PredictRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)Request message for PredictionService.Predict.
Attributes
| Name | Description |
| name |
str
Required. Name of the model requested to serve the prediction. |
| payload |
google.cloud.automl_v1beta1.types.ExamplePayload
Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve. |
| params |
Sequence[google.cloud.automl_v1beta1.types.PredictRequest.ParamsEntry]
Additional domain-specific parameters, any string must be up to 25000 characters long. - For Image 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. - For Image 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) No more than this number of bounding boxes will be returned in the response. Default is 100, the requested value may be limited by server. - For Tables: feature_importance - (boolean) Whether feature importance should be populated in the returned TablesAnnotation. The default is false. |
Inheritance
builtins.object > proto.message.Message > PredictRequestClasses
ParamsEntry
ParamsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)The abstract base class for a message.
| Name | Description |
| 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 |