Managing Models at the Workspace Level

Viewing models

Use this procedure to view list of trained models generated in all the projects in a workspace. You can use the search option to look for model details you want.

To view models:

1. Select Artifacts & Models from the left navigation menu. The Artifacts tab is displayed.

2. Click the Models tab to view the list of models generated after running the machine learning pipeline in different projects.

3. Review this information:

   Name: The name of the machine learning training model.

   Created: The time stamp at which the model was generated.

   Source: The project in which this training model is generated.

Prediction service: Click the +Add to create a prediction service. To add a prediction service, see #creating-and-testing-a-prediction-service. `

Models List

Deleting a model

Use this procedure to delete a model.

To delete a model:

1. Click the Models tab to see the list.

2. Click the ellipses icon corresponding to the model you want to delete and then select DELETE.

   

   Delete Model

Note: You cannot delete the model that is created in a project, but can delete the models that are added manually.