PredictResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)Response message for PredictionService.Predict.
Attributes |
|
|---|---|
| Name | Description |
payload |
MutableSequence[google.cloud.automl_v1beta1.types.AnnotationPayload]
Prediction result. Translation and Text Sentiment will return precisely one payload. |
preprocessed_input |
google.cloud.automl_v1beta1.types.ExamplePayload
The preprocessed example that AutoML actually makes prediction on. Empty if AutoML does not preprocess the input example. - For Text Extraction: If the input is a .pdf file, the OCR'ed text will be provided in document_text. |
metadata |
MutableMapping[str, str]
Additional domain-specific prediction response metadata. - For Image Object Detection: max_bounding_box_count -
(int64) At most that many bounding boxes per image could
have been returned.
- For Text Sentiment: 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
will be also positive (though the least). The
sentiment_score shouldn't be confused with "score" or
"magnitude" from the previous Natural Language Sentiment
Analysis API.
|
Classes
MetadataEntry
MetadataEntry(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,
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 |