Replace ENDPOINT_NAME with the name of the
Endpoint definition file.
On the YAML file, manually delete the serviceRef object containing
the DeployedModel reference you deleted previously.
Save the changes on the YAML file.
Delete your model from the storage bucket. For more information about how to
delete objects from storage buckets, see Delete storage objects in projects.
[[["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 2025-03-25 UTC."],[[["Online Prediction is a Preview feature not recommended for production environments and lacks service-level agreements or technical support."],["Deleting an online prediction model involves removing the associated `DeployedModel` custom resource from the prediction cluster using `kubectl`."],["Depending on whether the `Endpoint` hosts other models, you must either delete the entire `Endpoint` custom resource or edit it to remove the deleted `DeployedModel`'s `serviceRef`."],["After removing the `DeployedModel` and adjusting the `Endpoint`, the final step is to delete the model from its storage bucket."]]],[]]