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.
|
Classes
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,
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 |