Comments (7)
can you run the doctor command (or, alternatively, just run pip freeze
) and report the results here? I think your version of pydantic is incompatible.
from mlflow.
can you run the doctor command (or, alternatively, just run
pip freeze
) and report the results here? I think your version of pydantic is incompatible.
I have latest pydantic version installed, but perhaps a downgrade is needed?
aiofiles==23.2.1
alembic==1.13.1
altair==5.2.0
aniso8601==9.0.1
annotated-types==0.6.0
anyio==3.7.1
asttokens @ file:///home/conda/feedstock_root/build_artifacts/asttokens_1698341106958/work
attrs==23.1.0
backports.functools-lru-cache @ file:///home/conda/feedstock_root/build_artifacts/backports.functools_lru_cache_1687772187254/work
blinker==1.7.0
certifi==2023.11.17
charset-normalizer==3.3.2
click==8.1.7
cloudpickle==3.0.0
colorama @ file:///home/conda/feedstock_root/build_artifacts/colorama_1666700638685/work
comm @ file:///home/conda/feedstock_root/build_artifacts/comm_1691044910542/work
contourpy==1.2.0
cycler==0.12.1
databricks-cli==0.18.0
debugpy @ file:///D:/bld/debugpy_1695534453785/work
decorator @ file:///home/conda/feedstock_root/build_artifacts/decorator_1641555617451/work
docker==7.0.0
entrypoints==0.4
exceptiongroup @ file:///home/conda/feedstock_root/build_artifacts/exceptiongroup_1692026125334/work
executing @ file:///home/conda/feedstock_root/build_artifacts/executing_1698579936712/work
fastapi==0.105.0
fastjsonschema==2.19.0
ffmpy==0.3.1
filelock==3.13.1
Flask==3.0.2
fonttools==4.45.0
fsspec==2023.12.2
gitdb==4.0.11
GitPython==3.1.41
gradio_client==0.7.3
graphene==3.3
graphql-core==3.2.3
graphql-relay==3.2.0
greenlet==3.0.3
h11==0.14.0
httpcore==1.0.2
httpx==0.25.2
huggingface-hub==0.19.4
idna==3.6
importlib-metadata==4.13.0
importlib-resources==6.1.1
ipykernel @ file:///D:/bld/ipykernel_1698244157926/work
ipython @ file:///D:/bld/ipython_1698846796959/work
itsdangerous==2.1.2
jedi @ file:///home/conda/feedstock_root/build_artifacts/jedi_1696326070614/work
Jinja2==3.1.2
joblib==1.3.2
jsonschema==4.20.0
jsonschema-specifications==2023.11.1
jupyter_client @ file:///home/conda/feedstock_root/build_artifacts/jupyter_client_1699283905679/work
jupyter_core @ file:///D:/bld/jupyter_core_1698673832306/work
kiwisolver==1.4.5
Mako==1.3.2
Markdown==3.5.2
markdown-it-py==3.0.0
MarkupSafe==2.1.3
matplotlib==3.8.2
matplotlib-inline @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-inline_1660814786464/work
mdurl==0.1.2
mlflow==2.10.0
nbformat==5.9.2
nest-asyncio @ file:///home/conda/feedstock_root/build_artifacts/nest-asyncio_1697083700168/work
numpy==1.26.2
oauthlib==3.2.2
orjson==3.9.10
packaging @ file:///home/conda/feedstock_root/build_artifacts/packaging_1696202382185/work
pandas==2.1.3
parso @ file:///home/conda/feedstock_root/build_artifacts/parso_1638334955874/work
pickleshare @ file:///home/conda/feedstock_root/build_artifacts/pickleshare_1602536217715/work
Pillow==10.1.0
platformdirs @ file:///home/conda/feedstock_root/build_artifacts/platformdirs_1699715570510/work
plotly==5.18.0
prompt-toolkit @ file:///home/conda/feedstock_root/build_artifacts/prompt-toolkit_1699963054032/work
protobuf==4.25.2
psutil @ file:///D:/bld/psutil_1695367295750/work
pure-eval @ file:///home/conda/feedstock_root/build_artifacts/pure_eval_1642875951954/work
pyarrow==14.0.0
pydantic==2.6.1
pydantic_core==2.16.2
pydub==0.25.1
Pygments @ file:///home/conda/feedstock_root/build_artifacts/pygments_1700395971011/work
PyJWT==2.8.0
pyparsing==3.1.1
python-dateutil @ file:///home/conda/feedstock_root/build_artifacts/python-dateutil_1626286286081/work
python-multipart==0.0.6
pytz==2023.3.post1
pywin32==306
PyYAML==6.0.1
pyzmq @ file:///D:/bld/pyzmq_1698062575483/work
querystring-parser==1.2.4
referencing==0.31.0
requests==2.31.0
rich==13.7.0
rpds-py==0.13.1
scikit-learn==1.3.2
scipy==1.11.4
semantic-version==2.10.0
setuptools==68.0.0
shellingham==1.5.4
six @ file:///home/conda/feedstock_root/build_artifacts/six_1620240208055/work
smmap==5.0.1
sniffio==1.3.0
SQLAlchemy==2.0.25
sqlparse==0.4.4
stack-data @ file:///home/conda/feedstock_root/build_artifacts/stack_data_1669632077133/work
starlette==0.27.0
tabulate==0.9.0
tenacity==8.2.3
threadpoolctl==3.2.0
tomlkit==0.12.0
toolz==0.12.0
tornado @ file:///D:/bld/tornado_1695373547508/work
tqdm==4.66.1
traitlets @ file:///home/conda/feedstock_root/build_artifacts/traitlets_1698671135544/work
typer==0.9.0
typing_extensions @ file:///home/conda/feedstock_root/build_artifacts/typing_extensions_1695040754690/work
tzdata==2023.3
urllib3==2.1.0
uvicorn==0.24.0.post1
waitress==2.1.2
wcwidth @ file:///home/conda/feedstock_root/build_artifacts/wcwidth_1699959196938/work
websockets==11.0.3
Werkzeug==3.0.1
wheel==0.41.2
zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1695255097490/work
from mlflow.
Unfortunately still no solution found yet
from mlflow.
@mlflow/mlflow-team Please assign a maintainer and start triaging this issue.
from mlflow.
Guys, I did it!
Leave this up to me! πͺπ€
The fix works on my machine, I will be making a PR today.
The error is in cli.py
, just substitute get("mlflow.app", [])
by .select(group="mlflow.app")
The interface changed and an update was needed.
if this still doesnβt work, just assign type=None
from mlflow.
@Gabomfim tysm!
from mlflow.
Actually, as referenced in #11109 by @harupy:
Sorry for the confusion. #10752 fixed this issue. This patch will be release in the next version.
Iβve checked the code and the fix was already there when cloning the repository.
you can use my fix for now as it is simpler.
from mlflow.
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from mlflow.