Loss (tuning set): 56.23735884389153.
[ Info: Finished training Knet model.
[ Info: Starting to train Knet model. Max epochs: 200.
[ Info: Epoch: 100. Loss (training set): 46.49356073314256. Loss (tuning set): 56.23735884389153.
[ Info: Epoch: 110. Loss (training set): 44.470241104075754. Loss (tuning set): 52.27794608901726.
[ Info: Epoch: 120. Loss (training set): 41.56801476349003. Loss (tuning set): 47.998335905339054.
[ Info: Epoch: 130. Loss (training set): 37.676742166138894. Loss (tuning set): 44.38119935023365.
[ Info: Epoch: 140. Loss (training set): 35.36360133565251. Loss (tuning set): 41.436839289750104.
[ Info: Epoch: 150. Loss (training set): 33.57117207435846. Loss (tuning set): 38.812691399429255.
[ Info: Epoch: 160. Loss (training set): 32.098846877521474. Loss (tuning set): 36.78623858109442.
[ Info: Epoch: 170. Loss (training set): 30.810647676829255. Loss (tuning set): 35.06949105306954.
[ Info: Epoch: 180. Loss (training set): 29.632799665336933. Loss (tuning set): 33.76011165242391.
[ Info: Epoch: 190. Loss (training set): 28.450801508362495. Loss (tuning set): 32.32498615567128.
[ Info: Epoch: 200. Loss (training set): 27.220445113615916. Loss (tuning set): 31.173691853589325.
[ Info: Finished training Knet model.
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = plotsinglelabelregressiontrueversuspredicted(::PredictMD.SimplePipeline{String,Array{Union{PredictMD.ImmutablePackageMultiLabelPredictionTransformer, PredictMD.KnetModel, PredictMD.MutableDataFrame2RegressionKnetTransformer},1}}, ::DataFrames.DataFrame, ::DataFrames.DataFrame, ::Symbol; includeorigin::Bool, legend_pos::String) at plotsinglelabelregressiontruevspredicted.jl:14
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/plotting/plotsinglelabelregressiontruevspredicted.jl:14
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = predict(::PredictMD.ImmutablePackageMultiLabelPredictionTransformer, ::Array{Float64,2}) at packagemultilabelpred.jl:24
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/postprocessing/packagemultilabelpred.jl:24
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = plotsinglelabelregressiontrueversuspredicted(::PredictMD.SimplePipeline{String,Array{Union{PredictMD.ImmutablePackageMultiLabelPredictionTransformer, PredictMD.KnetModel, PredictMD.MutableDataFrame2RegressionKnetTransformer},1}}, ::DataFrames.DataFrame, ::DataFrames.DataFrame, ::Symbol; includeorigin::Bool, legend_pos::String) at plotsinglelabelregressiontruevspredicted.jl:18
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/plotting/plotsinglelabelregressiontruevspredicted.jl:18
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = singlelabelregressionmetrics_resultdict(::PredictMD.SimplePipeline{String,Array{Union{PredictMD.ImmutablePackageMultiLabelPredictionTransformer, PredictMD.KnetModel, PredictMD.MutableDataFrame2RegressionKnetTransformer},1}}, ::DataFrames.DataFrame, ::DataFrames.DataFrame, ::Symbol) at singlelabelregressionmetrics.jl:33
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/metrics/singlelabelregressionmetrics.jl:33
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = singlelabelregressionmetrics_resultdict(::PredictMD.SimplePipeline{String,Array{Union{PredictMD.ImmutablePackageMultiLabelPredictionTransformer, PredictMD.KnetModel, PredictMD.MutableDataFrame2RegressionKnetTransformer},1}}, ::DataFrames.DataFrame, ::DataFrames.DataFrame, ::Symbol) at singlelabelregressionmetrics.jl:37
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/metrics/singlelabelregressionmetrics.jl:37
WARNING: using FileIO.filename in module Main conflicts with an existing identifier.
