Package com.google.cloud.datalabeling.v1beta1

Interface PrCurve.ConfidenceMetricsEntryOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
PrCurve.ConfidenceMetricsEntry, PrCurve.ConfidenceMetricsEntry.Builder
Enclosing class:
PrCurve
public static interface PrCurve.ConfidenceMetricsEntryOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    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 Details

    • 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.