Hello, Im trying to serve a Pyfunc Model on a databricks endpoint but for some reason is getting stuck on a pending status. It's been 4 hours since the endpoint deployment started.
If I check the build logs, no error appears whatsoever
#23 0.133 channels:
#23 0.133 - conda-forge
#23 0.133 dependencies:
#23 0.133 - python=3.12.3
#23 0.133 - pip<=24.0
#23 0.133 - pip:
#23 0.133 - mlflow==2.21.3
#23 0.133 - pandas
#23 0.133 - numpy
#23 0.133 name: mlflow-env
#23 0.429 Collecting package metadata (repodata.json): ...working... done
#23 92.36 Solving environment: ...working... done
#23 97.26
#23 97.26
#23 97.26 ==> WARNING: A newer version of conda exists. <==
#23 97.26 current version: 4.10.3
#23 97.26 latest version: 25.3.1
#23 97.26
#23 97.26 Please update conda by running
#23 97.26
#23 97.26 $ conda update -n base -c defaults conda
#23 97.26
#23 97.26
#23 97.27
#23 97.27 Downloading and Extracting Packages
#23 97.27
python-3.12.3 | 30.5 MB | | 0%
python-3.12.3 | 30.5 MB | ##1 | 21%
python-3.12.3 | 30.5 MB | #####7 | 58%
python-3.12.3 | 30.5 MB | ########6 | 87%
python-3.12.3 | 30.5 MB | ########## | 100%
#23 98.23
libexpat-2.7.0 | 73 KB | | 0%
libexpat-2.7.0 | 73 KB | ########## | 100%
#23 98.28
libnsl-2.0.1 | 33 KB | | 0%
libnsl-2.0.1 | 33 KB | ########## | 100%
#23 98.32
_libgcc_mutex-0.1 | 3 KB | | 0%
_libgcc_mutex-0.1 | 3 KB | ########## | 100%
#23 98.35
xz-5.8.1 | 23 KB | | 0%
xz-5.8.1 | 23 KB | ########## | 100%
#23 98.39
pip-24.0 | 1.3 MB | | 0%
pip-24.0 | 1.3 MB | ########## | 100%
pip-24.0 | 1.3 MB | ########## | 100%
#23 98.51
ld_impl_linux-64-2.4 | 656 KB | | 0%
ld_impl_linux-64-2.4 | 656 KB | ########## | 100%
#23 98.56
liblzma-5.8.1 | 110 KB | | 0%
liblzma-5.8.1 | 110 KB | ########## | 100%
#23 98.61
_openmp_mutex-4.5 | 23 KB | | 0%
_openmp_mutex-4.5 | 23 KB | ########## | 100%
#23 98.65
libuuid-2.38.1 | 33 KB | | 0%
libuuid-2.38.1 | 33 KB | ########## | 100%
#23 98.70
libsqlite-3.49.2 | 895 KB | | 0%
libsqlite-3.49.2 | 895 KB | ########## | 100%
#23 98.75
libgcc-ng-15.1.0 | 34 KB | | 0%
libgcc-ng-15.1.0 | 34 KB | ########## | 100%
#23 98.80
libzlib-1.3.1 | 60 KB | | 0%
libzlib-1.3.1 | 60 KB | ########## | 100%
#23 98.84
libffi-3.4.6 | 56 KB | | 0%
libffi-3.4.6 | 56 KB | ########## | 100%
#23 98.88
xz-gpl-tools-5.8.1 | 33 KB | | 0%
xz-gpl-tools-5.8.1 | 33 KB | ########## | 100%
#23 98.92
wheel-0.45.1 | 61 KB | | 0%
wheel-0.45.1 | 61 KB | ########## | 100%
wheel-0.45.1 | 61 KB | ########## | 100%
#23 99.03
tk-8.6.13 | 3.2 MB | | 0%
tk-8.6.13 | 3.2 MB | ########## | 100%
tk-8.6.13 | 3.2 MB | ########## | 100%
#23 99.17
tzdata-2025b | 120 KB | | 0%
tzdata-2025b | 120 KB | ########## | 100%
#23 99.27
openssl-3.5.0 | 3.0 MB | | 0%
openssl-3.5.0 | 3.0 MB | ########## | 100%
openssl-3.5.0 | 3.0 MB | ########## | 100%
#23 99.37
bzip2-1.0.8 | 247 KB | | 0%
bzip2-1.0.8 | 247 KB | ########## | 100%
#23 99.41
libgcc-15.1.0 | 810 KB | | 0%
libgcc-15.1.0 | 810 KB | ########## | 100%
#23 99.47
readline-8.2 | 276 KB | | 0%
readline-8.2 | 276 KB | ########## | 100%
#23 99.51
xz-tools-5.8.1 | 94 KB | | 0%
xz-tools-5.8.1 | 94 KB | ########## | 100%
#23 99.56
ca-certificates-2025 | 149 KB | | 0%
ca-certificates-2025 | 149 KB | ########## | 100%
#23 99.59
ncurses-6.5 | 871 KB | | 0%
ncurses-6.5 | 871 KB | ########## | 100%
ncurses-6.5 | 871 KB | ########## | 100%
#23 99.88
liblzma-devel-5.8.1 | 431 KB | | 0%
liblzma-devel-5.8.1 | 431 KB | ########## | 100%
#23 99.94
