Registering and deploying models with AI Registry After you have set up AI Registry, you can create, register, and deploy models with AI Registry. Creating a model using MLflowYou can use MLflow to create a model. Registering a model using the AI Registry user interface You can register a model using the AI Registry user interface or the MLFlow SDK.Registering a model using MLflow SDK You can register a model using the user interface or the MLFlow SDK.Viewing registered model informationCreating a new version of a registered model Follow the instructions to create a new version of a registered model.Deploying a model from the AI Registry page You can deploy a model once or more times to create different versions of the model. You can also deploy a model you created in one workbench to a different workbench. Deploying a model from the destination Project page You can deploy a model one or more times to create different versions of the model. You can also deploy a model you created in one workbench to a different workbench. Viewing Details for AI Registry You can view detailed information for AI Registry. Delete a model from AI RegistryYou can delete a model from AI Registry through the UI or using an API call. Disabling AI Registry By default, AI Registry is enabled in Cloudera AI. You can disable AI Registry if you do not want to use this feature.Parent topic: Using AI Registry
