test / run.sh
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Configure MLflow server with S3 + NeonDB
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docker run -it\
-p 4000:4000\
-v "$(pwd):/home/app"\
-e APP_URI="APP_URI"\
-e PORT=4000\
-e AWS_ACCESS_KEY_ID="AWS_ACCESS_KEY_ID"\
-e AWS_SECRET_ACCESS_KEY="AWS_SECRET_ACCESS_KEY"\
sample-mlflow-server python train.py