libxcrypt-4.4.36 | 98 KB | | 0%
libxcrypt-4.4.36 | 98 KB | ########## | 100%
#23 100.00
libgomp-15.1.0 | 442 KB | | 0%
libgomp-15.1.0 | 442 KB | ########## | 100%
#23 100.0
setuptools-80.8.0 | 731 KB | | 0%
setuptools-80.8.0 | 731 KB | ########## | 100%
#23 100.1 Preparing transaction: ...working... done
#23 100.3 Verifying transaction: ...working... done
#23 101.2 Executing transaction: ...working... done
#23 103.5 Installing pip dependencies: ...working... Ran pip subprocess with arguments:
#23 142.5 ['/opt/conda/envs/mlflow-env/bin/python', '-m', 'pip', 'install', '-U', '-r', '/model/condaenv.actfhfyv.requirements.txt']
#23 142.5 Pip subprocess output:
#23 142.5 Collecting mlflow==2.21.3 (from -r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading mlflow-2.21.3-py3-none-any.whl.metadata (30 kB)
#23 142.5 Collecting pandas (from -r /model/condaenv.actfhfyv.requirements.txt (line 2))
#23 142.5 Downloading pandas-2.2.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (89 kB)
#23 142.5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 89.9/89.9 kB 7.2 MB/s eta 0:00:00
#23 142.5 Collecting numpy (from -r /model/condaenv.actfhfyv.requirements.txt (line 3))
#23 142.5 Downloading numpy-2.2.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (62 kB)
#23 142.5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.0/62.0 kB 5.6 MB/s eta 0:00:00
#23 142.5 Collecting mlflow-skinny==2.21.3 (from mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading mlflow_skinny-2.21.3-py3-none-any.whl.metadata (31 kB)
#23 142.5 Collecting Flask<4 (from mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading flask-3.1.1-py3-none-any.whl.metadata (3.0 kB)
#23 142.5 Collecting Jinja2<4,>=2.11 (from mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading jinja2-3.1.6-py3-none-any.whl.metadata (2.9 kB)
#23 142.5 Collecting alembic!=1.10.0,<2 (from mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading alembic-1.16.1-py3-none-any.whl.metadata (7.3 kB)
#23 142.5 Collecting docker<8,>=4.0.0 (from mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading docker-7.1.0-py3-none-any.whl.metadata (3.8 kB)
#23 142.5 Collecting graphene<4 (from mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading graphene-3.4.3-py2.py3-none-any.whl.metadata (6.9 kB)
#23 142.5 Collecting gunicorn<24 (from mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading gunicorn-23.0.0-py3-none-any.whl.metadata (4.4 kB)
#23 142.5 Collecting markdown<4,>=3.3 (from mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading markdown-3.8-py3-none-any.whl.metadata (5.1 kB)
#23 142.5 Collecting matplotlib<4 (from mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading matplotlib-3.10.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)
#23 142.5 Collecting pyarrow<20,>=4.0.0 (from mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading pyarrow-19.0.1-cp312-cp312-manylinux_2_28_x86_64.whl.metadata (3.3 kB)
#23 142.5 Collecting scikit-learn<2 (from mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading scikit_learn-1.6.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (18 kB)
#23 142.5 Collecting scipy<2 (from mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading scipy-1.15.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB)
#23 142.5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 62.0/62.0 kB 4.9 MB/s eta 0:00:00
