proto_docs/google/cloud/automl/v1beta1/prediction_service.rb in google-cloud-automl-v1beta1-0.1.0 vs proto_docs/google/cloud/automl/v1beta1/prediction_service.rb in google-cloud-automl-v1beta1-0.1.1

- old
+ new

@@ -19,20 +19,20 @@ module Google module Cloud module AutoML module V1beta1 - # Request message for {Google::Cloud::AutoML::V1beta1::PredictionService::Client#predict PredictionService.Predict}. + # Request message for {::Google::Cloud::AutoML::V1beta1::PredictionService::Client#predict PredictionService.Predict}. # @!attribute [rw] name - # @return [String] + # @return [::String] # Required. Name of the model requested to serve the prediction. # @!attribute [rw] payload - # @return [Google::Cloud::AutoML::V1beta1::ExamplePayload] + # @return [::Google::Cloud::AutoML::V1beta1::ExamplePayload] # Required. Payload to perform a prediction on. The payload must match the # problem type that the model was trained to solve. # @!attribute [rw] params - # @return [Google::Protobuf::Map{String => String}] + # @return [::Google::Protobuf::Map{::String => ::String}] # Additional domain-specific parameters, any string must be up to 25000 # characters long. # # * For Image Classification: # @@ -50,37 +50,37 @@ # * For Tables: # feature_imp<span>ortan</span>ce - (boolean) Whether feature importance # should be populated in the returned TablesAnnotation. # The default is false. class PredictRequest - include Google::Protobuf::MessageExts - extend Google::Protobuf::MessageExts::ClassMethods + include ::Google::Protobuf::MessageExts + extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key - # @return [String] + # @return [::String] # @!attribute [rw] value - # @return [String] + # @return [::String] class ParamsEntry - include Google::Protobuf::MessageExts - extend Google::Protobuf::MessageExts::ClassMethods + include ::Google::Protobuf::MessageExts + extend ::Google::Protobuf::MessageExts::ClassMethods end end - # Response message for {Google::Cloud::AutoML::V1beta1::PredictionService::Client#predict PredictionService.Predict}. + # Response message for {::Google::Cloud::AutoML::V1beta1::PredictionService::Client#predict PredictionService.Predict}. # @!attribute [rw] payload - # @return [Array<Google::Cloud::AutoML::V1beta1::AnnotationPayload>] + # @return [::Array<::Google::Cloud::AutoML::V1beta1::AnnotationPayload>] # Prediction result. # Translation and Text Sentiment will return precisely one payload. # @!attribute [rw] preprocessed_input - # @return [Google::Cloud::AutoML::V1beta1::ExamplePayload] + # @return [::Google::Cloud::AutoML::V1beta1::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 - # {Google::Cloud::AutoML::V1beta1::Document#document_text document_text}. + # {::Google::Cloud::AutoML::V1beta1::Document#document_text document_text}. # @!attribute [rw] metadata - # @return [Google::Protobuf::Map{String => String}] + # @return [::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. @@ -93,36 +93,36 @@ # 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. class PredictResponse - include Google::Protobuf::MessageExts - extend Google::Protobuf::MessageExts::ClassMethods + include ::Google::Protobuf::MessageExts + extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key - # @return [String] + # @return [::String] # @!attribute [rw] value - # @return [String] + # @return [::String] class MetadataEntry - include Google::Protobuf::MessageExts - extend Google::Protobuf::MessageExts::ClassMethods + include ::Google::Protobuf::MessageExts + extend ::Google::Protobuf::MessageExts::ClassMethods end end - # Request message for {Google::Cloud::AutoML::V1beta1::PredictionService::Client#batch_predict PredictionService.BatchPredict}. + # Request message for {::Google::Cloud::AutoML::V1beta1::PredictionService::Client#batch_predict PredictionService.BatchPredict}. # @!attribute [rw] name - # @return [String] + # @return [::String] # Required. Name of the model requested to serve the batch prediction. # @!attribute [rw] input_config - # @return [Google::Cloud::AutoML::V1beta1::BatchPredictInputConfig] + # @return [::Google::Cloud::AutoML::V1beta1::BatchPredictInputConfig] # Required. The input configuration for batch prediction. # @!attribute [rw] output_config - # @return [Google::Cloud::AutoML::V1beta1::BatchPredictOutputConfig] + # @return [::Google::Cloud::AutoML::V1beta1::BatchPredictOutputConfig] # Required. The Configuration specifying where output predictions should # be written. # @!attribute [rw] params - # @return [Google::Protobuf::Map{String => String}] + # @return [::Google::Protobuf::Map{::String => ::String}] # Required. Additional domain-specific parameters for the predictions, any string must # be up to 25000 characters long. # # * For Text Classification: # @@ -190,47 +190,47 @@ # value may be limited by server. # `min_bounding_box_size` - (float) Only bounding boxes with shortest edge # at least that long as a relative value of video frame size will be # returned. Value in 0 to 1 range. Default is 0. class BatchPredictRequest - include Google::Protobuf::MessageExts - extend Google::Protobuf::MessageExts::ClassMethods + include ::Google::Protobuf::MessageExts + extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key - # @return [String] + # @return [::String] # @!attribute [rw] value - # @return [String] + # @return [::String] class ParamsEntry - include Google::Protobuf::MessageExts - extend Google::Protobuf::MessageExts::ClassMethods + include ::Google::Protobuf::MessageExts + extend ::Google::Protobuf::MessageExts::ClassMethods end end # Result of the Batch Predict. This message is returned in - # {Google::Longrunning::Operation#response response} of the operation returned - # by the {Google::Cloud::AutoML::V1beta1::PredictionService::Client#batch_predict PredictionService.BatchPredict}. + # {::Google::Longrunning::Operation#response response} of the operation returned + # by the {::Google::Cloud::AutoML::V1beta1::PredictionService::Client#batch_predict PredictionService.BatchPredict}. # @!attribute [rw] metadata - # @return [Google::Protobuf::Map{String => String}] + # @return [::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 Video Object Tracking: # `max_bounding_box_count` - (int64) At most that many bounding boxes per # frame could have been returned. class BatchPredictResult - include Google::Protobuf::MessageExts - extend Google::Protobuf::MessageExts::ClassMethods + include ::Google::Protobuf::MessageExts + extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key - # @return [String] + # @return [::String] # @!attribute [rw] value - # @return [String] + # @return [::String] class MetadataEntry - include Google::Protobuf::MessageExts - extend Google::Protobuf::MessageExts::ClassMethods + include ::Google::Protobuf::MessageExts + extend ::Google::Protobuf::MessageExts::ClassMethods end end end end end