View Source GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsTrackMetrics (google_api_ai_platform v0.24.0)

UNIMPLEMENTED. Track matching model metrics for a single track match threshold and multiple label match confidence thresholds.

Attributes

  • confidenceMetrics (type: list(GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsTrackMetricsConfidenceMetrics.t), default: nil) - Metrics for each label-match confidenceThreshold 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 between bounding boxes across frames used to compute this metric entry.
  • meanBoundingBoxIou (type: number(), default: nil) - The mean bounding box iou over all confidence thresholds.
  • meanMismatchRate (type: number(), default: nil) - The mean mismatch rate over all confidence thresholds.
  • meanTrackingAveragePrecision (type: number(), default: nil) - The mean average precision over all confidence thresholds.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

@type t() ::
  %GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsTrackMetrics{
    confidenceMetrics:
      [
        GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsTrackMetricsConfidenceMetrics.t()
      ]
      | nil,
    iouThreshold: number() | nil,
    meanBoundingBoxIou: number() | nil,
    meanMismatchRate: number() | nil,
    meanTrackingAveragePrecision: number() | nil
  }

Functions

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.