Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EvaluatedAnnotation

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb

Overview

True positive, false positive, or false negative. EvaluatedAnnotation is only available under ModelEvaluationSlice with slice of annotationSpec dimension.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1EvaluatedAnnotation

Returns a new instance of GoogleCloudAiplatformV1beta1EvaluatedAnnotation.



18674
18675
18676
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 18674

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#data_item_payload ⇒ Object

Output only. The data item payload that the Model predicted this EvaluatedAnnotation on. Corresponds to the JSON property dataItemPayload

Returns:

  • (Object) 


18622
18623
18624
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 18622

def data_item_payload
  @data_item_payload
end

#error_analysis_annotations ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ErrorAnalysisAnnotation>

Annotations of model error analysis results. Corresponds to the JSON property errorAnalysisAnnotations

Returns:



18627
18628
18629
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 18627

def error_analysis_annotations
  @error_analysis_annotations
end

#evaluated_data_item_view_id ⇒ String

Output only. ID of the EvaluatedDataItemView under the same ancestor ModelEvaluation. The EvaluatedDataItemView consists of all ground truths and predictions on data_item_payload. Corresponds to the JSON property evaluatedDataItemViewId

Returns:

  • (String) 


18634
18635
18636
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 18634

def evaluated_data_item_view_id
  @evaluated_data_item_view_id
end

#explanations ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EvaluatedAnnotationExplanation>

Explanations of predictions. Each element of the explanations indicates the explanation for one explanation Method. The attributions list in the EvaluatedAnnotationExplanation.explanation object corresponds to the predictions list. For example, the second element in the attributions list explains the second element in the predictions list. Corresponds to the JSON property explanations

Returns:



18643
18644
18645
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 18643

def explanations
  @explanations
end

#ground_truths ⇒ Array<Object>

Output only. The ground truth Annotations, i.e. the Annotations that exist in the test data the Model is evaluated on. For true positive, there is one and only one ground truth annotation, which matches the only prediction in predictions. For false positive, there are zero or more ground truth annotations that are similar to the only prediction in predictions, but not enough for a match. For false negative, there is one and only one ground truth annotation, which doesn't match any predictions created by the model. The schema of the ground truth is stored in ModelEvaluation.annotation_schema_uri Corresponds to the JSON property groundTruths

Returns:

  • (Array<Object>) 


18655
18656
18657
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 18655

def ground_truths
  @ground_truths
end

#predictions ⇒ Array<Object>

Output only. The model predicted annotations. For true positive, there is one and only one prediction, which matches the only one ground truth annotation in ground_truths. For false positive, there is one and only one prediction, which doesn't match any ground truth annotation of the corresponding data_item_view_id. For false negative, there are zero or more predictions which are similar to the only ground truth annotation in ground_truths but not enough for a match. The schema of the prediction is stored in ModelEvaluation. annotation_schema_uri Corresponds to the JSON property predictions

Returns:

  • (Array<Object>) 


18667
18668
18669
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 18667

def predictions
  @predictions
end

#type ⇒ String

Output only. Type of the EvaluatedAnnotation. Corresponds to the JSON property type

Returns:

  • (String) 


18672
18673
18674
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 18672

def type
  @type
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



18679
18680
18681
18682
18683
18684
18685
18686
18687
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 18679

def update!(**args)
  @data_item_payload = args[:data_item_payload] if args.key?(:data_item_payload)
  @error_analysis_annotations = args[:error_analysis_annotations] if args.key?(:error_analysis_annotations)
  @evaluated_data_item_view_id = args[:evaluated_data_item_view_id] if args.key?(:evaluated_data_item_view_id)
  @explanations = args[:explanations] if args.key?(:explanations)
  @ground_truths = args[:ground_truths] if args.key?(:ground_truths)
  @predictions = args[:predictions] if args.key?(:predictions)
  @type = args[:type] if args.key?(:type)
end