View Source GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsImageSegmentationEvaluationMetricsConfidenceMetricsEntry (google_api_ai_platform v0.24.0)

Attributes

  • confidenceThreshold (type: number(), default: nil) - Metrics are computed with an assumption that the model never returns predictions with score lower than this value.
  • confusionMatrix (type: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrix.t, default: nil) - Confusion matrix for the given confidence threshold.
  • diceScoreCoefficient (type: number(), default: nil) - DSC or the F1 score, The harmonic mean of recall and precision.
  • iouScore (type: number(), default: nil) - The intersection-over-union score. The measure of overlap of the annotation's category mask with ground truth category mask on the DataItem.
  • precision (type: number(), default: nil) - Precision for the given confidence threshold.
  • recall (type: number(), default: nil) - Recall (True Positive Rate) for the given confidence threshold.

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

t()

@type t() ::
  %GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsImageSegmentationEvaluationMetricsConfidenceMetricsEntry{
    confidenceThreshold: number() | nil,
    confusionMatrix:
      GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1SchemaModelevaluationMetricsConfusionMatrix.t()
      | nil,
    diceScoreCoefficient: number() | nil,
    iouScore: number() | nil,
    precision: number() | nil,
    recall: number() | nil
  }

Functions

decode(value, options)

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

Unwrap a decoded JSON object into its complex fields.