Package com.google.cloud.datalabeling.v1beta1

Interface PrCurve.ConfidenceMetricsEntryOrBuilder

    • Method Summary

      All Methods Instance Methods Abstract Methods 
      Modifier and Type Method Description
      float getConfidenceThreshold()
      Threshold used for this entry.
      float getF1Score()
      Harmonic mean of recall and precision.
      float getF1ScoreAt1()
      The harmonic mean of [recall_at1][google.cloud.datalabeling.v1beta1.PrCurve.ConfidenceMetricsEntry.recall_at1] and [precision_at1][google.cloud.datalabeling.v1beta1.PrCurve.ConfidenceMetricsEntry.precision_at1].
      float getF1ScoreAt5()
      The harmonic mean of [recall_at5][google.cloud.datalabeling.v1beta1.PrCurve.ConfidenceMetricsEntry.recall_at5] and [precision_at5][google.cloud.datalabeling.v1beta1.PrCurve.ConfidenceMetricsEntry.precision_at5].
      float getPrecision()
      Precision value.
      float getPrecisionAt1()
      Precision value for entries with label that has highest score.
      float getPrecisionAt5()
      Precision value for entries with label that has highest 5 scores.
      float getRecall()
      Recall value.
      float getRecallAt1()
      Recall value for entries with label that has highest score.
      float getRecallAt5()
      Recall value for entries with label that has highest 5 scores.

      • Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

        isInitialized

      • Methods inherited from interface com.google.protobuf.MessageOrBuilder

        findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

    • Method Detail

      • getConfidenceThreshold

        float getConfidenceThreshold()
         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)](/vision/automl/object-detection/docs/evaluate#intersection-over-union)
 threshold for the context of this point on the PR curve.
        float confidence_threshold = 1;
        Returns:
        The confidenceThreshold.

      • getRecall

        float getRecall()
         Recall value.
        float recall = 2;
        Returns:
        The recall.

      • getPrecision

        float getPrecision()
         Precision value.
        float precision = 3;
        Returns:
        The precision.

      • getF1Score

        float getF1Score()
         Harmonic mean of recall and precision.
        float f1_score = 4;
        Returns:
        The f1Score.

      • getRecallAt1

        float getRecallAt1()
         Recall value for entries with label that has highest score.
        float recall_at1 = 5;
        Returns:
        The recallAt1.

      • getPrecisionAt1

        float getPrecisionAt1()
         Precision value for entries with label that has highest score.
        float precision_at1 = 6;
        Returns:
        The precisionAt1.

      • getF1ScoreAt1

        float getF1ScoreAt1()
         The harmonic mean of [recall_at1][google.cloud.datalabeling.v1beta1.PrCurve.ConfidenceMetricsEntry.recall_at1] and [precision_at1][google.cloud.datalabeling.v1beta1.PrCurve.ConfidenceMetricsEntry.precision_at1].
        float f1_score_at1 = 7;
        Returns:
        The f1ScoreAt1.

      • getRecallAt5

        float getRecallAt5()
         Recall value for entries with label that has highest 5 scores.
        float recall_at5 = 8;
        Returns:
        The recallAt5.

      • getPrecisionAt5

        float getPrecisionAt5()
         Precision value for entries with label that has highest 5 scores.
        float precision_at5 = 9;
        Returns:
        The precisionAt5.

      • getF1ScoreAt5

        float getF1ScoreAt5()
         The harmonic mean of [recall_at5][google.cloud.datalabeling.v1beta1.PrCurve.ConfidenceMetricsEntry.recall_at5] and [precision_at5][google.cloud.datalabeling.v1beta1.PrCurve.ConfidenceMetricsEntry.precision_at5].
        float f1_score_at5 = 10;
        Returns:
        The f1ScoreAt5.