chore(deps): update dependency mlflow to v2.11.3

canonical · Mar 21, 2024 · 13a3a41 · 13a3a41
1 parent ee0fa08
commit 13a3a41
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Showing 6 changed files with 45 additions and 108 deletions.
diff --git a/tests/notebooks/e2e-wine/requirements.in b/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==2.11.3
 numpy
 pyarrow
 requests

diff --git a/tests/notebooks/e2e-wine/requirements.txt b/tests/notebooks/e2e-wine/requirements.txt
@@ -8,6 +8,8 @@ absl-py==1.4.0
  # via kfp
 alembic==1.12.0
  # via mlflow
+aniso8601==9.0.1
+ # via graphene
 attrs==23.1.0
  # via
  # jsonschema
@@ -32,7 +34,6 @@ charset-normalizer==3.2.0
  # via requests
 click==8.1.7
  # via
- # databricks-cli
  # flask
  # kfp
  # mlflow
@@ -41,15 +42,12 @@ cloudpickle==2.2.1
  # via
  # kfp
  # mlflow
- # shap
 configparser==6.0.0
  # via minio
 contourpy==1.1.1
  # via matplotlib
 cycler==0.11.0
  # via matplotlib
-databricks-cli==0.17.7
- # via mlflow
 deprecated==1.2.14
  # via kfp
 docker==6.1.3
@@ -97,6 +95,14 @@ google-resumable-media==2.6.0
  # via google-cloud-storage
 googleapis-common-protos==1.60.0
  # 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==2.0.2
  # via sqlalchemy
 gunicorn==20.1.0
@@ -113,7 +119,6 @@ importlib-metadata==5.2.0
  # flask
  # markdown
  # mlflow
- # numba
 importlib-resources==6.0.1
  # via
  # alembic
@@ -146,8 +151,6 @@ kiwisolver==1.4.5
  # via matplotlib
 kubernetes==25.3.0
  # via kfp
-llvmlite==0.40.1
- # via numba
 mako==1.2.4
  # via alembic
 markdown==3.4.4
@@ -161,36 +164,27 @@ matplotlib==3.7.3
  # via mlflow
 minio==6.0.2
  # via -r requirements.in
-mlflow==2.1.1
+mlflow==2.11.3
  # via -r requirements.in
-numba==0.57.1
- # via shap
 numpy==1.24.4
  # via
  # -r requirements.in
  # contourpy
  # matplotlib
  # mlflow
- # numba
  # pandas
  # pyarrow
  # scikit-learn
  # scipy
- # shap
 oauthlib==3.2.2
- # via
- # databricks-cli
- # requests-oauthlib
+ # via requests-oauthlib
 packaging==22.0
  # via
  # docker
  # matplotlib
  # mlflow
- # shap
 pandas==1.5.3
- # via
- # mlflow
- # shap
+ # via mlflow
 pillow==10.0.1
  # via matplotlib
 pkgutil-resolve-name==1.3.10
@@ -214,8 +208,6 @@ pyasn1-modules==0.3.0
  # via google-auth
 pydantic==1.10.12
  # via kfp
-pyjwt==2.8.0
- # via databricks-cli
 pyparsing==3.1.1
  # via
  # httplib2
@@ -247,7 +239,6 @@ referencing==0.30.2
 requests==2.31.0
  # via
  # -r requirements.in
- # databricks-cli
  # docker
  # google-api-core
  # google-cloud-storage
@@ -271,25 +262,18 @@ scikit-learn==1.1.3
  # via
  # -r requirements.in
  # mlflow
- # shap
 scipy==1.10.1
  # via
  # mlflow
  # scikit-learn
- # shap
-shap==0.42.1
- # via mlflow
 six==1.16.0
  # via
- # databricks-cli
  # fire
  # google-api-python-client
  # kfp-server-api
  # kubernetes
  # python-dateutil
  # querystring-parser
-slicer==0.0.7
- # via shap
 smmap==5.0.1
  # via gitdb
 sqlalchemy==1.4.49
@@ -301,17 +285,13 @@ sqlparse==0.4.4
 strip-hints==0.1.10
  # via kfp
 tabulate==0.9.0
- # via
- # databricks-cli
- # kfp
+ # via kfp
 tenacity==8.2.3
  # via -r requirements.in
 termcolor==2.3.0
  # via fire
 threadpoolctl==3.2.0
  # via scikit-learn
-tqdm==4.66.1
- # via shap
 typer==0.9.0
  # via kfp
 typing-extensions==4.8.0
@@ -327,7 +307,6 @@ uritemplate==3.0.1
 urllib3==1.26.16
  # via
  # botocore
- # databricks-cli
  # docker
  # google-auth
  # kfp

diff --git a/tests/notebooks/mlflow-kserve/requirements.in b/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==2.11.3
 numpy
 pyarrow
 requests

