Class BoundingBoxMetricsEntry.Builder (2.28.0)

Version 2.28.0

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public static final class BoundingBoxMetricsEntry.Builder extends GeneratedMessageV3.Builder<BoundingBoxMetricsEntry.Builder> implements BoundingBoxMetricsEntryOrBuilder

Bounding box matching model metrics for a single intersection-over-union threshold and multiple label match confidence thresholds.

Protobuf type google.cloud.automl.v1.BoundingBoxMetricsEntry

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > BoundingBoxMetricsEntry.Builder

Implements

BoundingBoxMetricsEntryOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

addAllConfidenceMetricsEntries(Iterable<? extends BoundingBoxMetricsEntry.ConfidenceMetricsEntry> values)

public BoundingBoxMetricsEntry.Builder addAllConfidenceMetricsEntries(Iterable<? extends BoundingBoxMetricsEntry.ConfidenceMetricsEntry> values)

Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Parameter
Name	Description
values	Iterable<? extends com.google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry>

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

addConfidenceMetricsEntries(BoundingBoxMetricsEntry.ConfidenceMetricsEntry value)

public BoundingBoxMetricsEntry.Builder addConfidenceMetricsEntries(BoundingBoxMetricsEntry.ConfidenceMetricsEntry value)

Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Parameter
Name	Description
value	BoundingBoxMetricsEntry.ConfidenceMetricsEntry

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

addConfidenceMetricsEntries(BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder builderForValue)

public BoundingBoxMetricsEntry.Builder addConfidenceMetricsEntries(BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder builderForValue)

Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Parameter
Name	Description
builderForValue	BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

addConfidenceMetricsEntries(int index, BoundingBoxMetricsEntry.ConfidenceMetricsEntry value)

public BoundingBoxMetricsEntry.Builder addConfidenceMetricsEntries(int index, BoundingBoxMetricsEntry.ConfidenceMetricsEntry value)

Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Parameters
Name	Description
index	int
value	BoundingBoxMetricsEntry.ConfidenceMetricsEntry

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

addConfidenceMetricsEntries(int index, BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder builderForValue)

public BoundingBoxMetricsEntry.Builder addConfidenceMetricsEntries(int index, BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder builderForValue)

Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Parameters
Name	Description
index	int
builderForValue	BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

addConfidenceMetricsEntriesBuilder()

public BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder addConfidenceMetricsEntriesBuilder()

Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Returns
Type	Description
BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder

addConfidenceMetricsEntriesBuilder(int index)

public BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder addConfidenceMetricsEntriesBuilder(int index)

Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Parameter
Name	Description
index	int

Returns
Type	Description
BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public BoundingBoxMetricsEntry.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public BoundingBoxMetricsEntry build()

Returns
Type	Description
BoundingBoxMetricsEntry

buildPartial()

public BoundingBoxMetricsEntry buildPartial()

Returns
Type	Description
BoundingBoxMetricsEntry

clear()

public BoundingBoxMetricsEntry.Builder clear()

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearConfidenceMetricsEntries()

public BoundingBoxMetricsEntry.Builder clearConfidenceMetricsEntries()

Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

clearField(Descriptors.FieldDescriptor field)

public BoundingBoxMetricsEntry.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearIouThreshold()

public BoundingBoxMetricsEntry.Builder clearIouThreshold()

Output only. The intersection-over-union threshold value used to compute this metrics entry.

float iou_threshold = 1;

Returns
Type	Description
BoundingBoxMetricsEntry.Builder	This builder for chaining.

clearMeanAveragePrecision()

public BoundingBoxMetricsEntry.Builder clearMeanAveragePrecision()

Output only. The mean average precision, most often close to au_prc.

float mean_average_precision = 2;

Returns
Type	Description
BoundingBoxMetricsEntry.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public BoundingBoxMetricsEntry.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clone()

public BoundingBoxMetricsEntry.Builder clone()

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getConfidenceMetricsEntries(int index)

public BoundingBoxMetricsEntry.ConfidenceMetricsEntry getConfidenceMetricsEntries(int index)

Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Parameter
Name	Description
index	int

Returns
Type	Description
BoundingBoxMetricsEntry.ConfidenceMetricsEntry

getConfidenceMetricsEntriesBuilder(int index)

public BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder getConfidenceMetricsEntriesBuilder(int index)

Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Parameter
Name	Description
index	int

Returns
Type	Description
BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder

getConfidenceMetricsEntriesBuilderList()

public List<BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder> getConfidenceMetricsEntriesBuilderList()

Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Returns
Type	Description
List<Builder>

getConfidenceMetricsEntriesCount()

public int getConfidenceMetricsEntriesCount()

Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Returns
Type	Description
int

getConfidenceMetricsEntriesList()

public List<BoundingBoxMetricsEntry.ConfidenceMetricsEntry> getConfidenceMetricsEntriesList()

Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Returns
Type	Description
List<ConfidenceMetricsEntry>

getConfidenceMetricsEntriesOrBuilder(int index)

public BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder getConfidenceMetricsEntriesOrBuilder(int index)

Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Parameter
Name	Description
index	int

Returns
Type	Description
BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder

getConfidenceMetricsEntriesOrBuilderList()

public List<? extends BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder> getConfidenceMetricsEntriesOrBuilderList()

Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Returns
Type	Description
List<? extends com.google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntryOrBuilder>

getDefaultInstanceForType()

public BoundingBoxMetricsEntry getDefaultInstanceForType()

Returns
Type	Description
BoundingBoxMetricsEntry

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getIouThreshold()

public float getIouThreshold()

Output only. The intersection-over-union threshold value used to compute this metrics entry.

float iou_threshold = 1;

Returns
Type	Description
float	The iouThreshold.

getMeanAveragePrecision()

public float getMeanAveragePrecision()

Output only. The mean average precision, most often close to au_prc.

float mean_average_precision = 2;

Returns
Type	Description
float	The meanAveragePrecision.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeFrom(BoundingBoxMetricsEntry other)

public BoundingBoxMetricsEntry.Builder mergeFrom(BoundingBoxMetricsEntry other)

Parameter
Name	Description
other	BoundingBoxMetricsEntry

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public BoundingBoxMetricsEntry.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public BoundingBoxMetricsEntry.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeUnknownFields(UnknownFieldSet unknownFields)

public final BoundingBoxMetricsEntry.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

removeConfidenceMetricsEntries(int index)

public BoundingBoxMetricsEntry.Builder removeConfidenceMetricsEntries(int index)

Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Parameter
Name	Description
index	int

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

setConfidenceMetricsEntries(int index, BoundingBoxMetricsEntry.ConfidenceMetricsEntry value)

public BoundingBoxMetricsEntry.Builder setConfidenceMetricsEntries(int index, BoundingBoxMetricsEntry.ConfidenceMetricsEntry value)

Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Parameters
Name	Description
index	int
value	BoundingBoxMetricsEntry.ConfidenceMetricsEntry

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

setConfidenceMetricsEntries(int index, BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder builderForValue)

public BoundingBoxMetricsEntry.Builder setConfidenceMetricsEntries(int index, BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder builderForValue)

Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.

repeated .google.cloud.automl.v1.BoundingBoxMetricsEntry.ConfidenceMetricsEntry confidence_metrics_entries = 3;

Parameters
Name	Description
index	int
builderForValue	BoundingBoxMetricsEntry.ConfidenceMetricsEntry.Builder

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public BoundingBoxMetricsEntry.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setIouThreshold(float value)

public BoundingBoxMetricsEntry.Builder setIouThreshold(float value)

Output only. The intersection-over-union threshold value used to compute this metrics entry.

float iou_threshold = 1;

Parameter
Name	Description
value	float The iouThreshold to set.

Returns
Type	Description
BoundingBoxMetricsEntry.Builder	This builder for chaining.

setMeanAveragePrecision(float value)

public BoundingBoxMetricsEntry.Builder setMeanAveragePrecision(float value)

Output only. The mean average precision, most often close to au_prc.

float mean_average_precision = 2;

Parameter
Name	Description
value	float The meanAveragePrecision to set.

Returns
Type	Description
BoundingBoxMetricsEntry.Builder	This builder for chaining.

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

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

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setUnknownFields(UnknownFieldSet unknownFields)

public final BoundingBoxMetricsEntry.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
BoundingBoxMetricsEntry.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)