Class PredictResponse (2.2.0)

PredictResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Response message for PredictionService.Predict.

Attributes

Name	Description
`payload`	`Sequence[.annotation_payload.AnnotationPayload]` Prediction result. Translation and Text Sentiment will return precisely one payload.
`preprocessed_input`	`.data_items.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`	`Sequence[.prediction_service.PredictResponse.MetadataEntry]` 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.

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, .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.