Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetrics

Inherits:
Object
  • Object
show all
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

Bounding box matching model metrics for a single intersection-over-union threshold and multiple label match confidence thresholds.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetrics

Returns a new instance of GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetrics.



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19570

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

Instance Attribute Details

#confidence_metrics ⇒ Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetricsConfidenceMetrics>

Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96, 0.97,0.98,0.99. Precision-recall curve is derived from them. Corresponds to the JSON property confidenceMetrics

Returns:



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19558

def confidence_metrics
  @confidence_metrics
end

#iou_threshold ⇒ Float

The intersection-over-union threshold value used to compute this metrics entry. Corresponds to the JSON property iouThreshold

Returns:

  • (Float) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19563

def iou_threshold
  @iou_threshold
end

#mean_average_precision ⇒ Float

The mean average precision, most often close to auPrc. Corresponds to the JSON property meanAveragePrecision

Returns:

  • (Float) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19568

def mean_average_precision
  @mean_average_precision
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 19575

def update!(**args)
  @confidence_metrics = args[:confidence_metrics] if args.key?(:confidence_metrics)
  @iou_threshold = args[:iou_threshold] if args.key?(:iou_threshold)
  @mean_average_precision = args[:mean_average_precision] if args.key?(:mean_average_precision)
end