Class PredictRequest (2.8.3)

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PredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Request message for PredictionService.Predict.

Attributes

NameDescription
name str
Required. Name of the model requested to serve the prediction.
payload google.cloud.automl_v1.types.ExamplePayload
Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve.
params Mapping[str, str]
Additional domain-specific parameters, any string must be up to 25000 characters long. AutoML Vision Classification score_threshold : (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5. AutoML Vision Object Detection score_threshold : (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. max_bounding_box_count : (int64) The maximum number of bounding boxes returned. The default is 100. The number of returned bounding boxes might be limited by the server. AutoML Tables feature_importance : (boolean) Whether feature_importance is populated in the returned list of TablesAnnotation objects. The default is false.

Inheritance

builtins.object > proto.message.Message > PredictRequest

Classes

ParamsEntry

ParamsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)

The abstract base class for a message.

Parameters
NameDescription
kwargs dict

Keys and values corresponding to the fields of the message.

mapping Union[dict, .Message]

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 mapping is a mapping type or there are keyword parameters.