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[BUG] Failure to Import TimeGAN #263

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HsiangHung opened this issue May 1, 2023 · 7 comments
Open

[BUG] Failure to Import TimeGAN #263

HsiangHung opened this issue May 1, 2023 · 7 comments
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question Further information is requested

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@HsiangHung
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HsiangHung commented May 1, 2023

I met an issue to import TimeGan and cannot get answer from Google. When I imported the following

from ydata_synthetic.synthesizers.timeseries import TimeGAN

or

from ydata_synthetic.synthesizers import ModelParameters

It shows the following error messages
image

Can Anyone recognize this error? Or can anyone show working dependence environment?
I am using Python 3.9 in macOS Ventura.

@HsiangHung HsiangHung added the bug Something isn't working label May 1, 2023
@HsiangHung
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I created a virtual environment with Python 3.8 and it worked.

@fabclmnt
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Hi @HsiangHung,

can you please share more details regarding your python3.9 environment? packages installed, etc?

@HsiangHung
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Hi @fabclmnt

absl-py==1.4.0
aiofiles==0.8.0
aiohttp==3.8.3
aiohttp-cors==0.7.0
aiokafka==0.7.2
aiosignal==1.2.0
alabaster @ file:///home/ktietz/src/ci/alabaster_1611921544520/work
Amazon-DenseClus==0.0.8
anaconda-client @ file:///opt/concourse/worker/volumes/live/866d4dd0-ff5b-4d0b-718d-0267a3b10e06/volume/anaconda-client_1635342573767/work
anaconda-navigator==2.1.1
anaconda-project @ file:///tmp/build/80754af9/anaconda-project_1626085644852/work
anyio==3.5.0
appdirs==1.4.4
applaunchservices @ file:///Users/ktietz/demo/mc3/conda-bld/applaunchservices_1630511705208/work
appnope==0.1.3
appscript @ file:///opt/concourse/worker/volumes/live/00049ed6-6263-4a6e-72b9-9d990f6e2f07/volume/appscript_1611427000595/work
argh==0.26.2
argon2-cffi @ file:///opt/concourse/worker/volumes/live/38e8fb2b-1295-4bdf-4adf-b20acbe4d91b/volume/argon2-cffi_1607022498041/work
arrow @ file:///opt/concourse/worker/volumes/live/1c202787-83f7-4b70-6d98-b40769f597f4/volume/arrow_1617737667847/work
asgi-correlation-id==1.1.0
asgiref==3.5.0
asn1crypto @ file:///tmp/build/80754af9/asn1crypto_1596577642040/work
astroid @ file:///opt/concourse/worker/volumes/live/5aff3c6b-d8ac-4e74-4846-0f446794397d/volume/astroid_1628063157520/work
astropy @ file:///opt/concourse/worker/volumes/live/dac790a5-ee97-4520-5b55-f2cc50d275e6/volume/astropy_1629829220593/work
asttokens==2.2.1
astunparse==1.6.3
async-exit-stack==1.0.1
async-generator @ file:///home/ktietz/src/ci/async_generator_1611927993394/work
async-timeout==4.0.2
atomicwrites==1.4.0
attrs==21.4.0
autopep8 @ file:///tmp/build/80754af9/autopep8_1620866417880/work
ax-platform==0.2.4
Babel @ file:///tmp/build/80754af9/babel_1620871417480/work
backcall==0.2.0
backoff==1.10.0
backports.functools-lru-cache @ file:///tmp/build/80754af9/backports.functools_lru_cache_1618170165463/work
backports.shutil-get-terminal-size @ file:///tmp/build/80754af9/backports.shutil_get_terminal_size_1608222128777/work
backports.tempfile @ file:///home/linux1/recipes/ci/backports.tempfile_1610991236607/work
backports.weakref==1.0.post1
