How to Stop MLflow Server
To stop MLflow server, you need to follow these steps:
- Open a command prompt or terminal on your machine.
-
Navigate to the directory where you have MLflow installed. For example, if you installed MLflow via pip, you can use the following command:
$ cd /path/to/mlflow
-
Once you are in the MLflow directory, you can stop the server using the appropriate command based on your setup. Here are a few examples:
-
If you started the server with the “mlflow server” command:
$ mlflow server stop
-
If you started the server with the “mlflow server –backend-store-uri” command and specified a tracking URI:
$ mlflow server stop --backend-store-uri sqlite:///mlflow.db
Replace “sqlite:///mlflow.db” with the actual tracking URI you used.
-
If you started the server using Docker:
$ docker stop mlflow
This assumes that the name of the running container is “mlflow”. If you named it differently, replace “mlflow” accordingly.
-
If you started the server with the “mlflow server” command:
- After executing the appropriate stop command, the MLflow server will be terminated, and you will no longer be able to access it.
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