Class BoundingBoxMetricsEntry.Builder (2.16.0)

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)