Class FindNeighborsRequest.Query.Builder (3.37.0)

Version 3.37.0

• 3.52.0 (latest)
• 3.50.0
• 3.49.0
• 3.48.0
• 3.47.0
• 3.46.0
• 3.45.0
• 3.44.0
• 3.43.0
• 3.42.0
• 3.41.0
• 3.40.0
• 3.38.0
• 3.37.0
• 3.36.0
• 3.35.0
• 3.34.0
• 3.33.0
• 3.32.0
• 3.31.0
• 3.30.0
• 3.29.0
• 3.28.0
• 3.25.0
• 3.24.0
• 3.23.0
• 3.22.0
• 3.21.0
• 3.20.0
• 3.19.0
• 3.18.0
• 3.17.0
• 3.16.0
• 3.15.0
• 3.14.0
• 3.13.0
• 3.12.0
• 3.11.0
• 3.10.0
• 3.9.0
• 3.8.0
• 3.7.0
• 3.6.0
• 3.5.0
• 3.4.2
• 3.3.0
• 3.2.0
• 3.0.0
• 2.9.8
• 2.8.9
• 2.7.4
• 2.5.3
• 2.4.0

public static final class FindNeighborsRequest.Query.Builder extends GeneratedMessageV3.Builder<FindNeighborsRequest.Query.Builder> implements FindNeighborsRequest.QueryOrBuilder

A query to find a number of the nearest neighbors (most similar vectors) of a vector.

Protobuf type google.cloud.aiplatform.v1beta1.FindNeighborsRequest.Query

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > FindNeighborsRequest.Query.Builder

Implements

FindNeighborsRequest.QueryOrBuilder

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)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(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

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
FindNeighborsRequest.Query.Builder

Overrides

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

build()

public FindNeighborsRequest.Query build()

Returns
Type	Description
FindNeighborsRequest.Query

buildPartial()

public FindNeighborsRequest.Query buildPartial()

Returns
Type	Description
FindNeighborsRequest.Query

clear()

public FindNeighborsRequest.Query.Builder clear()

Returns
Type	Description
FindNeighborsRequest.Query.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearApproximateNeighborCount()

public FindNeighborsRequest.Query.Builder clearApproximateNeighborCount()

The number of neighbors to find via approximate search before exact reordering is performed. If not set, the default value from scam config is used; if set, this value must be > 0.

int32 approximate_neighbor_count = 4;

Returns
Type	Description
FindNeighborsRequest.Query.Builder	This builder for chaining.

clearDatapoint()

public FindNeighborsRequest.Query.Builder clearDatapoint()

Required. The datapoint/vector whose nearest neighbors should be searched for.

.google.cloud.aiplatform.v1beta1.IndexDatapoint datapoint = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
FindNeighborsRequest.Query.Builder

clearField(Descriptors.FieldDescriptor field)

public FindNeighborsRequest.Query.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
FindNeighborsRequest.Query.Builder

Overrides

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

clearFractionLeafNodesToSearchOverride()

public FindNeighborsRequest.Query.Builder clearFractionLeafNodesToSearchOverride()

The fraction of the number of leaves to search, set at query time allows user to tune search performance. This value increase result in both search accuracy and latency increase. The value should be between 0.0 and 1.0. If not set or set to 0.0, query uses the default value specified in NearestNeighborSearchConfig.TreeAHConfig.fraction_leaf_nodes_to_search.

double fraction_leaf_nodes_to_search_override = 5;

Returns
Type	Description
FindNeighborsRequest.Query.Builder	This builder for chaining.

clearNeighborCount()

public FindNeighborsRequest.Query.Builder clearNeighborCount()

The number of nearest neighbors to be retrieved from database for each query. If not set, will use the default from the service configuration (https://cloud.google.com/vertex-ai/docs/matching-engine/configuring-indexes#nearest-neighbor-search-config).

int32 neighbor_count = 2;