#23 142.5 Collecting sqlalchemy<3,>=1.4.0 (from mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading sqlalchemy-2.0.41-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (9.6 kB)
#23 142.5 Collecting cachetools<6,>=5.0.0 (from mlflow-skinny==2.21.3->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading cachetools-5.5.2-py3-none-any.whl.metadata (5.4 kB)
#23 142.5 Collecting click<9,>=7.0 (from mlflow-skinny==2.21.3->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading click-8.2.1-py3-none-any.whl.metadata (2.5 kB)
#23 142.5 Collecting cloudpickle<4 (from mlflow-skinny==2.21.3->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading cloudpickle-3.1.1-py3-none-any.whl.metadata (7.1 kB)
#23 142.5 Collecting databricks-sdk<1,>=0.20.0 (from mlflow-skinny==2.21.3->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading databricks_sdk-0.54.0-py3-none-any.whl.metadata (39 kB)
#23 142.5 Collecting fastapi<1 (from mlflow-skinny==2.21.3->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading fastapi-0.115.12-py3-none-any.whl.metadata (27 kB)
#23 142.5 Collecting gitpython<4,>=3.1.9 (from mlflow-skinny==2.21.3->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading GitPython-3.1.44-py3-none-any.whl.metadata (13 kB)
#23 142.5 Collecting importlib_metadata!=4.7.0,<9,>=3.7.0 (from mlflow-skinny==2.21.3->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading importlib_metadata-8.7.0-py3-none-any.whl.metadata (4.8 kB)
#23 142.5 Collecting opentelemetry-api<3,>=1.9.0 (from mlflow-skinny==2.21.3->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading opentelemetry_api-1.33.1-py3-none-any.whl.metadata (1.6 kB)
#23 142.5 Collecting opentelemetry-sdk<3,>=1.9.0 (from mlflow-skinny==2.21.3->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading opentelemetry_sdk-1.33.1-py3-none-any.whl.metadata (1.6 kB)
#23 142.5 Collecting packaging<25 (from mlflow-skinny==2.21.3->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading packaging-24.2-py3-none-any.whl.metadata (3.2 kB)
#23 142.5 Collecting protobuf<6,>=3.12.0 (from mlflow-skinny==2.21.3->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading protobuf-5.29.4-cp38-abi3-manylinux2014_x86_64.whl.metadata (592 bytes)
#23 142.5 Collecting pydantic<3,>=1.10.8 (from mlflow-skinny==2.21.3->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading pydantic-2.11.5-py3-none-any.whl.metadata (67 kB)
#23 142.5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 67.2/67.2 kB 5.2 MB/s eta 0:00:00
#23 142.5 Collecting pyyaml<7,>=5.1 (from mlflow-skinny==2.21.3->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading PyYAML-6.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.1 kB)
#23 142.5 Collecting requests<3,>=2.17.3 (from mlflow-skinny==2.21.3->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading requests-2.32.3-py3-none-any.whl.metadata (4.6 kB)
#23 142.5 Collecting sqlparse<1,>=0.4.0 (from mlflow-skinny==2.21.3->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading sqlparse-0.5.3-py3-none-any.whl.metadata (3.9 kB)
#23 142.5 Collecting typing-extensions<5,>=4.0.0 (from mlflow-skinny==2.21.3->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading typing_extensions-4.13.2-py3-none-any.whl.metadata (3.0 kB)
#23 142.5 Collecting uvicorn<1 (from mlflow-skinny==2.21.3->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading uvicorn-0.34.2-py3-none-any.whl.metadata (6.5 kB)
