Class IndexDatapoint (1.18.0)

Version 1.18.0

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IndexDatapoint(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A datapoint of Index.

Attributes

Name	Description
datapoint_id	str Required. Unique identifier of the datapoint.
feature_vector	Sequence[float] Required. Feature embedding vector. An array of numbers with the length of [NearestNeighborSearchConfig.dimensions].
restricts	Sequence[google.cloud.aiplatform_v1.types.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
crowding_tag	google.cloud.aiplatform_v1.types.IndexDatapoint.CrowdingTag Optional. CrowdingTag of the datapoint, the number of neighbors to return in each crowding can be configured during query.

Inheritance

builtins.object > proto.message.Message > IndexDatapoint

Classes

CrowdingTag

CrowdingTag(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Crowding tag is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute.

Restriction

Restriction(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Restriction of a datapoint which describe its attributes(tokens) from each of several attribute categories(namespaces).