working cli

README.md

@@ -18,7 +18,6 @@ aws configure
 4. Create mlflow bucket
 
 ```shell
-npm i
 aws --endpoint-url=http://localhost:9000 s3 mb s3://mlflow
 ```
 
@@ -54,6 +53,7 @@ MLFLOW_S3_ENDPOINT_URL=http://localhost:9000/mlflow MLFLOW_TRACKING_URI=http://l
 Optionally you can run 
 ```shell
 MLFLOW_S3_ENDPOINT_URL=http://localhost:9000/mlflow MLFLOW_TRACKING_URI=http://localhost:5000 python ./quickstart/mlflow_tracking.py
+
 ```
 
 8. To make the setting permament move the MLFLOW_S3_ENDPOINT_URL and MLFLOW_TRACKING_URI into your .bashrc

docker-compose.yml

@@ -41,10 +41,10 @@ services:
           - AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID}
           - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY}
           - AWS_DEFAULT_REGION=${AWS_REGION}
+          - MLFLOW_S3_ENDPOINT_URL=http://localhost:9000
       networks:
           - A
-
-      entrypoint: mlflow server --backend-store-uri mysql+pymysql://${MYSQL_USER}:${MYSQL_PASSWORD}@db:3306/${MYSQL_DATABASE} --default-artifact-root http://localhost:9000/${AWS_BUCKET_NAME}/mlflow/ -h 0.0.0.0
+      entrypoint: mlflow server --backend-store-uri mysql+pymysql://${MYSQL_USER}:${MYSQL_PASSWORD}@db:3306/${MYSQL_DATABASE} --default-artifact-root s3://${AWS_BUCKET_NAME}/ -h 0.0.0.0
 networks:
     A:
         driver: bridge