#23 142.5 Collecting python-dateutil>=2.8.2 (from pandas->-r /model/condaenv.actfhfyv.requirements.txt (line 2))
#23 142.5 Downloading python_dateutil-2.9.0.post0-py2.py3-none-any.whl.metadata (8.4 kB)
#23 142.5 Collecting pytz>=2020.1 (from pandas->-r /model/condaenv.actfhfyv.requirements.txt (line 2))
#23 142.5 Downloading pytz-2025.2-py2.py3-none-any.whl.metadata (22 kB)
#23 142.5 Collecting tzdata>=2022.7 (from pandas->-r /model/condaenv.actfhfyv.requirements.txt (line 2))
#23 142.5 Downloading tzdata-2025.2-py2.py3-none-any.whl.metadata (1.4 kB)
#23 142.5 Collecting Mako (from alembic!=1.10.0,<2->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading mako-1.3.10-py3-none-any.whl.metadata (2.9 kB)
#23 142.5 Collecting urllib3>=1.26.0 (from docker<8,>=4.0.0->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading urllib3-2.4.0-py3-none-any.whl.metadata (6.5 kB)
#23 142.5 Collecting blinker>=1.9.0 (from Flask<4->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading blinker-1.9.0-py3-none-any.whl.metadata (1.6 kB)
#23 142.5 Collecting itsdangerous>=2.2.0 (from Flask<4->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading itsdangerous-2.2.0-py3-none-any.whl.metadata (1.9 kB)
#23 142.5 Collecting markupsafe>=2.1.1 (from Flask<4->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading MarkupSafe-3.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.0 kB)
#23 142.5 Collecting werkzeug>=3.1.0 (from Flask<4->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading werkzeug-3.1.3-py3-none-any.whl.metadata (3.7 kB)
#23 142.5 Collecting graphql-core<3.3,>=3.1 (from graphene<4->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading graphql_core-3.2.6-py3-none-any.whl.metadata (11 kB)
#23 142.5 Collecting graphql-relay<3.3,>=3.1 (from graphene<4->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading graphql_relay-3.2.0-py3-none-any.whl.metadata (12 kB)
#23 142.5 Collecting contourpy>=1.0.1 (from matplotlib<4->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading contourpy-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.5 kB)
#23 142.5 Collecting cycler>=0.10 (from matplotlib<4->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading cycler-0.12.1-py3-none-any.whl.metadata (3.8 kB)
#23 142.5 Collecting fonttools>=4.22.0 (from matplotlib<4->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading fonttools-4.58.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (104 kB)
#23 142.5 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 104.5/104.5 kB 10.4 MB/s eta 0:00:00
#23 142.5 Collecting kiwisolver>=1.3.1 (from matplotlib<4->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading kiwisolver-1.4.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.2 kB)
#23 142.5 Collecting pillow>=8 (from matplotlib<4->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading pillow-11.2.1-cp312-cp312-manylinux_2_28_x86_64.whl.metadata (8.9 kB)
#23 142.5 Collecting pyparsing>=2.3.1 (from matplotlib<4->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading pyparsing-3.2.3-py3-none-any.whl.metadata (5.0 kB)
#23 142.5 Collecting six>=1.5 (from python-dateutil>=2.8.2->pandas->-r /model/condaenv.actfhfyv.requirements.txt (line 2))
#23 142.5 Downloading six-1.17.0-py2.py3-none-any.whl.metadata (1.7 kB)
#23 142.5 Collecting joblib>=1.2.0 (from scikit-learn<2->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading joblib-1.5.1-py3-none-any.whl.metadata (5.6 kB)
