Skip to main content
Version: 6.1

Synchronizing an Algorithm

Algorithm synchronization prepares a working notebook in Jupyter for developing and debugging the algorithm in a deployment.

Open the Deployment Menu​

On the Deployed Images screen, open the ⋮ menu in the required deployment row. The menu contains the Go to Jupyter, Go to MLflow, Go to TensorBoard, Synchronize Algorithm, Update Status, and Delete actions.

note

The Go to Jupyter, Go to MLflow, and Go to TensorBoard actions are available only if the corresponding service is configured for the deployment.

Deployment menu

Synchronize the Algorithm​

Select Synchronize Algorithm. After synchronization starts, the Algorithm synchronization started notification appears.

Synchronization started

After synchronization, select Go to Jupyter to open the working notebook.

Next step: Training and Applying a Model.