feat(ml): enregistrer le modèle dans le MLflow Model Registry

ml/docker-compose.mlflow.yml

@@ -0,0 +1,33 @@
+services:
+  mlflow-db:
+    image: postgres:16
+    environment:
+      POSTGRES_USER: mlflow
+      POSTGRES_PASSWORD: mlflow
+      POSTGRES_DB: mlflow
+    volumes:
+      - mlflow-db-data:/var/lib/postgresql/data
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U mlflow"]
+      interval: 5s
+      retries: 10
+
+  mlflow:
+    build: .
+    depends_on:
+      mlflow-db:
+        condition: service_healthy
+    ports:
+      - "5000:5000"
+    volumes:
+      - mlflow-artifacts:/mlartifacts
+    command: >
+      mlflow server
+      --host 0.0.0.0 --port 5000
+      --backend-store-uri postgresql://mlflow:mlflow@mlflow-db:5432/mlflow
+      --artifacts-destination /mlartifacts
+      --serve-artifacts
+
+volumes:
+  mlflow-db-data:
+  mlflow-artifacts: