GoogleApi.DataLabeling.V1beta1.Model.GoogleCloudDatalabelingV1beta1ConfidenceMetricsEntry (google_api_data_labeling v0.2.1) View Source
Attributes
-
confidenceThreshold
(type:number()
, default:nil
) - Threshold used for this entry. For classification tasks, this is a classification threshold: a predicted label is categorized as positive or negative (in the context of this point on the PR curve) based on whether the label's score meets this threshold. For image object detection (bounding box) tasks, this is the intersection-over-union (IOU) threshold for the context of this point on the PR curve. -
f1Score
(type:number()
, default:nil
) - Harmonic mean of recall and precision. -
f1ScoreAt1
(type:number()
, default:nil
) - The harmonic mean of recall_at1 and precision_at1. -
f1ScoreAt5
(type:number()
, default:nil
) - The harmonic mean of recall_at5 and precision_at5. -
precision
(type:number()
, default:nil
) - Precision value. -
precisionAt1
(type:number()
, default:nil
) - Precision value for entries with label that has highest score. -
precisionAt5
(type:number()
, default:nil
) - Precision value for entries with label that has highest 5 scores. -
recall
(type:number()
, default:nil
) - Recall value. -
recallAt1
(type:number()
, default:nil
) - Recall value for entries with label that has highest score. -
recallAt5
(type:number()
, default:nil
) - Recall value for entries with label that has highest 5 scores.
Link to this section Summary
Functions
Unwrap a decoded JSON object into its complex fields.
Link to this section Types
Specs
t() :: %GoogleApi.DataLabeling.V1beta1.Model.GoogleCloudDatalabelingV1beta1ConfidenceMetricsEntry{ confidenceThreshold: number(), f1Score: number(), f1ScoreAt1: number(), f1ScoreAt5: number(), precision: number(), precisionAt1: number(), precisionAt5: number(), recall: number(), recallAt1: number(), recallAt5: number() }
Link to this section Functions
Specs
Unwrap a decoded JSON object into its complex fields.