public sealed class IndexDatapoint.Types.SparseEmbedding : IMessage<IndexDatapoint.Types.SparseEmbedding>, IEquatable<IndexDatapoint.Types.SparseEmbedding>, IDeepCloneable<IndexDatapoint.Types.SparseEmbedding>, IBufferMessage, IMessage
Reference documentation and code samples for the Cloud AI Platform v1beta1 API class IndexDatapoint.Types.SparseEmbedding.
Feature embedding vector for sparse index. An array of numbers whose values
are located in the specified dimensions.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-25 UTC."],[[["This document provides reference documentation for the `IndexDatapoint.Types.SparseEmbedding` class within the Cloud AI Platform v1beta1 API."],["`SparseEmbedding` is a feature embedding vector used for sparse indexing, represented as an array of numbers located in specific dimensions."],["The class implements several interfaces including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, supporting various functionalities such as message handling and cloning."],["It includes two constructors: a default constructor `SparseEmbedding()` and a copy constructor `SparseEmbedding(SparseEmbedding other)`."],["Key properties include `Dimensions`, which is a `RepeatedField` of long integers representing the list of indexes for the embedding values, and `Values`, which is a `RepeatedField` of floats representing the list of embedding values."]]],[]]
