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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 > IndexDatapointClasses
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).