Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoActionMetrics
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoActionMetrics
- 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
The Evaluation metrics given a specific precision_window_length.
Instance Attribute Summary collapse
-
#confidence_metrics ⇒ Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoActionMetricsConfidenceMetrics>
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) ⇒ GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoActionMetrics
constructor
A new instance of GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoActionMetrics.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoActionMetrics
Returns a new instance of GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoActionMetrics.
16015 16016 16017 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 16015 def initialize(**args) update!(**args) end |
Instance Attribute Details
#confidence_metrics ⇒ Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaModelevaluationMetricsVideoActionMetricsConfidenceMetrics>
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
16000 16001 16002 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 16000 def confidence_metrics @confidence_metrics end |
#mean_average_precision ⇒ Float
The mean average precision.
Corresponds to the JSON property meanAveragePrecision
16005 16006 16007 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 16005 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
16013 16014 16015 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 16013 def precision_window_length @precision_window_length end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
16020 16021 16022 16023 16024 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 16020 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 |