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test / run.sh

Configure MLflow server with S3 + NeonDB

67d8036 about 1 year ago

224 Bytes

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

	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