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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::IndexDatapoint.
A datapoint of Index.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#crowding_tag
def crowding_tag() -> ::Google::Cloud::AIPlatform::V1::IndexDatapoint::CrowdingTag
Returns
- (::Google::Cloud::AIPlatform::V1::IndexDatapoint::CrowdingTag) — Optional. CrowdingTag of the datapoint, the number of neighbors to return in each crowding can be configured during query.
#crowding_tag=
def crowding_tag=(value) -> ::Google::Cloud::AIPlatform::V1::IndexDatapoint::CrowdingTag
Parameter
- value (::Google::Cloud::AIPlatform::V1::IndexDatapoint::CrowdingTag) — Optional. CrowdingTag of the datapoint, the number of neighbors to return in each crowding can be configured during query.
Returns
- (::Google::Cloud::AIPlatform::V1::IndexDatapoint::CrowdingTag) — Optional. CrowdingTag of the datapoint, the number of neighbors to return in each crowding can be configured during query.
#datapoint_id
def datapoint_id() -> ::String
Returns
- (::String) — Required. Unique identifier of the datapoint.
#datapoint_id=
def datapoint_id=(value) -> ::String
Parameter
- value (::String) — Required. Unique identifier of the datapoint.
Returns
- (::String) — Required. Unique identifier of the datapoint.
#feature_vector
def feature_vector() -> ::Array<::Float>
Returns
- (::Array<::Float>) — Required. Feature embedding vector. An array of numbers with the length of [NearestNeighborSearchConfig.dimensions].
#feature_vector=
def feature_vector=(value) -> ::Array<::Float>
Parameter
- value (::Array<::Float>) — Required. Feature embedding vector. An array of numbers with the length of [NearestNeighborSearchConfig.dimensions].
Returns
- (::Array<::Float>) — Required. Feature embedding vector. An array of numbers with the length of [NearestNeighborSearchConfig.dimensions].
#restricts
def restricts() -> ::Array<::Google::Cloud::AIPlatform::V1::IndexDatapoint::Restriction>
Returns
- (::Array<::Google::Cloud::AIPlatform::V1::IndexDatapoint::Restriction>) — Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
#restricts=
def restricts=(value) -> ::Array<::Google::Cloud::AIPlatform::V1::IndexDatapoint::Restriction>
Parameter
- value (::Array<::Google::Cloud::AIPlatform::V1::IndexDatapoint::Restriction>) — Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering
Returns
- (::Array<::Google::Cloud::AIPlatform::V1::IndexDatapoint::Restriction>) — Optional. List of Restrict of the datapoint, used to perform "restricted searches" where boolean rule are used to filter the subset of the database eligible for matching. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering