Reference documentation and code samples for the Cloud AutoML V1 API class Google::Cloud::AutoML::V1::PredictResponse.
Response message for PredictionService.Predict.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#metadata
def metadata() -> ::Google::Protobuf::Map{::String => ::String}-
(::Google::Protobuf::Map{::String => ::String}) — 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_scoreis not the same as "score" and "magnitude" from Sentiment Analysis in the Natural Language API.
#metadata=
def metadata=(value) -> ::Google::Protobuf::Map{::String => ::String}-
value (::Google::Protobuf::Map{::String => ::String}) — 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_scoreis not the same as "score" and "magnitude" from Sentiment Analysis in the Natural Language API.
-
(::Google::Protobuf::Map{::String => ::String}) — 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_scoreis not the same as "score" and "magnitude" from Sentiment Analysis in the Natural Language API.
#payload
def payload() -> ::Array<::Google::Cloud::AutoML::V1::AnnotationPayload>- (::Array<::Google::Cloud::AutoML::V1::AnnotationPayload>) — Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.
#payload=
def payload=(value) -> ::Array<::Google::Cloud::AutoML::V1::AnnotationPayload>- value (::Array<::Google::Cloud::AutoML::V1::AnnotationPayload>) — Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.
- (::Array<::Google::Cloud::AutoML::V1::AnnotationPayload>) — Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.
#preprocessed_input
def preprocessed_input() -> ::Google::Cloud::AutoML::V1::ExamplePayload-
(::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.
#preprocessed_input=
def preprocessed_input=(value) -> ::Google::Cloud::AutoML::V1::ExamplePayload-
value (::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.
-
(::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.