beautifulsoup4 @ file:///tmp/build/80754af9/beautifulsoup4_1631874778482/work
betterproto==2.0.0b4
binaryornot @ file:///tmp/build/80754af9/binaryornot_1617751525010/work
bitarray @ file:///opt/concourse/worker/volumes/live/8f2b2fa2-f7cd-4343-4d8f-3cc38b632e33/volume/bitarray_1629132852828/work
bkcharts==0.2
black==19.10b0
bleach @ file:///tmp/build/80754af9/bleach_1628110601003/work
bokeh @ file:///opt/concourse/worker/volumes/live/278130e0-6bd5-4375-72c8-87158eba9408/volume/bokeh_1635324480391/work
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botocore==1.29.118
botorch==0.6.2
Bottleneck @ file:///opt/concourse/worker/volumes/live/ac8c8ef3-2ed0-42e9-6ec0-5bb05ad938f6/volume/bottleneck_1607575111469/work
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brotlipy==0.7.0
cached-property @ file:///tmp/build/80754af9/cached-property_1600785575025/work
cachetools==5.2.0
certifi==2021.10.8
cffi @ file:///opt/concourse/worker/volumes/live/976f8942-f51d-4f0e-7352-2a10f0820d0e/volume/cffi_1625814703974/work
chardet @ file:///opt/concourse/worker/volumes/live/7e1102c4-8702-40f2-63d6-f260ce5f85e4/volume/chardet_1607706831384/work
charset-normalizer @ file:///tmp/build/80754af9/charset-normalizer_1630003229654/work
cheroot==8.6.0
CherryPy==18.8.0
ciso8601 @ file:///Users/runner/miniforge3/conda-bld/ciso8601_1671677236944/work
click==8.0.3
cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1632508026186/work
clyent==1.2.2
cmdstanpy==0.9.5
colorama @ file:///tmp/build/80754af9/colorama_1607707115595/work
colorlog==6.6.0
conda==4.14.0
conda-build==3.21.5
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conda-pack @ file:///tmp/build/80754af9/conda-pack_1611163042455/work
conda-package-handling @ file:///private/var/folders/sy/f16zz6x50xz3113nwtb9bvq00000gp/T/abs_9an_ntrizz/croot/conda-package-handling_1666940386489/work
conda-repo-cli @ file:///tmp/build/80754af9/conda-repo-cli_1620168426516/work
conda-token @ file:///tmp/build/80754af9/conda-token_1620076980546/work
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ConfigArgParse==1.5.3
contextlib2 @ file:///Users/ktietz/demo/mc3/conda-bld/contextlib2_1630668244042/work
contourpy==1.0.7
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cookiecutter @ file:///tmp/build/80754af9/cookiecutter_1617748928239/work
coverage==6.3.2
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cryptography @ file:///opt/concourse/worker/volumes/live/3143e751-d0f4-457e-7dc5-b7eaa48a56a8/volume/cryptography_1633520383659/work
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cycler==0.11.0
Cython @ file:///opt/concourse/worker/volumes/live/090b3344-25bd-4e30-5dde-5f77abae4b7a/volume/cython_1636035875931/work
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dash==2.6.2
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dash-html-components==2.0.0
dash-table==5.0.0
dask==2021.10.0
debugpy @ file:///opt/concourse/worker/volumes/live/1a15daf1-2a67-4a51-6aa1-c3bca01f7577/volume/debugpy_1629222706040/work
decorator==5.1.1
defusedxml @ file:///tmp/build/80754af9/defusedxml_1615228127516/work
Deprecated==1.2.13
deprecation==2.1.0
diff-match-patch @ file:///Users/ktietz/demo/mc3/conda-bld/diff-match-patch_1630511840874/work
distlib==0.3.6
distributed @ file:///opt/concourse/worker/volumes/live/34c9adba-e95e-473d-7a32-ecdf958a8844/volume/distributed_1635968220957/work
dm-tree==0.1.8
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docutils==0.15.2
easydict==1.10
entrypoints==0.3
ephem==4.1.3
