Cloud AutoML V1 API - Class Google::Cloud::AutoML::V1::PredictResponse (v0.9.2)

Version 0.9.2

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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}

Returns

• (::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_score is not the same as "score" and "magnitude" from Sentiment Analysis in the Natural Language API.

#metadata=

def metadata=(value) -> ::Google::Protobuf::Map{::String => ::String}

Parameter

• 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_score is not the same as "score" and "magnitude" from Sentiment Analysis in the Natural Language API.

Returns

• (::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_score is not the same as "score" and "magnitude" from Sentiment Analysis in the Natural Language API.

#payload

def payload() -> ::Array<::Google::Cloud::AutoML::V1::AnnotationPayload>

Returns

• (::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>

Parameter

• value (::Array<::Google::Cloud::AutoML::V1::AnnotationPayload>) — Prediction result. AutoML Translation and AutoML Natural Language Sentiment Analysis return precisely one payload.

Returns

• (::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

Returns

• (::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

Parameter

• 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.

Returns

• (::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.