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PredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Request message for PredictionService.Predict.
Attributes |
|
---|---|
Name | Description |
endpoint |
str
Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/{endpoint}
|
instances |
MutableSequence[google.protobuf.struct_pb2.Value]
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][google.cloud.aiplatform.v1beta1.DeployedModel.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] instance_schema_uri. |
parameters |
google.protobuf.struct_pb2.Value
The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1beta1.DeployedModel.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] parameters_schema_uri. |
Methods
PredictRequest
PredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Request message for PredictionService.Predict.