et-xmlfile==1.1.0
executing==1.2.0
fastapi==0.65.2
fastavro==1.5.1
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fastdtw==0.3.4
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filelock==3.8.0
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Flask-BasicAuth==0.2.0
Flask-Compress==1.13
Flask-Cors==3.0.10
flatbuffers==23.3.3
fonttools==4.38.0
frozenlist==1.3.0
fsspec @ file:///tmp/build/80754af9/fsspec_1632413898837/work
future @ file:///opt/concourse/worker/volumes/live/f456638c-86a7-4060-7f5f-d499a051219b/volume/future_1607571337593/work
gast==0.4.0
gensim @ file:///opt/concourse/worker/volumes/live/6c5c74e8-f164-455d-4d36-f7c87c7fee39/volume/gensim_1613994438034/work
gevent @ file:///opt/concourse/worker/volumes/live/014e1366-b455-480b-61a8-9a69e4909791/volume/gevent_1628273687151/work
geventhttpclient==2.0.8
glob2 @ file:///home/linux1/recipes/ci/glob2_1610991677669/work
gmpy2==2.0.8
google-auth==2.17.3
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
googleapis-common-protos==1.56.0
gpytorch==1.6.0
graphdatascience==1.6
graphviz==0.20.1
greenlet @ file:///opt/concourse/worker/volumes/live/b27b4e9e-4697-4d57-403b-f82d36a391ca/volume/greenlet_1628888146890/work
grpcio==1.44.0
grpclib==0.4.2
h11==0.12.0
h2==4.1.0
h5py @ file:///opt/concourse/worker/volumes/live/e7503571-c7b1-45ac-4bb7-37b5178cb0df/volume/h5py_1622088436205/work
hdbscan==0.8.27
HeapDict @ file:///Users/ktietz/demo/mc3/conda-bld/heapdict_1630598515714/work
hijri-converter==2.2.3
holidays==0.13
hpack==4.0.0
html5lib @ file:///Users/ktietz/demo/mc3/conda-bld/html5lib_1629144453894/work
httpcore==0.15.0
httptools==0.2.0
httpx==0.23.0
hyperframe==6.0.1
idna @ file:///tmp/build/80754af9/idna_1622654382723/work
imagecodecs @ file:///opt/concourse/worker/volumes/live/ab9fe69e-f7d4-471a-6199-cb95a745fb88/volume/imagecodecs_1635529117386/work
imageio @ file:///tmp/build/80754af9/imageio_1617700267927/work
imagesize @ file:///Users/ktietz/demo/mc3/conda-bld/imagesize_1628863108022/work
importlib-metadata @ file:///opt/concourse/worker/volumes/live/b1c84e32-1519-4554-50d3-980dc7c220d9/volume/importlib-metadata_1631916711680/work
importlib-resources==5.4.0
inflection==0.5.1
iniconfig @ file:///home/linux1/recipes/ci/iniconfig_1610983019677/work
interchange==2021.0.4
intervaltree==3.1.0
ipykernel @ file:///opt/concourse/worker/volumes/live/6f6caad4-5c02-4b4a-5243-1eece346c27b/volume/ipykernel_1633545433252/work/dist/ipykernel-6.4.1-py3-none-any.whl
ipython==8.10.0
ipython-genutils @ file:///tmp/build/80754af9/ipython_genutils_1606773439826/work
ipywidgets @ file:///tmp/build/80754af9/ipywidgets_1634143127070/work
isort @ file:///tmp/build/80754af9/isort_1628603791788/work
itsdangerous @ file:///tmp/build/80754af9/itsdangerous_1621432558163/work
jaraco.classes==3.2.2
jaraco.collections==3.5.2
jaraco.context==4.1.2
jaraco.functools==3.5.1
jaraco.text==3.8.1
jdcal @ file:///Users/ktietz/demo/mc3/conda-bld/jdcal_1630584345063/work
jedi==0.18.2
Jinja2==3.1.2
jinja2-time @ file:///tmp/build/80754af9/jinja2-time_1617751524098/work
jmespath==1.0.1
joblib==1.2.0
json5 @ file:///tmp/build/80754af9/json5_1624432770122/work
jsonpickle==3.0.1
jsonschema @ file:///Users/ktietz/demo/mc3/conda-bld/jsonschema_1630511932244/work
jupyter @ file:///opt/concourse/worker/volumes/live/5d55c245-fcac-42f9-4a6c-7e147c07785b/volume/jupyter_1607700866889/work
jupyter-client @ file:///tmp/build/80754af9/jupyter_client_1616770841739/work
