agent-platform-model-registry

You can manage machine learning models in the Agent Platform Model Registry by uploading, listing, describing, updating, and deleting them to efficiently streamline your model deployment lifecycle.

To access the Agent Platform Model Registry for model versioning, you need Google Cloud authentication and active access to the Agent Platform to perform management operations.

Yes, you can manage different versions of machine learning models and track changes directly within the Agent Platform to maintain organized model metadata and lifecycle updates.

You update model metadata during the machine learning deployment process by using the model management functions to modify existing registry entries and track lifecycle changes efficiently.

The best way to list all models in a machine learning model registry is to use the platform's built-in listing feature to retrieve and view all registered model entries.

Yes, the Agent Platform Model Registry supports deleting outdated machine learning models, allowing you to remove obsolete entries and maintain a clean, current model repository.