Cloud AutoML V1beta1 API - Class Google::Cloud::AutoML::V1beta1::PredictResponse (v0.6.0)

Stay organized with collections Save and categorize content based on your preferences.

Reference documentation and code samples for the Cloud AutoML V1beta1 API class Google::Cloud::AutoML::V1beta1::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.

    • 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.

#metadata=

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

    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.

Returns
  • (::Google::Protobuf::Map{::String => ::String}) —

    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.

#payload

def payload() -> ::Array<::Google::Cloud::AutoML::V1beta1::AnnotationPayload>
Returns

#payload=

def payload=(value) -> ::Array<::Google::Cloud::AutoML::V1beta1::AnnotationPayload>
Parameter
Returns

#preprocessed_input

def preprocessed_input() -> ::Google::Cloud::AutoML::V1beta1::ExamplePayload
Returns

#preprocessed_input=

def preprocessed_input=(value) -> ::Google::Cloud::AutoML::V1beta1::ExamplePayload
Parameter
Returns