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 and Description
float	getConfidenceThreshold() Threshold used for this entry, for example, IoU threshold for bounding box problem, or detection threshold for classification.
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.MessageOrBuilder

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

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getConfidenceThreshold

float getConfidenceThreshold()

 Threshold used for this entry, for example, IoU threshold for bounding
 box problem, or detection threshold for classification.
 

float confidence_threshold = 1;

getRecall

float getRecall()

 Recall value.
 

float recall = 2;

getPrecision

float getPrecision()

 Precision value.
 

float precision = 3;

getF1Score

float getF1Score()

 Harmonic mean of recall and precision.
 

float f1_score = 4;

getRecallAt1

float getRecallAt1()

 Recall value for entries with label that has highest score.
 

float recall_at1 = 5;

getPrecisionAt1

float getPrecisionAt1()

 Precision value for entries with label that has highest score.
 

float precision_at1 = 6;

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;

getRecallAt5

float getRecallAt5()

 Recall value for entries with label that has highest 5 scores.
 

float recall_at5 = 8;

getPrecisionAt5

float getPrecisionAt5()

 Precision value for entries with label that has highest 5 scores.
 

float precision_at5 = 9;

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;