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.
20920 20921 20922 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20920 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
20905 20906 20907 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20905 def confidence_metrics @confidence_metrics end |
#mean_average_precision ⇒ Float
The mean average precision.
Corresponds to the JSON property meanAveragePrecision
20910 20911 20912 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20910 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
20918 20919 20920 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20918 def precision_window_length @precision_window_length end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
20925 20926 20927 20928 20929 |
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 20925 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 |