NearestNeighborQuery class - aiplatform library

Constructors

NearestNeighborQuery({String? entityId, NearestNeighborQuery_Embedding? embedding, int neighborCount = 0, List<NearestNeighborQuery_StringFilter> stringFilters = const [], List<NearestNeighborQuery_NumericFilter> numericFilters = const [], int perCrowdingAttributeNeighborCount = 0, NearestNeighborQuery_Parameters? parameters})
NearestNeighborQuery.fromJson(Object? j): factory

embedding → NearestNeighborQuery_Embedding?: Optional. The embedding vector that be used for similar search.
final
entityId → String?: Optional. The entity id whose similar entities should be searched for. If embedding is set, search will use embedding instead of entity_id.
final
hashCode → int: The hash code for this object.
no setterinherited
neighborCount → int: Optional. The number of similar entities to be retrieved from feature view for each query.
final
numericFilters → List<NearestNeighborQuery_NumericFilter>: Optional. The list of numeric filters.
final
parameters → NearestNeighborQuery_Parameters?: Optional. Parameters that can be set to tune query on the fly.
final
perCrowdingAttributeNeighborCount → int: 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.
final
qualifiedName → String: The fully qualified name of this message, i.e., google.protobuf.Duration or google.rpc.ErrorInfo.
finalinherited
runtimeType → Type: A representation of the runtime type of the object.
no setterinherited
stringFilters → List<NearestNeighborQuery_StringFilter>: Optional. The list of string filters.
final

noSuchMethod(Invocation invocation) → dynamic: Invoked when a nonexistent method or property is accessed.
inherited
toJson() → Object: override
toString() → String: A string representation of this object.
override