Service for performing CRUD operations on models.
Recommendation models contain all the metadata necessary to generate a set of
models for the Predict() api. A model is queried
indirectly via a ServingConfig, which associates a model with a
given Placement (e.g. Frequently Bought Together on Home Page).
This service allows customers to e.g.:
Initiate training of a model.
Pause training of an existing model.
List all the available models along with their metadata.
Update of model metadata. Only fields that
currently can be updated are: filtering_option, periodic_tuning_state.
If other values are provided, this API method will ignore them.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-16 UTC."],[],[]]