Class: Google::Cloud::AutoML::V1beta1::PredictRequest

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/automl/v1beta1/prediction_service.rb

Overview

Request message for PredictionService.Predict.

Defined Under Namespace

Classes: ParamsEntry

Instance Attribute Summary collapse

Instance Attribute Details

#name ⇒ ::String

Returns Required. Name of the model requested to serve the prediction.

Returns:

  • (::String) —

    Required. Name of the model requested to serve the prediction.



54
55
56
57
58
59
60
61
62
63
64
65
66
 
# File 'proto_docs/google/cloud/automl/v1beta1/prediction_service.rb', line 54

class PredictRequest
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class ParamsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#params ⇒ ::Google::Protobuf::Map{::String => ::String}

Returns Additional domain-specific parameters, any string must be up to 25000 characters long.

  • For Image Classification:

score_threshold - (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5.

  • For Image Object Detection: score_threshold - (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. max_bounding_box_count - (int64) No more than this number of bounding boxes will be returned in the response. Default is 100, the requested value may be limited by server.
    • For Tables: feature_importance - (boolean) Whether feature importance should be populated in the returned TablesAnnotation. The default is false.

Returns:

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

    Additional domain-specific parameters, any string must be up to 25000 characters long.

    • For Image Classification:

    score_threshold - (float) A value from 0.0 to 1.0. When the model makes predictions for an image, it will only produce results that have at least this confidence score. The default is 0.5.

    • For Image Object Detection: score_threshold - (float) When Model detects objects on the image, it will only produce bounding boxes which have at least this confidence score. Value in 0 to 1 range, default is 0.5. max_bounding_box_count - (int64) No more than this number of bounding boxes will be returned in the response. Default is 100, the requested value may be limited by server.
      • For Tables: feature_importance - (boolean) Whether feature importance should be populated in the returned TablesAnnotation. The default is false.


54
55
56
57
58
59
60
61
62
63
64
65
66
 
# File 'proto_docs/google/cloud/automl/v1beta1/prediction_service.rb', line 54

class PredictRequest
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class ParamsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end

#payload ⇒ ::Google::Cloud::AutoML::V1beta1::ExamplePayload

Returns Required. Payload to perform a prediction on. The payload must match the problem type that the model was trained to solve.

Returns:



54
55
56
57
58
59
60
61
62
63
64
65
66
 
# File 'proto_docs/google/cloud/automl/v1beta1/prediction_service.rb', line 54

class PredictRequest
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # @!attribute [rw] key
  #   @return [::String]
  # @!attribute [rw] value
  #   @return [::String]
  class ParamsEntry
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end
end