Reference documentation and code samples for the Cloud AutoML V1 Client class PredictResponse.
Response message for PredictionService.Predict .
Generated from protobuf message google.cloud.automl.v1.PredictResponse
Namespace
Google \ Cloud \ AutoMl \ V1Methods
__construct
Constructor.
data
array
Optional. Data for populating the Message object.
↳ payload
array< Google\Cloud\AutoMl\V1\AnnotationPayload
>
Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.
↳ preprocessed_input
Google\Cloud\AutoMl\V1\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
array| Google\Protobuf\Internal\MapField
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.
getPayload
Prediction result.
AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.
setPayload
Prediction result.
AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.
$this
getPreprocessedInput
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.
hasPreprocessedInput
clearPreprocessedInput
setPreprocessedInput
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.
$this
getMetadata
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.
setMetadata
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.
$this
