Google Cloud Ai Platform V1 Client - Class IndexDatapoint (1.3.0)

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class IndexDatapoint.

A datapoint of Index.

Generated from protobuf message google.cloud.aiplatform.v1.IndexDatapoint

Namespace

Google \ Cloud \ AIPlatform \ V1

Methods

__construct

Constructor.

Parameters
Name Description
data array

Optional. Data for populating the Message object.

↳ datapoint_id string

Required. Unique identifier of the datapoint.

↳ feature_vector array

Required. Feature embedding vector for dense index. An array of numbers with the length of [NearestNeighborSearchConfig.dimensions].

↳ sparse_embedding Google\Cloud\AIPlatform\V1\IndexDatapoint\SparseEmbedding

Optional. Feature embedding vector for sparse index.

↳ restricts 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. This uses categorical tokens. See: https://cloud.google.com/vertex-ai/docs/matching-engine/filtering

↳ numeric_restricts array<Google\Cloud\AIPlatform\V1\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\V1\IndexDatapoint\CrowdingTag

Optional. CrowdingTag of the datapoint, the number of neighbors to return in each crowding can be configured during query.

getDatapointId

Required. Unique identifier of the datapoint.

Returns
Type Description
string

setDatapointId

Required. Unique identifier of the datapoint.

Parameter
Name Description
var string
Returns
Type Description
$this

getFeatureVector

Required. Feature embedding vector for dense index. An array of numbers with the length of [NearestNeighborSearchConfig.dimensions].

Returns
Type Description
Google\Protobuf\Internal\RepeatedField

setFeatureVector

Required. Feature embedding vector for dense index. An array of numbers with the length of [NearestNeighborSearchConfig.dimensions].

Parameter
Name Description
var float[]
Returns
Type Description
$this

getSparseEmbedding

Optional. Feature embedding vector for sparse index.

Returns
Type Description
Google\Cloud\AIPlatform\V1\IndexDatapoint\SparseEmbedding|null

hasSparseEmbedding

clearSparseEmbedding

setSparseEmbedding

Optional. Feature embedding vector for sparse index.

Parameter
Name Description
var Google\Cloud\AIPlatform\V1\IndexDatapoint\SparseEmbedding
Returns
Type Description
$this

getRestricts

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

Returns
Type Description
Google\Protobuf\Internal\RepeatedField

setRestricts

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

Parameter
Name Description
var array<Google\Cloud\AIPlatform\V1\IndexDatapoint\Restriction>
Returns
Type Description
$this

getNumericRestricts

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.

Returns
Type Description
Google\Protobuf\Internal\RepeatedField

setNumericRestricts

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.

Parameter
Name Description
var array<Google\Cloud\AIPlatform\V1\IndexDatapoint\NumericRestriction>
Returns
Type Description
$this

getCrowdingTag

Optional. CrowdingTag of the datapoint, the number of neighbors to return in each crowding can be configured during query.

Returns
Type Description
Google\Cloud\AIPlatform\V1\IndexDatapoint\CrowdingTag|null

hasCrowdingTag

clearCrowdingTag

setCrowdingTag

Optional. CrowdingTag of the datapoint, the number of neighbors to return in each crowding can be configured during query.

Parameter
Name Description
var Google\Cloud\AIPlatform\V1\IndexDatapoint\CrowdingTag
Returns
Type Description
$this