Vertex AI v1beta1 API - Class FindNeighborsResponse.Types.Neighbor (1.0.0-beta61)

Version latest

• 1.0.0-beta61 (latest)
• 1.0.0-beta60

public sealed class FindNeighborsResponse.Types.Neighbor : IMessage<FindNeighborsResponse.Types.Neighbor>, IEquatable<FindNeighborsResponse.Types.Neighbor>, IDeepCloneable<FindNeighborsResponse.Types.Neighbor>, IBufferMessage, IMessage

Reference documentation and code samples for the Vertex AI v1beta1 API class FindNeighborsResponse.Types.Neighbor.

A neighbor of the query vector.

Inheritance

object > FindNeighborsResponse.Types.Neighbor

Implements

IMessageFindNeighborsResponseTypesNeighbor, IEquatableFindNeighborsResponseTypesNeighbor, IDeepCloneableFindNeighborsResponseTypesNeighbor, IBufferMessage, IMessage

Inherited Members

object.GetHashCode()

object.GetType()

object.ToString()

Namespace

Google.Cloud.AIPlatform.V1Beta1

Assembly

Google.Cloud.AIPlatform.V1Beta1.dll

Constructors

Neighbor()

public Neighbor()

Neighbor(Neighbor)

public Neighbor(FindNeighborsResponse.Types.Neighbor other)

Parameter
Name	Description
other	FindNeighborsResponseTypesNeighbor

Properties

Datapoint

public IndexDatapoint Datapoint { get; set; }

The datapoint of the neighbor. Note that full datapoints are returned only when "return_full_datapoint" is set to true. Otherwise, only the "datapoint_id" and "crowding_tag" fields are populated.

Property Value
Type	Description
IndexDatapoint

Distance

public double Distance { get; set; }

The distance between the neighbor and the dense embedding query.

Property Value
Type	Description
double

SparseDistance

public double SparseDistance { get; set; }

The distance between the neighbor and the query sparse_embedding.

Property Value
Type	Description
double