jupyter-console @ file:///tmp/build/80754af9/jupyter_console_1616615302928/work
jupyter-contrib-core @ file:///home/conda/feedstock_root/build_artifacts/jupyter_contrib_core_1657548529421/work
jupyter-core @ file:///opt/concourse/worker/volumes/live/ade0d1fb-3680-4893-7a79-579c9d86c1c1/volume/jupyter_core_1633420119353/work
jupyter-nbextensions-configurator @ file:///home/conda/feedstock_root/build_artifacts/jupyter_nbextensions_configurator_1670793770953/work
jupyter-server @ file:///opt/concourse/worker/volumes/live/c0b6c5cd-8b5f-482c-6789-42a64b3d2acc/volume/jupyter_server_1616084049292/work
jupyterlab @ file:///tmp/build/80754af9/jupyterlab_1635799997693/work
jupyterlab-pygments @ file:///tmp/build/80754af9/jupyterlab_pygments_1601490720602/work
jupyterlab-server @ file:///tmp/build/80754af9/jupyterlab_server_1633419203660/work
jupyterlab-widgets @ file:///tmp/build/80754af9/jupyterlab_widgets_1609884341231/work
kafka-python==2.0.2
kaleido==0.2.1
kat==0.1.10
kats==0.2.0
KDEpy==1.1.0
keras==2.11.0
keyring @ file:///opt/concourse/worker/volumes/live/effa77ff-08c0-456d-548e-ecd9681ace1e/volume/keyring_1629321568005/work
kiwisolver==1.4.4
kneed @ file:///home/conda/feedstock_root/build_artifacts/kneed_1597304056973/work
korean-lunar-calendar==0.2.1
lazy-object-proxy @ file:///opt/concourse/worker/volumes/live/a169db40-97bf-4f51-6893-dc751f705b7b/volume/lazy-object-proxy_1616529067444/work
libarchive-c @ file:///tmp/build/80754af9/python-libarchive-c_1617780486945/work
libclang==16.0.0
llvmlite==0.38.0
locket==0.2.1
locust==2.14.2
log-analytics-db-api==1.0.1.post323
LunarCalendar==0.0.9
lxml==4.9.2
lz4==4.0.1
Markdown==3.4.3
markov-clustering==0.0.6.dev0
MarkupSafe==2.1.2
matplotlib==3.6.3
matplotlib-inline==0.1.6
mccabe==0.6.1
mistune @ file:///opt/concourse/worker/volumes/live/4217afd5-dad1-438d-6f79-e4992ccda0e5/volume/mistune_1607364880245/work
mkl-fft==1.3.1
mkl-random @ file:///opt/concourse/worker/volumes/live/0cda23d8-7460-44b2-7e5d-3c76a8a0ca7e/volume/mkl_random_1626186083266/work
mkl-service==2.4.0
mock @ file:///tmp/build/80754af9/mock_1607622725907/work
mode-streaming==0.1.0
monotonic==1.6
more-itertools @ file:///tmp/build/80754af9/more-itertools_1635423142362/work
mpmath==1.2.1
msgpack @ file:///opt/concourse/worker/volumes/live/ccdd6ca0-523a-4fde-5a76-cdd4f47c445e/volume/msgpack-python_1612287158191/work
multidict==6.0.2
multimethod==1.9.1
multipledispatch @ file:///opt/concourse/worker/volumes/live/ae29ad0f-3a64-4ff5-7393-0aa95f2c9f85/volume/multipledispatch_1607574242710/work
munkres==1.1.4
mypy-extensions==0.4.3
navigator-updater==0.2.1
nbclassic @ file:///tmp/build/80754af9/nbclassic_1616085367084/work
nbclient @ file:///tmp/build/80754af9/nbclient_1614364831625/work
nbconvert==5.4.1
nbformat @ file:///tmp/build/80754af9/nbformat_1617383369282/work
neo4j==5.6.0
nest-asyncio @ file:///tmp/build/80754af9/nest-asyncio_1613680548246/work
networkx==3.0
nltk==3.6.5
nose @ file:///tmp/build/80754af9/nose_1606773131901/work
notebook @ file:///opt/concourse/worker/volumes/live/600e39a3-70b3-4ed1-4986-4cc3d1a9be7c/volume/notebook_1635411664246/work
numba==0.55.1
numexpr @ file:///opt/concourse/worker/volumes/live/8a490d79-0e07-4fed-40fc-a78f896e4811/volume/numexpr_1618856522733/work
numpy==1.23.5
numpydoc @ file:///tmp/build/80754af9/numpydoc_1605117425582/work
oauthlib==3.2.2
olefile @ file:///Users/ktietz/demo/mc3/conda-bld/olefile_1629805411829/work
openpyxl @ file:///tmp/build/80754af9/openpyxl_1632777717936/work
opentelemetry-api==1.11.1