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = top-level scope at 05_compare_models.jl:250
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/boston_housing/src/05_compare_models.jl:250
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = top-level scope at 05_compare_models.jl:267
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/boston_housing/src/05_compare_models.jl:267
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = top-level scope at 05_compare_models.jl:284
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/boston_housing/src/05_compare_models.jl:284
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = top-level scope at 01_preprocess_data.jl:63
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/breast_cancer_biopsy/src/01_preprocess_data.jl:63
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = top-level scope at 01_preprocess_data.jl:67
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/breast_cancer_biopsy/src/01_preprocess_data.jl:67
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = top-level scope at 01_preprocess_data.jl:67
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/breast_cancer_biopsy/src/01_preprocess_data.jl:67
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = top-level scope at 01_preprocess_data.jl:69
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/breast_cancer_biopsy/src/01_preprocess_data.jl:69
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = top-level scope at 01_preprocess_data.jl:73
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/breast_cancer_biopsy/src/01_preprocess_data.jl:73
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = top-level scope at 01_preprocess_data.jl:73
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/breast_cancer_biopsy/src/01_preprocess_data.jl:73
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = transform_columns!(::DataFrame, ::PredictMD.var"#make_categorical_column#186", ::Symbol) at transform_columns.jl:12
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/utils/transform_columns.jl:12
┌ Warning: `deletecols!(df::DataFrame, inds)` is deprecated, use `select!(df, Not(inds))` instead.
│ caller = transform_columns!(::DataFrame, ::PredictMD.var"#make_categorical_column#186", ::Symbol) at transform_columns.jl:13
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/utils/transform_columns.jl:13
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = transform_columns!(::DataFrame, ::PredictMD.var"#make_categorical_column#186", ::Symbol) at transform_columns.jl:15
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/utils/transform_columns.jl:15
┌ Warning: `getindex(df::DataFrame, col_inds::Union{AbstractVector, Regex, Not})` is deprecated, use `df[:, col_inds]` instead.
│ caller = top-level scope at 01_preprocess_data.jl:139
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/breast_cancer_biopsy/src/01_preprocess_data.jl:139
┌ Warning: `getindex(df::DataFrame, col_inds::Union{AbstractVector, Regex, Not})` is deprecated, use `df[:, col_inds]` instead.
│ caller = top-level scope at 01_preprocess_data.jl:140
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/breast_cancer_biopsy/src/01_preprocess_data.jl:140
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = top-level scope at 02_smote.jl:165
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/breast_cancer_biopsy/src/02_smote.jl:165
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = top-level scope at 02_smote.jl:166
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/breast_cancer_biopsy/src/02_smote.jl:166
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = smote(::Random._GLOBAL_RNG, ::DataFrame, ::DataFrame, ::Array{Symbol,1}, ::Symbol; majorityclass::String, minorityclass::String, pct_over::Int64, minority_to_majority_ratio::Float64, k::Int64) at smote.jl:81
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/classimbalance/smote.jl:81
┌ Warning: `getindex(df::DataFrame, col_inds::Union{AbstractVector, Regex, Not})` is deprecated, use `df[:, col_inds]` instead.
│ caller = smote(::Random._GLOBAL_RNG, ::DataFrame, ::DataFrame, ::Array{Symbol,1}, ::Symbol; majorityclass::String, minorityclass::String, pct_over::Int64, minority_to_majority_ratio::Float64, k::Int64) at smote.jl:93
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/classimbalance/smote.jl:93
┌ Warning: In the future setindex! will disallow adding columns to a DataFrame using integer index. Use a Symbol to specify a column name instead.
│ caller = setindex!(::DataFrame, ::Array{Float64,1}, ::Colon, ::Int64) at dataframe.jl:523
└ @ DataFrames ~/.julia/packages/DataFrames/uPgZV/src/dataframe/dataframe.jl:523
┌ Warning: `names!(df::AbstractDataFrame, vals::Vector{Symbol}; makeunique::Bool = false)` is deprecated, use `rename!(df, vals, makeunique = makeunique)` instead.
