1.6.0-DEV-9392bbe347.log

Julia Version 1.6.0-DEV.1122
Commit 9392bbe347 (2020-10-03 14:15 UTC)
Platform Info:
  OS: Linux (x86_64-pc-linux-gnu)
  CPU: AMD EPYC 7502 32-Core Processor
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-10.0.1 (ORCJIT, znver2)
Environment:
  JULIA_DEPOT_PATH = ::/usr/local/share/julia
  JULIA_NUM_THREADS = 2

  Resolving package versions...
  Installed InterpretMe ─ v0.1.0
Updating `~/.julia/environments/v1.6/Project.toml`
  [e2b23942] + InterpretMe v0.1.0
Updating `~/.julia/environments/v1.6/Manifest.toml`
  [e2b23942] + InterpretMe v0.1.0
  [8f399da3] + Libdl
  [37e2e46d] + LinearAlgebra
  [9a3f8284] + Random
  [9e88b42a] + Serialization
  [2f01184e] + SparseArrays
  [10745b16] + Statistics
    Testing InterpretMe
Status `/tmp/jl_McLh6b/Project.toml`
  [e2b23942] InterpretMe v0.1.0
  [ce6b1742] RDatasets v0.6.10
  [3646fa90] ScikitLearn v0.6.2
  [37e2e46d] LinearAlgebra
  [10745b16] Statistics
  [8dfed614] Test
Status `/tmp/jl_McLh6b/Manifest.toml`
  [336ed68f] CSV v0.7.7
  [324d7699] CategoricalArrays v0.8.3
  [944b1d66] CodecZlib v0.7.0
  [34da2185] Compat v3.18.0
  [8f4d0f93] Conda v1.4.1
  [9a962f9c] DataAPI v1.3.0
  [a93c6f00] DataFrames v0.21.7
  [864edb3b] DataStructures v0.18.6
  [e2d170a0] DataValueInterfaces v1.0.0
  [e2ba6199] ExprTools v0.1.2
  [8f5d6c58] EzXML v1.1.0
  [5789e2e9] FileIO v1.4.3
  [e2b23942] InterpretMe v0.1.0
  [41ab1584] InvertedIndices v1.0.0
  [c8e1da08] IterTools v1.3.0
  [82899510] IteratorInterfaceExtensions v1.0.0
  [682c06a0] JSON v0.21.1
  [94ce4f54] Libiconv_jll v1.16.0+6
  [1914dd2f] MacroTools v0.5.5
  [e1d29d7a] Missings v0.4.4
  [78c3b35d] Mocking v0.7.1
  [bac558e1] OrderedCollections v1.3.1
  [d96e819e] Parameters v0.12.1
  [69de0a69] Parsers v1.0.10
  [2dfb63ee] PooledArrays v0.5.3
  [438e738f] PyCall v1.92.1
  [df47a6cb] RData v0.7.2
  [ce6b1742] RDatasets v0.6.10
  [3cdcf5f2] RecipesBase v1.1.0
  [189a3867] Reexport v0.2.0
  [ae029012] Requires v1.1.0
  [3646fa90] ScikitLearn v0.6.2
  [6e75b9c4] ScikitLearnBase v0.5.0
  [91c51154] SentinelArrays v1.2.16
  [a2af1166] SortingAlgorithms v0.3.1
  [2913bbd2] StatsBase v0.33.1
  [856f2bd8] StructTypes v1.1.0
  [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
  [81def892] VersionParsing v1.2.0
  [02c8fc9c] XML2_jll v2.9.10+2
  [83775a58] Zlib_jll v1.2.11+16
  [56f22d72] Artifacts
  [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
  [fa267f1f] TOML
  [8dfed614] Test
  [cf7118a7] UUIDs
  [4ec0a83e] Unicode
    Testing Running tests...
[ Info: Installing sklearn via the Conda scikit-learn package...
[ Info: Running `conda install -q -y scikit-learn` in root environment
Collecting package metadata (current_repodata.json): ...working... done
Solving environment: ...working... done

## Package Plan ##

  environment location: /home/pkgeval/.julia/conda/3

  added / updated specs:
    - scikit-learn


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    joblib-0.16.0              |             py_0         210 KB
    libgfortran-ng-7.3.0       |       hdf63c60_0        1006 KB
    scikit-learn-0.23.2        |   py38h0573a6f_0         5.2 MB
    scipy-1.5.2                |   py38h0b6359f_0        14.5 MB
    threadpoolctl-2.1.0        |     pyh5ca1d4c_0          17 KB
    ------------------------------------------------------------
                                           Total:        20.8 MB

The following NEW packages will be INSTALLED:

  joblib             pkgs/main/noarch::joblib-0.16.0-py_0
  libgfortran-ng     pkgs/main/linux-64::libgfortran-ng-7.3.0-hdf63c60_0
  scikit-learn       pkgs/main/linux-64::scikit-learn-0.23.2-py38h0573a6f_0
  scipy              pkgs/main/linux-64::scipy-1.5.2-py38h0b6359f_0
  threadpoolctl      pkgs/main/noarch::threadpoolctl-2.1.0-pyh5ca1d4c_0


Preparing transaction: ...working... done
Verifying transaction: ...working... done
Executing transaction: ...working... done
Test Summary:  | Pass  Total
InterpretMe.jl |    1      1
/home/pkgeval/.julia/conda/3/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:762: ConvergenceWarning: lbfgs failed to converge (status=1):
STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.

Increase the number of iterations (max_iter) or scale the data as shown in:
    https://scikit-learn.org/stable/modules/preprocessing.html
Please also refer to the documentation for alternative solver options:
    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
  n_iter_i = _check_optimize_result(
    Testing InterpretMe tests passed