feat: add mlflow and lightbm model

docker-compose.yaml

@@ -3,6 +3,7 @@ x-dagster: &dagster-common
   env_file: .env
   environment:
     DAGSTER_HOME: /app/dagster_home
+    MLFLOW_TRACKING_URI: http://mlflow:5000
   depends_on:
     postgres:
       condition: service_healthy
@@ -95,6 +96,22 @@ services:
       postgres:
         condition: service_healthy
 
+  # MLflow experiment tracking server
+  mlflow:
+    image: python:3.12-slim
+    container_name: mlflow
+    restart: unless-stopped
+    env_file: .env
+    entrypoint: ["sh", "/mlflow/start.sh"]
+    volumes:
+      - mlflow-artifacts:/mlflow/artifacts
+      - ./mlflow/start.sh:/mlflow/start.sh:ro
+    ports:
+      - "5000:5000"
+    depends_on:
+      postgres:
+        condition: service_healthy
+
   # Elementary data observability report
   elementary-web:
     image: nginx:alpine
@@ -111,3 +128,4 @@ volumes:
   dbt-target:
   pgadmin-data:
   elementary-reports:
+  mlflow-artifacts: