chore(deps): update dependency mlflow to v2.16.2

canonical · Sep 24, 2024 · a77d294 · a77d294
1 parent 78510f8
commit a77d294
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Showing 6 changed files with 79 additions and 61 deletions.
diff --git a/tests/notebooks/e2e-wine/requirements.in b/tests/notebooks/e2e-wine/requirements.in
@@ -4,7 +4,7 @@ kfp==2.5.0
 # 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==2.15.1
+mlflow==2.16.2
 numpy
 pyarrow
 requests

diff --git a/tests/notebooks/e2e-wine/requirements.txt b/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
@@ -27,6 +27,8 @@ anyio==4.4.0
     #   httpx
     #   starlette
     #   watchfiles
+async-timeout==4.0.3
+    # via aiohttp
 attrs==24.2.0
     # via
     #   aiohttp
@@ -69,8 +71,6 @@ colorful==0.5.6
     # via ray
 configparser==7.0.0
     # via minio
-contourpy==1.2.1
-    # via matplotlib
 cycler==0.12.1
     # via matplotlib
 databricks-sdk==0.30.0
@@ -87,8 +87,8 @@ docker==7.1.0
     # via mlflow
 docstring-parser==0.16
     # via kfp
-entrypoints==0.4
-    # via mlflow-skinny
+exceptiongroup==1.2.2
+    # via anyio
 fastapi==0.109.2
     # via
     #   kserve
@@ -170,8 +170,16 @@ idna==3.7
     #   yarl
 importlib-metadata==7.2.1
     # via
+    #   alembic
+    #   flask
+    #   markdown
     #   mlflow-skinny
     #   opentelemetry-api
+importlib-resources==6.4.5
+    # via
+    #   alembic
+    #   jsonschema
+    #   jsonschema-specifications
 itsdangerous==2.2.0
     # via flask
 jinja2==3.1.4
@@ -211,24 +219,23 @@ markupsafe==2.1.5
     #   jinja2
     #   mako
     #   werkzeug
-matplotlib==3.9.2
+matplotlib==3.5.3
     # via mlflow
 minio==6.0.2
     # via -r requirements.in
-mlflow==2.15.1
+mlflow==2.16.2
     # via -r requirements.in
-mlflow-skinny==2.15.1
+mlflow-skinny==2.16.2
     # via mlflow
 msgpack==1.0.8
     # via ray
 multidict==6.0.5
     # via
     #   aiohttp
     #   yarl
-numpy==1.26.4
+numpy==1.24.4
     # via
     #   -r requirements.in
-    #   contourpy
     #   kserve
     #   matplotlib
     #   mlflow
@@ -260,12 +267,14 @@ packaging==24.1
     #   matplotlib
     #   mlflow-skinny
     #   ray
-pandas==2.2.2
+pandas==2.0.3
     # via
     #   kserve
     #   mlflow
 pillow==10.4.0
     # via matplotlib
+pkgutil-resolve-name==1.3.10
+    # via jsonschema
 platformdirs==4.2.2
     # via virtualenv
 prometheus-client==0.20.0
@@ -321,7 +330,6 @@ python-dotenv==1.0.1
 pytz==2024.1
     # via
     #   minio
-    #   mlflow-skinny
     #   pandas
 pyyaml==6.0.2
     # via
@@ -331,8 +339,6 @@ pyyaml==6.0.2
     #   mlflow-skinny
     #   ray
     #   uvicorn
-querystring-parser==1.2.4
-    # via mlflow
 ray[serve]==2.10.0
     # via kserve
 referencing==0.35.1
@@ -363,11 +369,11 @@ rsa==4.9
     # via google-auth
 s3transfer==0.10.2
     # via boto3
-scikit-learn==1.5.1
+scikit-learn==1.3.2
     # via
     #   -r requirements.in
     #   mlflow
-scipy==1.14.0
+scipy==1.10.1
     # via
     #   mlflow
     #   scikit-learn
@@ -378,7 +384,6 @@ six==1.16.0
     #   kubernetes
     #   opencensus
     #   python-dateutil
-    #   querystring-parser
 smart-open==7.0.4
     # via ray
 smmap==5.0.1
@@ -410,11 +415,15 @@ timing-asgi==0.3.1
 typing-extensions==4.12.2
     # via
     #   alembic
+    #   annotated-types
+    #   anyio
     #   fastapi
+    #   kfp
     #   opentelemetry-sdk
     #   pydantic
     #   pydantic-core
     #   sqlalchemy
+    #   starlette
 tzdata==2024.1
     # via pandas
 urllib3==1.26.19
@@ -451,7 +460,9 @@ wrapt==1.16.0
 yarl==1.9.4
     # via aiohttp
 zipp==3.20.0
-    # via importlib-metadata
+    # via
+    #   importlib-metadata
+    #   importlib-resources
 
 # The following packages are considered to be unsafe in a requirements file:
 # setuptools
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==2.15.1
+mlflow==2.16.2
 numpy
 pyarrow
 requests

diff --git a/tests/notebooks/mlflow-kserve/requirements.txt b/tests/notebooks/mlflow-kserve/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
@@ -27,6 +27,8 @@ anyio==4.4.0
     #   httpx
     #   starlette
     #   watchfiles
+async-timeout==4.0.3
+    # via aiohttp
 attrs==24.2.0
     # via
     #   aiohttp
@@ -67,8 +69,6 @@ colorful==0.5.6
     # via ray
 configparser==7.0.0
     # via minio
-contourpy==1.2.1
-    # via matplotlib
 cycler==0.12.1
     # via matplotlib
 databricks-sdk==0.30.0
@@ -83,8 +83,8 @@ distlib==0.3.8
     # via virtualenv
 docker==7.1.0
     # via mlflow
-entrypoints==0.4
-    # via mlflow-skinny
+exceptiongroup==1.2.2
+    # via anyio
 fastapi==0.109.2
     # via
     #   kserve
@@ -149,8 +149,16 @@ idna==3.7
     #   yarl
 importlib-metadata==7.2.1
     # via
+    #   alembic
+    #   flask
+    #   markdown
     #   mlflow-skinny
     #   opentelemetry-api
+importlib-resources==6.4.5
+    # via
+    #   alembic
+    #   jsonschema
+    #   jsonschema-specifications
 itsdangerous==2.2.0
     # via flask
 jinja2==3.1.4
@@ -184,24 +192,23 @@ markupsafe==2.1.5
     #   jinja2
     #   mako
     #   werkzeug
-matplotlib==3.9.2
+matplotlib==3.5.3
     # via mlflow
 minio==6.0.2
     # via -r requirements.in
-mlflow==2.15.1
+mlflow==2.16.2
     # via -r requirements.in
-mlflow-skinny==2.15.1
+mlflow-skinny==2.16.2
     # via mlflow
 msgpack==1.0.8
     # via ray
 multidict==6.0.5
     # via
     #   aiohttp
     #   yarl
-numpy==1.26.4
+numpy==1.24.4
     # via
     #   -r requirements.in
-    #   contourpy
     #   kserve
     #   matplotlib
     #   mlflow
@@ -235,12 +242,14 @@ packaging==24.1
     #   matplotlib
     #   mlflow-skinny
     #   ray
-pandas==2.2.2
+pandas==2.0.3
     # via
     #   kserve
     #   mlflow
 pillow==10.4.0
     # via matplotlib
+pkgutil-resolve-name==1.3.10
+    # via jsonschema
 platformdirs==4.2.2
     # via virtualenv
 prometheus-client==0.20.0
@@ -293,7 +302,6 @@ python-dotenv==1.0.1
 pytz==2024.1
     # via
     #   minio
-    #   mlflow-skinny
     #   pandas
 pyyaml==6.0.2
     # via
@@ -302,8 +310,6 @@ pyyaml==6.0.2
     #   mlflow-skinny
     #   ray
     #   uvicorn
-querystring-parser==1.2.4
-    # via mlflow
 ray[serve]==2.10.0
     # via kserve
 referencing==0.35.1
@@ -330,11 +336,11 @@ rsa==4.9
     # via google-auth
 s3transfer==0.10.2
     # via boto3
-scikit-learn==1.5.1
+scikit-learn==1.3.2
     # via
     #   -r requirements.in
     #   mlflow
-scipy==1.14.0
+scipy==1.10.1
     # via
     #   mlflow
     #   scikit-learn
@@ -344,7 +350,6 @@ six==1.16.0
     #   kubernetes
     #   opencensus
     #   python-dateutil
-    #   querystring-parser
 smart-open==7.0.4
     # via ray
 smmap==5.0.1
@@ -374,14 +379,17 @@ timing-asgi==0.3.1
 typing-extensions==4.12.2
     # via
     #   alembic
+    #   annotated-types
+    #   anyio
     #   fastapi
     #   opentelemetry-sdk
     #   pydantic
     #   pydantic-core
     #   sqlalchemy
+    #   starlette
 tzdata==2024.1
     # via pandas
-urllib3==2.2.2
+urllib3==1.26.20
     # via
     #   botocore
     #   docker
@@ -413,4 +421,6 @@ wrapt==1.16.0
 yarl==1.9.4
     # via aiohttp
 zipp==3.20.0
-    # via importlib-metadata
+    # via
+    #   importlib-metadata
+    #   importlib-resources
diff --git a/tests/notebooks/mlflow/requirements.in b/tests/notebooks/mlflow/requirements.in
@@ -2,6 +2,6 @@ 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==2.15.1
+mlflow==2.16.2
 scikit-learn
 tenacity