Returns
Type	Description
FindNeighborsRequest.Query.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public FindNeighborsRequest.Query.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
FindNeighborsRequest.Query.Builder

Overrides

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

clearPerCrowdingAttributeNeighborCount()

public FindNeighborsRequest.Query.Builder clearPerCrowdingAttributeNeighborCount()

Crowding is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute. It's used for improving result diversity. This field is the maximum number of matches with the same crowding tag.

int32 per_crowding_attribute_neighbor_count = 3;

Returns
Type	Description
FindNeighborsRequest.Query.Builder	This builder for chaining.

clone()

public FindNeighborsRequest.Query.Builder clone()

Returns
Type	Description
FindNeighborsRequest.Query.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getApproximateNeighborCount()

public int getApproximateNeighborCount()

The number of neighbors to find via approximate search before exact reordering is performed. If not set, the default value from scam config is used; if set, this value must be > 0.

int32 approximate_neighbor_count = 4;

Returns
Type	Description
int	The approximateNeighborCount.

getDatapoint()

public IndexDatapoint getDatapoint()

Required. The datapoint/vector whose nearest neighbors should be searched for.

.google.cloud.aiplatform.v1beta1.IndexDatapoint datapoint = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
IndexDatapoint	The datapoint.

getDatapointBuilder()

public IndexDatapoint.Builder getDatapointBuilder()

Required. The datapoint/vector whose nearest neighbors should be searched for.

.google.cloud.aiplatform.v1beta1.IndexDatapoint datapoint = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
IndexDatapoint.Builder

getDatapointOrBuilder()

public IndexDatapointOrBuilder getDatapointOrBuilder()

Required. The datapoint/vector whose nearest neighbors should be searched for.

.google.cloud.aiplatform.v1beta1.IndexDatapoint datapoint = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
IndexDatapointOrBuilder

getDefaultInstanceForType()

public FindNeighborsRequest.Query getDefaultInstanceForType()

Returns
Type	Description
FindNeighborsRequest.Query

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getFractionLeafNodesToSearchOverride()

public double getFractionLeafNodesToSearchOverride()

The fraction of the number of leaves to search, set at query time allows user to tune search performance. This value increase result in both search accuracy and latency increase. The value should be between 0.0 and 1.0. If not set or set to 0.0, query uses the default value specified in NearestNeighborSearchConfig.TreeAHConfig.fraction_leaf_nodes_to_search.

double fraction_leaf_nodes_to_search_override = 5;

Returns
Type	Description
double	The fractionLeafNodesToSearchOverride.

getNeighborCount()

public int getNeighborCount()

The number of nearest neighbors to be retrieved from database for each query. If not set, will use the default from the service configuration (https://cloud.google.com/vertex-ai/docs/matching-engine/configuring-indexes#nearest-neighbor-search-config).

int32 neighbor_count = 2;

Returns
Type	Description
int	The neighborCount.

getPerCrowdingAttributeNeighborCount()

public int getPerCrowdingAttributeNeighborCount()

Crowding is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute. It's used for improving result diversity. This field is the maximum number of matches with the same crowding tag.

int32 per_crowding_attribute_neighbor_count = 3;

Returns
Type	Description
int	The perCrowdingAttributeNeighborCount.

hasDatapoint()

public boolean hasDatapoint()

Required. The datapoint/vector whose nearest neighbors should be searched for.

.google.cloud.aiplatform.v1beta1.IndexDatapoint datapoint = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
boolean	Whether the datapoint field is set.

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()

mergeDatapoint(IndexDatapoint value)

public FindNeighborsRequest.Query.Builder mergeDatapoint(IndexDatapoint value)

Required. The datapoint/vector whose nearest neighbors should be searched for.

