Registering and deploying models with Cloudera AI Registry

After you have set up Cloudera AI Registry, you can create, register, and deploy models with Cloudera AI Registry.

Creating a model using MLflow
You can use MLflow to create a model.
Registering a model using the Cloudera AI Registry user interface
You can register a model using the Cloudera 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.
Creating a new version of a registered model
Follow the instructions to create a new version of a registered model.
Deploying a model from the Cloudera 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 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.
Viewing Details for Cloudera AI Registry
You can view detailed information for Cloudera AI Registry.
Delete a model from Cloudera AI Registry
You can delete a model from Cloudera AI Registry through the UI or using an API call.
Disabling Cloudera AI Registry
By default, Cloudera AI Registry is enabled in Cloudera AI. You can disable Cloudera AI Registry if you do not want to use this feature.

Parent topic: Using Cloudera AI Registry