chore(deps): update dependency mlflow to v2.7.1

canonical · Oct 27, 2023 · 112c38a · 112c38a
1 parent 22750b1
commit 112c38a
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Showing 6 changed files with 18 additions and 70 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==2.7.1
 numpy
 pyarrow
 requests

diff --git a/tests/notebooks/e2e-wine/requirements.txt b/tests/notebooks/e2e-wine/requirements.txt
@@ -41,7 +41,6 @@ cloudpickle==2.2.1
     # via
     #   kfp
     #   mlflow
-    #   shap
 configparser==6.0.0
     # via minio
 contourpy==1.1.1
@@ -113,7 +112,6 @@ importlib-metadata==5.2.0
     #   flask
     #   markdown
     #   mlflow
-    #   numba
 importlib-resources==6.0.1
     # via
     #   alembic
@@ -146,8 +144,6 @@ 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
@@ -161,22 +157,18 @@ matplotlib==3.7.3
     # via mlflow
 minio==6.0.2
     # via -r requirements.in
-mlflow==2.1.1
+mlflow==2.7.1
     # 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
@@ -186,11 +178,8 @@ packaging==22.0
     #   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
@@ -271,14 +260,10 @@ 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
@@ -288,8 +273,6 @@ six==1.16.0
     #   kubernetes
     #   python-dateutil
     #   querystring-parser
-slicer==0.0.7
-    # via shap
 smmap==5.0.1
     # via gitdb
 sqlalchemy==1.4.49
@@ -310,8 +293,6 @@ 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

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==2.7.1
 numpy
 pyarrow
 requests

diff --git a/tests/notebooks/mlflow-kserve/requirements.txt b/tests/notebooks/mlflow-kserve/requirements.txt
@@ -64,9 +64,7 @@ click==8.1.7
 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
@@ -150,7 +148,6 @@ importlib-metadata==5.2.0
     #   flask
     #   markdown
     #   mlflow
-    #   numba
 importlib-resources==6.0.1
     # via
     #   alembic
@@ -181,8 +178,6 @@ 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
@@ -196,30 +191,26 @@ matplotlib==3.7.3
     # via mlflow
 minio==6.0.2
     # via -r requirements.in
-mlflow==2.1.1
+mlflow==2.7.1
     # 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
@@ -239,12 +230,10 @@ 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 +247,7 @@ prometheus-client==0.13.1
 protobuf==3.20.3
     # via
     #   google-api-core
+    #   googleapis-common-protos
     #   kserve
     #   mlflow
     #   ray
@@ -311,7 +301,9 @@ pyyaml==6.0.1
 querystring-parser==1.2.4
     # via mlflow
 ray[serve]==2.4.0
-    # via kserve
+    # via
+    #   kserve
+    #   ray
 referencing==0.30.2
     # via
     #   jsonschema
@@ -329,7 +321,9 @@ requests==2.31.0
 requests-oauthlib==1.3.1
     # via kubernetes
 rfc3986[idna2008]==1.5.0
-    # via httpx
+    # via
+    #   httpx
+    #   rfc3986
 rpds-py==0.10.3
     # via
     #   jsonschema
@@ -342,14 +336,10 @@ 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
@@ -358,8 +348,6 @@ six==1.16.0
     #   kubernetes
     #   python-dateutil
     #   querystring-parser
-slicer==0.0.7
-    # via shap
 smart-open==6.4.0
     # via ray
 smmap==5.0.1
@@ -389,8 +377,6 @@ 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
@@ -411,6 +397,7 @@ uvicorn[standard]==0.19.0
     # via
     #   kserve
     #   ray
+    #   uvicorn
 uvloop==0.19.0
     # via uvicorn
 virtualenv==20.21.0

diff --git a/tests/notebooks/mlflow/requirements.in b/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==2.7.1
 # pin to ensure compatibility with the installed mlflow client
 scikit-learn<1.2
 tenacity
diff --git a/tests/notebooks/mlflow/requirements.txt b/tests/notebooks/mlflow/requirements.txt
@@ -26,9 +26,7 @@ click==8.1.7
     #   flask
     #   mlflow
 cloudpickle==2.2.1
-    # via
-    #   mlflow
-    #   shap
+    # via mlflow
 configparser==6.0.0
     # via minio
 contourpy==1.1.1
@@ -61,7 +59,6 @@ importlib-metadata==5.2.0
     #   flask
     #   markdown
     #   mlflow
-    #   numba
 importlib-resources==6.0.1
     # via
     #   alembic
@@ -80,8 +77,6 @@ joblib==1.3.2
     # via scikit-learn
 kiwisolver==1.4.5
     # via matplotlib
-llvmlite==0.40.1
-    # via numba
 mako==1.2.4
     # via alembic
 markdown==3.4.4
@@ -95,33 +90,26 @@ matplotlib==3.7.3
     # via mlflow
 minio==6.0.2
     # via -r requirements.in
-mlflow==2.1.1
+mlflow==2.7.1
     # via -r requirements.in
-numba==0.57.1
-    # via shap
 numpy==1.24.4
     # via
     #   contourpy
     #   matplotlib
     #   mlflow
-    #   numba
     #   pandas
     #   pyarrow
     #   scikit-learn
     #   scipy
-    #   shap
 oauthlib==3.2.2
     # via databricks-cli
 packaging==22.0
     # via
     #   docker
     #   matplotlib
     #   mlflow
-    #   shap
 pandas==1.5.3
-    # via
-    #   mlflow
-    #   shap
+    # via mlflow
 pillow==10.0.1
     # via matplotlib
 protobuf==4.24.3
@@ -158,21 +146,15 @@ 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
     #   python-dateutil
     #   querystring-parser
-slicer==0.0.7
-    # via shap
 smmap==5.0.1
     # via gitdb
 sqlalchemy==1.4.49
@@ -187,8 +169,6 @@ tenacity==8.2.3
     # via -r requirements.in
 threadpoolctl==3.2.0
     # via scikit-learn
-tqdm==4.66.1
-    # via shap
 typing-extensions==4.8.0
     # via alembic
 urllib3==1.26.16