Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EvaluatedAnnotation
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EvaluatedAnnotation
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/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
-
#data_item_payload ⇒ Object
Output only.
-
#error_analysis_annotations ⇒ Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ErrorAnalysisAnnotation>
Annotations of model error analysis results.
-
#evaluated_data_item_view_id ⇒ String
Output only.
-
#explanations ⇒ Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EvaluatedAnnotationExplanation>
Explanations of predictions.
-
#ground_truths ⇒ Array<Object>
Output only.
-
#predictions ⇒ Array<Object>
Output only.
-
#type ⇒ String
Output only.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1EvaluatedAnnotation
constructor
A new instance of GoogleCloudAiplatformV1EvaluatedAnnotation.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1EvaluatedAnnotation
Returns a new instance of GoogleCloudAiplatformV1EvaluatedAnnotation.
4446 4447 4448 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4446 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
4394 4395 4396 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4394 def data_item_payload @data_item_payload end |
#error_analysis_annotations ⇒ Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ErrorAnalysisAnnotation>
Annotations of model error analysis results.
Corresponds to the JSON property errorAnalysisAnnotations
4399 4400 4401 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4399 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
4406 4407 4408 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4406 def evaluated_data_item_view_id @evaluated_data_item_view_id end |
#explanations ⇒ Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EvaluatedAnnotationExplanation>
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
4415 4416 4417 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4415 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
4427 4428 4429 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4427 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
4439 4440 4441 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4439 def predictions @predictions end |
#type ⇒ String
Output only. Type of the EvaluatedAnnotation.
Corresponds to the JSON property type
4444 4445 4446 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4444 def type @type end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
4451 4452 4453 4454 4455 4456 4457 4458 4459 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4451 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 |