PredictResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)Response message for PredictionService.Predict.
Attributes
| Name | Description |
| payload |
Sequence[google.cloud.automl_v1.types.AnnotationPayload]
Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload. |
| preprocessed_input |
google.cloud.automl_v1.types.ExamplePayload
The preprocessed example that AutoML actually makes prediction on. Empty if AutoML does not preprocess the input example. For AutoML Natural Language (Classification, Entity Extraction, and Sentiment Analysis), if the input is a document, the recognized text is returned in the document_text property. |
| metadata |
Sequence[google.cloud.automl_v1.types.PredictResponse.MetadataEntry]
Additional domain-specific prediction response metadata. AutoML Vision Object Detection ``max_bounding_box_count`` : (int64) The maximum number of bounding boxes to return per image. AutoML Natural Language Sentiment Analysis ``sentiment_score`` : (float, deprecated) A value between -1 and 1, -1 maps to least positive sentiment, while 1 maps to the most positive one and the higher the score, the more positive the sentiment in the document is. Yet these values are relative to the training data, so e.g. if all data was positive then -1 is also positive (though the least). ``sentiment_score`` is not the same as "score" and "magnitude" from Sentiment Analysis in the Natural Language API. |
Inheritance
builtins.object > proto.message.Message > PredictResponseClasses
MetadataEntry
MetadataEntry(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 |