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.
|
Classes
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,
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 |