Class PredictRequest (2.11.4)

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`	`MutableMapping[str, str]` 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(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, .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.