.google.cloud.aiplatform.v1beta1.IndexDatapoint datapoint = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
value	IndexDatapoint

Returns
Type	Description
FindNeighborsRequest.Query.Builder

mergeFrom(FindNeighborsRequest.Query other)

public FindNeighborsRequest.Query.Builder mergeFrom(FindNeighborsRequest.Query other)

Parameter
Name	Description
other	FindNeighborsRequest.Query

Returns
Type	Description
FindNeighborsRequest.Query.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public FindNeighborsRequest.Query.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
FindNeighborsRequest.Query.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public FindNeighborsRequest.Query.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
FindNeighborsRequest.Query.Builder

Overrides

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

mergeUnknownFields(UnknownFieldSet unknownFields)

public final FindNeighborsRequest.Query.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
FindNeighborsRequest.Query.Builder

Overrides

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

setApproximateNeighborCount(int value)

public FindNeighborsRequest.Query.Builder setApproximateNeighborCount(int value)

The number of neighbors to find via approximate search before exact reordering is performed. If not set, the default value from scam config is used; if set, this value must be > 0.

int32 approximate_neighbor_count = 4;

Parameter
Name	Description
value	int The approximateNeighborCount to set.

Returns
Type	Description
FindNeighborsRequest.Query.Builder	This builder for chaining.

setDatapoint(IndexDatapoint value)

public FindNeighborsRequest.Query.Builder setDatapoint(IndexDatapoint value)

Required. The datapoint/vector whose nearest neighbors should be searched for.

.google.cloud.aiplatform.v1beta1.IndexDatapoint datapoint = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
value	IndexDatapoint

Returns
Type	Description
FindNeighborsRequest.Query.Builder

setDatapoint(IndexDatapoint.Builder builderForValue)

public FindNeighborsRequest.Query.Builder setDatapoint(IndexDatapoint.Builder builderForValue)

Required. The datapoint/vector whose nearest neighbors should be searched for.

.google.cloud.aiplatform.v1beta1.IndexDatapoint datapoint = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
builderForValue	IndexDatapoint.Builder

Returns
Type	Description
FindNeighborsRequest.Query.Builder

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
FindNeighborsRequest.Query.Builder

Overrides

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

setFractionLeafNodesToSearchOverride(double value)

public FindNeighborsRequest.Query.Builder setFractionLeafNodesToSearchOverride(double value)

The fraction of the number of leaves to search, set at query time allows user to tune search performance. This value increase result in both search accuracy and latency increase. The value should be between 0.0 and 1.0. If not set or set to 0.0, query uses the default value specified in NearestNeighborSearchConfig.TreeAHConfig.fraction_leaf_nodes_to_search.

double fraction_leaf_nodes_to_search_override = 5;

Parameter
Name	Description
value	double The fractionLeafNodesToSearchOverride to set.

Returns
Type	Description
FindNeighborsRequest.Query.Builder	This builder for chaining.

setNeighborCount(int value)

public FindNeighborsRequest.Query.Builder setNeighborCount(int value)

The number of nearest neighbors to be retrieved from database for each query. If not set, will use the default from the service configuration (https://cloud.google.com/vertex-ai/docs/matching-engine/configuring-indexes#nearest-neighbor-search-config).

int32 neighbor_count = 2;

Parameter
Name	Description
value	int The neighborCount to set.

Returns
Type	Description
FindNeighborsRequest.Query.Builder	This builder for chaining.

setPerCrowdingAttributeNeighborCount(int value)

public FindNeighborsRequest.Query.Builder setPerCrowdingAttributeNeighborCount(int value)

Crowding is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute. It's used for improving result diversity. This field is the maximum number of matches with the same crowding tag.

int32 per_crowding_attribute_neighbor_count = 3;

Parameter
Name	Description
value	int The perCrowdingAttributeNeighborCount to set.

Returns
Type	Description
FindNeighborsRequest.Query.Builder	This builder for chaining.

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

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

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
FindNeighborsRequest.Query.Builder

Overrides

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

setUnknownFields(UnknownFieldSet unknownFields)

public final FindNeighborsRequest.Query.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
FindNeighborsRequest.Query.Builder

Overrides

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