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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 |
MutableSequence[float]
Required. Feature embedding vector for dense index. An array of numbers with the length of [NearestNeighborSearchConfig.dimensions]. |
sparse_embedding |
google.cloud.aiplatform_v1beta1.types.IndexDatapoint.SparseEmbedding
Optional. Feature embedding vector for sparse index. |
restricts |
MutableSequence[google.cloud.aiplatform_v1beta1.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. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering |
numeric_restricts |
MutableSequence[google.cloud.aiplatform_v1beta1.types.IndexDatapoint.NumericRestriction]
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. This uses numeric comparisons. |
crowding_tag |
google.cloud.aiplatform_v1beta1.types.IndexDatapoint.CrowdingTag
Optional. CrowdingTag of the datapoint, the number of neighbors to return in each crowding can be configured during query. |
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.
NumericRestriction
NumericRestriction(mapping=None, *, ignore_unknown_fields=False, **kwargs)
This field allows restricts to be based on numeric comparisons rather than categorical tokens.
This message has oneof
_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
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).
SparseEmbedding
SparseEmbedding(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Feature embedding vector for sparse index. An array of numbers whose values are located in the specified dimensions.
Methods
IndexDatapoint
IndexDatapoint(mapping=None, *, ignore_unknown_fields=False, **kwargs)
A datapoint of Index.