Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsVideoActionMetrics
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsVideoActionMetrics
- 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
The Evaluation metrics given a specific precision_window_length.
Instance Attribute Summary collapse
-
#confidence_metrics ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsVideoActionMetricsConfidenceMetrics>
Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96, 0.97,0.98,0.99.
-
#mean_average_precision ⇒ Float
The mean average precision.
-
#precision_window_length ⇒ String
This VideoActionMetrics is calculated based on this prediction window length.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsVideoActionMetrics
constructor
A new instance of GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsVideoActionMetrics.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsVideoActionMetrics
Returns a new instance of GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsVideoActionMetrics.
16779 16780 16781 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 16779 def initialize(**args) update!(**args) end |
Instance Attribute Details
#confidence_metrics ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsVideoActionMetricsConfidenceMetrics>
Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,
0.97,0.98,0.99.
Corresponds to the JSON property confidenceMetrics
16764 16765 16766 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 16764 def confidence_metrics @confidence_metrics end |
#mean_average_precision ⇒ Float
The mean average precision.
Corresponds to the JSON property meanAveragePrecision
16769 16770 16771 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 16769 def mean_average_precision @mean_average_precision end |
#precision_window_length ⇒ String
This VideoActionMetrics is calculated based on this prediction window length.
If the predicted action's timestamp is inside the time window whose center is
the ground truth action's timestamp with this specific length, the prediction
result is treated as a true positive.
Corresponds to the JSON property precisionWindowLength
16777 16778 16779 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 16777 def precision_window_length @precision_window_length end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
16784 16785 16786 16787 16788 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 16784 def update!(**args) @confidence_metrics = args[:confidence_metrics] if args.key?(:confidence_metrics) @mean_average_precision = args[:mean_average_precision] if args.key?(:mean_average_precision) @precision_window_length = args[:precision_window_length] if args.key?(:precision_window_length) end |