Method: endpoints.predictLongRunning

Full name: projects.locations.endpoints.predictLongRunning

Endpoint

post https://{service-endpoint}/v1beta1/{endpoint}:predictLongRunning

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} or projects/{project}/locations/{location}/publishers/{publisher}/models/{model}

Request body

The request body contains data with the following structure:

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)

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

labels map (key: string, value: string)

Optional. The labels with user-defined metadata for the request. It is used for billing and reporting only.

label keys and values can be no longer than 63 characters (Unicode codepoints) and can only contain lowercase letters, numeric characters, underscores, and dashes. International characters are allowed. label values are optional. label keys must start with a letter.

Response body

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