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_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 |
MutableMapping[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.
|
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 |