#23 142.5 Collecting threadpoolctl>=3.1.0 (from scikit-learn<2->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading threadpoolctl-3.6.0-py3-none-any.whl.metadata (13 kB)
#23 142.5 Collecting greenlet>=1 (from sqlalchemy<3,>=1.4.0->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading greenlet-3.2.2-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.metadata (4.1 kB)
#23 142.5 Collecting google-auth~=2.0 (from databricks-sdk<1,>=0.20.0->mlflow-skinny==2.21.3->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading google_auth-2.40.2-py2.py3-none-any.whl.metadata (6.2 kB)
#23 142.5 Collecting starlette<0.47.0,>=0.40.0 (from fastapi<1->mlflow-skinny==2.21.3->mlflow==2.21.3->-r /model/condaenv.actfhfyv.requirements.txt (line 1))
#23 142.5 Downloading starlette-0.46.2-py3-none-any.whl.metadata (6.2 kB)
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#23 142.5 Installing collected packages: pytz, zipp, wrapt, urllib3, tzdata, typing-extensions, threadpoolctl, sqlparse, sniffio, smmap, six, pyyaml, pyparsing, pyasn1, pyarrow, protobuf, pillow, packaging, numpy, markupsafe, markdown, kiwisolver, joblib, itsdangerous, idna, h11, greenlet, graphql-core, fonttools, cycler, cloudpickle, click, charset-normalizer, certifi, cachetools, blinker, annotated-types, werkzeug, uvicorn, typing-inspection, sqlalchemy, scipy, rsa, requests, python-dateutil, pydantic-core, pyasn1-modules, Mako, Jinja2, importlib_metadata, gunicorn, graphql-relay, gitdb, deprecated, contourpy, anyio, starlette, scikit-learn, pydantic, pandas, opentelemetry-api, matplotlib, graphene, google-auth, gitpython, Flask, docker, alembic, opentelemetry-semantic-conventions, fastapi, databricks-sdk, opentelemetry-sdk, mlflow-skinny, mlflow
#23 142.5 Successfully installed Flask-3.1.1 Jinja2-3.1.6 Mako-1.3.10 alembic-1.16.1 annotated-types-0.7.0 anyio-4.9.0 blinker-1.9.0 cachetools-5.5.2 certifi-2025.4.26 charset-normalizer-3.4.2 click-8.2.1 cloudpickle-3.1.1 contourpy-1.3.2 cycler-0.12.1 databricks-sdk-0.54.0 deprecated-1.2.18 docker-7.1.0 fastapi-0.115.12 fonttools-4.58.0 gitdb-4.0.12 gitpython-3.1.44 google-auth-2.40.2 graphene-3.4.3 graphql-core-3.2.6 graphql-relay-3.2.0 greenlet-3.2.2 gunicorn-23.0.0 h11-0.16.0 idna-3.10 importlib_metadata-8.6.1 itsdangerous-2.2.0 joblib-1.5.1 kiwisolver-1.4.8 markdown-3.8 markupsafe-3.0.2 matplotlib-3.10.3 mlflow-2.21.3 mlflow-skinny-2.21.3 numpy-2.2.6 opentelemetry-api-1.33.1 opentelemetry-sdk-1.33.1 opentelemetry-semantic-conventions-0.54b1 packaging-24.2 pandas-2.2.3 pillow-11.2.1 protobuf-5.29.4 pyarrow-19.0.1 pyasn1-0.6.1 pyasn1-modules-0.4.2 pydantic-2.11.5 pydantic-core-2.33.2 pyparsing-3.2.3 python-dateutil-2.9.0.post0 pytz-2025.2 pyyaml-6.0.2 requests-2.32.3 rsa-4.9.1 scikit-learn-1.6.1 scipy-1.15.3 six-1.17.0 smmap-5.0.2 sniffio-1.3.1 sqlalchemy-2.0.41 sqlparse-0.5.3 starlette-0.46.2 threadpoolctl-3.6.0 typing-extensions-4.13.2 typing-inspection-0.4.1 tzdata-2025.2 urllib3-2.4.0 uvicorn-0.34.2 werkzeug-3.1.3 wrapt-1.17.2 zipp-3.22.0
#23 142.5
#23 142.5 done
#23 142.5 #
#23 142.5 # To activate this environment, use
#23 142.5 #
#23 142.5 # $ conda activate mlflow-env
#23 142.5 #
#23 142.5 # To deactivate an active environment, use
#23 142.5 #
#23 142.5 # $ conda deactivate
#23 142.5
#23 151.0 Conda environment created successfully on attempt 1.Any clues of why this is happening? It worked perfectly last week. Thank for any help
