View Source GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetrics (google_api_ai_platform v0.13.0)

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

Attributes

confidenceMetrics (type: list(GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetricsConfidenceMetrics.t), default: nil) - 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.
iouThreshold (type: number(), default: nil) - The intersection-over-union threshold value used to compute this metrics entry.
meanAveragePrecision (type: number(), default: nil) - The mean average precision, most often close to auPrc.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

@type t() ::
  %GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetrics{
    confidenceMetrics:
      [
        GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsBoundingBoxMetricsConfidenceMetrics.t()
      ]
      | nil,
    iouThreshold: number() | nil,
    meanAveragePrecision: number() | nil
  }

Functions

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.