sachua / mlflow-docker-compose

MLflow deployment with 1 command

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

model deployment

StathisKap opened this issue · comments

Hello,

FIrst, of all I want to say that this a great repo. Thank you for making it very easy to use.

I wanted to say that themlflow models serve -m S3://mlflow/0/98bdf6ec158145908af39f86156c347f/artifacts/model -p 1234 didn't work for me unless I added --env-manager conda.

Also, I had to downgrade my python on the new env created by mlflow run https://github.com/mlflow/mlflow-example.git -P alpha=0.42.

Lastly, I couldn't get the curl request to work. It says that the scoring protocol has changed but I can't figure out what has it changed to. And I couldn't find a swagger or anything so not really sure what to do for the example one.

Thank you again for this. Great work

Hi, thanks for your feedback! I have updated the README.md. Unfortunately I cannot edit https://github.com/mlflow/mlflow-example.git, so I had to fork it and make my edits to the example, but it should work fine now.