opentelemetry-distro==0.30b1
opentelemetry-exporter-otlp==1.11.1
opentelemetry-exporter-otlp-proto-grpc==1.11.1
opentelemetry-exporter-otlp-proto-http==1.11.1
opentelemetry-exporter-prometheus==0.30b1
opentelemetry-instrumentation==0.30b1
opentelemetry-instrumentation-asgi==0.30b1
opentelemetry-instrumentation-fastapi==0.30b1
opentelemetry-proto==1.11.1
opentelemetry-sdk==1.11.1
opentelemetry-semantic-conventions==0.30b1
opentelemetry-util-http==0.30b1
opentracing==2.4.0
opt-einsum==3.3.0
packaging==23.0
pandas==1.5.3
pandocfilters @ file:///opt/concourse/worker/volumes/live/d8ef4635-066d-4ffe-5341-12ebf01bd094/volume/pandocfilters_1605120459573/work
pansi==2020.7.3
parameterized==0.8.1
parso==0.8.3
partd @ file:///tmp/build/80754af9/partd_1618000087440/work
path @ file:///opt/concourse/worker/volumes/live/ada87e48-bd34-49ac-6489-f51a7259db05/volume/path_1623603892072/work
pathlib2 @ file:///opt/concourse/worker/volumes/live/9cb7a8e6-768d-4b83-4c58-1af1d6394b3e/volume/pathlib2_1625585698767/work
pathspec==0.7.0
patsy==0.5.2
pep8==1.7.1
pexpect==4.8.0
pickleshare==0.7.5
Pillow==9.4.0
pkginfo==1.7.1
platformdirs==2.5.2
plotly==5.8.0
pluggy @ file:///opt/concourse/worker/volumes/live/a2630e20-8422-46fc-7347-f73294368851/volume/pluggy_1615976601840/work
ply==3.11
pm4py==2.4.0
pmlb==1.0.1.post3
portend==3.1.0
poyo @ file:///tmp/build/80754af9/poyo_1617751526755/work
prometheus-client==0.11.0
prompt-toolkit==3.0.36
protobuf==3.19.6
psutil @ file:///opt/concourse/worker/volumes/live/da41f1b1-060b-47fa-4c17-557e069ead1d/volume/psutil_1612298011002/work
psycopg2==2.9.3
psycopg2-binary==2.9.3
ptyprocess==0.7.0
pure-eval==0.2.2
py @ file:///tmp/build/80754af9/py_1607971587848/work
py2neo==2021.2.3
pyarrow==10.0.1
pyasn1==0.4.8
pyasn1-modules==0.3.0
pycodestyle==2.8.0
pycosat==0.6.3
pycparser @ file:///tmp/build/80754af9/pycparser_1594388511720/work
pycurl==7.44.1
pydantic @ file:///private/var/folders/sy/f16zz6x50xz3113nwtb9bvq00000gp/T/croot-qjuy5mp0/pydantic_1643622529706/work
pydocstyle @ file:///tmp/build/80754af9/pydocstyle_1621600989141/work
pydot==1.4.2
pydotplus==2.0.2
pyerfa @ file:///opt/concourse/worker/volumes/live/fef1f482-1dec-42b9-4439-b8031d24ea69/volume/pyerfa_1621560786048/work
pyflakes==2.4.0
Pygments==2.14.0
PyJWT @ file:///private/var/folders/sy/f16zz6x50xz3113nwtb9bvq00000gp/T/abs_eec47dd9-fcc8-4e06-bbca-6138d11dbbcch6zasfc4/croots/recipe/pyjwt_1657544589510/work
pylint @ file:///opt/concourse/worker/volumes/live/110f293a-445f-477b-4041-2e00ae784083/volume/pylint_1627536795404/work
pyls-spyder==0.4.0
pymannkendall==1.4.2
PyMeeus==0.5.11
pymongo==4.3.3
pynndescent==0.5.5
pyod==1.0.4
pyodbc===4.0.0-unsupported
pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1635333100036/work
pyparsing==3.0.9
pyrsistent @ file:///opt/concourse/worker/volumes/live/76cffa60-bd33-4155-4e83-ea03c38b1294/volume/pyrsistent_1636111020441/work
PySocks @ file:///opt/concourse/worker/volumes/live/112288ac-9cb0-4e73-768b-13baf4ca6419/volume/pysocks_1605305820043/work
pystan==2.19.1.1
pytest==6.2.5
pytest-asyncio==0.16.0
pytest-cov==3.0.0
pytest-mock==3.7.0
pytest-mpl==0.15.1
python-dateutil==2.8.2
python-dotenv==0.19.1
python-louvain==0.16
python-lsp-black @ file:///tmp/build/80754af9/python-lsp-black_1634232156041/work
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@HsiangHung HsiangHung reopened this May 14, 2023
@fabclmnt
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fabclmnt commented May 15, 2023

