Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::IndexDatapoint (v0.19.0)

Version 0.19.0

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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