Managing a deployed model

Deployment management page

This page provides a detailed information about the selected deployed model. To access this page, navigate to Deployments and select a specific deployed model. Below you will find more information about the Overview and NLU Model Information sections.

Overview section

The Overview section shows the information on a selected deployment:

• Status: The status of the deployment. Available options are:

  • Running: The deployed model is up and running.

  • Stopped: The deployed model was stopped. This status is only available for Testing deployments.

  • Working: The deployment process is ongoing.

• Deployed by: The name of the user who deployed the mode.

• ID: The identification number of the deployment. To copy the ID to the clipboard, click the Copy icon.

• Name: The deployed model name.

• Group: Group of users who can use the application.

• Deployment Type: The type of the deployment, either Testing or Production.

• ORN: Omilia resource number generated for the deployed application

• Description: Description of the application if available.

• Authentication: Contains the App Token for API authentication. Click Copy Token to copy the token to the clipboard.

You can only modify the Name and Description fields. All the other fields cannot be changed.

NLU Model information

The NLU Model information displays information about the deployed model and the deployment history.

• Name: The name of the model used for the deployment.

• Domain: The knowledge area of the model used for the deployment.

• Language: The language of the model used for the deployment.

• Deployed On: The date and time of the deployment.

• Version: Machine Learning server version.

These fields cannot be modified.

You can also export your NLU model as a ZIP file by clicking the Download button.

To navigate to the model’s drill-down page, click the NLU Model button.

In this tab, you have the option to delete the selected deployment.

Caution! This action is permanent and cannot be undone. Before proceeding, we strongly recommend reviewing the detailed information on the the Deleting a deployed model page.