│ caller = smote_obs(::DataFrame, ::Int64, ::Int64, ::Array{Symbol,1}) at smote_exs.jl:124
└ @ ClassImbalance ~/.julia/packages/ClassImbalance/EbxpR/src/smote_exs.jl:124
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = smote(::Random._GLOBAL_RNG, ::DataFrame, ::DataFrame, ::Array{Symbol,1}, ::Symbol; majorityclass::String, minorityclass::String, pct_over::Int64, minority_to_majority_ratio::Float64, k::Int64) at smote.jl:114
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/classimbalance/smote.jl:114
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = top-level scope at 02_smote.jl:201
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/breast_cancer_biopsy/src/02_smote.jl:201
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = top-level scope at 02_smote.jl:202
└ @ Core /tmp/jl_KWDjsD/generate_examples/PredictMDTEMP/examples/cpu_examples/breast_cancer_biopsy/src/02_smote.jl:202
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = predict(::PredictMD.GLMModel, ::DataFrame) at glm.jl:81
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/linearmodel/glm.jl:81
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = predict(::PredictMD.ImmutablePredictionsSingleLabelInt2StringTransformer, ::DataFrame; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}) at predictoutput.jl:51
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/postprocessing/predictoutput.jl:51
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = predict(::PredictMD.ImmutablePredictionsSingleLabelInt2StringTransformer, ::DataFrame; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}) at predictoutput.jl:51
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/postprocessing/predictoutput.jl:51
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = transform(::PredictMD.ImmutableDataFrame2GLMSingleLabelBinaryClassTransformer, ::DataFrame, ::DataFrame; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}) at dataframetoglm.jl:14
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/preprocessing/dataframetoglm.jl:14
┌ Warning: `setindex!(df::DataFrame, v::AbstractVector, col_ind::ColumnIndex)` is deprecated, use `begin
│ df[!, col_ind] = v
│ df
│ end` instead.
│ caller = transform(::PredictMD.ImmutableDataFrame2GLMSingleLabelBinaryClassTransformer, ::DataFrame, ::DataFrame; kwargs::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}) at dataframetoglm.jl:16
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/preprocessing/dataframetoglm.jl:16
[ Info: Starting to train GLM model.
[ Info: Finished training GLM model.
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = plotsinglelabelbinaryclassifierhistogram(::PredictMD.SimplePipeline{String,Array{Union{PredictMD.GLMModel, PredictMD.ImmutableDataFrame2GLMSingleLabelBinaryClassTransformer, PredictMD.ImmutablePackageSingleLabelPredictProbaTransformer, PredictMD.ImmutablePredictProbaSingleLabelInt2StringTransformer, PredictMD.ImmutablePredictionsSingleLabelInt2StringTransformer},1}}, ::DataFrame, ::DataFrame, ::Symbol, ::Array{String,1}; num_bins::Int64, closed::Symbol, legend_pos::String, negative_style::String, positive_style::String) at plotsinglelabelbinaryclassifierhistograms.jl:67
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/plotting/plotsinglelabelbinaryclassifierhistograms.jl:67
┌ Warning: `getindex(df::DataFrame, col_ind::ColumnIndex)` is deprecated, use `df[!, col_ind]` instead.
│ caller = singlelabelbinaryclassificationmetrics_resultdict(::PredictMD.SimplePipeline{String,Array{Union{PredictMD.GLMModel, PredictMD.ImmutableDataFrame2GLMSingleLabelBinaryClassTransformer, PredictMD.ImmutablePackageSingleLabelPredictProbaTransformer, PredictMD.ImmutablePredictProbaSingleLabelInt2StringTransformer, PredictMD.ImmutablePredictionsSingleLabelInt2StringTransformer},1}}, ::DataFrame, ::DataFrame, ::Symbol, ::String; kwargs::Base.Iterators.Pairs{Symbol,Float64,Tuple{Symbol},NamedTuple{(:sensitivity,),Tuple{Float64}}}) at singlelabelbinaryclassificationmetrics.jl:140
└ @ PredictMD ~/.julia/packages/PredictMD/A0Ms6/src/toplevel/always-loaded/metrics/singlelabelbinaryclassificationmetrics.jl:140