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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.v1.DeployedModel.model] [PredictSchemata's][google.cloud.aiplatform.v1.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.v1.DeployedModel.model] [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] parameters_schema_uri. |
labels |
MutableMapping[str, str]
Optional. The user labels for Imagen billing usage only. Only Imagen supports labels. For other use cases, it will be ignored. |
Classes
LabelsEntry
LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)The abstract base class for a message.
| Parameters | |
|---|---|
| Name | Description |
kwargs |
dict
Keys and values corresponding to the fields of the message. |
mapping |
Union[dict,
A dictionary or message to be used to determine the values for this message. |
ignore_unknown_fields |
Optional(bool)
If True, do not raise errors for unknown fields. Only applied if |
Methods
PredictRequest
PredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)Request message for PredictionService.Predict.