Class PrCurve.ConfidenceMetricsEntry.Builder

public static final class PrCurve.ConfidenceMetricsEntry.Builder extends GeneratedMessageV3.Builder<PrCurve.ConfidenceMetricsEntry.Builder> implements PrCurve.ConfidenceMetricsEntryOrBuilder

Protobuf type google.cloud.datalabeling.v1beta1.PrCurve.ConfidenceMetricsEntry

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public PrCurve.ConfidenceMetricsEntry.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder
Overrides

build()

public PrCurve.ConfidenceMetricsEntry build()
Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry

buildPartial()

public PrCurve.ConfidenceMetricsEntry buildPartial()
Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry

clear()

public PrCurve.ConfidenceMetricsEntry.Builder clear()
Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder
Overrides

clearConfidenceThreshold()

public PrCurve.ConfidenceMetricsEntry.Builder clearConfidenceThreshold()

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.

float confidence_threshold = 1;

Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

This builder for chaining.

clearF1Score()

public PrCurve.ConfidenceMetricsEntry.Builder clearF1Score()

Harmonic mean of recall and precision.

float f1_score = 4;

Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

This builder for chaining.

clearF1ScoreAt1()

public PrCurve.ConfidenceMetricsEntry.Builder clearF1ScoreAt1()

The harmonic mean of recall_at1 and precision_at1.

float f1_score_at1 = 7;

Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

This builder for chaining.

clearF1ScoreAt5()

public PrCurve.ConfidenceMetricsEntry.Builder clearF1ScoreAt5()

The harmonic mean of recall_at5 and precision_at5.

float f1_score_at5 = 10;

Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public PrCurve.ConfidenceMetricsEntry.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
NameDescription
fieldFieldDescriptor
Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder
Overrides

clearOneof(Descriptors.OneofDescriptor oneof)

public PrCurve.ConfidenceMetricsEntry.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder
Overrides

clearPrecision()

public PrCurve.ConfidenceMetricsEntry.Builder clearPrecision()

Precision value.

float precision = 3;

Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

This builder for chaining.

clearPrecisionAt1()

public PrCurve.ConfidenceMetricsEntry.Builder clearPrecisionAt1()

Precision value for entries with label that has highest score.

float precision_at1 = 6;

Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

This builder for chaining.

clearPrecisionAt5()

public PrCurve.ConfidenceMetricsEntry.Builder clearPrecisionAt5()

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

float precision_at5 = 9;

Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

This builder for chaining.

clearRecall()

public PrCurve.ConfidenceMetricsEntry.Builder clearRecall()

Recall value.

float recall = 2;

Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

This builder for chaining.

clearRecallAt1()

public PrCurve.ConfidenceMetricsEntry.Builder clearRecallAt1()

Recall value for entries with label that has highest score.

float recall_at1 = 5;

Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

This builder for chaining.

clearRecallAt5()

public PrCurve.ConfidenceMetricsEntry.Builder clearRecallAt5()

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

float recall_at5 = 8;

Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

This builder for chaining.

clone()

public PrCurve.ConfidenceMetricsEntry.Builder clone()
Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder
Overrides

getConfidenceThreshold()

public 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) threshold for the context of this point on the PR curve.

float confidence_threshold = 1;

Returns
TypeDescription
float

The confidenceThreshold.

getDefaultInstanceForType()

public PrCurve.ConfidenceMetricsEntry getDefaultInstanceForType()
Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
Descriptor
Overrides

getF1Score()

public float getF1Score()

Harmonic mean of recall and precision.

float f1_score = 4;

Returns
TypeDescription
float

The f1Score.

getF1ScoreAt1()

public float getF1ScoreAt1()

The harmonic mean of recall_at1 and precision_at1.

float f1_score_at1 = 7;

Returns
TypeDescription
float

The f1ScoreAt1.

getF1ScoreAt5()

public float getF1ScoreAt5()

The harmonic mean of recall_at5 and precision_at5.

float f1_score_at5 = 10;

Returns
TypeDescription
float

The f1ScoreAt5.

getPrecision()

public float getPrecision()

Precision value.

float precision = 3;

Returns
TypeDescription
float

The precision.

getPrecisionAt1()

public float getPrecisionAt1()

Precision value for entries with label that has highest score.

float precision_at1 = 6;

Returns
TypeDescription
float

The precisionAt1.

