The Models page displays the user models and the list of deployed models. User Model lists the models in a user's schema, and Deployments lists the models deployed to Oracle Machine Learning Services.

User Models

In the User Models view, you can browse, view, and deploy models. The User Models view lists the models that are available in the database schema:

Figure 8-1 User Models

• Name: Displays the model name. Model names can be any valid database object name.
• Owner: Displays the user who built the model.
• Algorithm: Displays the name of the algorithm used.
• Creation Date: Displays the date on which the model is built.
• Target: Displays the prediction target selected when the experiment is created.

You can perform the following tasks:

• Deploy: To deploy a model, select the model and click Deploy.
• Delete: To delete a model, select the model and click Delete.

Deployments

In the Deployments view, you can view the list of all the deployed models. Here, you can view the model metadata, view the REST API URI of the deployed models, and also delete any deployed model.

To delete a deployed model, select the model and click Delete.

Figure 8-2 Deployed Models

The following information are displayed for each deployed model:

• Name: The name of the deployed model.
• Shared: Allows users in the same PDB to use the model.
• Version: Displays the model version.
• Namespace: Displays the model namespace.
• Owner: The name of the user who deployed the model.
• Deployed Date: Displays the date of model deployment.

  Note:

  You cannot re-deploy the same model. However, you can create a new version of the model and deploy it. You can then track the model based on the version.
• URI: Displays the URI name. Click on the URI link to view the REST API URI of the model.

  Figure 8-3 REST API Specifications of a Deployed Model

  

• Deploy Model
  When you deploy a model, you create an Oracle Machine Learning Services endpoint for scoring.