Hi @HsiangHung based on you env details and error, this is not related with TimeGAN.

If you check the issues comes from sklearn and the use of multithread pools. Can you please ensure that your package threadpoolctl is up-to-date and aligned with the scikit-learn version expected for ydata-synthetic?

@fabclmnt fabclmnt added question Further information is requested and removed bug Something isn't working labels May 15, 2023
@HsiangHung
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HsiangHung commented May 24, 2023

@fabclmnt I tried to pip install threadpoolctl as well as scikit-learn but both of them are up-to-date. What scikit-learn version is expected to align with threadpoolctl?

% pip install threadpoolctl 
Requirement already satisfied: threadpoolctl in /Users/hshung/opt/anaconda3/lib/python3.9/site-packages (2.2.0)
% pip install scikit-learn  
Requirement already satisfied: scikit-learn in /Users/hshung/opt/anaconda3/lib/python3.9/site-packages (1.2.2)
Requirement already satisfied: numpy>=1.17.3 in /Users/hshung/opt/anaconda3/lib/python3.9/site-packages (from scikit-learn) (1.23.5)
Requirement already satisfied: scipy>=1.3.2 in /Users/hshung/opt/anaconda3/lib/python3.9/site-packages (from scikit-learn) (1.10.0)
Requirement already satisfied: joblib>=1.1.1 in /Users/hshung/opt/anaconda3/lib/python3.9/site-packages (from scikit-learn) (1.2.0)
Requirement already satisfied: threadpoolctl>=2.0.0 in /Users/hshung/opt/anaconda3/lib/python3.9/site-packages (from scikit-learn) (2.2.0)

@fabclmnt
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I'm not aware of what version would work together but it seems like there is a misalignment between main packages that we are using: numpy, scikit-learn and threadpool.

Based on the list of packages you've shared I'm not able to see what version of threadpoolctl is installed.

@HsiangHung
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@fabclmnt from above message, I think threadpoolctl us 2.2.0 and scikit-learn is 1.2.2 (and I confirmed too.)

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