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

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

Request message for PredictionService.Predict.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#name

def name() -> ::String
Returns
  • (::String) — Required. Name of the model requested to serve the prediction.

#name=

def name=(value) -> ::String
Parameter
  • value (::String) — Required. Name of the model requested to serve the prediction.
Returns
  • (::String) — Required. Name of the model requested to serve the prediction.

#params

def params() -> ::Google::Protobuf::Map{::String => ::String}
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.

#params=

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

#payload

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

#payload=

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