Method: projects.locations.endpoints.predict

Perform an online prediction.

HTTP request

POST https://{service-endpoint}/v1/{endpoint}:predict

Where {service-endpoint} is one of the supported service endpoints.

Path parameters

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:

JSON representation 
{
  "instances": [
    value
  ],
  "parameters": value
}
Fields
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)

The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' Model's PredictSchemata's parametersSchemaUri.

Response body

If successful, the response body contains an instance of PredictResponse.

Authorization scopes

Requires the following OAuth scope:

  • https://www.googleapis.com/auth/cloud-platform

For more information, see the Authentication Overview.

IAM Permissions

Requires the following IAM permission on the endpoint resource:

  • aiplatform.endpoints.predict

For more information, see the IAM documentation.