| 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 |