chore(deps): update dependency mlflow to v2.14.3

tests/notebooks/e2e-wine/requirements.in

@@ -5,7 +5,7 @@ kfp==1.8.22
 # pin to <7.0 to avoid breaking changes in sdk
 minio<7.0
 # pin the client to match the version of the deployed MLflow server
-mlflow==2.1.1
+mlflow==2.14.3
 numpy
 pyarrow
 requests

tests/notebooks/e2e-wine/requirements.txt

@@ -1,5 +1,5 @@
 #
-# This file is autogenerated by pip-compile with Python 3.11
+# This file is autogenerated by pip-compile with Python 3.8
 # by the following command:
 #
 # pip-compile requirements.in
@@ -8,6 +8,8 @@ absl-py==1.4.0
  # via kfp
 alembic==1.13.2
  # via mlflow
+aniso8601==9.0.1
+ # via graphene
 attrs==23.2.0
  # via
  # jsonschema
@@ -21,7 +23,9 @@ botocore==1.34.143
  # boto3
  # s3transfer
 cachetools==5.3.3
- # via google-auth
+ # via
+ # google-auth
+ # mlflow
 certifi==2024.7.4
  # via
  # kfp-server-api
@@ -32,7 +36,6 @@ charset-normalizer==3.3.2
  # via requests
 click==8.1.7
  # via
- # databricks-cli
  # flask
  # kfp
  # mlflow
@@ -41,17 +44,14 @@ cloudpickle==2.2.1
  # via
  # kfp
  # mlflow
- # shap
 configparser==7.0.0
  # via minio
-contourpy==1.2.1
- # via matplotlib
 cycler==0.12.1
  # via matplotlib
-databricks-cli==0.18.0
- # via mlflow
 deprecated==1.2.14
- # via kfp
+ # via
+ # kfp
+ # opentelemetry-api
 docker==6.1.3
  # via mlflow
 docstring-parser==0.16
@@ -99,6 +99,14 @@ google-resumable-media==2.7.1
  # via google-cloud-storage
 googleapis-common-protos==1.63.2
  # via google-api-core
+graphene==3.3
+ # via mlflow
+graphql-core==3.2.3
+ # via
+ # graphene
+ # graphql-relay
+graphql-relay==3.2.0
+ # via graphene
 greenlet==3.0.3
  # via sqlalchemy
 gunicorn==20.1.0
@@ -110,7 +118,16 @@ httplib2==0.22.0
 idna==3.7
  # via requests
 importlib-metadata==5.2.0
- # via mlflow
+ # via
+ # alembic
+ # flask
+ # markdown
+ # mlflow
+importlib-resources==6.4.0
+ # via
+ # alembic
+ # jsonschema
+ # jsonschema-specifications
 itsdangerous==2.2.0
  # via flask
 jinja2==3.1.4
@@ -137,8 +154,6 @@ kiwisolver==1.4.5
  # via matplotlib
 kubernetes==25.3.0
  # via kfp
-llvmlite==0.43.0
- # via numba
 mako==1.3.5
  # via alembic
 markdown==3.6
@@ -150,44 +165,44 @@ markupsafe==2.1.5
  # jinja2
  # mako
  # werkzeug
-matplotlib==3.9.1
+matplotlib==3.5.3
  # via mlflow
 mdurl==0.1.2
  # via markdown-it-py
 minio==6.0.2
  # via -r requirements.in
-mlflow==2.1.1
+mlflow==2.14.3
  # via -r requirements.in
-numba==0.60.0
- # via shap
-numpy==1.26.4
+numpy==1.24.4
  # via
  # -r requirements.in
- # contourpy
  # matplotlib
  # mlflow
- # numba
  # pandas
  # pyarrow
  # scikit-learn
  # scipy
- # shap
 oauthlib==3.2.2
+ # via requests-oauthlib
+opentelemetry-api==1.16.0
  # via
- # databricks-cli
- # requests-oauthlib
+ # mlflow
+ # opentelemetry-sdk
+opentelemetry-sdk==1.16.0
+ # via mlflow
+opentelemetry-semantic-conventions==0.37b0
+ # via opentelemetry-sdk
 packaging==22.0
  # via
  # docker
  # matplotlib
  # mlflow
- # shap
 pandas==1.5.3
- # via
- # mlflow
- # shap
+ # via mlflow
 pillow==10.4.0
  # via matplotlib
+pkgutil-resolve-name==1.3.10
+ # via jsonschema
 proto-plus==1.24.0
  # via google-api-core
 protobuf==3.20.3
@@ -212,8 +227,6 @@ pydantic==1.10.17
  # via kfp
 pygments==2.18.0
  # via rich
-pyjwt==2.8.0
- # via databricks-cli
 pyparsing==3.1.2
  # via
  # httplib2
@@ -245,7 +258,6 @@ referencing==0.35.1
 requests==2.32.3
  # via
  # -r requirements.in
- # databricks-cli
  # docker
  # google-api-core
  # google-cloud-storage
@@ -271,27 +283,20 @@ scikit-learn==1.1.3
  # via
  # -r requirements.in
  # mlflow
- # shap
-scipy==1.14.0
+scipy==1.10.1
  # via
  # mlflow
  # scikit-learn
- # shap
-shap==0.46.0
- # via mlflow
 shellingham==1.5.4
  # via typer
 six==1.16.0
  # via
- # databricks-cli
  # fire
  # google-api-python-client
  # kfp-server-api
  # kubernetes
  # python-dateutil
  # querystring-parser
-slicer==0.0.8
- # via shap
 smmap==5.0.1
  # via gitdb
 sqlalchemy==1.4.52
@@ -303,23 +308,22 @@ sqlparse==0.5.0
 strip-hints==0.1.10
  # via kfp
 tabulate==0.9.0
- # via
- # databricks-cli
- # kfp
+ # via kfp
 tenacity==8.5.0
  # via -r requirements.in
 termcolor==2.4.0
  # via fire
 threadpoolctl==3.5.0
  # via scikit-learn
-tqdm==4.66.4
- # via shap
 typer==0.12.3
  # via kfp
 typing-extensions==4.12.2
  # via
  # alembic
+ # kfp
+ # opentelemetry-sdk
  # pydantic
+ # rich
  # typer
 uritemplate==3.0.1
  # via
@@ -328,7 +332,6 @@ uritemplate==3.0.1
 urllib3==1.26.19
  # via
  # botocore
- # databricks-cli
  # docker
  # kfp
  # kfp-server-api
@@ -346,7 +349,9 @@ wheel==0.43.0
 wrapt==1.16.0
  # via deprecated
 zipp==3.19.2
- # via importlib-metadata
+ # via
+ # importlib-metadata
+ # importlib-resources
 
 # The following packages are considered to be unsafe in a requirements file:
 # setuptools

tests/notebooks/mlflow-kserve/requirements.in

@@ -2,7 +2,7 @@ boto3
 # pin to <7.0 to avoid breaking changes in sdk
 minio<7.0
 # pin the client to match the version of the deployed MLflow server
-mlflow==2.1.1
+mlflow==2.14.3
 numpy
 pyarrow
 requests

tests/notebooks/mlflow/requirements.in

@@ -2,7 +2,7 @@ boto3
 # pin to <7.0 to avoid breaking changes in sdk
 minio<7.0
 # pin the client to match the version of the deployed MLflow server
-mlflow==2.1.1
+mlflow==2.14.3
 # pin to ensure compatibility with the installed mlflow client
 scikit-learn<1.2
 tenacity