diff --git a/tests/notebooks/mlflow-kserve/requirements.txt b/tests/notebooks/mlflow-kserve/requirements.txt
@@ -18,6 +18,8 @@ aiosignal==1.3.1
  # ray
 alembic==1.12.0
  # via mlflow
+aniso8601==9.0.1
+ # via graphene
 anyio==4.0.0
  # via
  # httpcore
@@ -56,17 +58,14 @@ charset-normalizer==3.2.0
  # requests
 click==8.1.7
  # via
- # databricks-cli
  # flask
  # mlflow
  # ray
  # uvicorn
 cloudevents==1.10.0
  # via kserve
 cloudpickle==2.2.1
- # via
- # mlflow
- # shap
+ # via mlflow
 colorful==0.5.5
  # via ray
 configparser==6.0.0
@@ -77,8 +76,6 @@ cuda-python==12.3.0
  # via tritonclient
 cycler==0.11.0
  # via matplotlib
-databricks-cli==0.17.7
- # via mlflow
 deprecation==2.1.0
  # via cloudevents
 distlib==0.3.7
@@ -120,6 +117,14 @@ googleapis-common-protos==1.60.0
  # via google-api-core
 gpustat==1.1.1
  # via ray
+graphene==3.3
+ # via mlflow
+graphql-core==3.2.3
+ # via
+ # graphene
+ # graphql-relay
+graphql-relay==3.2.0
+ # via graphene
 greenlet==2.0.2
  # via sqlalchemy
 grpcio==1.51.3
@@ -150,7 +155,6 @@ importlib-metadata==5.2.0
  # flask
  # markdown
  # mlflow
- # numba
 importlib-resources==6.0.1
  # via
  # alembic
@@ -181,8 +185,6 @@ kubernetes==25.3.0
  # via
  # -r requirements.in
  # kserve
-llvmlite==0.40.1
- # via numba
 mako==1.2.4
  # via alembic
 markdown==3.4.4
@@ -196,37 +198,31 @@ matplotlib==3.7.3
  # via mlflow
 minio==6.0.2
  # via -r requirements.in
-mlflow==2.1.1
+mlflow==2.11.3
  # via -r requirements.in
 msgpack==1.0.7
  # via ray
 multidict==6.0.4
  # via
  # aiohttp
  # yarl
-numba==0.57.1
- # via shap
 numpy==1.24.4
  # via
  # -r requirements.in
  # contourpy
  # kserve
  # matplotlib
  # mlflow
- # numba
  # pandas
  # pyarrow
  # ray
  # scikit-learn
  # scipy
- # shap
  # tritonclient
 nvidia-ml-py==12.535.108
  # via gpustat
 oauthlib==3.2.2
- # via
- # databricks-cli
- # requests-oauthlib
+ # via requests-oauthlib
 opencensus==0.11.3
  # via ray
 opencensus-context==0.1.3
@@ -239,12 +235,10 @@ packaging==22.0
  # docker
  # matplotlib
  # mlflow
- # shap
 pandas==1.5.3
  # via
  # kserve
  # mlflow
- # shap
 pillow==10.0.1
  # via matplotlib
 pkgutil-resolve-name==1.3.10
@@ -258,6 +252,7 @@ prometheus-client==0.13.1
 protobuf==3.20.3
  # via
  # google-api-core
+ # googleapis-common-protos
  # kserve
  # mlflow
  # ray
@@ -281,8 +276,6 @@ pydantic==1.10.12
  # via
  # fastapi
  # ray
-pyjwt==2.8.0
- # via databricks-cli
 pyparsing==3.1.1
  # via matplotlib
 python-dateutil==2.8.2
@@ -319,7 +312,6 @@ referencing==0.30.2
 requests==2.31.0
  # via
  # -r requirements.in
- # databricks-cli
  # docker
  # google-api-core
  # kubernetes
@@ -342,24 +334,17 @@ scikit-learn==1.1.3
  # via
  # -r requirements.in
  # mlflow
- # shap
 scipy==1.10.1
  # via
  # mlflow
  # scikit-learn
- # shap
-shap==0.42.1
- # via mlflow
 six==1.16.0
  # via
  # blessed
- # databricks-cli
  # kserve
  # kubernetes
  # python-dateutil
  # querystring-parser
-slicer==0.0.7
- # via shap
 smart-open==6.4.0
  # via ray
 smmap==5.0.1
@@ -380,17 +365,13 @@ starlette==0.27.0
  # fastapi
  # ray
 tabulate==0.9.0
- # via
- # databricks-cli
- # kserve
+ # via kserve
 tenacity==8.2.3
  # via -r requirements.in
 threadpoolctl==3.2.0
  # via scikit-learn
 timing-asgi==0.3.1
  # via kserve
-tqdm==4.66.1
- # via shap
 tritonclient==2.38.0
  # via kserve
 typing-extensions==4.8.0
@@ -401,7 +382,6 @@ typing-extensions==4.8.0
 urllib3==1.26.16
  # via
  # botocore
- # databricks-cli
  # docker
  # google-auth
  # kubernetes