sachua / mlflow-docker-compose

MLflow deployment with 1 command

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Cannot use mlflow.log_artifacts to upload to mlflow tracking server

anhquan075 opened this issue · comments

I've deployed a mlflow tracking server by using this repo. This works like a charm but when I use mlflow.log_artifacts to upload to the tracking servers, I faced this issue. Can anyone fix this bug, please?
image

Can you check if you specified your MinIO credentials?
Your output looks like Jupyter Notebook, maybe you can try running this in a cell:

%%capture
!pip install --upgrade pip --user
!pip install mlflow[extras] --user
%env MLFLOW_TRACKING_URI=http://host:port
%env MLFLOW_S3_ENDPOINT_URL=http://host:port
%env AWS_ACCESS_KEY_ID=minio
%env AWS_SECRET_ACCESS_KEY=minio123