getPrecisionAt5()

public float getPrecisionAt5()

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

float precision_at5 = 9;

Returns
TypeDescription
float

The precisionAt5.

getRecall()

public float getRecall()

Recall value.

float recall = 2;

Returns
TypeDescription
float

The recall.

getRecallAt1()

public float getRecallAt1()

Recall value for entries with label that has highest score.

float recall_at1 = 5;

Returns
TypeDescription
float

The recallAt1.

getRecallAt5()

public float getRecallAt5()

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

float recall_at5 = 8;

Returns
TypeDescription
float

The recallAt5.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

mergeFrom(PrCurve.ConfidenceMetricsEntry other)

public PrCurve.ConfidenceMetricsEntry.Builder mergeFrom(PrCurve.ConfidenceMetricsEntry other)
Parameter
NameDescription
otherPrCurve.ConfidenceMetricsEntry
Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public PrCurve.ConfidenceMetricsEntry.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder
Overrides Exceptions
TypeDescription
IOException

mergeFrom(Message other)

public PrCurve.ConfidenceMetricsEntry.Builder mergeFrom(Message other)
Parameter
NameDescription
otherMessage
Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final PrCurve.ConfidenceMetricsEntry.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder
Overrides

setConfidenceThreshold(float value)

public PrCurve.ConfidenceMetricsEntry.Builder setConfidenceThreshold(float value)

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.

float confidence_threshold = 1;

Parameter
NameDescription
valuefloat

The confidenceThreshold to set.

Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

This builder for chaining.

setF1Score(float value)

public PrCurve.ConfidenceMetricsEntry.Builder setF1Score(float value)

Harmonic mean of recall and precision.

float f1_score = 4;

Parameter
NameDescription
valuefloat

The f1Score to set.

Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

This builder for chaining.

setF1ScoreAt1(float value)

public PrCurve.ConfidenceMetricsEntry.Builder setF1ScoreAt1(float value)

The harmonic mean of recall_at1 and precision_at1.

float f1_score_at1 = 7;

Parameter
NameDescription
valuefloat

The f1ScoreAt1 to set.

Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

This builder for chaining.

setF1ScoreAt5(float value)

public PrCurve.ConfidenceMetricsEntry.Builder setF1ScoreAt5(float value)

The harmonic mean of recall_at5 and precision_at5.

float f1_score_at5 = 10;

Parameter
NameDescription
valuefloat

The f1ScoreAt5 to set.

Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public PrCurve.ConfidenceMetricsEntry.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder
Overrides

setPrecision(float value)

public PrCurve.ConfidenceMetricsEntry.Builder setPrecision(float value)

Precision value.

float precision = 3;

Parameter
NameDescription
valuefloat

The precision to set.

Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

This builder for chaining.

setPrecisionAt1(float value)

public PrCurve.ConfidenceMetricsEntry.Builder setPrecisionAt1(float value)

Precision value for entries with label that has highest score.

float precision_at1 = 6;

Parameter
NameDescription
valuefloat

The precisionAt1 to set.

Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

This builder for chaining.

setPrecisionAt5(float value)

public PrCurve.ConfidenceMetricsEntry.Builder setPrecisionAt5(float value)

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

float precision_at5 = 9;

Parameter
NameDescription
valuefloat

The precisionAt5 to set.

Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

This builder for chaining.

setRecall(float value)

public PrCurve.ConfidenceMetricsEntry.Builder setRecall(float value)

Recall value.

float recall = 2;

Parameter
NameDescription
valuefloat

The recall to set.

Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

This builder for chaining.

setRecallAt1(float value)

public PrCurve.ConfidenceMetricsEntry.Builder setRecallAt1(float value)

Recall value for entries with label that has highest score.

float recall_at1 = 5;

Parameter
NameDescription
valuefloat

The recallAt1 to set.

Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

This builder for chaining.

setRecallAt5(float value)

public PrCurve.ConfidenceMetricsEntry.Builder setRecallAt5(float value)

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

float recall_at5 = 8;

Parameter
NameDescription
valuefloat

The recallAt5 to set.

Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder

This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public PrCurve.ConfidenceMetricsEntry.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
NameDescription
fieldFieldDescriptor
indexint
valueObject
Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final PrCurve.ConfidenceMetricsEntry.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
PrCurve.ConfidenceMetricsEntry.Builder
Overrides