BigQuery ML and Model Registry

BigQuery ML is a Google Cloud service that lets you create and execute machine learning models in BigQuery ML by using standard SQL queries. With Vertex AI, you can use pre-trained and custom tooling within a unified platform. After you register your BigQuery ML models in the Model Registry, you can manage them with your other ML models for versioning, evaluation, and deployment.

With this integration, you can choose which BigQuery ML models to register to the Model Registry. After you've registered your BigQuery ML models, you can deploy your BigQuery ML model to an endpoint for online inference.

To learn how to integrate your BigQuery ML models with Vertex AI Model Registry, see Manage BigQuery ML models in Vertex AI.

Limitations

• You can't register remote models.

• The following models can be registered in Model Registry, but they can't be deployed in Vertex AI:

  • Imported XGBoost models
  • ARIMA_PLUS models
  • ARIMA_PLUS_XREG models