Method: endpoints.predict
Full name: projects.locations.endpoints.predict
Perform an online prediction.
Endpoint
posthttps://{service-endpoint}/v1/{endpoint}:predict
Where {service-endpoint} is one of the supported service endpoints.
Path parameters
endpoint
string
Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/{endpoint}
Request body
The request body contains data with the following structure:
instances[]
value (
Value format)
Required. The instances that are the input to the prediction call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the prediction call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instanceSchemaUri.
parameters
value (
Value format)
labels
map (key: string, value: string)
Optional. The user labels for Imagen billing usage only. Only Imagen supports labels. For other use cases, it will be ignored.
Response body
If successful, the response body contains an instance of PredictResponse.