str
Required. The name of the Endpoint requested to serve the
prediction. Format:
projects/{project}/locations/{location}/endpoints/{endpoint}
http_body
google.api.httpbody_pb2.HttpBody
The prediction input. Supports HTTP headers and arbitrary
data payload.
A
DeployedModel
may have an upper limit on the number of instances it
supports per request. When this limit it is exceeded for an
AutoML model, the
RawPredict
method returns an error. When this limit is exceeded for a
custom-trained model, the behavior varies depending on the
model.
You can specify the schema for each instance in the
predict_schemata.instance_schema_uri
field when you create a
Model. This schema
applies when you deploy the Model as a DeployedModel
to an Endpoint
and use the RawPredict method.
[[["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 2026-05-16 UTC."],[],[]]