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I'm having this error whenever I include either LIBSVM or MultivariateStats in my package (AutoMLPipeline) together with PyCall. It seems that the binaries are causing these errors. Without LIBSVM or MultivariateStats, there are no errors.
Got exception outside of a @test
PyError ($(Expr(:escape, :(ccall(#= /Users/ppalmes/.julia/packages/PyCall/BcTLp/src/pyfncall.jl:43 =# @pysym(:PyObject_Call), PyPtr, (PyPtr, PyPtr, PyPtr), o, pyargsptr, kw))))) <class 'numpy.linalg.LinAlgError'>
LinAlgError('SVD did not converge')
File "/Users/ppalmes/.julia/conda/3/lib/python3.7/site-packages/sklearn/decomposition/_dict_learning.py", line 1247, in fit
positive_code=self.positive_code)
File "/Users/ppalmes/.julia/conda/3/lib/python3.7/site-packages/sklearn/utils/validation.py", line 73, in inner_f
return f(**kwargs)
File "/Users/ppalmes/.julia/conda/3/lib/python3.7/site-packages/sklearn/decomposition/_dict_learning.py", line 551, in dict_learning
code, S, dictionary = linalg.svd(X, full_matrices=False)
File "/Users/ppalmes/.julia/conda/3/lib/python3.7/site-packages/scipy/linalg/decomp_svd.py", line 132, in svd
raise LinAlgError("SVD did not converge")
Stacktrace:
[1] pyerr_check at /Users/ppalmes/.julia/packages/PyCall/BcTLp/src/exception.jl:62 [inlined]
[2] pyerr_check at /Users/ppalmes/.julia/packages/PyCall/BcTLp/src/exception.jl:66 [inlined]
[3] _handle_error(::String) at /Users/ppalmes/.julia/packages/PyCall/BcTLp/src/exception.jl:83
[4] macro expansion at /Users/ppalmes/.julia/packages/PyCall/BcTLp/src/exception.jl:97 [inlined]
[5] #110 at /Users/ppalmes/.julia/packages/PyCall/BcTLp/src/pyfncall.jl:43 [inlined]
[6] disable_sigint at ./c.jl:446 [inlined]
[7] __pycall! at /Users/ppalmes/.julia/packages/PyCall/BcTLp/src/pyfncall.jl:42 [inlined]
[8] _pycall!(::PyCall.PyObject, ::PyCall.PyObject, ::Tuple{Array{Float64,2}}, ::Int64, ::Ptr{Nothing}) at /Users/ppalmes/.julia/packages/PyCall/BcTLp/src/pyfncall.jl:29
[9] _pycall! at /Users/ppalmes/.julia/packages/PyCall/BcTLp/src/pyfncall.jl:11 [inlined]
[10] #_#117 at /Users/ppalmes/.julia/packages/PyCall/BcTLp/src/pyfncall.jl:86 [inlined]
[11] (::PyCall.PyObject)(::Array{Float64,2}) at /Users/ppalmes/.julia/packages/PyCall/BcTLp/src/pyfncall.jl:86
[12] fit!(::AutoMLPipeline.SKPreprocessors.SKPreprocessor, ::DataFrames.DataFrame, ::Array{String,1}) at /Users/ppalmes/julia/AutoMLPipeline.jl/src/skpreprocessor.jl:163
[13] fit_test(::String, ::DataFrames.DataFrame, ::Array{String,1}) at /Users/ppalmes/julia/AutoMLPipeline.jl/test/test_skpreprocessing.jl:39
[14] macro expansion at /Users/ppalmes/julia/AutoMLPipeline.jl/test/test_skpreprocessing.jl:55 [inlined]
[15] macro expansion at /Users/julia/buildbot/worker/package_macos64/build/usr/share/julia/stdlib/v1.5/Test/src/Test.jl:1115 [inlined]
[16] top-level scope at /Users/ppalmes/julia/AutoMLPipeline.jl/test/test_skpreprocessing.jl:52
[17] include(::Function, ::Module, ::String) at ./Base.jl:380
[18] include at ./Base.jl:368 [inlined]
[19] include(::String) at /Users/ppalmes/julia/AutoMLPipeline.jl/test/runtests.jl:1
[20] top-level scope at /Users/ppalmes/julia/AutoMLPipeline.jl/test/runtests.jl:11
[21] include(::String) at ./client.jl:457
[22] top-level scope at none:6
[23] eval(::Module, ::Any) at ./boot.jl:331
[24] exec_options(::Base.JLOptions) at ./client.jl:272
[25] _start() at ./client.jl:506
The text was updated successfully, but these errors were encountered:
I'm having this error whenever I include either LIBSVM or MultivariateStats in my package (AutoMLPipeline) together with PyCall. It seems that the binaries are causing these errors. Without LIBSVM or MultivariateStats, there are no errors.
The text was updated successfully, but these errors were encountered: