You can download a template for bulk uploading your data labels before you design an ML App. Data labels that have been created or uploaded previously will be matched.

Keeping data labels clean is an essential recurring task to ensure your ML Apps serve the intended business objective.

Data labels can be edited within Data Library. First, from your Feature Store list in Data Labels, select the data label you want to edit. Next, click the pencil icon to open a modal to present the editable fields. It's important to note that all fields are editable if an ML App does not yet use a data label in an environment. However, if a data label is in use by an ML App in an environment, then only its description can be edited.

You may also find it useful with your team to manage whether or not a data label is visible when designing new ML Apps. To hide and unhide data labels in the design flow, select the data label you wish to manage in Data Library and update its visibility status.

SAVVI AI can help you quickly generate data label descriptions for your team to reference as they design and use ML Applications.