Class PredictRequest (2.7.3)

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`	`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.

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.