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BigQuery ML is a Google Cloud
service
which 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 all within a unified platform. When you register your
BigQuery ML models in the Model Registry, you can
manage them alongside your other ML models to easily version, evaluate,
and deploy for prediction.
With this integration, you can choose which BigQuery ML models to
register to the Model Registry.
Once registered, you can deploy your BigQuery ML model to an endpoint
for online prediction.
From BigQuery ML you can register:
BigQuery ML built-in models
BigQuery ML TensorFlow models
While BigQuery ML XGboost and ARIMA_PLUS models can be
registered in Vertex AI Model Registry, they can't be deployed.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-01-30 UTC."],[],[]]