Stay organized with collections
Save and categorize content based on your preferences.
This page describes how to invoke predictions using functions from the public and google_ml namespaces. The google_ml_integration extension includes prediction functions for these namespaces.
You can use the ml_predict_row() function in the public schema with any generic model hosted in Vertex AI without registering the endpoint. The google_ml.predict_row() function in the google_ml schema can be used with any model that has been registered with Model endpoint management.
To invoke predictions, select one of the following schemas.
[[["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 2025-09-09 UTC."],[],[],null,[]]