Upgrade mlflow to 3.12.0

.github/dependabot.yml

@@ -6,7 +6,7 @@ updates:
       interval: "monthly"
     ignore:
       - dependency-name: "mlflow"
-        versions: [">= 3.8"]
+        versions: [">= 3.13"]
     groups:
       all-dependencies:
         patterns:

Dockerfile.mlflow

@@ -1,7 +1,7 @@
-FROM ghcr.io/mlflow/mlflow:v3.7.0
+FROM ghcr.io/mlflow/mlflow:v3.12.0
 
 # The base image does not include various dependencies that are needed for
 # the MLflow server. We assume a postgres backend, so we need psycopg2.
 # We also need boto3 for S3 support, and google-cloud-storage for GCS support.
-RUN pip install mlflow[auth]==3.7.0 psycopg2-binary==2.9.11 boto3==1.42.51 \
+RUN pip install mlflow[auth]==3.12.0 psycopg2-binary==2.9.11 boto3==1.42.51 \
     google-cloud-storage==3.9.0

pyproject.toml

@@ -23,7 +23,7 @@ dependencies = [
     "pandas>=2.2.2,<4",
     "modelbench[composer] @ git+https://github.com/mlcommons/modelbench.git",
     # the below 4 are tied to the Dockerfile.mlflow versions; need to be upgraded together
-    "mlflow[auth]==3.7.0",
+    "mlflow[auth]==3.12.0",
     "psycopg2-binary==2.9.11",
     "boto3==1.42.51",
     "google-cloud-storage==3.9.0",