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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::FindNeighborsResponse::Neighbor.
A neighbor of the query vector.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#datapoint
def datapoint() -> ::Google::Cloud::AIPlatform::V1::IndexDatapoint
Returns
- (::Google::Cloud::AIPlatform::V1::IndexDatapoint) — 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.
#datapoint=
def datapoint=(value) -> ::Google::Cloud::AIPlatform::V1::IndexDatapoint
Parameter
- value (::Google::Cloud::AIPlatform::V1::IndexDatapoint) — 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.
Returns
- (::Google::Cloud::AIPlatform::V1::IndexDatapoint) — 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.
#distance
def distance() -> ::Float
Returns
- (::Float) — The distance between the neighbor and the dense embedding query.
#distance=
def distance=(value) -> ::Float
Parameter
- value (::Float) — The distance between the neighbor and the dense embedding query.
Returns
- (::Float) — The distance between the neighbor and the dense embedding query.
#sparse_distance
def sparse_distance() -> ::Float
Returns
- (::Float) — The distance between the neighbor and the query sparse_embedding.
#sparse_distance=
def sparse_distance=(value) -> ::Float
Parameter
- value (::Float) — The distance between the neighbor and the query sparse_embedding.
Returns
- (::Float) — The distance between the neighbor and the query sparse_embedding.