GoogleCloudAiplatformV1NearestNeighborQuery
import type { GoogleCloudAiplatformV1NearestNeighborQuery } from "https://googleapis.deno.dev/v1/aiplatform:v1.ts";A query to find a number of similar entities.
interface GoogleCloudAiplatformV1NearestNeighborQuery {
embedding?: GoogleCloudAiplatformV1NearestNeighborQueryEmbedding;
entityId?: string;
neighborCount?: number;
parameters?: GoogleCloudAiplatformV1NearestNeighborQueryParameters;
perCrowdingAttributeNeighborCount?: number;
stringFilters?: GoogleCloudAiplatformV1NearestNeighborQueryStringFilter[];
}§Properties
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Optional. The embedding vector that be used for similar search.
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entityId?: string
[src]Optional. The entity id whose similar entities should be searched for. If embedding is set, search will use embedding instead of entity_id.
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neighborCount?: number
[src]Optional. The number of similar entities to be retrieved from feature view for each query.
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Optional. Parameters that can be set to tune query on the fly.
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perCrowdingAttributeNeighborCount?: number
[src]Optional. Crowding is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than sper_crowding_attribute_neighbor_count of the k neighbors returned have the same value of crowding_attribute. It's used for improving result diversity.
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stringFilters?: GoogleCloudAiplatformV1NearestNeighborQueryStringFilter[]
[src]Optional. The list of string filters.